{
  "auth": {
    "oauth2": {
      "scopes": {
        "https://www.googleapis.com/auth/cloud-platform": {
          "description": "View and manage your data across Google Cloud Platform services"
        }
      }
    }
  },
  "basePath": "",
  "baseUrl": "https://videointelligence.googleapis.com/",
  "batchPath": "batch",
  "canonicalName": "Cloud Video Intelligence",
  "description": "Detects objects, explicit content, and scene changes in videos. It also specifies the region for annotation and transcribes speech to text. Supports both asynchronous API and streaming API.",
  "discoveryVersion": "v1",
  "documentationLink": "https://cloud.google.com/video-intelligence/docs/",
  "fullyEncodeReservedExpansion": true,
  "icons": {
    "x16": "http://www.google.com/images/icons/product/search-16.gif",
    "x32": "http://www.google.com/images/icons/product/search-32.gif"
  },
  "id": "videointelligence:v1beta2",
  "kind": "discovery#restDescription",
  "mtlsRootUrl": "https://videointelligence.mtls.googleapis.com/",
  "name": "videointelligence",
  "ownerDomain": "google.com",
  "ownerName": "Google",
  "parameters": {
    "$.xgafv": {
      "description": "V1 error format.",
      "enum": [
        "1",
        "2"
      ],
      "enumDescriptions": [
        "v1 error format",
        "v2 error format"
      ],
      "location": "query",
      "type": "string"
    },
    "access_token": {
      "description": "OAuth access token.",
      "location": "query",
      "type": "string"
    },
    "alt": {
      "default": "json",
      "description": "Data format for response.",
      "enum": [
        "json",
        "media",
        "proto"
      ],
      "enumDescriptions": [
        "Responses with Content-Type of application/json",
        "Media download with context-dependent Content-Type",
        "Responses with Content-Type of application/x-protobuf"
      ],
      "location": "query",
      "type": "string"
    },
    "callback": {
      "description": "JSONP",
      "location": "query",
      "type": "string"
    },
    "fields": {
      "description": "Selector specifying which fields to include in a partial response.",
      "location": "query",
      "type": "string"
    },
    "key": {
      "description": "API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.",
      "location": "query",
      "type": "string"
    },
    "oauth_token": {
      "description": "OAuth 2.0 token for the current user.",
      "location": "query",
      "type": "string"
    },
    "prettyPrint": {
      "default": "true",
      "description": "Returns response with indentations and line breaks.",
      "location": "query",
      "type": "boolean"
    },
    "quotaUser": {
      "description": "Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.",
      "location": "query",
      "type": "string"
    },
    "uploadType": {
      "description": "Legacy upload protocol for media (e.g. \"media\", \"multipart\").",
      "location": "query",
      "type": "string"
    },
    "upload_protocol": {
      "description": "Upload protocol for media (e.g. \"raw\", \"multipart\").",
      "location": "query",
      "type": "string"
    }
  },
  "protocol": "rest",
  "resources": {
    "videos": {
      "methods": {
        "annotate": {
          "description": "Performs asynchronous video annotation. Progress and results can be\nretrieved through the `google.longrunning.Operations` interface.\n`Operation.metadata` contains `AnnotateVideoProgress` (progress).\n`Operation.response` contains `AnnotateVideoResponse` (results).",
          "flatPath": "v1beta2/videos:annotate",
          "httpMethod": "POST",
          "id": "videointelligence.videos.annotate",
          "parameterOrder": [],
          "parameters": {},
          "path": "v1beta2/videos:annotate",
          "request": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_AnnotateVideoRequest"
          },
          "response": {
            "$ref": "GoogleLongrunning_Operation"
          },
          "scopes": [
            "https://www.googleapis.com/auth/cloud-platform"
          ]
        }
      }
    }
  },
  "revision": "20200310",
  "rootUrl": "https://videointelligence.googleapis.com/",
  "schemas": {
    "GoogleCloudVideointelligenceV1_AnnotateVideoProgress": {
      "description": "Video annotation progress. Included in the `metadata`\nfield of the `Operation` returned by the `GetOperation`\ncall of the `google::longrunning::Operations` service.",
      "id": "GoogleCloudVideointelligenceV1_AnnotateVideoProgress",
      "properties": {
        "annotationProgress": {
          "description": "Progress metadata for all videos specified in `AnnotateVideoRequest`.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_VideoAnnotationProgress"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1_AnnotateVideoResponse": {
      "description": "Video annotation response. Included in the `response`\nfield of the `Operation` returned by the `GetOperation`\ncall of the `google::longrunning::Operations` service.",
      "id": "GoogleCloudVideointelligenceV1_AnnotateVideoResponse",
      "properties": {
        "annotationResults": {
          "description": "Annotation results for all videos specified in `AnnotateVideoRequest`.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_VideoAnnotationResults"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1_DetectedAttribute": {
      "description": "A generic detected attribute represented by name in string format.",
      "id": "GoogleCloudVideointelligenceV1_DetectedAttribute",
      "properties": {
        "confidence": {
          "description": "Detected attribute confidence. Range [0, 1].",
          "format": "float",
          "type": "number"
        },
        "name": {
          "description": "The name of the attribute, i.e. glasses, dark_glasses, mouth_open etc.\nA full list of supported type names will be provided in the document.",
          "type": "string"
        },
        "value": {
          "description": "Text value of the detection result. For example, the value for \"HairColor\"\ncan be \"black\", \"blonde\", etc.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1_DetectedLandmark": {
      "description": "A generic detected landmark represented by name in string format and a 2D\nlocation.",
      "id": "GoogleCloudVideointelligenceV1_DetectedLandmark",
      "properties": {
        "confidence": {
          "description": "The confidence score of the detected landmark. Range [0, 1].",
          "format": "float",
          "type": "number"
        },
        "name": {
          "description": "The name of this landmark, i.e. left_hand, right_shoulder.",
          "type": "string"
        },
        "point": {
          "$ref": "GoogleCloudVideointelligenceV1_NormalizedVertex",
          "description": "The 2D point of the detected landmark using the normalized image\ncoordindate system. The normalized coordinates have the range from 0 to 1."
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1_Entity": {
      "description": "Detected entity from video analysis.",
      "id": "GoogleCloudVideointelligenceV1_Entity",
      "properties": {
        "description": {
          "description": "Textual description, e.g. `Fixed-gear bicycle`.",
          "type": "string"
        },
        "entityId": {
          "description": "Opaque entity ID. Some IDs may be available in\n[Google Knowledge Graph Search\nAPI](https://developers.google.com/knowledge-graph/).",
          "type": "string"
        },
        "languageCode": {
          "description": "Language code for `description` in BCP-47 format.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1_ExplicitContentAnnotation": {
      "description": "Explicit content annotation (based on per-frame visual signals only).\nIf no explicit content has been detected in a frame, no annotations are\npresent for that frame.",
      "id": "GoogleCloudVideointelligenceV1_ExplicitContentAnnotation",
      "properties": {
        "frames": {
          "description": "All video frames where explicit content was detected.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_ExplicitContentFrame"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1_ExplicitContentFrame": {
      "description": "Video frame level annotation results for explicit content.",
      "id": "GoogleCloudVideointelligenceV1_ExplicitContentFrame",
      "properties": {
        "pornographyLikelihood": {
          "description": "Likelihood of the pornography content..",
          "enum": [
            "LIKELIHOOD_UNSPECIFIED",
            "VERY_UNLIKELY",
            "UNLIKELY",
            "POSSIBLE",
            "LIKELY",
            "VERY_LIKELY"
          ],
          "enumDescriptions": [
            "Unspecified likelihood.",
            "Very unlikely.",
            "Unlikely.",
            "Possible.",
            "Likely.",
            "Very likely."
          ],
          "type": "string"
        },
        "timeOffset": {
          "description": "Time-offset, relative to the beginning of the video, corresponding to the\nvideo frame for this location.",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1_LabelAnnotation": {
      "description": "Label annotation.",
      "id": "GoogleCloudVideointelligenceV1_LabelAnnotation",
      "properties": {
        "categoryEntities": {
          "description": "Common categories for the detected entity.\nE.g. when the label is `Terrier` the category is likely `dog`. And in some\ncases there might be more than one categories e.g. `Terrier` could also be\na `pet`.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_Entity"
          },
          "type": "array"
        },
        "entity": {
          "$ref": "GoogleCloudVideointelligenceV1_Entity",
          "description": "Detected entity."
        },
        "frames": {
          "description": "All video frames where a label was detected.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_LabelFrame"
          },
          "type": "array"
        },
        "segments": {
          "description": "All video segments where a label was detected.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_LabelSegment"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1_LabelFrame": {
      "description": "Video frame level annotation results for label detection.",
      "id": "GoogleCloudVideointelligenceV1_LabelFrame",
      "properties": {
        "confidence": {
          "description": "Confidence that the label is accurate. Range: [0, 1].",
          "format": "float",
          "type": "number"
        },
        "timeOffset": {
          "description": "Time-offset, relative to the beginning of the video, corresponding to the\nvideo frame for this location.",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1_LabelSegment": {
      "description": "Video segment level annotation results for label detection.",
      "id": "GoogleCloudVideointelligenceV1_LabelSegment",
      "properties": {
        "confidence": {
          "description": "Confidence that the label is accurate. Range: [0, 1].",
          "format": "float",
          "type": "number"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1_VideoSegment",
          "description": "Video segment where a label was detected."
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1_LogoRecognitionAnnotation": {
      "description": "Annotation corresponding to one detected, tracked and recognized logo class.",
      "id": "GoogleCloudVideointelligenceV1_LogoRecognitionAnnotation",
      "properties": {
        "entity": {
          "$ref": "GoogleCloudVideointelligenceV1_Entity",
          "description": "Entity category information to specify the logo class that all the logo\ntracks within this LogoRecognitionAnnotation are recognized as."
        },
        "segments": {
          "description": "All video segments where the recognized logo appears. There might be\nmultiple instances of the same logo class appearing in one VideoSegment.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_VideoSegment"
          },
          "type": "array"
        },
        "tracks": {
          "description": "All logo tracks where the recognized logo appears. Each track corresponds\nto one logo instance appearing in consecutive frames.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_Track"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1_NormalizedBoundingBox": {
      "description": "Normalized bounding box.\nThe normalized vertex coordinates are relative to the original image.\nRange: [0, 1].",
      "id": "GoogleCloudVideointelligenceV1_NormalizedBoundingBox",
      "properties": {
        "bottom": {
          "description": "Bottom Y coordinate.",
          "format": "float",
          "type": "number"
        },
        "left": {
          "description": "Left X coordinate.",
          "format": "float",
          "type": "number"
        },
        "right": {
          "description": "Right X coordinate.",
          "format": "float",
          "type": "number"
        },
        "top": {
          "description": "Top Y coordinate.",
          "format": "float",
          "type": "number"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1_NormalizedBoundingPoly": {
      "description": "Normalized bounding polygon for text (that might not be aligned with axis).\nContains list of the corner points in clockwise order starting from\ntop-left corner. For example, for a rectangular bounding box:\nWhen the text is horizontal it might look like:\n        0----1\n        |    |\n        3----2\n\nWhen it's clockwise rotated 180 degrees around the top-left corner it\nbecomes:\n        2----3\n        |    |\n        1----0\n\nand the vertex order will still be (0, 1, 2, 3). Note that values can be less\nthan 0, or greater than 1 due to trignometric calculations for location of\nthe box.",
      "id": "GoogleCloudVideointelligenceV1_NormalizedBoundingPoly",
      "properties": {
        "vertices": {
          "description": "Normalized vertices of the bounding polygon.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_NormalizedVertex"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1_NormalizedVertex": {
      "description": "A vertex represents a 2D point in the image.\nNOTE: the normalized vertex coordinates are relative to the original image\nand range from 0 to 1.",
      "id": "GoogleCloudVideointelligenceV1_NormalizedVertex",
      "properties": {
        "x": {
          "description": "X coordinate.",
          "format": "float",
          "type": "number"
        },
        "y": {
          "description": "Y coordinate.",
          "format": "float",
          "type": "number"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1_ObjectTrackingAnnotation": {
      "description": "Annotations corresponding to one tracked object.",
      "id": "GoogleCloudVideointelligenceV1_ObjectTrackingAnnotation",
      "properties": {
        "confidence": {
          "description": "Object category's labeling confidence of this track.",
          "format": "float",
          "type": "number"
        },
        "entity": {
          "$ref": "GoogleCloudVideointelligenceV1_Entity",
          "description": "Entity to specify the object category that this track is labeled as."
        },
        "frames": {
          "description": "Information corresponding to all frames where this object track appears.\nNon-streaming batch mode: it may be one or multiple ObjectTrackingFrame\nmessages in frames.\nStreaming mode: it can only be one ObjectTrackingFrame message in frames.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_ObjectTrackingFrame"
          },
          "type": "array"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1_VideoSegment",
          "description": "Non-streaming batch mode ONLY.\nEach object track corresponds to one video segment where it appears."
        },
        "trackId": {
          "description": "Streaming mode ONLY.\nIn streaming mode, we do not know the end time of a tracked object\nbefore it is completed. Hence, there is no VideoSegment info returned.\nInstead, we provide a unique identifiable integer track_id so that\nthe customers can correlate the results of the ongoing\nObjectTrackAnnotation of the same track_id over time.",
          "format": "int64",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1_ObjectTrackingFrame": {
      "description": "Video frame level annotations for object detection and tracking. This field\nstores per frame location, time offset, and confidence.",
      "id": "GoogleCloudVideointelligenceV1_ObjectTrackingFrame",
      "properties": {
        "normalizedBoundingBox": {
          "$ref": "GoogleCloudVideointelligenceV1_NormalizedBoundingBox",
          "description": "The normalized bounding box location of this object track for the frame."
        },
        "timeOffset": {
          "description": "The timestamp of the frame in microseconds.",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1_SpeechRecognitionAlternative": {
      "description": "Alternative hypotheses (a.k.a. n-best list).",
      "id": "GoogleCloudVideointelligenceV1_SpeechRecognitionAlternative",
      "properties": {
        "confidence": {
          "description": "Output only. The confidence estimate between 0.0 and 1.0. A higher number\nindicates an estimated greater likelihood that the recognized words are\ncorrect. This field is set only for the top alternative.\nThis field is not guaranteed to be accurate and users should not rely on it\nto be always provided.\nThe default of 0.0 is a sentinel value indicating `confidence` was not set.",
          "format": "float",
          "type": "number"
        },
        "transcript": {
          "description": "Transcript text representing the words that the user spoke.",
          "type": "string"
        },
        "words": {
          "description": "Output only. A list of word-specific information for each recognized word.\nNote: When `enable_speaker_diarization` is true, you will see all the words\nfrom the beginning of the audio.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_WordInfo"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1_SpeechTranscription": {
      "description": "A speech recognition result corresponding to a portion of the audio.",
      "id": "GoogleCloudVideointelligenceV1_SpeechTranscription",
      "properties": {
        "alternatives": {
          "description": "May contain one or more recognition hypotheses (up to the maximum specified\nin `max_alternatives`).  These alternatives are ordered in terms of\naccuracy, with the top (first) alternative being the most probable, as\nranked by the recognizer.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_SpeechRecognitionAlternative"
          },
          "type": "array"
        },
        "languageCode": {
          "description": "Output only. The [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag of\nthe language in this result. This language code was detected to have the\nmost likelihood of being spoken in the audio.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1_TextAnnotation": {
      "description": "Annotations related to one detected OCR text snippet. This will contain the\ncorresponding text, confidence value, and frame level information for each\ndetection.",
      "id": "GoogleCloudVideointelligenceV1_TextAnnotation",
      "properties": {
        "segments": {
          "description": "All video segments where OCR detected text appears.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_TextSegment"
          },
          "type": "array"
        },
        "text": {
          "description": "The detected text.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1_TextFrame": {
      "description": "Video frame level annotation results for text annotation (OCR).\nContains information regarding timestamp and bounding box locations for the\nframes containing detected OCR text snippets.",
      "id": "GoogleCloudVideointelligenceV1_TextFrame",
      "properties": {
        "rotatedBoundingBox": {
          "$ref": "GoogleCloudVideointelligenceV1_NormalizedBoundingPoly",
          "description": "Bounding polygon of the detected text for this frame."
        },
        "timeOffset": {
          "description": "Timestamp of this frame.",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1_TextSegment": {
      "description": "Video segment level annotation results for text detection.",
      "id": "GoogleCloudVideointelligenceV1_TextSegment",
      "properties": {
        "confidence": {
          "description": "Confidence for the track of detected text. It is calculated as the highest\nover all frames where OCR detected text appears.",
          "format": "float",
          "type": "number"
        },
        "frames": {
          "description": "Information related to the frames where OCR detected text appears.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_TextFrame"
          },
          "type": "array"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1_VideoSegment",
          "description": "Video segment where a text snippet was detected."
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1_TimestampedObject": {
      "description": "For tracking related features.\nAn object at time_offset with attributes, and located with\nnormalized_bounding_box.",
      "id": "GoogleCloudVideointelligenceV1_TimestampedObject",
      "properties": {
        "attributes": {
          "description": "Optional. The attributes of the object in the bounding box.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_DetectedAttribute"
          },
          "type": "array"
        },
        "landmarks": {
          "description": "Optional. The detected landmarks.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_DetectedLandmark"
          },
          "type": "array"
        },
        "normalizedBoundingBox": {
          "$ref": "GoogleCloudVideointelligenceV1_NormalizedBoundingBox",
          "description": "Normalized Bounding box in a frame, where the object is located."
        },
        "timeOffset": {
          "description": "Time-offset, relative to the beginning of the video,\ncorresponding to the video frame for this object.",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1_Track": {
      "description": "A track of an object instance.",
      "id": "GoogleCloudVideointelligenceV1_Track",
      "properties": {
        "attributes": {
          "description": "Optional. Attributes in the track level.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_DetectedAttribute"
          },
          "type": "array"
        },
        "confidence": {
          "description": "Optional. The confidence score of the tracked object.",
          "format": "float",
          "type": "number"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1_VideoSegment",
          "description": "Video segment of a track."
        },
        "timestampedObjects": {
          "description": "The object with timestamp and attributes per frame in the track.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_TimestampedObject"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1_VideoAnnotationProgress": {
      "description": "Annotation progress for a single video.",
      "id": "GoogleCloudVideointelligenceV1_VideoAnnotationProgress",
      "properties": {
        "feature": {
          "description": "Specifies which feature is being tracked if the request contains more than\none features.",
          "enum": [
            "FEATURE_UNSPECIFIED",
            "LABEL_DETECTION",
            "SHOT_CHANGE_DETECTION",
            "EXPLICIT_CONTENT_DETECTION",
            "SPEECH_TRANSCRIPTION",
            "TEXT_DETECTION",
            "OBJECT_TRACKING",
            "LOGO_RECOGNITION"
          ],
          "enumDescriptions": [
            "Unspecified.",
            "Label detection. Detect objects, such as dog or flower.",
            "Shot change detection.",
            "Explicit content detection.",
            "Speech transcription.",
            "OCR text detection and tracking.",
            "Object detection and tracking.",
            "Logo detection, tracking, and recognition."
          ],
          "type": "string"
        },
        "inputUri": {
          "description": "Video file location in\n[Cloud Storage](https://cloud.google.com/storage/).",
          "type": "string"
        },
        "progressPercent": {
          "description": "Approximate percentage processed thus far. Guaranteed to be\n100 when fully processed.",
          "format": "int32",
          "type": "integer"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1_VideoSegment",
          "description": "Specifies which segment is being tracked if the request contains more than\none segments."
        },
        "startTime": {
          "description": "Time when the request was received.",
          "format": "google-datetime",
          "type": "string"
        },
        "updateTime": {
          "description": "Time of the most recent update.",
          "format": "google-datetime",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1_VideoAnnotationResults": {
      "description": "Annotation results for a single video.",
      "id": "GoogleCloudVideointelligenceV1_VideoAnnotationResults",
      "properties": {
        "error": {
          "$ref": "GoogleRpc_Status",
          "description": "If set, indicates an error. Note that for a single `AnnotateVideoRequest`\nsome videos may succeed and some may fail."
        },
        "explicitAnnotation": {
          "$ref": "GoogleCloudVideointelligenceV1_ExplicitContentAnnotation",
          "description": "Explicit content annotation."
        },
        "frameLabelAnnotations": {
          "description": "Label annotations on frame level.\nThere is exactly one element for each unique label.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_LabelAnnotation"
          },
          "type": "array"
        },
        "inputUri": {
          "description": "Video file location in\n[Cloud Storage](https://cloud.google.com/storage/).",
          "type": "string"
        },
        "logoRecognitionAnnotations": {
          "description": "Annotations for list of logos detected, tracked and recognized in video.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_LogoRecognitionAnnotation"
          },
          "type": "array"
        },
        "objectAnnotations": {
          "description": "Annotations for list of objects detected and tracked in video.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_ObjectTrackingAnnotation"
          },
          "type": "array"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1_VideoSegment",
          "description": "Video segment on which the annotation is run."
        },
        "segmentLabelAnnotations": {
          "description": "Topical label annotations on video level or user specified segment level.\nThere is exactly one element for each unique label.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_LabelAnnotation"
          },
          "type": "array"
        },
        "segmentPresenceLabelAnnotations": {
          "description": "Presence label annotations on video level or user specified segment level.\nThere is exactly one element for each unique label. Compared to the\nexisting topical `segment_label_annotations`, this field presents more\nfine-grained, segment-level labels detected in video content and is made\navailable only when the client sets `LabelDetectionConfig.model` to\n\"builtin/latest\" in the request.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_LabelAnnotation"
          },
          "type": "array"
        },
        "shotAnnotations": {
          "description": "Shot annotations. Each shot is represented as a video segment.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_VideoSegment"
          },
          "type": "array"
        },
        "shotLabelAnnotations": {
          "description": "Topical label annotations on shot level.\nThere is exactly one element for each unique label.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_LabelAnnotation"
          },
          "type": "array"
        },
        "shotPresenceLabelAnnotations": {
          "description": "Presence label annotations on shot level. There is exactly one element for\neach unique label. Compared to the existing topical\n`shot_label_annotations`, this field presents more fine-grained, shot-level\nlabels detected in video content and is made available only when the client\nsets `LabelDetectionConfig.model` to \"builtin/latest\" in the request.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_LabelAnnotation"
          },
          "type": "array"
        },
        "speechTranscriptions": {
          "description": "Speech transcription.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_SpeechTranscription"
          },
          "type": "array"
        },
        "textAnnotations": {
          "description": "OCR text detection and tracking.\nAnnotations for list of detected text snippets. Each will have list of\nframe information associated with it.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1_TextAnnotation"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1_VideoSegment": {
      "description": "Video segment.",
      "id": "GoogleCloudVideointelligenceV1_VideoSegment",
      "properties": {
        "endTimeOffset": {
          "description": "Time-offset, relative to the beginning of the video,\ncorresponding to the end of the segment (inclusive).",
          "format": "google-duration",
          "type": "string"
        },
        "startTimeOffset": {
          "description": "Time-offset, relative to the beginning of the video,\ncorresponding to the start of the segment (inclusive).",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1_WordInfo": {
      "description": "Word-specific information for recognized words. Word information is only\nincluded in the response when certain request parameters are set, such\nas `enable_word_time_offsets`.",
      "id": "GoogleCloudVideointelligenceV1_WordInfo",
      "properties": {
        "confidence": {
          "description": "Output only. The confidence estimate between 0.0 and 1.0. A higher number\nindicates an estimated greater likelihood that the recognized words are\ncorrect. This field is set only for the top alternative.\nThis field is not guaranteed to be accurate and users should not rely on it\nto be always provided.\nThe default of 0.0 is a sentinel value indicating `confidence` was not set.",
          "format": "float",
          "type": "number"
        },
        "endTime": {
          "description": "Time offset relative to the beginning of the audio, and\ncorresponding to the end of the spoken word. This field is only set if\n`enable_word_time_offsets=true` and only in the top hypothesis. This is an\nexperimental feature and the accuracy of the time offset can vary.",
          "format": "google-duration",
          "type": "string"
        },
        "speakerTag": {
          "description": "Output only. A distinct integer value is assigned for every speaker within\nthe audio. This field specifies which one of those speakers was detected to\nhave spoken this word. Value ranges from 1 up to diarization_speaker_count,\nand is only set if speaker diarization is enabled.",
          "format": "int32",
          "type": "integer"
        },
        "startTime": {
          "description": "Time offset relative to the beginning of the audio, and\ncorresponding to the start of the spoken word. This field is only set if\n`enable_word_time_offsets=true` and only in the top hypothesis. This is an\nexperimental feature and the accuracy of the time offset can vary.",
          "format": "google-duration",
          "type": "string"
        },
        "word": {
          "description": "The word corresponding to this set of information.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_AnnotateVideoProgress": {
      "description": "Video annotation progress. Included in the `metadata`\nfield of the `Operation` returned by the `GetOperation`\ncall of the `google::longrunning::Operations` service.",
      "id": "GoogleCloudVideointelligenceV1beta2_AnnotateVideoProgress",
      "properties": {
        "annotationProgress": {
          "description": "Progress metadata for all videos specified in `AnnotateVideoRequest`.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_VideoAnnotationProgress"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_AnnotateVideoRequest": {
      "description": "Video annotation request.",
      "id": "GoogleCloudVideointelligenceV1beta2_AnnotateVideoRequest",
      "properties": {
        "features": {
          "description": "Required. Requested video annotation features.",
          "enumDescriptions": [
            "Unspecified.",
            "Label detection. Detect objects, such as dog or flower.",
            "Shot change detection.",
            "Explicit content detection.",
            "Speech transcription.",
            "OCR text detection and tracking.",
            "Object detection and tracking.",
            "Logo detection, tracking, and recognition."
          ],
          "items": {
            "enum": [
              "FEATURE_UNSPECIFIED",
              "LABEL_DETECTION",
              "SHOT_CHANGE_DETECTION",
              "EXPLICIT_CONTENT_DETECTION",
              "SPEECH_TRANSCRIPTION",
              "TEXT_DETECTION",
              "OBJECT_TRACKING",
              "LOGO_RECOGNITION"
            ],
            "type": "string"
          },
          "type": "array"
        },
        "inputContent": {
          "description": "The video data bytes.\nIf unset, the input video(s) should be specified via `input_uri`.\nIf set, `input_uri` should be unset.",
          "format": "byte",
          "type": "string"
        },
        "inputUri": {
          "description": "Input video location. Currently, only\n[Cloud Storage](https://cloud.google.com/storage/) URIs are\nsupported, which must be specified in the following format:\n`gs://bucket-id/object-id` (other URI formats return\ngoogle.rpc.Code.INVALID_ARGUMENT). For more information, see\n[Request URIs](https://cloud.google.com/storage/docs/request-endpoints).\nA video URI may include wildcards in `object-id`, and thus identify\nmultiple videos. Supported wildcards: '*' to match 0 or more characters;\n'?' to match 1 character. If unset, the input video should be embedded\nin the request as `input_content`. If set, `input_content` should be unset.",
          "type": "string"
        },
        "locationId": {
          "description": "Optional. Cloud region where annotation should take place. Supported cloud\nregions: `us-east1`, `us-west1`, `europe-west1`, `asia-east1`. If no region\nis specified, a region will be determined based on video file location.",
          "type": "string"
        },
        "outputUri": {
          "description": "Optional. Location where the output (in JSON format) should be stored.\nCurrently, only [Cloud Storage](https://cloud.google.com/storage/)\nURIs are supported, which must be specified in the following format:\n`gs://bucket-id/object-id` (other URI formats return\ngoogle.rpc.Code.INVALID_ARGUMENT). For more information, see\n[Request URIs](https://cloud.google.com/storage/docs/request-endpoints).",
          "type": "string"
        },
        "videoContext": {
          "$ref": "GoogleCloudVideointelligenceV1beta2_VideoContext",
          "description": "Additional video context and/or feature-specific parameters."
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_AnnotateVideoResponse": {
      "description": "Video annotation response. Included in the `response`\nfield of the `Operation` returned by the `GetOperation`\ncall of the `google::longrunning::Operations` service.",
      "id": "GoogleCloudVideointelligenceV1beta2_AnnotateVideoResponse",
      "properties": {
        "annotationResults": {
          "description": "Annotation results for all videos specified in `AnnotateVideoRequest`.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_VideoAnnotationResults"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_DetectedAttribute": {
      "description": "A generic detected attribute represented by name in string format.",
      "id": "GoogleCloudVideointelligenceV1beta2_DetectedAttribute",
      "properties": {
        "confidence": {
          "description": "Detected attribute confidence. Range [0, 1].",
          "format": "float",
          "type": "number"
        },
        "name": {
          "description": "The name of the attribute, i.e. glasses, dark_glasses, mouth_open etc.\nA full list of supported type names will be provided in the document.",
          "type": "string"
        },
        "value": {
          "description": "Text value of the detection result. For example, the value for \"HairColor\"\ncan be \"black\", \"blonde\", etc.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_DetectedLandmark": {
      "description": "A generic detected landmark represented by name in string format and a 2D\nlocation.",
      "id": "GoogleCloudVideointelligenceV1beta2_DetectedLandmark",
      "properties": {
        "confidence": {
          "description": "The confidence score of the detected landmark. Range [0, 1].",
          "format": "float",
          "type": "number"
        },
        "name": {
          "description": "The name of this landmark, i.e. left_hand, right_shoulder.",
          "type": "string"
        },
        "point": {
          "$ref": "GoogleCloudVideointelligenceV1beta2_NormalizedVertex",
          "description": "The 2D point of the detected landmark using the normalized image\ncoordindate system. The normalized coordinates have the range from 0 to 1."
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_Entity": {
      "description": "Detected entity from video analysis.",
      "id": "GoogleCloudVideointelligenceV1beta2_Entity",
      "properties": {
        "description": {
          "description": "Textual description, e.g. `Fixed-gear bicycle`.",
          "type": "string"
        },
        "entityId": {
          "description": "Opaque entity ID. Some IDs may be available in\n[Google Knowledge Graph Search\nAPI](https://developers.google.com/knowledge-graph/).",
          "type": "string"
        },
        "languageCode": {
          "description": "Language code for `description` in BCP-47 format.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_ExplicitContentAnnotation": {
      "description": "Explicit content annotation (based on per-frame visual signals only).\nIf no explicit content has been detected in a frame, no annotations are\npresent for that frame.",
      "id": "GoogleCloudVideointelligenceV1beta2_ExplicitContentAnnotation",
      "properties": {
        "frames": {
          "description": "All video frames where explicit content was detected.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_ExplicitContentFrame"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_ExplicitContentDetectionConfig": {
      "description": "Config for EXPLICIT_CONTENT_DETECTION.",
      "id": "GoogleCloudVideointelligenceV1beta2_ExplicitContentDetectionConfig",
      "properties": {
        "model": {
          "description": "Model to use for explicit content detection.\nSupported values: \"builtin/stable\" (the default if unset) and\n\"builtin/latest\".",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_ExplicitContentFrame": {
      "description": "Video frame level annotation results for explicit content.",
      "id": "GoogleCloudVideointelligenceV1beta2_ExplicitContentFrame",
      "properties": {
        "pornographyLikelihood": {
          "description": "Likelihood of the pornography content..",
          "enum": [
            "LIKELIHOOD_UNSPECIFIED",
            "VERY_UNLIKELY",
            "UNLIKELY",
            "POSSIBLE",
            "LIKELY",
            "VERY_LIKELY"
          ],
          "enumDescriptions": [
            "Unspecified likelihood.",
            "Very unlikely.",
            "Unlikely.",
            "Possible.",
            "Likely.",
            "Very likely."
          ],
          "type": "string"
        },
        "timeOffset": {
          "description": "Time-offset, relative to the beginning of the video, corresponding to the\nvideo frame for this location.",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_LabelAnnotation": {
      "description": "Label annotation.",
      "id": "GoogleCloudVideointelligenceV1beta2_LabelAnnotation",
      "properties": {
        "categoryEntities": {
          "description": "Common categories for the detected entity.\nE.g. when the label is `Terrier` the category is likely `dog`. And in some\ncases there might be more than one categories e.g. `Terrier` could also be\na `pet`.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_Entity"
          },
          "type": "array"
        },
        "entity": {
          "$ref": "GoogleCloudVideointelligenceV1beta2_Entity",
          "description": "Detected entity."
        },
        "frames": {
          "description": "All video frames where a label was detected.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_LabelFrame"
          },
          "type": "array"
        },
        "segments": {
          "description": "All video segments where a label was detected.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_LabelSegment"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_LabelDetectionConfig": {
      "description": "Config for LABEL_DETECTION.",
      "id": "GoogleCloudVideointelligenceV1beta2_LabelDetectionConfig",
      "properties": {
        "frameConfidenceThreshold": {
          "description": "The confidence threshold we perform filtering on the labels from\nframe-level detection. If not set, it is set to 0.4 by default. The valid\nrange for this threshold is [0.1, 0.9]. Any value set outside of this\nrange will be clipped.\nNote: for best results please follow the default threshold. We will update\nthe default threshold everytime when we release a new model.",
          "format": "float",
          "type": "number"
        },
        "labelDetectionMode": {
          "description": "What labels should be detected with LABEL_DETECTION, in addition to\nvideo-level labels or segment-level labels.\nIf unspecified, defaults to `SHOT_MODE`.",
          "enum": [
            "LABEL_DETECTION_MODE_UNSPECIFIED",
            "SHOT_MODE",
            "FRAME_MODE",
            "SHOT_AND_FRAME_MODE"
          ],
          "enumDescriptions": [
            "Unspecified.",
            "Detect shot-level labels.",
            "Detect frame-level labels.",
            "Detect both shot-level and frame-level labels."
          ],
          "type": "string"
        },
        "model": {
          "description": "Model to use for label detection.\nSupported values: \"builtin/stable\" (the default if unset) and\n\"builtin/latest\".",
          "type": "string"
        },
        "stationaryCamera": {
          "description": "Whether the video has been shot from a stationary (i.e. non-moving) camera.\nWhen set to true, might improve detection accuracy for moving objects.\nShould be used with `SHOT_AND_FRAME_MODE` enabled.",
          "type": "boolean"
        },
        "videoConfidenceThreshold": {
          "description": "The confidence threshold we perform filtering on the labels from\nvideo-level and shot-level detections. If not set, it is set to 0.3 by\ndefault. The valid range for this threshold is [0.1, 0.9]. Any value set\noutside of this range will be clipped.\nNote: for best results please follow the default threshold. We will update\nthe default threshold everytime when we release a new model.",
          "format": "float",
          "type": "number"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_LabelFrame": {
      "description": "Video frame level annotation results for label detection.",
      "id": "GoogleCloudVideointelligenceV1beta2_LabelFrame",
      "properties": {
        "confidence": {
          "description": "Confidence that the label is accurate. Range: [0, 1].",
          "format": "float",
          "type": "number"
        },
        "timeOffset": {
          "description": "Time-offset, relative to the beginning of the video, corresponding to the\nvideo frame for this location.",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_LabelSegment": {
      "description": "Video segment level annotation results for label detection.",
      "id": "GoogleCloudVideointelligenceV1beta2_LabelSegment",
      "properties": {
        "confidence": {
          "description": "Confidence that the label is accurate. Range: [0, 1].",
          "format": "float",
          "type": "number"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment",
          "description": "Video segment where a label was detected."
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_LogoRecognitionAnnotation": {
      "description": "Annotation corresponding to one detected, tracked and recognized logo class.",
      "id": "GoogleCloudVideointelligenceV1beta2_LogoRecognitionAnnotation",
      "properties": {
        "entity": {
          "$ref": "GoogleCloudVideointelligenceV1beta2_Entity",
          "description": "Entity category information to specify the logo class that all the logo\ntracks within this LogoRecognitionAnnotation are recognized as."
        },
        "segments": {
          "description": "All video segments where the recognized logo appears. There might be\nmultiple instances of the same logo class appearing in one VideoSegment.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment"
          },
          "type": "array"
        },
        "tracks": {
          "description": "All logo tracks where the recognized logo appears. Each track corresponds\nto one logo instance appearing in consecutive frames.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_Track"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_NormalizedBoundingBox": {
      "description": "Normalized bounding box.\nThe normalized vertex coordinates are relative to the original image.\nRange: [0, 1].",
      "id": "GoogleCloudVideointelligenceV1beta2_NormalizedBoundingBox",
      "properties": {
        "bottom": {
          "description": "Bottom Y coordinate.",
          "format": "float",
          "type": "number"
        },
        "left": {
          "description": "Left X coordinate.",
          "format": "float",
          "type": "number"
        },
        "right": {
          "description": "Right X coordinate.",
          "format": "float",
          "type": "number"
        },
        "top": {
          "description": "Top Y coordinate.",
          "format": "float",
          "type": "number"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_NormalizedBoundingPoly": {
      "description": "Normalized bounding polygon for text (that might not be aligned with axis).\nContains list of the corner points in clockwise order starting from\ntop-left corner. For example, for a rectangular bounding box:\nWhen the text is horizontal it might look like:\n        0----1\n        |    |\n        3----2\n\nWhen it's clockwise rotated 180 degrees around the top-left corner it\nbecomes:\n        2----3\n        |    |\n        1----0\n\nand the vertex order will still be (0, 1, 2, 3). Note that values can be less\nthan 0, or greater than 1 due to trignometric calculations for location of\nthe box.",
      "id": "GoogleCloudVideointelligenceV1beta2_NormalizedBoundingPoly",
      "properties": {
        "vertices": {
          "description": "Normalized vertices of the bounding polygon.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_NormalizedVertex"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_NormalizedVertex": {
      "description": "A vertex represents a 2D point in the image.\nNOTE: the normalized vertex coordinates are relative to the original image\nand range from 0 to 1.",
      "id": "GoogleCloudVideointelligenceV1beta2_NormalizedVertex",
      "properties": {
        "x": {
          "description": "X coordinate.",
          "format": "float",
          "type": "number"
        },
        "y": {
          "description": "Y coordinate.",
          "format": "float",
          "type": "number"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_ObjectTrackingAnnotation": {
      "description": "Annotations corresponding to one tracked object.",
      "id": "GoogleCloudVideointelligenceV1beta2_ObjectTrackingAnnotation",
      "properties": {
        "confidence": {
          "description": "Object category's labeling confidence of this track.",
          "format": "float",
          "type": "number"
        },
        "entity": {
          "$ref": "GoogleCloudVideointelligenceV1beta2_Entity",
          "description": "Entity to specify the object category that this track is labeled as."
        },
        "frames": {
          "description": "Information corresponding to all frames where this object track appears.\nNon-streaming batch mode: it may be one or multiple ObjectTrackingFrame\nmessages in frames.\nStreaming mode: it can only be one ObjectTrackingFrame message in frames.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_ObjectTrackingFrame"
          },
          "type": "array"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment",
          "description": "Non-streaming batch mode ONLY.\nEach object track corresponds to one video segment where it appears."
        },
        "trackId": {
          "description": "Streaming mode ONLY.\nIn streaming mode, we do not know the end time of a tracked object\nbefore it is completed. Hence, there is no VideoSegment info returned.\nInstead, we provide a unique identifiable integer track_id so that\nthe customers can correlate the results of the ongoing\nObjectTrackAnnotation of the same track_id over time.",
          "format": "int64",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_ObjectTrackingConfig": {
      "description": "Config for OBJECT_TRACKING.",
      "id": "GoogleCloudVideointelligenceV1beta2_ObjectTrackingConfig",
      "properties": {
        "model": {
          "description": "Model to use for object tracking.\nSupported values: \"builtin/stable\" (the default if unset) and\n\"builtin/latest\".",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_ObjectTrackingFrame": {
      "description": "Video frame level annotations for object detection and tracking. This field\nstores per frame location, time offset, and confidence.",
      "id": "GoogleCloudVideointelligenceV1beta2_ObjectTrackingFrame",
      "properties": {
        "normalizedBoundingBox": {
          "$ref": "GoogleCloudVideointelligenceV1beta2_NormalizedBoundingBox",
          "description": "The normalized bounding box location of this object track for the frame."
        },
        "timeOffset": {
          "description": "The timestamp of the frame in microseconds.",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_ShotChangeDetectionConfig": {
      "description": "Config for SHOT_CHANGE_DETECTION.",
      "id": "GoogleCloudVideointelligenceV1beta2_ShotChangeDetectionConfig",
      "properties": {
        "model": {
          "description": "Model to use for shot change detection.\nSupported values: \"builtin/stable\" (the default if unset) and\n\"builtin/latest\".",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_SpeechContext": {
      "description": "Provides \"hints\" to the speech recognizer to favor specific words and phrases\nin the results.",
      "id": "GoogleCloudVideointelligenceV1beta2_SpeechContext",
      "properties": {
        "phrases": {
          "description": "Optional. A list of strings containing words and phrases \"hints\" so that\nthe speech recognition is more likely to recognize them. This can be used\nto improve the accuracy for specific words and phrases, for example, if\nspecific commands are typically spoken by the user. This can also be used\nto add additional words to the vocabulary of the recognizer. See\n[usage limits](https://cloud.google.com/speech/limits#content).",
          "items": {
            "type": "string"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_SpeechRecognitionAlternative": {
      "description": "Alternative hypotheses (a.k.a. n-best list).",
      "id": "GoogleCloudVideointelligenceV1beta2_SpeechRecognitionAlternative",
      "properties": {
        "confidence": {
          "description": "Output only. The confidence estimate between 0.0 and 1.0. A higher number\nindicates an estimated greater likelihood that the recognized words are\ncorrect. This field is set only for the top alternative.\nThis field is not guaranteed to be accurate and users should not rely on it\nto be always provided.\nThe default of 0.0 is a sentinel value indicating `confidence` was not set.",
          "format": "float",
          "type": "number"
        },
        "transcript": {
          "description": "Transcript text representing the words that the user spoke.",
          "type": "string"
        },
        "words": {
          "description": "Output only. A list of word-specific information for each recognized word.\nNote: When `enable_speaker_diarization` is true, you will see all the words\nfrom the beginning of the audio.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_WordInfo"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_SpeechTranscription": {
      "description": "A speech recognition result corresponding to a portion of the audio.",
      "id": "GoogleCloudVideointelligenceV1beta2_SpeechTranscription",
      "properties": {
        "alternatives": {
          "description": "May contain one or more recognition hypotheses (up to the maximum specified\nin `max_alternatives`).  These alternatives are ordered in terms of\naccuracy, with the top (first) alternative being the most probable, as\nranked by the recognizer.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_SpeechRecognitionAlternative"
          },
          "type": "array"
        },
        "languageCode": {
          "description": "Output only. The [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag of\nthe language in this result. This language code was detected to have the\nmost likelihood of being spoken in the audio.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_SpeechTranscriptionConfig": {
      "description": "Config for SPEECH_TRANSCRIPTION.",
      "id": "GoogleCloudVideointelligenceV1beta2_SpeechTranscriptionConfig",
      "properties": {
        "audioTracks": {
          "description": "Optional. For file formats, such as MXF or MKV, supporting multiple audio\ntracks, specify up to two tracks. Default: track 0.",
          "items": {
            "format": "int32",
            "type": "integer"
          },
          "type": "array"
        },
        "diarizationSpeakerCount": {
          "description": "Optional. If set, specifies the estimated number of speakers in the conversation.\nIf not set, defaults to '2'.\nIgnored unless enable_speaker_diarization is set to true.",
          "format": "int32",
          "type": "integer"
        },
        "enableAutomaticPunctuation": {
          "description": "Optional. If 'true', adds punctuation to recognition result hypotheses.\nThis feature is only available in select languages. Setting this for\nrequests in other languages has no effect at all. The default 'false' value\ndoes not add punctuation to result hypotheses. NOTE: \"This is currently\noffered as an experimental service, complimentary to all users. In the\nfuture this may be exclusively available as a premium feature.\"",
          "type": "boolean"
        },
        "enableSpeakerDiarization": {
          "description": "Optional. If 'true', enables speaker detection for each recognized word in\nthe top alternative of the recognition result using a speaker_tag provided\nin the WordInfo.\nNote: When this is true, we send all the words from the beginning of the\naudio for the top alternative in every consecutive responses.\nThis is done in order to improve our speaker tags as our models learn to\nidentify the speakers in the conversation over time.",
          "type": "boolean"
        },
        "enableWordConfidence": {
          "description": "Optional. If `true`, the top result includes a list of words and the\nconfidence for those words. If `false`, no word-level confidence\ninformation is returned. The default is `false`.",
          "type": "boolean"
        },
        "filterProfanity": {
          "description": "Optional. If set to `true`, the server will attempt to filter out\nprofanities, replacing all but the initial character in each filtered word\nwith asterisks, e.g. \"f***\". If set to `false` or omitted, profanities\nwon't be filtered out.",
          "type": "boolean"
        },
        "languageCode": {
          "description": "Required. *Required* The language of the supplied audio as a\n[BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag.\nExample: \"en-US\".\nSee [Language Support](https://cloud.google.com/speech/docs/languages)\nfor a list of the currently supported language codes.",
          "type": "string"
        },
        "maxAlternatives": {
          "description": "Optional. Maximum number of recognition hypotheses to be returned.\nSpecifically, the maximum number of `SpeechRecognitionAlternative` messages\nwithin each `SpeechTranscription`. The server may return fewer than\n`max_alternatives`. Valid values are `0`-`30`. A value of `0` or `1` will\nreturn a maximum of one. If omitted, will return a maximum of one.",
          "format": "int32",
          "type": "integer"
        },
        "speechContexts": {
          "description": "Optional. A means to provide context to assist the speech recognition.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_SpeechContext"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_TextAnnotation": {
      "description": "Annotations related to one detected OCR text snippet. This will contain the\ncorresponding text, confidence value, and frame level information for each\ndetection.",
      "id": "GoogleCloudVideointelligenceV1beta2_TextAnnotation",
      "properties": {
        "segments": {
          "description": "All video segments where OCR detected text appears.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_TextSegment"
          },
          "type": "array"
        },
        "text": {
          "description": "The detected text.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_TextDetectionConfig": {
      "description": "Config for TEXT_DETECTION.",
      "id": "GoogleCloudVideointelligenceV1beta2_TextDetectionConfig",
      "properties": {
        "languageHints": {
          "description": "Language hint can be specified if the language to be detected is known a\npriori. It can increase the accuracy of the detection. Language hint must\nbe language code in BCP-47 format.\n\nAutomatic language detection is performed if no hint is provided.",
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        "model": {
          "description": "Model to use for text detection.\nSupported values: \"builtin/stable\" (the default if unset) and\n\"builtin/latest\".",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_TextFrame": {
      "description": "Video frame level annotation results for text annotation (OCR).\nContains information regarding timestamp and bounding box locations for the\nframes containing detected OCR text snippets.",
      "id": "GoogleCloudVideointelligenceV1beta2_TextFrame",
      "properties": {
        "rotatedBoundingBox": {
          "$ref": "GoogleCloudVideointelligenceV1beta2_NormalizedBoundingPoly",
          "description": "Bounding polygon of the detected text for this frame."
        },
        "timeOffset": {
          "description": "Timestamp of this frame.",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_TextSegment": {
      "description": "Video segment level annotation results for text detection.",
      "id": "GoogleCloudVideointelligenceV1beta2_TextSegment",
      "properties": {
        "confidence": {
          "description": "Confidence for the track of detected text. It is calculated as the highest\nover all frames where OCR detected text appears.",
          "format": "float",
          "type": "number"
        },
        "frames": {
          "description": "Information related to the frames where OCR detected text appears.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_TextFrame"
          },
          "type": "array"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment",
          "description": "Video segment where a text snippet was detected."
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_TimestampedObject": {
      "description": "For tracking related features.\nAn object at time_offset with attributes, and located with\nnormalized_bounding_box.",
      "id": "GoogleCloudVideointelligenceV1beta2_TimestampedObject",
      "properties": {
        "attributes": {
          "description": "Optional. The attributes of the object in the bounding box.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_DetectedAttribute"
          },
          "type": "array"
        },
        "landmarks": {
          "description": "Optional. The detected landmarks.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_DetectedLandmark"
          },
          "type": "array"
        },
        "normalizedBoundingBox": {
          "$ref": "GoogleCloudVideointelligenceV1beta2_NormalizedBoundingBox",
          "description": "Normalized Bounding box in a frame, where the object is located."
        },
        "timeOffset": {
          "description": "Time-offset, relative to the beginning of the video,\ncorresponding to the video frame for this object.",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_Track": {
      "description": "A track of an object instance.",
      "id": "GoogleCloudVideointelligenceV1beta2_Track",
      "properties": {
        "attributes": {
          "description": "Optional. Attributes in the track level.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_DetectedAttribute"
          },
          "type": "array"
        },
        "confidence": {
          "description": "Optional. The confidence score of the tracked object.",
          "format": "float",
          "type": "number"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment",
          "description": "Video segment of a track."
        },
        "timestampedObjects": {
          "description": "The object with timestamp and attributes per frame in the track.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_TimestampedObject"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_VideoAnnotationProgress": {
      "description": "Annotation progress for a single video.",
      "id": "GoogleCloudVideointelligenceV1beta2_VideoAnnotationProgress",
      "properties": {
        "feature": {
          "description": "Specifies which feature is being tracked if the request contains more than\none features.",
          "enum": [
            "FEATURE_UNSPECIFIED",
            "LABEL_DETECTION",
            "SHOT_CHANGE_DETECTION",
            "EXPLICIT_CONTENT_DETECTION",
            "SPEECH_TRANSCRIPTION",
            "TEXT_DETECTION",
            "OBJECT_TRACKING",
            "LOGO_RECOGNITION"
          ],
          "enumDescriptions": [
            "Unspecified.",
            "Label detection. Detect objects, such as dog or flower.",
            "Shot change detection.",
            "Explicit content detection.",
            "Speech transcription.",
            "OCR text detection and tracking.",
            "Object detection and tracking.",
            "Logo detection, tracking, and recognition."
          ],
          "type": "string"
        },
        "inputUri": {
          "description": "Video file location in\n[Cloud Storage](https://cloud.google.com/storage/).",
          "type": "string"
        },
        "progressPercent": {
          "description": "Approximate percentage processed thus far. Guaranteed to be\n100 when fully processed.",
          "format": "int32",
          "type": "integer"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment",
          "description": "Specifies which segment is being tracked if the request contains more than\none segments."
        },
        "startTime": {
          "description": "Time when the request was received.",
          "format": "google-datetime",
          "type": "string"
        },
        "updateTime": {
          "description": "Time of the most recent update.",
          "format": "google-datetime",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_VideoAnnotationResults": {
      "description": "Annotation results for a single video.",
      "id": "GoogleCloudVideointelligenceV1beta2_VideoAnnotationResults",
      "properties": {
        "error": {
          "$ref": "GoogleRpc_Status",
          "description": "If set, indicates an error. Note that for a single `AnnotateVideoRequest`\nsome videos may succeed and some may fail."
        },
        "explicitAnnotation": {
          "$ref": "GoogleCloudVideointelligenceV1beta2_ExplicitContentAnnotation",
          "description": "Explicit content annotation."
        },
        "frameLabelAnnotations": {
          "description": "Label annotations on frame level.\nThere is exactly one element for each unique label.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_LabelAnnotation"
          },
          "type": "array"
        },
        "inputUri": {
          "description": "Video file location in\n[Cloud Storage](https://cloud.google.com/storage/).",
          "type": "string"
        },
        "logoRecognitionAnnotations": {
          "description": "Annotations for list of logos detected, tracked and recognized in video.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_LogoRecognitionAnnotation"
          },
          "type": "array"
        },
        "objectAnnotations": {
          "description": "Annotations for list of objects detected and tracked in video.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_ObjectTrackingAnnotation"
          },
          "type": "array"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment",
          "description": "Video segment on which the annotation is run."
        },
        "segmentLabelAnnotations": {
          "description": "Topical label annotations on video level or user specified segment level.\nThere is exactly one element for each unique label.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_LabelAnnotation"
          },
          "type": "array"
        },
        "segmentPresenceLabelAnnotations": {
          "description": "Presence label annotations on video level or user specified segment level.\nThere is exactly one element for each unique label. Compared to the\nexisting topical `segment_label_annotations`, this field presents more\nfine-grained, segment-level labels detected in video content and is made\navailable only when the client sets `LabelDetectionConfig.model` to\n\"builtin/latest\" in the request.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_LabelAnnotation"
          },
          "type": "array"
        },
        "shotAnnotations": {
          "description": "Shot annotations. Each shot is represented as a video segment.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment"
          },
          "type": "array"
        },
        "shotLabelAnnotations": {
          "description": "Topical label annotations on shot level.\nThere is exactly one element for each unique label.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_LabelAnnotation"
          },
          "type": "array"
        },
        "shotPresenceLabelAnnotations": {
          "description": "Presence label annotations on shot level. There is exactly one element for\neach unique label. Compared to the existing topical\n`shot_label_annotations`, this field presents more fine-grained, shot-level\nlabels detected in video content and is made available only when the client\nsets `LabelDetectionConfig.model` to \"builtin/latest\" in the request.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_LabelAnnotation"
          },
          "type": "array"
        },
        "speechTranscriptions": {
          "description": "Speech transcription.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_SpeechTranscription"
          },
          "type": "array"
        },
        "textAnnotations": {
          "description": "OCR text detection and tracking.\nAnnotations for list of detected text snippets. Each will have list of\nframe information associated with it.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_TextAnnotation"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_VideoContext": {
      "description": "Video context and/or feature-specific parameters.",
      "id": "GoogleCloudVideointelligenceV1beta2_VideoContext",
      "properties": {
        "explicitContentDetectionConfig": {
          "$ref": "GoogleCloudVideointelligenceV1beta2_ExplicitContentDetectionConfig",
          "description": "Config for EXPLICIT_CONTENT_DETECTION."
        },
        "labelDetectionConfig": {
          "$ref": "GoogleCloudVideointelligenceV1beta2_LabelDetectionConfig",
          "description": "Config for LABEL_DETECTION."
        },
        "objectTrackingConfig": {
          "$ref": "GoogleCloudVideointelligenceV1beta2_ObjectTrackingConfig",
          "description": "Config for OBJECT_TRACKING."
        },
        "segments": {
          "description": "Video segments to annotate. The segments may overlap and are not required\nto be contiguous or span the whole video. If unspecified, each video is\ntreated as a single segment.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment"
          },
          "type": "array"
        },
        "shotChangeDetectionConfig": {
          "$ref": "GoogleCloudVideointelligenceV1beta2_ShotChangeDetectionConfig",
          "description": "Config for SHOT_CHANGE_DETECTION."
        },
        "speechTranscriptionConfig": {
          "$ref": "GoogleCloudVideointelligenceV1beta2_SpeechTranscriptionConfig",
          "description": "Config for SPEECH_TRANSCRIPTION."
        },
        "textDetectionConfig": {
          "$ref": "GoogleCloudVideointelligenceV1beta2_TextDetectionConfig",
          "description": "Config for TEXT_DETECTION."
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_VideoSegment": {
      "description": "Video segment.",
      "id": "GoogleCloudVideointelligenceV1beta2_VideoSegment",
      "properties": {
        "endTimeOffset": {
          "description": "Time-offset, relative to the beginning of the video,\ncorresponding to the end of the segment (inclusive).",
          "format": "google-duration",
          "type": "string"
        },
        "startTimeOffset": {
          "description": "Time-offset, relative to the beginning of the video,\ncorresponding to the start of the segment (inclusive).",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1beta2_WordInfo": {
      "description": "Word-specific information for recognized words. Word information is only\nincluded in the response when certain request parameters are set, such\nas `enable_word_time_offsets`.",
      "id": "GoogleCloudVideointelligenceV1beta2_WordInfo",
      "properties": {
        "confidence": {
          "description": "Output only. The confidence estimate between 0.0 and 1.0. A higher number\nindicates an estimated greater likelihood that the recognized words are\ncorrect. This field is set only for the top alternative.\nThis field is not guaranteed to be accurate and users should not rely on it\nto be always provided.\nThe default of 0.0 is a sentinel value indicating `confidence` was not set.",
          "format": "float",
          "type": "number"
        },
        "endTime": {
          "description": "Time offset relative to the beginning of the audio, and\ncorresponding to the end of the spoken word. This field is only set if\n`enable_word_time_offsets=true` and only in the top hypothesis. This is an\nexperimental feature and the accuracy of the time offset can vary.",
          "format": "google-duration",
          "type": "string"
        },
        "speakerTag": {
          "description": "Output only. A distinct integer value is assigned for every speaker within\nthe audio. This field specifies which one of those speakers was detected to\nhave spoken this word. Value ranges from 1 up to diarization_speaker_count,\nand is only set if speaker diarization is enabled.",
          "format": "int32",
          "type": "integer"
        },
        "startTime": {
          "description": "Time offset relative to the beginning of the audio, and\ncorresponding to the start of the spoken word. This field is only set if\n`enable_word_time_offsets=true` and only in the top hypothesis. This is an\nexperimental feature and the accuracy of the time offset can vary.",
          "format": "google-duration",
          "type": "string"
        },
        "word": {
          "description": "The word corresponding to this set of information.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_AnnotateVideoProgress": {
      "description": "Video annotation progress. Included in the `metadata`\nfield of the `Operation` returned by the `GetOperation`\ncall of the `google::longrunning::Operations` service.",
      "id": "GoogleCloudVideointelligenceV1p1beta1_AnnotateVideoProgress",
      "properties": {
        "annotationProgress": {
          "description": "Progress metadata for all videos specified in `AnnotateVideoRequest`.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoAnnotationProgress"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_AnnotateVideoResponse": {
      "description": "Video annotation response. Included in the `response`\nfield of the `Operation` returned by the `GetOperation`\ncall of the `google::longrunning::Operations` service.",
      "id": "GoogleCloudVideointelligenceV1p1beta1_AnnotateVideoResponse",
      "properties": {
        "annotationResults": {
          "description": "Annotation results for all videos specified in `AnnotateVideoRequest`.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoAnnotationResults"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_DetectedAttribute": {
      "description": "A generic detected attribute represented by name in string format.",
      "id": "GoogleCloudVideointelligenceV1p1beta1_DetectedAttribute",
      "properties": {
        "confidence": {
          "description": "Detected attribute confidence. Range [0, 1].",
          "format": "float",
          "type": "number"
        },
        "name": {
          "description": "The name of the attribute, i.e. glasses, dark_glasses, mouth_open etc.\nA full list of supported type names will be provided in the document.",
          "type": "string"
        },
        "value": {
          "description": "Text value of the detection result. For example, the value for \"HairColor\"\ncan be \"black\", \"blonde\", etc.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_DetectedLandmark": {
      "description": "A generic detected landmark represented by name in string format and a 2D\nlocation.",
      "id": "GoogleCloudVideointelligenceV1p1beta1_DetectedLandmark",
      "properties": {
        "confidence": {
          "description": "The confidence score of the detected landmark. Range [0, 1].",
          "format": "float",
          "type": "number"
        },
        "name": {
          "description": "The name of this landmark, i.e. left_hand, right_shoulder.",
          "type": "string"
        },
        "point": {
          "$ref": "GoogleCloudVideointelligenceV1p1beta1_NormalizedVertex",
          "description": "The 2D point of the detected landmark using the normalized image\ncoordindate system. The normalized coordinates have the range from 0 to 1."
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_Entity": {
      "description": "Detected entity from video analysis.",
      "id": "GoogleCloudVideointelligenceV1p1beta1_Entity",
      "properties": {
        "description": {
          "description": "Textual description, e.g. `Fixed-gear bicycle`.",
          "type": "string"
        },
        "entityId": {
          "description": "Opaque entity ID. Some IDs may be available in\n[Google Knowledge Graph Search\nAPI](https://developers.google.com/knowledge-graph/).",
          "type": "string"
        },
        "languageCode": {
          "description": "Language code for `description` in BCP-47 format.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_ExplicitContentAnnotation": {
      "description": "Explicit content annotation (based on per-frame visual signals only).\nIf no explicit content has been detected in a frame, no annotations are\npresent for that frame.",
      "id": "GoogleCloudVideointelligenceV1p1beta1_ExplicitContentAnnotation",
      "properties": {
        "frames": {
          "description": "All video frames where explicit content was detected.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_ExplicitContentFrame"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_ExplicitContentFrame": {
      "description": "Video frame level annotation results for explicit content.",
      "id": "GoogleCloudVideointelligenceV1p1beta1_ExplicitContentFrame",
      "properties": {
        "pornographyLikelihood": {
          "description": "Likelihood of the pornography content..",
          "enum": [
            "LIKELIHOOD_UNSPECIFIED",
            "VERY_UNLIKELY",
            "UNLIKELY",
            "POSSIBLE",
            "LIKELY",
            "VERY_LIKELY"
          ],
          "enumDescriptions": [
            "Unspecified likelihood.",
            "Very unlikely.",
            "Unlikely.",
            "Possible.",
            "Likely.",
            "Very likely."
          ],
          "type": "string"
        },
        "timeOffset": {
          "description": "Time-offset, relative to the beginning of the video, corresponding to the\nvideo frame for this location.",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_LabelAnnotation": {
      "description": "Label annotation.",
      "id": "GoogleCloudVideointelligenceV1p1beta1_LabelAnnotation",
      "properties": {
        "categoryEntities": {
          "description": "Common categories for the detected entity.\nE.g. when the label is `Terrier` the category is likely `dog`. And in some\ncases there might be more than one categories e.g. `Terrier` could also be\na `pet`.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_Entity"
          },
          "type": "array"
        },
        "entity": {
          "$ref": "GoogleCloudVideointelligenceV1p1beta1_Entity",
          "description": "Detected entity."
        },
        "frames": {
          "description": "All video frames where a label was detected.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_LabelFrame"
          },
          "type": "array"
        },
        "segments": {
          "description": "All video segments where a label was detected.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_LabelSegment"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_LabelFrame": {
      "description": "Video frame level annotation results for label detection.",
      "id": "GoogleCloudVideointelligenceV1p1beta1_LabelFrame",
      "properties": {
        "confidence": {
          "description": "Confidence that the label is accurate. Range: [0, 1].",
          "format": "float",
          "type": "number"
        },
        "timeOffset": {
          "description": "Time-offset, relative to the beginning of the video, corresponding to the\nvideo frame for this location.",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_LabelSegment": {
      "description": "Video segment level annotation results for label detection.",
      "id": "GoogleCloudVideointelligenceV1p1beta1_LabelSegment",
      "properties": {
        "confidence": {
          "description": "Confidence that the label is accurate. Range: [0, 1].",
          "format": "float",
          "type": "number"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment",
          "description": "Video segment where a label was detected."
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_LogoRecognitionAnnotation": {
      "description": "Annotation corresponding to one detected, tracked and recognized logo class.",
      "id": "GoogleCloudVideointelligenceV1p1beta1_LogoRecognitionAnnotation",
      "properties": {
        "entity": {
          "$ref": "GoogleCloudVideointelligenceV1p1beta1_Entity",
          "description": "Entity category information to specify the logo class that all the logo\ntracks within this LogoRecognitionAnnotation are recognized as."
