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website/functions/node_modules/google-proto-files/google/cloud/videointelligence/v1beta2/video_intelligence.proto
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website/functions/node_modules/google-proto-files/google/cloud/videointelligence/v1beta2/video_intelligence.proto
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// Copyright 2017 Google Inc.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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syntax = "proto3";
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package google.cloud.videointelligence.v1beta2;
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import "google/api/annotations.proto";
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import "google/longrunning/operations.proto";
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import "google/protobuf/duration.proto";
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import "google/protobuf/timestamp.proto";
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import "google/rpc/status.proto";
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option csharp_namespace = "Google.Cloud.VideoIntelligence.V1Beta2";
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option go_package = "google.golang.org/genproto/googleapis/cloud/videointelligence/v1beta2;videointelligence";
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option java_multiple_files = true;
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option java_outer_classname = "VideoIntelligenceServiceProto";
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option java_package = "com.google.cloud.videointelligence.v1beta2";
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option php_namespace = "Google\\Cloud\\VideoIntelligence\\V1beta2";
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// Service that implements Google Cloud Video Intelligence API.
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service VideoIntelligenceService {
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// Performs asynchronous video annotation. Progress and results can be
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// retrieved through the `google.longrunning.Operations` interface.
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// `Operation.metadata` contains `AnnotateVideoProgress` (progress).
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// `Operation.response` contains `AnnotateVideoResponse` (results).
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rpc AnnotateVideo(AnnotateVideoRequest) returns (google.longrunning.Operation) {
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option (google.api.http) = { post: "/v1beta2/videos:annotate" body: "*" };
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}
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}
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// Video annotation request.
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message AnnotateVideoRequest {
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// Input video location. Currently, only
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// [Google Cloud Storage](https://cloud.google.com/storage/) URIs are
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// supported, which must be specified in the following format:
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// `gs://bucket-id/object-id` (other URI formats return
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// [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]). For more information, see
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// [Request URIs](/storage/docs/reference-uris).
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// A video URI may include wildcards in `object-id`, and thus identify
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// multiple videos. Supported wildcards: '*' to match 0 or more characters;
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// '?' to match 1 character. If unset, the input video should be embedded
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// in the request as `input_content`. If set, `input_content` should be unset.
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string input_uri = 1;
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// The video data bytes.
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// If unset, the input video(s) should be specified via `input_uri`.
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// If set, `input_uri` should be unset.
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bytes input_content = 6;
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// Requested video annotation features.
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repeated Feature features = 2;
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// Additional video context and/or feature-specific parameters.
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VideoContext video_context = 3;
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// Optional location where the output (in JSON format) should be stored.
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// Currently, only [Google Cloud Storage](https://cloud.google.com/storage/)
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// URIs are supported, which must be specified in the following format:
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// `gs://bucket-id/object-id` (other URI formats return
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// [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]). For more information, see
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// [Request URIs](/storage/docs/reference-uris).
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string output_uri = 4;
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// Optional cloud region where annotation should take place. Supported cloud
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// regions: `us-east1`, `us-west1`, `europe-west1`, `asia-east1`. If no region
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// is specified, a region will be determined based on video file location.
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string location_id = 5;
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}
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// Video context and/or feature-specific parameters.
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message VideoContext {
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// Video segments to annotate. The segments may overlap and are not required
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// to be contiguous or span the whole video. If unspecified, each video
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// is treated as a single segment.
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repeated VideoSegment segments = 1;
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// Config for LABEL_DETECTION.
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LabelDetectionConfig label_detection_config = 2;
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// Config for SHOT_CHANGE_DETECTION.
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ShotChangeDetectionConfig shot_change_detection_config = 3;
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// Config for EXPLICIT_CONTENT_DETECTION.
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ExplicitContentDetectionConfig explicit_content_detection_config = 4;
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// Config for FACE_DETECTION.
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FaceDetectionConfig face_detection_config = 5;
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}
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// Config for LABEL_DETECTION.
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message LabelDetectionConfig {
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// What labels should be detected with LABEL_DETECTION, in addition to
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// video-level labels or segment-level labels.
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// If unspecified, defaults to `SHOT_MODE`.
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LabelDetectionMode label_detection_mode = 1;
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// Whether the video has been shot from a stationary (i.e. non-moving) camera.
