google.cloud.videointelligence.v1beta2

FEATURE_UNSPECIFIED

Unspecified.

LABEL_DETECTION

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

SHOT_CHANGE_DETECTION

Shot change detection.

EXPLICIT_CONTENT_DETECTION

Explicit content detection.

FACE_DETECTION

Human face detection and tracking.

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.

LIKELIHOOD_UNSPECIFIED

Unspecified likelihood.

VERY_UNLIKELY

Very unlikely.

UNLIKELY

Unlikely.

POSSIBLE

Possible.

LIKELY

Likely.

VERY_LIKELY

Very likely.

annotationProgress

Array of Object

Progress metadata for all videos specified in AnnotateVideoRequest.

This object should have the same structure as VideoAnnotationProgress

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

string

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 of 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.

annotationResults

Array of Object

Annotation results for all videos specified in AnnotateVideoRequest.

This object should have the same structure as VideoAnnotationResults

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.

frames

Array of Object

All video frames where explicit content was detected.

This object should have the same structure as ExplicitContentFrame

model

string

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

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

thumbnail

string

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

segments

Array of Object

All video segments where a face was detected.

This object should have the same structure as FaceSegment

frames

Array of Object

All video frames where a face was detected.

This object should have the same structure as FaceFrame

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.

normalizedBoundingBoxes

Array of 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

segment

Object

Video segment where a face was detected.

This object should have the same structure as VideoSegment

entity

Object

Detected entity.

This object should have the same structure as Entity

categoryEntities

Array of 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 of Object

All video segments where a label was detected.

This object should have the same structure as LabelSegment

frames

Array of Object

All video frames where a label was detected.

This object should have the same structure as LabelFrame

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".

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].

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].

left

number

Left X coordinate.

top

number

Top Y coordinate.

right

number

Right X coordinate.

bottom

number

Bottom Y coordinate.

model

string

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

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

inputUri

string

Video file location in Google Cloud Storage.

segmentLabelAnnotations

Array of 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 of 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 of 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 of Object

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

This object should have the same structure as FaceAnnotation

shotAnnotations

Array of 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

segments

Array of 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

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