        },
        "segments": {
          "description": "All video segments where the recognized logo appears. There might be\nmultiple instances of the same logo class appearing in one VideoSegment.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment"
          },
          "type": "array"
        },
        "tracks": {
          "description": "All logo tracks where the recognized logo appears. Each track corresponds\nto one logo instance appearing in consecutive frames.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_Track"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_NormalizedBoundingBox": {
      "description": "Normalized bounding box.\nThe normalized vertex coordinates are relative to the original image.\nRange: [0, 1].",
      "id": "GoogleCloudVideointelligenceV1p1beta1_NormalizedBoundingBox",
      "properties": {
        "bottom": {
          "description": "Bottom Y coordinate.",
          "format": "float",
          "type": "number"
        },
        "left": {
          "description": "Left X coordinate.",
          "format": "float",
          "type": "number"
        },
        "right": {
          "description": "Right X coordinate.",
          "format": "float",
          "type": "number"
        },
        "top": {
          "description": "Top Y coordinate.",
          "format": "float",
          "type": "number"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_NormalizedBoundingPoly": {
      "description": "Normalized bounding polygon for text (that might not be aligned with axis).\nContains list of the corner points in clockwise order starting from\ntop-left corner. For example, for a rectangular bounding box:\nWhen the text is horizontal it might look like:\n        0----1\n        |    |\n        3----2\n\nWhen it's clockwise rotated 180 degrees around the top-left corner it\nbecomes:\n        2----3\n        |    |\n        1----0\n\nand the vertex order will still be (0, 1, 2, 3). Note that values can be less\nthan 0, or greater than 1 due to trignometric calculations for location of\nthe box.",
      "id": "GoogleCloudVideointelligenceV1p1beta1_NormalizedBoundingPoly",
      "properties": {
        "vertices": {
          "description": "Normalized vertices of the bounding polygon.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_NormalizedVertex"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_NormalizedVertex": {
      "description": "A vertex represents a 2D point in the image.\nNOTE: the normalized vertex coordinates are relative to the original image\nand range from 0 to 1.",
      "id": "GoogleCloudVideointelligenceV1p1beta1_NormalizedVertex",
      "properties": {
        "x": {
          "description": "X coordinate.",
          "format": "float",
          "type": "number"
        },
        "y": {
          "description": "Y coordinate.",
          "format": "float",
          "type": "number"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_ObjectTrackingAnnotation": {
      "description": "Annotations corresponding to one tracked object.",
      "id": "GoogleCloudVideointelligenceV1p1beta1_ObjectTrackingAnnotation",
      "properties": {
        "confidence": {
          "description": "Object category's labeling confidence of this track.",
          "format": "float",
          "type": "number"
        },
        "entity": {
          "$ref": "GoogleCloudVideointelligenceV1p1beta1_Entity",
          "description": "Entity to specify the object category that this track is labeled as."
        },
        "frames": {
          "description": "Information corresponding to all frames where this object track appears.\nNon-streaming batch mode: it may be one or multiple ObjectTrackingFrame\nmessages in frames.\nStreaming mode: it can only be one ObjectTrackingFrame message in frames.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_ObjectTrackingFrame"
          },
          "type": "array"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment",
          "description": "Non-streaming batch mode ONLY.\nEach object track corresponds to one video segment where it appears."
        },
        "trackId": {
          "description": "Streaming mode ONLY.\nIn streaming mode, we do not know the end time of a tracked object\nbefore it is completed. Hence, there is no VideoSegment info returned.\nInstead, we provide a unique identifiable integer track_id so that\nthe customers can correlate the results of the ongoing\nObjectTrackAnnotation of the same track_id over time.",
          "format": "int64",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_ObjectTrackingFrame": {
      "description": "Video frame level annotations for object detection and tracking. This field\nstores per frame location, time offset, and confidence.",
      "id": "GoogleCloudVideointelligenceV1p1beta1_ObjectTrackingFrame",
      "properties": {
        "normalizedBoundingBox": {
          "$ref": "GoogleCloudVideointelligenceV1p1beta1_NormalizedBoundingBox",
          "description": "The normalized bounding box location of this object track for the frame."
        },
        "timeOffset": {
          "description": "The timestamp of the frame in microseconds.",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_SpeechRecognitionAlternative": {
      "description": "Alternative hypotheses (a.k.a. n-best list).",
      "id": "GoogleCloudVideointelligenceV1p1beta1_SpeechRecognitionAlternative",
      "properties": {
        "confidence": {
          "description": "Output only. The confidence estimate between 0.0 and 1.0. A higher number\nindicates an estimated greater likelihood that the recognized words are\ncorrect. This field is set only for the top alternative.\nThis field is not guaranteed to be accurate and users should not rely on it\nto be always provided.\nThe default of 0.0 is a sentinel value indicating `confidence` was not set.",
          "format": "float",
          "type": "number"
        },
        "transcript": {
          "description": "Transcript text representing the words that the user spoke.",
          "type": "string"
        },
        "words": {
          "description": "Output only. A list of word-specific information for each recognized word.\nNote: When `enable_speaker_diarization` is true, you will see all the words\nfrom the beginning of the audio.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_WordInfo"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_SpeechTranscription": {
      "description": "A speech recognition result corresponding to a portion of the audio.",
      "id": "GoogleCloudVideointelligenceV1p1beta1_SpeechTranscription",
      "properties": {
        "alternatives": {
          "description": "May contain one or more recognition hypotheses (up to the maximum specified\nin `max_alternatives`).  These alternatives are ordered in terms of\naccuracy, with the top (first) alternative being the most probable, as\nranked by the recognizer.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_SpeechRecognitionAlternative"
          },
          "type": "array"
        },
        "languageCode": {
          "description": "Output only. The [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag of\nthe language in this result. This language code was detected to have the\nmost likelihood of being spoken in the audio.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_TextAnnotation": {
      "description": "Annotations related to one detected OCR text snippet. This will contain the\ncorresponding text, confidence value, and frame level information for each\ndetection.",
      "id": "GoogleCloudVideointelligenceV1p1beta1_TextAnnotation",
      "properties": {
        "segments": {
          "description": "All video segments where OCR detected text appears.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_TextSegment"
          },
          "type": "array"
        },
        "text": {
          "description": "The detected text.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_TextFrame": {
      "description": "Video frame level annotation results for text annotation (OCR).\nContains information regarding timestamp and bounding box locations for the\nframes containing detected OCR text snippets.",
      "id": "GoogleCloudVideointelligenceV1p1beta1_TextFrame",
      "properties": {
        "rotatedBoundingBox": {
          "$ref": "GoogleCloudVideointelligenceV1p1beta1_NormalizedBoundingPoly",
          "description": "Bounding polygon of the detected text for this frame."
        },
        "timeOffset": {
          "description": "Timestamp of this frame.",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_TextSegment": {
      "description": "Video segment level annotation results for text detection.",
      "id": "GoogleCloudVideointelligenceV1p1beta1_TextSegment",
      "properties": {
        "confidence": {
          "description": "Confidence for the track of detected text. It is calculated as the highest\nover all frames where OCR detected text appears.",
          "format": "float",
          "type": "number"
        },
        "frames": {
          "description": "Information related to the frames where OCR detected text appears.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_TextFrame"
          },
          "type": "array"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment",
          "description": "Video segment where a text snippet was detected."
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_TimestampedObject": {
      "description": "For tracking related features.\nAn object at time_offset with attributes, and located with\nnormalized_bounding_box.",
      "id": "GoogleCloudVideointelligenceV1p1beta1_TimestampedObject",
      "properties": {
        "attributes": {
          "description": "Optional. The attributes of the object in the bounding box.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_DetectedAttribute"
          },
          "type": "array"
        },
        "landmarks": {
          "description": "Optional. The detected landmarks.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_DetectedLandmark"
          },
          "type": "array"
        },
        "normalizedBoundingBox": {
          "$ref": "GoogleCloudVideointelligenceV1p1beta1_NormalizedBoundingBox",
          "description": "Normalized Bounding box in a frame, where the object is located."
        },
        "timeOffset": {
          "description": "Time-offset, relative to the beginning of the video,\ncorresponding to the video frame for this object.",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_Track": {
      "description": "A track of an object instance.",
      "id": "GoogleCloudVideointelligenceV1p1beta1_Track",
      "properties": {
        "attributes": {
          "description": "Optional. Attributes in the track level.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_DetectedAttribute"
          },
          "type": "array"
        },
        "confidence": {
          "description": "Optional. The confidence score of the tracked object.",
          "format": "float",
          "type": "number"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment",
          "description": "Video segment of a track."
        },
        "timestampedObjects": {
          "description": "The object with timestamp and attributes per frame in the track.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_TimestampedObject"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_VideoAnnotationProgress": {
      "description": "Annotation progress for a single video.",
      "id": "GoogleCloudVideointelligenceV1p1beta1_VideoAnnotationProgress",
      "properties": {
        "feature": {
          "description": "Specifies which feature is being tracked if the request contains more than\none features.",
          "enum": [
            "FEATURE_UNSPECIFIED",
            "LABEL_DETECTION",
            "SHOT_CHANGE_DETECTION",
            "EXPLICIT_CONTENT_DETECTION",
            "SPEECH_TRANSCRIPTION",
            "TEXT_DETECTION",
            "OBJECT_TRACKING",
            "LOGO_RECOGNITION"
          ],
          "enumDescriptions": [
            "Unspecified.",
            "Label detection. Detect objects, such as dog or flower.",
            "Shot change detection.",
            "Explicit content detection.",
            "Speech transcription.",
            "OCR text detection and tracking.",
            "Object detection and tracking.",
            "Logo detection, tracking, and recognition."
          ],
          "type": "string"
        },
        "inputUri": {
          "description": "Video file location in\n[Cloud Storage](https://cloud.google.com/storage/).",
          "type": "string"
        },
        "progressPercent": {
          "description": "Approximate percentage processed thus far. Guaranteed to be\n100 when fully processed.",
          "format": "int32",
          "type": "integer"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment",
          "description": "Specifies which segment is being tracked if the request contains more than\none segments."
        },
        "startTime": {
          "description": "Time when the request was received.",
          "format": "google-datetime",
          "type": "string"
        },
        "updateTime": {
          "description": "Time of the most recent update.",
          "format": "google-datetime",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_VideoAnnotationResults": {
      "description": "Annotation results for a single video.",
      "id": "GoogleCloudVideointelligenceV1p1beta1_VideoAnnotationResults",
      "properties": {
        "error": {
          "$ref": "GoogleRpc_Status",
          "description": "If set, indicates an error. Note that for a single `AnnotateVideoRequest`\nsome videos may succeed and some may fail."
        },
        "explicitAnnotation": {
          "$ref": "GoogleCloudVideointelligenceV1p1beta1_ExplicitContentAnnotation",
          "description": "Explicit content annotation."
        },
        "frameLabelAnnotations": {
          "description": "Label annotations on frame level.\nThere is exactly one element for each unique label.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_LabelAnnotation"
          },
          "type": "array"
        },
        "inputUri": {
          "description": "Video file location in\n[Cloud Storage](https://cloud.google.com/storage/).",
          "type": "string"
        },
        "logoRecognitionAnnotations": {
          "description": "Annotations for list of logos detected, tracked and recognized in video.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_LogoRecognitionAnnotation"
          },
          "type": "array"
        },
        "objectAnnotations": {
          "description": "Annotations for list of objects detected and tracked in video.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_ObjectTrackingAnnotation"
          },
          "type": "array"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment",
          "description": "Video segment on which the annotation is run."
        },
        "segmentLabelAnnotations": {
          "description": "Topical label annotations on video level or user specified segment level.\nThere is exactly one element for each unique label.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_LabelAnnotation"
          },
          "type": "array"
        },
        "segmentPresenceLabelAnnotations": {
          "description": "Presence label annotations on video level or user specified segment level.\nThere is exactly one element for each unique label. Compared to the\nexisting topical `segment_label_annotations`, this field presents more\nfine-grained, segment-level labels detected in video content and is made\navailable only when the client sets `LabelDetectionConfig.model` to\n\"builtin/latest\" in the request.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_LabelAnnotation"
          },
          "type": "array"
        },
        "shotAnnotations": {
          "description": "Shot annotations. Each shot is represented as a video segment.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment"
          },
          "type": "array"
        },
        "shotLabelAnnotations": {
          "description": "Topical label annotations on shot level.\nThere is exactly one element for each unique label.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_LabelAnnotation"
          },
          "type": "array"
        },
        "shotPresenceLabelAnnotations": {
          "description": "Presence label annotations on shot level. There is exactly one element for\neach unique label. Compared to the existing topical\n`shot_label_annotations`, this field presents more fine-grained, shot-level\nlabels detected in video content and is made available only when the client\nsets `LabelDetectionConfig.model` to \"builtin/latest\" in the request.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_LabelAnnotation"
          },
          "type": "array"
        },
        "speechTranscriptions": {
          "description": "Speech transcription.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_SpeechTranscription"
          },
          "type": "array"
        },
        "textAnnotations": {
          "description": "OCR text detection and tracking.\nAnnotations for list of detected text snippets. Each will have list of\nframe information associated with it.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p1beta1_TextAnnotation"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_VideoSegment": {
      "description": "Video segment.",
      "id": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment",
      "properties": {
        "endTimeOffset": {
          "description": "Time-offset, relative to the beginning of the video,\ncorresponding to the end of the segment (inclusive).",
          "format": "google-duration",
          "type": "string"
        },
        "startTimeOffset": {
          "description": "Time-offset, relative to the beginning of the video,\ncorresponding to the start of the segment (inclusive).",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p1beta1_WordInfo": {
      "description": "Word-specific information for recognized words. Word information is only\nincluded in the response when certain request parameters are set, such\nas `enable_word_time_offsets`.",
      "id": "GoogleCloudVideointelligenceV1p1beta1_WordInfo",
      "properties": {
        "confidence": {
          "description": "Output only. The confidence estimate between 0.0 and 1.0. A higher number\nindicates an estimated greater likelihood that the recognized words are\ncorrect. This field is set only for the top alternative.\nThis field is not guaranteed to be accurate and users should not rely on it\nto be always provided.\nThe default of 0.0 is a sentinel value indicating `confidence` was not set.",
          "format": "float",
          "type": "number"
        },
        "endTime": {
          "description": "Time offset relative to the beginning of the audio, and\ncorresponding to the end of the spoken word. This field is only set if\n`enable_word_time_offsets=true` and only in the top hypothesis. This is an\nexperimental feature and the accuracy of the time offset can vary.",
          "format": "google-duration",
          "type": "string"
        },
        "speakerTag": {
          "description": "Output only. A distinct integer value is assigned for every speaker within\nthe audio. This field specifies which one of those speakers was detected to\nhave spoken this word. Value ranges from 1 up to diarization_speaker_count,\nand is only set if speaker diarization is enabled.",
          "format": "int32",
          "type": "integer"
        },
        "startTime": {
          "description": "Time offset relative to the beginning of the audio, and\ncorresponding to the start of the spoken word. This field is only set if\n`enable_word_time_offsets=true` and only in the top hypothesis. This is an\nexperimental feature and the accuracy of the time offset can vary.",
          "format": "google-duration",
          "type": "string"
        },
        "word": {
          "description": "The word corresponding to this set of information.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_AnnotateVideoProgress": {
      "description": "Video annotation progress. Included in the `metadata`\nfield of the `Operation` returned by the `GetOperation`\ncall of the `google::longrunning::Operations` service.",
      "id": "GoogleCloudVideointelligenceV1p2beta1_AnnotateVideoProgress",
      "properties": {
        "annotationProgress": {
          "description": "Progress metadata for all videos specified in `AnnotateVideoRequest`.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoAnnotationProgress"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_AnnotateVideoResponse": {
      "description": "Video annotation response. Included in the `response`\nfield of the `Operation` returned by the `GetOperation`\ncall of the `google::longrunning::Operations` service.",
      "id": "GoogleCloudVideointelligenceV1p2beta1_AnnotateVideoResponse",
      "properties": {
        "annotationResults": {
          "description": "Annotation results for all videos specified in `AnnotateVideoRequest`.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoAnnotationResults"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_DetectedAttribute": {
      "description": "A generic detected attribute represented by name in string format.",
      "id": "GoogleCloudVideointelligenceV1p2beta1_DetectedAttribute",
      "properties": {
        "confidence": {
          "description": "Detected attribute confidence. Range [0, 1].",
          "format": "float",
          "type": "number"
        },
        "name": {
          "description": "The name of the attribute, i.e. glasses, dark_glasses, mouth_open etc.\nA full list of supported type names will be provided in the document.",
          "type": "string"
        },
        "value": {
          "description": "Text value of the detection result. For example, the value for \"HairColor\"\ncan be \"black\", \"blonde\", etc.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_DetectedLandmark": {
      "description": "A generic detected landmark represented by name in string format and a 2D\nlocation.",
      "id": "GoogleCloudVideointelligenceV1p2beta1_DetectedLandmark",
      "properties": {
        "confidence": {
          "description": "The confidence score of the detected landmark. Range [0, 1].",
          "format": "float",
          "type": "number"
        },
        "name": {
          "description": "The name of this landmark, i.e. left_hand, right_shoulder.",
          "type": "string"
        },
        "point": {
          "$ref": "GoogleCloudVideointelligenceV1p2beta1_NormalizedVertex",
          "description": "The 2D point of the detected landmark using the normalized image\ncoordindate system. The normalized coordinates have the range from 0 to 1."
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_Entity": {
      "description": "Detected entity from video analysis.",
      "id": "GoogleCloudVideointelligenceV1p2beta1_Entity",
      "properties": {
        "description": {
          "description": "Textual description, e.g. `Fixed-gear bicycle`.",
          "type": "string"
        },
        "entityId": {
          "description": "Opaque entity ID. Some IDs may be available in\n[Google Knowledge Graph Search\nAPI](https://developers.google.com/knowledge-graph/).",
          "type": "string"
        },
        "languageCode": {
          "description": "Language code for `description` in BCP-47 format.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_ExplicitContentAnnotation": {
      "description": "Explicit content annotation (based on per-frame visual signals only).\nIf no explicit content has been detected in a frame, no annotations are\npresent for that frame.",
      "id": "GoogleCloudVideointelligenceV1p2beta1_ExplicitContentAnnotation",
      "properties": {
        "frames": {
          "description": "All video frames where explicit content was detected.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_ExplicitContentFrame"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_ExplicitContentFrame": {
      "description": "Video frame level annotation results for explicit content.",
      "id": "GoogleCloudVideointelligenceV1p2beta1_ExplicitContentFrame",
      "properties": {
        "pornographyLikelihood": {
          "description": "Likelihood of the pornography content..",
          "enum": [
            "LIKELIHOOD_UNSPECIFIED",
            "VERY_UNLIKELY",
            "UNLIKELY",
            "POSSIBLE",
            "LIKELY",
            "VERY_LIKELY"
          ],
          "enumDescriptions": [
            "Unspecified likelihood.",
            "Very unlikely.",
            "Unlikely.",
            "Possible.",
            "Likely.",
            "Very likely."
          ],
          "type": "string"
        },
        "timeOffset": {
          "description": "Time-offset, relative to the beginning of the video, corresponding to the\nvideo frame for this location.",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_LabelAnnotation": {
      "description": "Label annotation.",
      "id": "GoogleCloudVideointelligenceV1p2beta1_LabelAnnotation",
      "properties": {
        "categoryEntities": {
          "description": "Common categories for the detected entity.\nE.g. when the label is `Terrier` the category is likely `dog`. And in some\ncases there might be more than one categories e.g. `Terrier` could also be\na `pet`.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_Entity"
          },
          "type": "array"
        },
        "entity": {
          "$ref": "GoogleCloudVideointelligenceV1p2beta1_Entity",
          "description": "Detected entity."
        },
        "frames": {
          "description": "All video frames where a label was detected.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_LabelFrame"
          },
          "type": "array"
        },
        "segments": {
          "description": "All video segments where a label was detected.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_LabelSegment"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_LabelFrame": {
      "description": "Video frame level annotation results for label detection.",
      "id": "GoogleCloudVideointelligenceV1p2beta1_LabelFrame",
      "properties": {
        "confidence": {
          "description": "Confidence that the label is accurate. Range: [0, 1].",
          "format": "float",
          "type": "number"
        },
        "timeOffset": {
          "description": "Time-offset, relative to the beginning of the video, corresponding to the\nvideo frame for this location.",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_LabelSegment": {
      "description": "Video segment level annotation results for label detection.",
      "id": "GoogleCloudVideointelligenceV1p2beta1_LabelSegment",
      "properties": {
        "confidence": {
          "description": "Confidence that the label is accurate. Range: [0, 1].",
          "format": "float",
          "type": "number"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment",
          "description": "Video segment where a label was detected."
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_LogoRecognitionAnnotation": {
      "description": "Annotation corresponding to one detected, tracked and recognized logo class.",
      "id": "GoogleCloudVideointelligenceV1p2beta1_LogoRecognitionAnnotation",
      "properties": {
        "entity": {
          "$ref": "GoogleCloudVideointelligenceV1p2beta1_Entity",
          "description": "Entity category information to specify the logo class that all the logo\ntracks within this LogoRecognitionAnnotation are recognized as."
        },
        "segments": {
          "description": "All video segments where the recognized logo appears. There might be\nmultiple instances of the same logo class appearing in one VideoSegment.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment"
          },
          "type": "array"
        },
        "tracks": {
          "description": "All logo tracks where the recognized logo appears. Each track corresponds\nto one logo instance appearing in consecutive frames.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_Track"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_NormalizedBoundingBox": {
      "description": "Normalized bounding box.\nThe normalized vertex coordinates are relative to the original image.\nRange: [0, 1].",
      "id": "GoogleCloudVideointelligenceV1p2beta1_NormalizedBoundingBox",
      "properties": {
        "bottom": {
          "description": "Bottom Y coordinate.",
          "format": "float",
          "type": "number"
        },
        "left": {
          "description": "Left X coordinate.",
          "format": "float",
          "type": "number"
        },
        "right": {
          "description": "Right X coordinate.",
          "format": "float",
          "type": "number"
        },
        "top": {
          "description": "Top Y coordinate.",
          "format": "float",
          "type": "number"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_NormalizedBoundingPoly": {
      "description": "Normalized bounding polygon for text (that might not be aligned with axis).\nContains list of the corner points in clockwise order starting from\ntop-left corner. For example, for a rectangular bounding box:\nWhen the text is horizontal it might look like:\n        0----1\n        |    |\n        3----2\n\nWhen it's clockwise rotated 180 degrees around the top-left corner it\nbecomes:\n        2----3\n        |    |\n        1----0\n\nand the vertex order will still be (0, 1, 2, 3). Note that values can be less\nthan 0, or greater than 1 due to trignometric calculations for location of\nthe box.",
      "id": "GoogleCloudVideointelligenceV1p2beta1_NormalizedBoundingPoly",
      "properties": {
        "vertices": {
          "description": "Normalized vertices of the bounding polygon.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_NormalizedVertex"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_NormalizedVertex": {
      "description": "A vertex represents a 2D point in the image.\nNOTE: the normalized vertex coordinates are relative to the original image\nand range from 0 to 1.",
      "id": "GoogleCloudVideointelligenceV1p2beta1_NormalizedVertex",
      "properties": {
        "x": {
          "description": "X coordinate.",
          "format": "float",
          "type": "number"
        },
        "y": {
          "description": "Y coordinate.",
          "format": "float",
          "type": "number"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_ObjectTrackingAnnotation": {
      "description": "Annotations corresponding to one tracked object.",
      "id": "GoogleCloudVideointelligenceV1p2beta1_ObjectTrackingAnnotation",
      "properties": {
        "confidence": {
          "description": "Object category's labeling confidence of this track.",
          "format": "float",
          "type": "number"
        },
        "entity": {
          "$ref": "GoogleCloudVideointelligenceV1p2beta1_Entity",
          "description": "Entity to specify the object category that this track is labeled as."
        },
        "frames": {
          "description": "Information corresponding to all frames where this object track appears.\nNon-streaming batch mode: it may be one or multiple ObjectTrackingFrame\nmessages in frames.\nStreaming mode: it can only be one ObjectTrackingFrame message in frames.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_ObjectTrackingFrame"
          },
          "type": "array"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment",
          "description": "Non-streaming batch mode ONLY.\nEach object track corresponds to one video segment where it appears."
        },
        "trackId": {
          "description": "Streaming mode ONLY.\nIn streaming mode, we do not know the end time of a tracked object\nbefore it is completed. Hence, there is no VideoSegment info returned.\nInstead, we provide a unique identifiable integer track_id so that\nthe customers can correlate the results of the ongoing\nObjectTrackAnnotation of the same track_id over time.",
          "format": "int64",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_ObjectTrackingFrame": {
      "description": "Video frame level annotations for object detection and tracking. This field\nstores per frame location, time offset, and confidence.",
      "id": "GoogleCloudVideointelligenceV1p2beta1_ObjectTrackingFrame",
      "properties": {
        "normalizedBoundingBox": {
          "$ref": "GoogleCloudVideointelligenceV1p2beta1_NormalizedBoundingBox",
          "description": "The normalized bounding box location of this object track for the frame."
        },
        "timeOffset": {
          "description": "The timestamp of the frame in microseconds.",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_SpeechRecognitionAlternative": {
      "description": "Alternative hypotheses (a.k.a. n-best list).",
      "id": "GoogleCloudVideointelligenceV1p2beta1_SpeechRecognitionAlternative",
      "properties": {
        "confidence": {
          "description": "Output only. The confidence estimate between 0.0 and 1.0. A higher number\nindicates an estimated greater likelihood that the recognized words are\ncorrect. This field is set only for the top alternative.\nThis field is not guaranteed to be accurate and users should not rely on it\nto be always provided.\nThe default of 0.0 is a sentinel value indicating `confidence` was not set.",
          "format": "float",
          "type": "number"
        },
        "transcript": {
          "description": "Transcript text representing the words that the user spoke.",
          "type": "string"
        },
        "words": {
          "description": "Output only. A list of word-specific information for each recognized word.\nNote: When `enable_speaker_diarization` is true, you will see all the words\nfrom the beginning of the audio.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_WordInfo"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_SpeechTranscription": {
      "description": "A speech recognition result corresponding to a portion of the audio.",
      "id": "GoogleCloudVideointelligenceV1p2beta1_SpeechTranscription",
      "properties": {
        "alternatives": {
          "description": "May contain one or more recognition hypotheses (up to the maximum specified\nin `max_alternatives`).  These alternatives are ordered in terms of\naccuracy, with the top (first) alternative being the most probable, as\nranked by the recognizer.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_SpeechRecognitionAlternative"
          },
          "type": "array"
        },
        "languageCode": {
          "description": "Output only. The [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag of\nthe language in this result. This language code was detected to have the\nmost likelihood of being spoken in the audio.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_TextAnnotation": {
      "description": "Annotations related to one detected OCR text snippet. This will contain the\ncorresponding text, confidence value, and frame level information for each\ndetection.",
      "id": "GoogleCloudVideointelligenceV1p2beta1_TextAnnotation",
      "properties": {
        "segments": {
          "description": "All video segments where OCR detected text appears.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_TextSegment"
          },
          "type": "array"
        },
        "text": {
          "description": "The detected text.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_TextFrame": {
      "description": "Video frame level annotation results for text annotation (OCR).\nContains information regarding timestamp and bounding box locations for the\nframes containing detected OCR text snippets.",
      "id": "GoogleCloudVideointelligenceV1p2beta1_TextFrame",
      "properties": {
        "rotatedBoundingBox": {
          "$ref": "GoogleCloudVideointelligenceV1p2beta1_NormalizedBoundingPoly",
          "description": "Bounding polygon of the detected text for this frame."
        },
        "timeOffset": {
          "description": "Timestamp of this frame.",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_TextSegment": {
      "description": "Video segment level annotation results for text detection.",
      "id": "GoogleCloudVideointelligenceV1p2beta1_TextSegment",
      "properties": {
        "confidence": {
          "description": "Confidence for the track of detected text. It is calculated as the highest\nover all frames where OCR detected text appears.",
          "format": "float",
          "type": "number"
        },
        "frames": {
          "description": "Information related to the frames where OCR detected text appears.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_TextFrame"
          },
          "type": "array"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment",
          "description": "Video segment where a text snippet was detected."
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_TimestampedObject": {
      "description": "For tracking related features.\nAn object at time_offset with attributes, and located with\nnormalized_bounding_box.",
      "id": "GoogleCloudVideointelligenceV1p2beta1_TimestampedObject",
      "properties": {
        "attributes": {
          "description": "Optional. The attributes of the object in the bounding box.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_DetectedAttribute"
          },
          "type": "array"
        },
        "landmarks": {
          "description": "Optional. The detected landmarks.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_DetectedLandmark"
          },
          "type": "array"
        },
        "normalizedBoundingBox": {
          "$ref": "GoogleCloudVideointelligenceV1p2beta1_NormalizedBoundingBox",
          "description": "Normalized Bounding box in a frame, where the object is located."
        },
        "timeOffset": {
          "description": "Time-offset, relative to the beginning of the video,\ncorresponding to the video frame for this object.",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_Track": {
      "description": "A track of an object instance.",
      "id": "GoogleCloudVideointelligenceV1p2beta1_Track",
      "properties": {
        "attributes": {
          "description": "Optional. Attributes in the track level.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_DetectedAttribute"
          },
          "type": "array"
        },
        "confidence": {
          "description": "Optional. The confidence score of the tracked object.",
          "format": "float",
          "type": "number"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment",
          "description": "Video segment of a track."
        },
        "timestampedObjects": {
          "description": "The object with timestamp and attributes per frame in the track.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_TimestampedObject"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_VideoAnnotationProgress": {
      "description": "Annotation progress for a single video.",
      "id": "GoogleCloudVideointelligenceV1p2beta1_VideoAnnotationProgress",
      "properties": {
        "feature": {
          "description": "Specifies which feature is being tracked if the request contains more than\none features.",
          "enum": [
            "FEATURE_UNSPECIFIED",
            "LABEL_DETECTION",
            "SHOT_CHANGE_DETECTION",
            "EXPLICIT_CONTENT_DETECTION",
            "SPEECH_TRANSCRIPTION",
            "TEXT_DETECTION",
            "OBJECT_TRACKING",
            "LOGO_RECOGNITION"
          ],
          "enumDescriptions": [
            "Unspecified.",
            "Label detection. Detect objects, such as dog or flower.",
            "Shot change detection.",
            "Explicit content detection.",
            "Speech transcription.",
            "OCR text detection and tracking.",
            "Object detection and tracking.",
            "Logo detection, tracking, and recognition."
          ],
          "type": "string"
        },
        "inputUri": {
          "description": "Video file location in\n[Cloud Storage](https://cloud.google.com/storage/).",
          "type": "string"
        },
        "progressPercent": {
          "description": "Approximate percentage processed thus far. Guaranteed to be\n100 when fully processed.",
          "format": "int32",
          "type": "integer"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment",
          "description": "Specifies which segment is being tracked if the request contains more than\none segments."
        },
        "startTime": {
          "description": "Time when the request was received.",
          "format": "google-datetime",
          "type": "string"
        },
        "updateTime": {
          "description": "Time of the most recent update.",
          "format": "google-datetime",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_VideoAnnotationResults": {
      "description": "Annotation results for a single video.",
      "id": "GoogleCloudVideointelligenceV1p2beta1_VideoAnnotationResults",
      "properties": {
        "error": {
          "$ref": "GoogleRpc_Status",
          "description": "If set, indicates an error. Note that for a single `AnnotateVideoRequest`\nsome videos may succeed and some may fail."
        },
        "explicitAnnotation": {
          "$ref": "GoogleCloudVideointelligenceV1p2beta1_ExplicitContentAnnotation",
          "description": "Explicit content annotation."
        },
        "frameLabelAnnotations": {
          "description": "Label annotations on frame level.\nThere is exactly one element for each unique label.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_LabelAnnotation"
          },
          "type": "array"
        },
        "inputUri": {
          "description": "Video file location in\n[Cloud Storage](https://cloud.google.com/storage/).",
          "type": "string"
        },
        "logoRecognitionAnnotations": {
          "description": "Annotations for list of logos detected, tracked and recognized in video.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_LogoRecognitionAnnotation"
          },
          "type": "array"
        },
        "objectAnnotations": {
          "description": "Annotations for list of objects detected and tracked in video.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_ObjectTrackingAnnotation"
          },
          "type": "array"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment",
          "description": "Video segment on which the annotation is run."
        },
        "segmentLabelAnnotations": {
          "description": "Topical label annotations on video level or user specified segment level.\nThere is exactly one element for each unique label.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_LabelAnnotation"
          },
          "type": "array"
        },
        "segmentPresenceLabelAnnotations": {
          "description": "Presence label annotations on video level or user specified segment level.\nThere is exactly one element for each unique label. Compared to the\nexisting topical `segment_label_annotations`, this field presents more\nfine-grained, segment-level labels detected in video content and is made\navailable only when the client sets `LabelDetectionConfig.model` to\n\"builtin/latest\" in the request.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_LabelAnnotation"
          },
          "type": "array"
        },
        "shotAnnotations": {
          "description": "Shot annotations. Each shot is represented as a video segment.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment"
          },
          "type": "array"
        },
        "shotLabelAnnotations": {
          "description": "Topical label annotations on shot level.\nThere is exactly one element for each unique label.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_LabelAnnotation"
          },
          "type": "array"
        },
        "shotPresenceLabelAnnotations": {
          "description": "Presence label annotations on shot level. There is exactly one element for\neach unique label. Compared to the existing topical\n`shot_label_annotations`, this field presents more fine-grained, shot-level\nlabels detected in video content and is made available only when the client\nsets `LabelDetectionConfig.model` to \"builtin/latest\" in the request.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_LabelAnnotation"
          },
          "type": "array"
        },
        "speechTranscriptions": {
          "description": "Speech transcription.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_SpeechTranscription"
          },
          "type": "array"
        },
        "textAnnotations": {
          "description": "OCR text detection and tracking.\nAnnotations for list of detected text snippets. Each will have list of\nframe information associated with it.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p2beta1_TextAnnotation"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_VideoSegment": {
      "description": "Video segment.",
      "id": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment",
      "properties": {
        "endTimeOffset": {
          "description": "Time-offset, relative to the beginning of the video,\ncorresponding to the end of the segment (inclusive).",
          "format": "google-duration",
          "type": "string"
        },
        "startTimeOffset": {
          "description": "Time-offset, relative to the beginning of the video,\ncorresponding to the start of the segment (inclusive).",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p2beta1_WordInfo": {
      "description": "Word-specific information for recognized words. Word information is only\nincluded in the response when certain request parameters are set, such\nas `enable_word_time_offsets`.",
      "id": "GoogleCloudVideointelligenceV1p2beta1_WordInfo",
      "properties": {
        "confidence": {
          "description": "Output only. The confidence estimate between 0.0 and 1.0. A higher number\nindicates an estimated greater likelihood that the recognized words are\ncorrect. This field is set only for the top alternative.\nThis field is not guaranteed to be accurate and users should not rely on it\nto be always provided.\nThe default of 0.0 is a sentinel value indicating `confidence` was not set.",
          "format": "float",
          "type": "number"
        },
        "endTime": {
          "description": "Time offset relative to the beginning of the audio, and\ncorresponding to the end of the spoken word. This field is only set if\n`enable_word_time_offsets=true` and only in the top hypothesis. This is an\nexperimental feature and the accuracy of the time offset can vary.",
          "format": "google-duration",
          "type": "string"
        },
        "speakerTag": {
          "description": "Output only. A distinct integer value is assigned for every speaker within\nthe audio. This field specifies which one of those speakers was detected to\nhave spoken this word. Value ranges from 1 up to diarization_speaker_count,\nand is only set if speaker diarization is enabled.",
          "format": "int32",
          "type": "integer"
        },
        "startTime": {
          "description": "Time offset relative to the beginning of the audio, and\ncorresponding to the start of the spoken word. This field is only set if\n`enable_word_time_offsets=true` and only in the top hypothesis. This is an\nexperimental feature and the accuracy of the time offset can vary.",
          "format": "google-duration",
          "type": "string"
        },
        "word": {
          "description": "The word corresponding to this set of information.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_AnnotateVideoProgress": {
      "description": "Video annotation progress. Included in the `metadata`\nfield of the `Operation` returned by the `GetOperation`\ncall of the `google::longrunning::Operations` service.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_AnnotateVideoProgress",
      "properties": {
        "annotationProgress": {
          "description": "Progress metadata for all videos specified in `AnnotateVideoRequest`.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoAnnotationProgress"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_AnnotateVideoResponse": {
      "description": "Video annotation response. Included in the `response`\nfield of the `Operation` returned by the `GetOperation`\ncall of the `google::longrunning::Operations` service.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_AnnotateVideoResponse",
      "properties": {
        "annotationResults": {
          "description": "Annotation results for all videos specified in `AnnotateVideoRequest`.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoAnnotationResults"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_Celebrity": {
      "description": "Celebrity definition.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_Celebrity",
      "properties": {
        "description": {
          "description": "Textual description of additional information about the celebrity, if\napplicable.",
          "type": "string"
        },
        "displayName": {
          "description": "The celebrity name.",
          "type": "string"
        },
        "name": {
          "description": "The resource name of the celebrity. Have the format\n`video-intelligence/kg-mid` indicates a celebrity from preloaded gallery.\nkg-mid is the id in Google knowledge graph, which is unique for the\ncelebrity.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_CelebrityRecognitionAnnotation": {
      "description": "Celebrity recognition annotation per video.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_CelebrityRecognitionAnnotation",
      "properties": {
        "celebrityTracks": {
          "description": "The tracks detected from the input video, including recognized celebrities\nand other detected faces in the video.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_CelebrityTrack"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_CelebrityTrack": {
      "description": "The annotation result of a celebrity face track. RecognizedCelebrity field\ncould be empty if the face track does not have any matched celebrities.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_CelebrityTrack",
      "properties": {
        "celebrities": {
          "description": "Top N match of the celebrities for the face in this track.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_RecognizedCelebrity"
          },
          "type": "array"
        },
        "faceTrack": {
          "$ref": "GoogleCloudVideointelligenceV1p3beta1_Track",
          "description": "A track of a person's face."
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_DetectedAttribute": {
      "description": "A generic detected attribute represented by name in string format.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_DetectedAttribute",
      "properties": {
        "confidence": {
          "description": "Detected attribute confidence. Range [0, 1].",
          "format": "float",
          "type": "number"
        },
        "name": {
          "description": "The name of the attribute, i.e. glasses, dark_glasses, mouth_open etc.\nA full list of supported type names will be provided in the document.",
          "type": "string"
        },
        "value": {
          "description": "Text value of the detection result. For example, the value for \"HairColor\"\ncan be \"black\", \"blonde\", etc.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_DetectedLandmark": {
      "description": "A generic detected landmark represented by name in string format and a 2D\nlocation.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_DetectedLandmark",
      "properties": {
        "confidence": {
          "description": "The confidence score of the detected landmark. Range [0, 1].",
          "format": "float",
          "type": "number"
        },
        "name": {
          "description": "The name of this landmark, i.e. left_hand, right_shoulder.",
          "type": "string"
        },
        "point": {
          "$ref": "GoogleCloudVideointelligenceV1p3beta1_NormalizedVertex",
          "description": "The 2D point of the detected landmark using the normalized image\ncoordindate system. The normalized coordinates have the range from 0 to 1."
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_Entity": {
      "description": "Detected entity from video analysis.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_Entity",
      "properties": {
        "description": {
          "description": "Textual description, e.g. `Fixed-gear bicycle`.",
          "type": "string"
        },
        "entityId": {
          "description": "Opaque entity ID. Some IDs may be available in\n[Google Knowledge Graph Search\nAPI](https://developers.google.com/knowledge-graph/).",
          "type": "string"
        },
        "languageCode": {
          "description": "Language code for `description` in BCP-47 format.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_ExplicitContentAnnotation": {
      "description": "Explicit content annotation (based on per-frame visual signals only).\nIf no explicit content has been detected in a frame, no annotations are\npresent for that frame.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_ExplicitContentAnnotation",
      "properties": {
        "frames": {
          "description": "All video frames where explicit content was detected.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_ExplicitContentFrame"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_ExplicitContentFrame": {
      "description": "Video frame level annotation results for explicit content.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_ExplicitContentFrame",
      "properties": {
        "pornographyLikelihood": {
          "description": "Likelihood of the pornography content..",
          "enum": [
            "LIKELIHOOD_UNSPECIFIED",
            "VERY_UNLIKELY",
            "UNLIKELY",
            "POSSIBLE",
            "LIKELY",
            "VERY_LIKELY"
          ],
          "enumDescriptions": [
            "Unspecified likelihood.",
            "Very unlikely.",
            "Unlikely.",
            "Possible.",
            "Likely.",
            "Very likely."
          ],
          "type": "string"
        },
        "timeOffset": {
          "description": "Time-offset, relative to the beginning of the video, corresponding to the\nvideo frame for this location.",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_FaceDetectionAnnotation": {
      "description": "Face detection annotation.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_FaceDetectionAnnotation",
      "properties": {
        "thumbnail": {
          "description": "The thumbnail of a person's face.",
          "format": "byte",
          "type": "string"
        },
        "tracks": {
          "description": "The face tracks with attributes.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_Track"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_LabelAnnotation": {
      "description": "Label annotation.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_LabelAnnotation",
      "properties": {
        "categoryEntities": {
          "description": "Common categories for the detected entity.\nE.g. when the label is `Terrier` the category is likely `dog`. And in some\ncases there might be more than one categories e.g. `Terrier` could also be\na `pet`.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_Entity"
          },
          "type": "array"
        },
        "entity": {
          "$ref": "GoogleCloudVideointelligenceV1p3beta1_Entity",
          "description": "Detected entity."
        },
        "frames": {
          "description": "All video frames where a label was detected.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_LabelFrame"
          },
          "type": "array"
        },
        "segments": {
          "description": "All video segments where a label was detected.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_LabelSegment"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_LabelFrame": {
      "description": "Video frame level annotation results for label detection.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_LabelFrame",
      "properties": {
        "confidence": {
          "description": "Confidence that the label is accurate. Range: [0, 1].",
          "format": "float",
          "type": "number"
        },
        "timeOffset": {
          "description": "Time-offset, relative to the beginning of the video, corresponding to the\nvideo frame for this location.",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_LabelSegment": {
      "description": "Video segment level annotation results for label detection.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_LabelSegment",
      "properties": {
        "confidence": {
          "description": "Confidence that the label is accurate. Range: [0, 1].",
          "format": "float",
          "type": "number"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment",
          "description": "Video segment where a label was detected."
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_LogoRecognitionAnnotation": {
      "description": "Annotation corresponding to one detected, tracked and recognized logo class.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_LogoRecognitionAnnotation",
      "properties": {
        "entity": {
          "$ref": "GoogleCloudVideointelligenceV1p3beta1_Entity",
          "description": "Entity category information to specify the logo class that all the logo\ntracks within this LogoRecognitionAnnotation are recognized as."
        },
        "segments": {
          "description": "All video segments where the recognized logo appears. There might be\nmultiple instances of the same logo class appearing in one VideoSegment.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment"
          },
          "type": "array"
        },
        "tracks": {
          "description": "All logo tracks where the recognized logo appears. Each track corresponds\nto one logo instance appearing in consecutive frames.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_Track"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_NormalizedBoundingBox": {
      "description": "Normalized bounding box.\nThe normalized vertex coordinates are relative to the original image.\nRange: [0, 1].",
      "id": "GoogleCloudVideointelligenceV1p3beta1_NormalizedBoundingBox",
      "properties": {
        "bottom": {
          "description": "Bottom Y coordinate.",
          "format": "float",
          "type": "number"
        },
        "left": {
          "description": "Left X coordinate.",
          "format": "float",
          "type": "number"
        },
        "right": {
          "description": "Right X coordinate.",
          "format": "float",
          "type": "number"
        },
        "top": {
          "description": "Top Y coordinate.",
          "format": "float",
          "type": "number"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_NormalizedBoundingPoly": {
      "description": "Normalized bounding polygon for text (that might not be aligned with axis).\nContains list of the corner points in clockwise order starting from\ntop-left corner. For example, for a rectangular bounding box:\nWhen the text is horizontal it might look like:\n        0----1\n        |    |\n        3----2\n\nWhen it's clockwise rotated 180 degrees around the top-left corner it\nbecomes:\n        2----3\n        |    |\n        1----0\n\nand the vertex order will still be (0, 1, 2, 3). Note that values can be less\nthan 0, or greater than 1 due to trignometric calculations for location of\nthe box.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_NormalizedBoundingPoly",
      "properties": {
        "vertices": {
          "description": "Normalized vertices of the bounding polygon.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_NormalizedVertex"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_NormalizedVertex": {
      "description": "A vertex represents a 2D point in the image.\nNOTE: the normalized vertex coordinates are relative to the original image\nand range from 0 to 1.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_NormalizedVertex",
      "properties": {
        "x": {
          "description": "X coordinate.",
          "format": "float",
          "type": "number"
        },
        "y": {
          "description": "Y coordinate.",
          "format": "float",
          "type": "number"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_ObjectTrackingAnnotation": {
      "description": "Annotations corresponding to one tracked object.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_ObjectTrackingAnnotation",
      "properties": {
        "confidence": {
          "description": "Object category's labeling confidence of this track.",
          "format": "float",
          "type": "number"
        },
        "entity": {
          "$ref": "GoogleCloudVideointelligenceV1p3beta1_Entity",
          "description": "Entity to specify the object category that this track is labeled as."
        },
        "frames": {
          "description": "Information corresponding to all frames where this object track appears.\nNon-streaming batch mode: it may be one or multiple ObjectTrackingFrame\nmessages in frames.\nStreaming mode: it can only be one ObjectTrackingFrame message in frames.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_ObjectTrackingFrame"
          },
          "type": "array"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment",
          "description": "Non-streaming batch mode ONLY.\nEach object track corresponds to one video segment where it appears."
        },
        "trackId": {
          "description": "Streaming mode ONLY.\nIn streaming mode, we do not know the end time of a tracked object\nbefore it is completed. Hence, there is no VideoSegment info returned.\nInstead, we provide a unique identifiable integer track_id so that\nthe customers can correlate the results of the ongoing\nObjectTrackAnnotation of the same track_id over time.",
          "format": "int64",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_ObjectTrackingFrame": {
      "description": "Video frame level annotations for object detection and tracking. This field\nstores per frame location, time offset, and confidence.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_ObjectTrackingFrame",
      "properties": {
        "normalizedBoundingBox": {
          "$ref": "GoogleCloudVideointelligenceV1p3beta1_NormalizedBoundingBox",
          "description": "The normalized bounding box location of this object track for the frame."
        },
        "timeOffset": {
          "description": "The timestamp of the frame in microseconds.",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_PersonDetectionAnnotation": {
      "description": "Person detection annotation per video.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_PersonDetectionAnnotation",
      "properties": {
        "tracks": {
          "description": "The trackes that a person is detected.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_Track"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_RecognizedCelebrity": {
      "description": "The recognized celebrity with confidence score.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_RecognizedCelebrity",
      "properties": {
        "celebrity": {
          "$ref": "GoogleCloudVideointelligenceV1p3beta1_Celebrity",
          "description": "The recognized celebrity."
