Console
    Contact Us Start free

    REST Resource: videos

    Resource: AnnotateVideoRequest

    Video annotation request.

    JSON representation 
     { 
 "inputUri" : 
 string 
 , 
 "inputContent" : 
 string 
 , 
 "features" : 
 [ 
 enum(  Feature 
 
) 
 ] 
 , 
 "videoContext" : 
 { 
 object(  VideoContext 
 
) 
 } 
 , 
 "outputUri" : 
 string 
 , 
 "locationId" : 
 string 
 }
    Fields
    inputUri

    string

    Input video location. Currently, only Google Cloud Storage URIs are supported, which must be specified in the following format: gs://bucket-id/object-id (other URI formats return google.rpc.Code.INVALID_ARGUMENT ). For more information, see Request URIs . A video URI may include wildcards in object-id , and thus identify multiple videos. Supported wildcards: '*' to match 0 or more characters; '?' to match 1 character. If unset, the input video should be embedded in the request as inputContent . If set, inputContent should be unset.
    inputContent

    string

    The video data bytes. Encoding: base64. If unset, the input video(s) should be specified via inputUri . If set, inputUri should be unset.
    features[]

    enum( Feature )

    Requested video annotation features.
    videoContext

    object( VideoContext )

    Additional video context and/or feature-specific parameters.
    outputUri

    string

    Optional location where the output (in JSON format) should be stored. Currently, only Google Cloud Storage URIs are supported, which must be specified in the following format: gs://bucket-id/object-id (other URI formats return google.rpc.Code.INVALID_ARGUMENT ). For more information, see Request URIs .
    locationId

    string

    Optional cloud region where annotation should take place. Supported cloud regions: us-east1 , us-west1 , europe-west1 , asia-east1 . If no region is specified, a region will be determined based on video file location.

    Feature

    Video annotation feature.

    Enums
    FEATURE_UNSPECIFIED Unspecified.
    LABEL_DETECTION Label detection. Detect objects, such as dog or flower.
    SHOT_CHANGE_DETECTION Shot change detection.
    SAFE_SEARCH_DETECTION Safe search detection.

    VideoContext

    Video context and/or feature-specific parameters.

    JSON representation 
     { 
 "segments" : 
 [ 
 { 
 object( VideoSegment 
) 
 } 
 ] 
 , 
 "labelDetectionMode" : 
 enum(  LabelDetectionMode 
 
) 
 , 
 "stationaryCamera" : 
 boolean 
 , 
 "labelDetectionModel" : 
 string 
 , 
 "shotChangeDetectionModel" : 
 string 
 , 
 "safeSearchDetectionModel" : 
 string 
 }
    Fields
    segments[]

    object( VideoSegment )

    Video segments to annotate. The segments may overlap and are not required to be contiguous or span the whole video. If unspecified, each video is treated as a single segment.
    labelDetectionMode

    enum( LabelDetectionMode )

    If label detection has been requested, what labels should be detected in addition to video-level labels or segment-level labels. If unspecified, defaults to SHOT_MODE .
    stationaryCamera

    boolean

    Whether the video has been shot from a stationary (i.e. non-moving) camera. When set to true, might improve detection accuracy for moving objects.
    labelDetectionModel

    string

    Model to use for label detection. Supported values: "latest" and "stable" (the default).
    shotChangeDetectionModel

    string

    Model to use for shot change detection. Supported values: "latest" and "stable" (the default).
    safeSearchDetectionModel

    string

    Model to use for safe search detection. Supported values: "latest" and "stable" (the default).

    LabelDetectionMode

    Label detection mode.

    Enums
    LABEL_DETECTION_MODE_UNSPECIFIED Unspecified.
    SHOT_MODE Detect shot-level labels.
    FRAME_MODE Detect frame-level labels.
    SHOT_AND_FRAME_MODE Detect both shot-level and frame-level labels.

    Methods

    annotate

    		Performs asynchronous video annotation.
    Design a Mobile Site
    View Site in Mobile | Classic
    Share by: