v1beta2

.videointelligence. v1beta2

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Members

(static, constant) Feature :number

Video annotation feature.

Properties:
Name Type Description
FEATURE_UNSPECIFIED number

Unspecified.

LABEL_DETECTION number

Label detection. Detect objects, such as dog or flower.

SHOT_CHANGE_DETECTION number

Shot change detection.

EXPLICIT_CONTENT_DETECTION number

Explicit content detection.

FACE_DETECTION number

Human face detection and tracking.

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(static, constant) LabelDetectionMode :number

Label detection mode.

Properties:
Name Type Description
LABEL_DETECTION_MODE_UNSPECIFIED number

Unspecified.

SHOT_MODE number

Detect shot-level labels.

FRAME_MODE number

Detect frame-level labels.

SHOT_AND_FRAME_MODE number

Detect both shot-level and frame-level labels.

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(static, constant) Likelihood :number

Bucketized representation of likelihood.

Properties:
Name Type Description
LIKELIHOOD_UNSPECIFIED number

Unspecified likelihood.

VERY_UNLIKELY number

Very unlikely.

UNLIKELY number

Unlikely.

POSSIBLE number

Possible.

LIKELY number

Likely.

VERY_LIKELY number

Very likely.

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Type Definitions

AnnotateVideoProgress

Video annotation progress. Included in the metadata field of the Operation returned by the GetOperation call of the google::longrunning::Operations service.

Properties:
Name Type Description
annotationProgress Array.<Object>

Progress metadata for all videos specified in AnnotateVideoRequest.

This object should have the same structure as VideoAnnotationProgress

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AnnotateVideoRequest

Video annotation request.

Properties:
Name Type Description
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 input_content. If set, input_content should be unset.

inputContent Buffer

The video data bytes. If unset, the input video(s) should be specified via input_uri. If set, input_uri should be unset.

features Array.<number>

Requested video annotation features.

The number should be among the values of Feature

videoContext Object

Additional video context and/or feature-specific parameters.

This object should have the same structure as VideoContext

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.

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AnnotateVideoResponse

Video annotation response. Included in the response field of the Operation returned by the GetOperation call of the google::longrunning::Operations service.

Properties:
Name Type Description
annotationResults Array.<Object>

Annotation results for all videos specified in AnnotateVideoRequest.

This object should have the same structure as VideoAnnotationResults

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Entity

Detected entity from video analysis.

Properties:
Name Type Description
entityId string

Opaque entity ID. Some IDs may be available in Google Knowledge Graph Search API.

description string

Textual description, e.g. Fixed-gear bicycle.

languageCode string

Language code for description in BCP-47 format.

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ExplicitContentAnnotation

Explicit content annotation (based on per-frame visual signals only). If no explicit content has been detected in a frame, no annotations are present for that frame.

Properties:
Name Type Description
frames Array.<Object>

All video frames where explicit content was detected.

This object should have the same structure as ExplicitContentFrame

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ExplicitContentDetectionConfig

Config for EXPLICIT_CONTENT_DETECTION.

Properties:
Name Type Description
model string

Model to use for explicit content detection. Supported values: "builtin/stable" (the default if unset) and "builtin/latest".

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ExplicitContentFrame

Video frame level annotation results for explicit content.

Properties:
Name Type Description
timeOffset Object

Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.

This object should have the same structure as Duration

pornographyLikelihood number

Likelihood of the pornography content..

The number should be among the values of Likelihood

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FaceAnnotation

Face annotation.

Properties:
Name Type Description
thumbnail Buffer

Thumbnail of a representative face view (in JPEG format).

segments Array.<Object>

All video segments where a face was detected.

This object should have the same structure as FaceSegment

frames Array.<Object>

All video frames where a face was detected.

This object should have the same structure as FaceFrame

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FaceDetectionConfig

Config for FACE_DETECTION.

Properties:
Name Type Description
model string

Model to use for face detection. Supported values: "builtin/stable" (the default if unset) and "builtin/latest".

includeBoundingBoxes boolean

Whether bounding boxes be included in the face annotation output.

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FaceFrame

Video frame level annotation results for face detection.

Properties:
Name Type Description
normalizedBoundingBoxes Array.<Object>

Normalized Bounding boxes in a frame. There can be more than one boxes if the same face is detected in multiple locations within the current frame.

This object should have the same structure as NormalizedBoundingBox

timeOffset Object

Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.

This object should have the same structure as Duration

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FaceSegment

Video segment level annotation results for face detection.

Properties:
Name Type Description
segment Object

Video segment where a face was detected.

This object should have the same structure as VideoSegment

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LabelAnnotation

Label annotation.

Properties:
Name Type Description
entity Object

Detected entity.

This object should have the same structure as Entity

categoryEntities Array.<Object>

Common categories for the detected entity. E.g. when the label is Terrier the category is likely dog. And in some cases there might be more than one categories e.g. Terrier could also be a pet.

This object should have the same structure as Entity

segments Array.<Object>

All video segments where a label was detected.

This object should have the same structure as LabelSegment

frames Array.<Object>

All video frames where a label was detected.

This object should have the same structure as LabelFrame

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LabelDetectionConfig

Config for LABEL_DETECTION.

Properties:
Name Type Description
labelDetectionMode number

What labels should be detected with LABEL_DETECTION, in addition to video-level labels or segment-level labels. If unspecified, defaults to SHOT_MODE.

The number should be among the values of LabelDetectionMode

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. Should be used with SHOT_AND_FRAME_MODE enabled.

model string

Model to use for label detection. Supported values: "builtin/stable" (the default if unset) and "builtin/latest".

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LabelFrame

Video frame level annotation results for label detection.

Properties:
Name Type Description
timeOffset Object

Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.

This object should have the same structure as Duration

confidence number

Confidence that the label is accurate. Range: [0, 1].

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LabelSegment

Video segment level annotation results for label detection.

Properties:
Name Type Description
segment Object

Video segment where a label was detected.

This object should have the same structure as VideoSegment

confidence number

Confidence that the label is accurate. Range: [0, 1].

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NormalizedBoundingBox

Normalized bounding box. The normalized vertex coordinates are relative to the original image. Range: [0, 1].

Properties:
Name Type Description
left number

Left X coordinate.

top number

Top Y coordinate.

right number

Right X coordinate.

bottom number

Bottom Y coordinate.

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ShotChangeDetectionConfig

Config for SHOT_CHANGE_DETECTION.

Properties:
Name Type Description
model string

Model to use for shot change detection. Supported values: "builtin/stable" (the default if unset) and "builtin/latest".

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VideoAnnotationProgress

Annotation progress for a single video.

Properties:
Name Type Description
inputUri string

Video file location in Google Cloud Storage.

progressPercent number

Approximate percentage processed thus far. Guaranteed to be 100 when fully processed.

startTime Object

Time when the request was received.

This object should have the same structure as Timestamp

updateTime Object

Time of the most recent update.

This object should have the same structure as Timestamp

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VideoAnnotationResults

Annotation results for a single video.

Properties:
Name Type Description
inputUri string

Video file location in Google Cloud Storage.

segmentLabelAnnotations Array.<Object>

Label annotations on video level or user specified segment level. There is exactly one element for each unique label.

This object should have the same structure as LabelAnnotation

shotLabelAnnotations Array.<Object>

Label annotations on shot level. There is exactly one element for each unique label.

This object should have the same structure as LabelAnnotation

frameLabelAnnotations Array.<Object>

Label annotations on frame level. There is exactly one element for each unique label.

This object should have the same structure as LabelAnnotation

faceAnnotations Array.<Object>

Face annotations. There is exactly one element for each unique face.

This object should have the same structure as FaceAnnotation

shotAnnotations Array.<Object>

Shot annotations. Each shot is represented as a video segment.

This object should have the same structure as VideoSegment

explicitAnnotation Object

Explicit content annotation.

This object should have the same structure as ExplicitContentAnnotation

error Object

If set, indicates an error. Note that for a single AnnotateVideoRequest some videos may succeed and some may fail.

This object should have the same structure as Status

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VideoContext

Video context and/or feature-specific parameters.

Properties:
Name Type Description
segments Array.<Object>

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.

This object should have the same structure as VideoSegment

labelDetectionConfig Object

Config for LABEL_DETECTION.

This object should have the same structure as LabelDetectionConfig

shotChangeDetectionConfig Object

Config for SHOT_CHANGE_DETECTION.

This object should have the same structure as ShotChangeDetectionConfig

explicitContentDetectionConfig Object

Config for EXPLICIT_CONTENT_DETECTION.

This object should have the same structure as ExplicitContentDetectionConfig

faceDetectionConfig Object

Config for FACE_DETECTION.

This object should have the same structure as FaceDetectionConfig

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VideoSegment

Video segment.

Properties:
Name Type Description
startTimeOffset Object

Time-offset, relative to the beginning of the video, corresponding to the start of the segment (inclusive).

This object should have the same structure as Duration

endTimeOffset Object

Time-offset, relative to the beginning of the video, corresponding to the end of the segment (inclusive).

This object should have the same structure as Duration

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