        },
        "confidence": {
          "description": "Recognition confidence. Range [0, 1].",
          "format": "float",
          "type": "number"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_SpeechRecognitionAlternative": {
      "description": "Alternative hypotheses (a.k.a. n-best list).",
      "id": "GoogleCloudVideointelligenceV1p3beta1_SpeechRecognitionAlternative",
      "properties": {
        "confidence": {
          "description": "Output only. The confidence estimate between 0.0 and 1.0. A higher number\nindicates an estimated greater likelihood that the recognized words are\ncorrect. This field is set only for the top alternative.\nThis field is not guaranteed to be accurate and users should not rely on it\nto be always provided.\nThe default of 0.0 is a sentinel value indicating `confidence` was not set.",
          "format": "float",
          "type": "number"
        },
        "transcript": {
          "description": "Transcript text representing the words that the user spoke.",
          "type": "string"
        },
        "words": {
          "description": "Output only. A list of word-specific information for each recognized word.\nNote: When `enable_speaker_diarization` is true, you will see all the words\nfrom the beginning of the audio.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_WordInfo"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_SpeechTranscription": {
      "description": "A speech recognition result corresponding to a portion of the audio.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_SpeechTranscription",
      "properties": {
        "alternatives": {
          "description": "May contain one or more recognition hypotheses (up to the maximum specified\nin `max_alternatives`).  These alternatives are ordered in terms of\naccuracy, with the top (first) alternative being the most probable, as\nranked by the recognizer.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_SpeechRecognitionAlternative"
          },
          "type": "array"
        },
        "languageCode": {
          "description": "Output only. The [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag of\nthe language in this result. This language code was detected to have the\nmost likelihood of being spoken in the audio.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_StreamingAnnotateVideoResponse": {
      "description": "`StreamingAnnotateVideoResponse` is the only message returned to the client\nby `StreamingAnnotateVideo`. A series of zero or more\n`StreamingAnnotateVideoResponse` messages are streamed back to the client.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_StreamingAnnotateVideoResponse",
      "properties": {
        "annotationResults": {
          "$ref": "GoogleCloudVideointelligenceV1p3beta1_StreamingVideoAnnotationResults",
          "description": "Streaming annotation results."
        },
        "annotationResultsUri": {
          "description": "Cloud Storage URI that stores annotation results of one streaming session.\nIt is a directory that can hold multiple files in JSON format.\nExample uri format:\ngs://bucket_id/object_id/cloud_project_name-session_id",
          "type": "string"
        },
        "error": {
          "$ref": "GoogleRpc_Status",
          "description": "If set, returns a google.rpc.Status message that\nspecifies the error for the operation."
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_StreamingVideoAnnotationResults": {
      "description": "Streaming annotation results corresponding to a portion of the video\nthat is currently being processed.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_StreamingVideoAnnotationResults",
      "properties": {
        "explicitAnnotation": {
          "$ref": "GoogleCloudVideointelligenceV1p3beta1_ExplicitContentAnnotation",
          "description": "Explicit content annotation results."
        },
        "labelAnnotations": {
          "description": "Label annotation results.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_LabelAnnotation"
          },
          "type": "array"
        },
        "objectAnnotations": {
          "description": "Object tracking results.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_ObjectTrackingAnnotation"
          },
          "type": "array"
        },
        "shotAnnotations": {
          "description": "Shot annotation results. Each shot is represented as a video segment.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_TextAnnotation": {
      "description": "Annotations related to one detected OCR text snippet. This will contain the\ncorresponding text, confidence value, and frame level information for each\ndetection.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_TextAnnotation",
      "properties": {
        "segments": {
          "description": "All video segments where OCR detected text appears.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_TextSegment"
          },
          "type": "array"
        },
        "text": {
          "description": "The detected text.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_TextFrame": {
      "description": "Video frame level annotation results for text annotation (OCR).\nContains information regarding timestamp and bounding box locations for the\nframes containing detected OCR text snippets.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_TextFrame",
      "properties": {
        "rotatedBoundingBox": {
          "$ref": "GoogleCloudVideointelligenceV1p3beta1_NormalizedBoundingPoly",
          "description": "Bounding polygon of the detected text for this frame."
        },
        "timeOffset": {
          "description": "Timestamp of this frame.",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_TextSegment": {
      "description": "Video segment level annotation results for text detection.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_TextSegment",
      "properties": {
        "confidence": {
          "description": "Confidence for the track of detected text. It is calculated as the highest\nover all frames where OCR detected text appears.",
          "format": "float",
          "type": "number"
        },
        "frames": {
          "description": "Information related to the frames where OCR detected text appears.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_TextFrame"
          },
          "type": "array"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment",
          "description": "Video segment where a text snippet was detected."
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_TimestampedObject": {
      "description": "For tracking related features.\nAn object at time_offset with attributes, and located with\nnormalized_bounding_box.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_TimestampedObject",
      "properties": {
        "attributes": {
          "description": "Optional. The attributes of the object in the bounding box.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_DetectedAttribute"
          },
          "type": "array"
        },
        "landmarks": {
          "description": "Optional. The detected landmarks.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_DetectedLandmark"
          },
          "type": "array"
        },
        "normalizedBoundingBox": {
          "$ref": "GoogleCloudVideointelligenceV1p3beta1_NormalizedBoundingBox",
          "description": "Normalized Bounding box in a frame, where the object is located."
        },
        "timeOffset": {
          "description": "Time-offset, relative to the beginning of the video,\ncorresponding to the video frame for this object.",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_Track": {
      "description": "A track of an object instance.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_Track",
      "properties": {
        "attributes": {
          "description": "Optional. Attributes in the track level.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_DetectedAttribute"
          },
          "type": "array"
        },
        "confidence": {
          "description": "Optional. The confidence score of the tracked object.",
          "format": "float",
          "type": "number"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment",
          "description": "Video segment of a track."
        },
        "timestampedObjects": {
          "description": "The object with timestamp and attributes per frame in the track.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_TimestampedObject"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_VideoAnnotationProgress": {
      "description": "Annotation progress for a single video.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_VideoAnnotationProgress",
      "properties": {
        "feature": {
          "description": "Specifies which feature is being tracked if the request contains more than\none features.",
          "enum": [
            "FEATURE_UNSPECIFIED",
            "LABEL_DETECTION",
            "SHOT_CHANGE_DETECTION",
            "EXPLICIT_CONTENT_DETECTION",
            "FACE_DETECTION",
            "SPEECH_TRANSCRIPTION",
            "TEXT_DETECTION",
            "OBJECT_TRACKING",
            "LOGO_RECOGNITION",
            "CELEBRITY_RECOGNITION",
            "PERSON_DETECTION"
          ],
          "enumDescriptions": [
            "Unspecified.",
            "Label detection. Detect objects, such as dog or flower.",
            "Shot change detection.",
            "Explicit content detection.",
            "Human face detection.",
            "Speech transcription.",
            "OCR text detection and tracking.",
            "Object detection and tracking.",
            "Logo detection, tracking, and recognition.",
            "Celebrity recognition.",
            "Person detection."
          ],
          "type": "string"
        },
        "inputUri": {
          "description": "Video file location in\n[Cloud Storage](https://cloud.google.com/storage/).",
          "type": "string"
        },
        "progressPercent": {
          "description": "Approximate percentage processed thus far. Guaranteed to be\n100 when fully processed.",
          "format": "int32",
          "type": "integer"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment",
          "description": "Specifies which segment is being tracked if the request contains more than\none segments."
        },
        "startTime": {
          "description": "Time when the request was received.",
          "format": "google-datetime",
          "type": "string"
        },
        "updateTime": {
          "description": "Time of the most recent update.",
          "format": "google-datetime",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_VideoAnnotationResults": {
      "description": "Annotation results for a single video.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_VideoAnnotationResults",
      "properties": {
        "celebrityRecognitionAnnotations": {
          "$ref": "GoogleCloudVideointelligenceV1p3beta1_CelebrityRecognitionAnnotation",
          "description": "Celebrity recognition annotations."
        },
        "error": {
          "$ref": "GoogleRpc_Status",
          "description": "If set, indicates an error. Note that for a single `AnnotateVideoRequest`\nsome videos may succeed and some may fail."
        },
        "explicitAnnotation": {
          "$ref": "GoogleCloudVideointelligenceV1p3beta1_ExplicitContentAnnotation",
          "description": "Explicit content annotation."
        },
        "faceDetectionAnnotations": {
          "description": "Face detection annotations.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_FaceDetectionAnnotation"
          },
          "type": "array"
        },
        "frameLabelAnnotations": {
          "description": "Label annotations on frame level.\nThere is exactly one element for each unique label.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_LabelAnnotation"
          },
          "type": "array"
        },
        "inputUri": {
          "description": "Video file location in\n[Cloud Storage](https://cloud.google.com/storage/).",
          "type": "string"
        },
        "logoRecognitionAnnotations": {
          "description": "Annotations for list of logos detected, tracked and recognized in video.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_LogoRecognitionAnnotation"
          },
          "type": "array"
        },
        "objectAnnotations": {
          "description": "Annotations for list of objects detected and tracked in video.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_ObjectTrackingAnnotation"
          },
          "type": "array"
        },
        "personDetectionAnnotations": {
          "description": "Person detection annotations.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_PersonDetectionAnnotation"
          },
          "type": "array"
        },
        "segment": {
          "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment",
          "description": "Video segment on which the annotation is run."
        },
        "segmentLabelAnnotations": {
          "description": "Topical label annotations on video level or user specified segment level.\nThere is exactly one element for each unique label.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_LabelAnnotation"
          },
          "type": "array"
        },
        "segmentPresenceLabelAnnotations": {
          "description": "Presence label annotations on video level or user specified segment level.\nThere is exactly one element for each unique label. Compared to the\nexisting topical `segment_label_annotations`, this field presents more\nfine-grained, segment-level labels detected in video content and is made\navailable only when the client sets `LabelDetectionConfig.model` to\n\"builtin/latest\" in the request.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_LabelAnnotation"
          },
          "type": "array"
        },
        "shotAnnotations": {
          "description": "Shot annotations. Each shot is represented as a video segment.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment"
          },
          "type": "array"
        },
        "shotLabelAnnotations": {
          "description": "Topical label annotations on shot level.\nThere is exactly one element for each unique label.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_LabelAnnotation"
          },
          "type": "array"
        },
        "shotPresenceLabelAnnotations": {
          "description": "Presence label annotations on shot level. There is exactly one element for\neach unique label. Compared to the existing topical\n`shot_label_annotations`, this field presents more fine-grained, shot-level\nlabels detected in video content and is made available only when the client\nsets `LabelDetectionConfig.model` to \"builtin/latest\" in the request.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_LabelAnnotation"
          },
          "type": "array"
        },
        "speechTranscriptions": {
          "description": "Speech transcription.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_SpeechTranscription"
          },
          "type": "array"
        },
        "textAnnotations": {
          "description": "OCR text detection and tracking.\nAnnotations for list of detected text snippets. Each will have list of\nframe information associated with it.",
          "items": {
            "$ref": "GoogleCloudVideointelligenceV1p3beta1_TextAnnotation"
          },
          "type": "array"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_VideoSegment": {
      "description": "Video segment.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment",
      "properties": {
        "endTimeOffset": {
          "description": "Time-offset, relative to the beginning of the video,\ncorresponding to the end of the segment (inclusive).",
          "format": "google-duration",
          "type": "string"
        },
        "startTimeOffset": {
          "description": "Time-offset, relative to the beginning of the video,\ncorresponding to the start of the segment (inclusive).",
          "format": "google-duration",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleCloudVideointelligenceV1p3beta1_WordInfo": {
      "description": "Word-specific information for recognized words. Word information is only\nincluded in the response when certain request parameters are set, such\nas `enable_word_time_offsets`.",
      "id": "GoogleCloudVideointelligenceV1p3beta1_WordInfo",
      "properties": {
        "confidence": {
          "description": "Output only. The confidence estimate between 0.0 and 1.0. A higher number\nindicates an estimated greater likelihood that the recognized words are\ncorrect. This field is set only for the top alternative.\nThis field is not guaranteed to be accurate and users should not rely on it\nto be always provided.\nThe default of 0.0 is a sentinel value indicating `confidence` was not set.",
          "format": "float",
          "type": "number"
        },
        "endTime": {
          "description": "Time offset relative to the beginning of the audio, and\ncorresponding to the end of the spoken word. This field is only set if\n`enable_word_time_offsets=true` and only in the top hypothesis. This is an\nexperimental feature and the accuracy of the time offset can vary.",
          "format": "google-duration",
          "type": "string"
        },
        "speakerTag": {
          "description": "Output only. A distinct integer value is assigned for every speaker within\nthe audio. This field specifies which one of those speakers was detected to\nhave spoken this word. Value ranges from 1 up to diarization_speaker_count,\nand is only set if speaker diarization is enabled.",
          "format": "int32",
          "type": "integer"
        },
        "startTime": {
          "description": "Time offset relative to the beginning of the audio, and\ncorresponding to the start of the spoken word. This field is only set if\n`enable_word_time_offsets=true` and only in the top hypothesis. This is an\nexperimental feature and the accuracy of the time offset can vary.",
          "format": "google-duration",
          "type": "string"
        },
        "word": {
          "description": "The word corresponding to this set of information.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "GoogleLongrunning_Operation": {
      "description": "This resource represents a long-running operation that is the result of a\nnetwork API call.",
      "id": "GoogleLongrunning_Operation",
      "properties": {
        "done": {
          "description": "If the value is `false`, it means the operation is still in progress.\nIf `true`, the operation is completed, and either `error` or `response` is\navailable.",
          "type": "boolean"
        },
        "error": {
          "$ref": "GoogleRpc_Status",
          "description": "The error result of the operation in case of failure or cancellation."
        },
        "metadata": {
          "additionalProperties": {
            "description": "Properties of the object. Contains field @type with type URL.",
            "type": "any"
          },
          "description": "Service-specific metadata associated with the operation.  It typically\ncontains progress information and common metadata such as create time.\nSome services might not provide such metadata.  Any method that returns a\nlong-running operation should document the metadata type, if any.",
          "type": "object"
        },
        "name": {
          "description": "The server-assigned name, which is only unique within the same service that\noriginally returns it. If you use the default HTTP mapping, the\n`name` should be a resource name ending with `operations/{unique_id}`.",
          "type": "string"
        },
        "response": {
          "additionalProperties": {
            "description": "Properties of the object. Contains field @type with type URL.",
            "type": "any"
          },
          "description": "The normal response of the operation in case of success.  If the original\nmethod returns no data on success, such as `Delete`, the response is\n`google.protobuf.Empty`.  If the original method is standard\n`Get`/`Create`/`Update`, the response should be the resource.  For other\nmethods, the response should have the type `XxxResponse`, where `Xxx`\nis the original method name.  For example, if the original method name\nis `TakeSnapshot()`, the inferred response type is\n`TakeSnapshotResponse`.",
          "type": "object"
        }
      },
      "type": "object"
    },
    "GoogleRpc_Status": {
      "description": "The `Status` type defines a logical error model that is suitable for\ndifferent programming environments, including REST APIs and RPC APIs. It is\nused by [gRPC](https://github.com/grpc). Each `Status` message contains\nthree pieces of data: error code, error message, and error details.\n\nYou can find out more about this error model and how to work with it in the\n[API Design Guide](https://cloud.google.com/apis/design/errors).",
      "id": "GoogleRpc_Status",
      "properties": {
        "code": {
          "description": "The status code, which should be an enum value of google.rpc.Code.",
          "format": "int32",
          "type": "integer"
        },
        "details": {
          "description": "A list of messages that carry the error details.  There is a common set of\nmessage types for APIs to use.",
          "items": {
            "additionalProperties": {
              "description": "Properties of the object. Contains field @type with type URL.",
              "type": "any"
            },
            "type": "object"
          },
          "type": "array"
        },
        "message": {
          "description": "A developer-facing error message, which should be in English. Any\nuser-facing error message should be localized and sent in the\ngoogle.rpc.Status.details field, or localized by the client.",
          "type": "string"
        }
      },
      "type": "object"
    }
  },
  "servicePath": "",
  "title": "Cloud Video Intelligence API",
  "version": "v1beta2",
  "version_module": true
}