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// When set to true, might improve detection accuracy for moving objects.
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// Should be used with `SHOT_AND_FRAME_MODE` enabled.
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bool stationary_camera = 2;
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// Model to use for label detection.
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// Supported values: "builtin/stable" (the default if unset) and
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// "builtin/latest".
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string model = 3;
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}
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// Config for SHOT_CHANGE_DETECTION.
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message ShotChangeDetectionConfig {
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// Model to use for shot change detection.
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// Supported values: "builtin/stable" (the default if unset) and
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// "builtin/latest".
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string model = 1;
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}
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// Config for EXPLICIT_CONTENT_DETECTION.
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message ExplicitContentDetectionConfig {
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// Model to use for explicit content detection.
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// Supported values: "builtin/stable" (the default if unset) and
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// "builtin/latest".
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string model = 1;
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}
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// Config for FACE_DETECTION.
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message FaceDetectionConfig {
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// Model to use for face detection.
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// Supported values: "builtin/stable" (the default if unset) and
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// "builtin/latest".
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string model = 1;
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// Whether bounding boxes be included in the face annotation output.
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bool include_bounding_boxes = 2;
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}
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// Video segment.
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message VideoSegment {
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// Time-offset, relative to the beginning of the video,
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// corresponding to the start of the segment (inclusive).
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google.protobuf.Duration start_time_offset = 1;
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// Time-offset, relative to the beginning of the video,
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// corresponding to the end of the segment (inclusive).
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google.protobuf.Duration end_time_offset = 2;
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}
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// Video segment level annotation results for label detection.
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message LabelSegment {
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// Video segment where a label was detected.
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VideoSegment segment = 1;
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// Confidence that the label is accurate. Range: [0, 1].
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float confidence = 2;
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}
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// Video frame level annotation results for label detection.
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message LabelFrame {
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// Time-offset, relative to the beginning of the video, corresponding to the
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// video frame for this location.
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google.protobuf.Duration time_offset = 1;
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// Confidence that the label is accurate. Range: [0, 1].
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float confidence = 2;
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}
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// Detected entity from video analysis.
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message Entity {
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// Opaque entity ID. Some IDs may be available in
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// [Google Knowledge Graph Search
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// API](https://developers.google.com/knowledge-graph/).
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string entity_id = 1;
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// Textual description, e.g. `Fixed-gear bicycle`.
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string description = 2;
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// Language code for `description` in BCP-47 format.
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string language_code = 3;
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}
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// Label annotation.
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message LabelAnnotation {
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// Detected entity.
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Entity entity = 1;
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// Common categories for the detected entity.
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// E.g. when the label is `Terrier` the category is likely `dog`. And in some
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// cases there might be more than one categories e.g. `Terrier` could also be
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// a `pet`.
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repeated Entity category_entities = 2;
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// All video segments where a label was detected.
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repeated LabelSegment segments = 3;
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// All video frames where a label was detected.
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repeated LabelFrame frames = 4;
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}
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// Video frame level annotation results for explicit content.
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message ExplicitContentFrame {
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// Time-offset, relative to the beginning of the video, corresponding to the
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// video frame for this location.
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google.protobuf.Duration time_offset = 1;
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// Likelihood of the pornography content..
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Likelihood pornography_likelihood = 2;
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}
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// Explicit content annotation (based on per-frame visual signals only).
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// If no explicit content has been detected in a frame, no annotations are
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// present for that frame.
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message ExplicitContentAnnotation {
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// All video frames where explicit content was detected.
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repeated ExplicitContentFrame frames = 1;
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}
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// Normalized bounding box.
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// The normalized vertex coordinates are relative to the original image.
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// Range: [0, 1].
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message NormalizedBoundingBox {
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// Left X coordinate.
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float left = 1;
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// Top Y coordinate.
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float top = 2;
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// Right X coordinate.
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float right = 3;
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// Bottom Y coordinate.
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float bottom = 4;
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}
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// Video segment level annotation results for face detection.
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message FaceSegment {
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// Video segment where a face was detected.
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VideoSegment segment = 1;
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}
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// Video frame level annotation results for face detection.
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message FaceFrame {
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// Normalized Bounding boxes in a frame.
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// There can be more than one boxes if the same face is detected in multiple
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// locations within the current frame.
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repeated NormalizedBoundingBox normalized_bounding_boxes = 1;
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// Time-offset, relative to the beginning of the video,
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// corresponding to the video frame for this location.
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google.protobuf.Duration time_offset = 2;
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}
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// Face annotation.
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message FaceAnnotation {
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// Thumbnail of a representative face view (in JPEG format).
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bytes thumbnail = 1;
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// All video segments where a face was detected.
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repeated FaceSegment segments = 2;
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// All video frames where a face was detected.
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repeated FaceFrame frames = 3;
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}
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// Annotation results for a single video.
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message VideoAnnotationResults {
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// Video file location in
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// [Google Cloud Storage](https://cloud.google.com/storage/).
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string input_uri = 1;
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// Label annotations on video level or user specified segment level.
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// There is exactly one element for each unique label.
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repeated LabelAnnotation segment_label_annotations = 2;
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// Label annotations on shot level.
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// There is exactly one element for each unique label.
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repeated LabelAnnotation shot_label_annotations = 3;
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// Label annotations on frame level.
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// There is exactly one element for each unique label.
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repeated LabelAnnotation frame_label_annotations = 4;
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// Face annotations. There is exactly one element for each unique face.
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repeated FaceAnnotation face_annotations = 5;
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// Shot annotations. Each shot is represented as a video segment.
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repeated VideoSegment shot_annotations = 6;
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// Explicit content annotation.
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ExplicitContentAnnotation explicit_annotation = 7;
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// If set, indicates an error. Note that for a single `AnnotateVideoRequest`
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// some videos may succeed and some may fail.
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google.rpc.Status error = 9;
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}
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// Video annotation response. Included in the `response`
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// field of the `Operation` returned by the `GetOperation`
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// call of the `google::longrunning::Operations` service.
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message AnnotateVideoResponse {
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// Annotation results for all videos specified in `AnnotateVideoRequest`.
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repeated VideoAnnotationResults annotation_results = 1;
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}
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// Annotation progress for a single video.
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message VideoAnnotationProgress {
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// Video file location in
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// [Google Cloud Storage](https://cloud.google.com/storage/).
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string input_uri = 1;
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// Approximate percentage processed thus far.
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// Guaranteed to be 100 when fully processed.
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int32 progress_percent = 2;
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// Time when the request was received.
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google.protobuf.Timestamp start_time = 3;
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// Time of the most recent update.
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google.protobuf.Timestamp update_time = 4;
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}
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// Video annotation progress. Included in the `metadata`
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// field of the `Operation` returned by the `GetOperation`
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// call of the `google::longrunning::Operations` service.
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message AnnotateVideoProgress {
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// Progress metadata for all videos specified in `AnnotateVideoRequest`.
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repeated VideoAnnotationProgress annotation_progress = 1;
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}
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// Video annotation feature.
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enum Feature {
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// Unspecified.
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FEATURE_UNSPECIFIED = 0;
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// Label detection. Detect objects, such as dog or flower.
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LABEL_DETECTION = 1;
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// Shot change detection.
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SHOT_CHANGE_DETECTION = 2;
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// Explicit content detection.
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EXPLICIT_CONTENT_DETECTION = 3;
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// Human face detection and tracking.
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FACE_DETECTION = 4;
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}
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// Label detection mode.
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enum LabelDetectionMode {
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// Unspecified.
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LABEL_DETECTION_MODE_UNSPECIFIED = 0;
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// Detect shot-level labels.
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SHOT_MODE = 1;
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// Detect frame-level labels.
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FRAME_MODE = 2;
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// Detect both shot-level and frame-level labels.
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SHOT_AND_FRAME_MODE = 3;
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}
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// Bucketized representation of likelihood.
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enum Likelihood {
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// Unspecified likelihood.
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LIKELIHOOD_UNSPECIFIED = 0;
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// Very unlikely.
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VERY_UNLIKELY = 1;
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// Unlikely.
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UNLIKELY = 2;
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// Possible.
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POSSIBLE = 3;
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// Likely.
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LIKELY = 4;
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// Very likely.
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VERY_LIKELY = 5;
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}
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