// Copyright 2019 Google LLC.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//

syntax = "proto3";

package google.cloud.videointelligence.v1p2beta1;

import "google/api/annotations.proto";
import "google/api/client.proto";
import "google/api/field_behavior.proto";
import "google/longrunning/operations.proto";
import "google/protobuf/duration.proto";
import "google/protobuf/timestamp.proto";
import "google/rpc/status.proto";

option csharp_namespace = "Google.Cloud.VideoIntelligence.V1P2Beta1";
option go_package = "cloud.google.com/go/videointelligence/apiv1p2beta1/videointelligencepb;videointelligencepb";
option java_multiple_files = true;
option java_outer_classname = "VideoIntelligenceServiceProto";
option java_package = "com.google.cloud.videointelligence.v1p2beta1";
option php_namespace = "Google\\Cloud\\VideoIntelligence\\V1p2beta1";
option ruby_package = "Google::Cloud::VideoIntelligence::V1p2beta1";

// Service that implements Google Cloud Video Intelligence API.
service VideoIntelligenceService {
  option (google.api.default_host) = "videointelligence.googleapis.com";
  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";

  // Performs asynchronous video annotation. Progress and results can be
  // retrieved through the `google.longrunning.Operations` interface.
  // `Operation.metadata` contains `AnnotateVideoProgress` (progress).
  // `Operation.response` contains `AnnotateVideoResponse` (results).
  rpc AnnotateVideo(AnnotateVideoRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      post: "/v1p2beta1/videos:annotate"
      body: "*"
    };
    option (google.api.method_signature) = "input_uri,features";
    option (google.longrunning.operation_info) = {
      response_type: "AnnotateVideoResponse"
      metadata_type: "AnnotateVideoProgress"
    };
  }
}

// Video annotation request.
message AnnotateVideoRequest {
  // Input video location. Currently, only
  // [Google Cloud Storage](https://cloud.google.com/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][google.rpc.Code.INVALID_ARGUMENT]). For more information, see
  // [Request URIs](https://cloud.google.com/storage/docs/request-endpoints).
  // 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.
  string input_uri = 1;

  // The video data bytes.
  // If unset, the input video(s) should be specified via `input_uri`.
  // If set, `input_uri` should be unset.
  bytes input_content = 6;

  // Required. Requested video annotation features.
  repeated Feature features = 2 [(google.api.field_behavior) = REQUIRED];

  // Additional video context and/or feature-specific parameters.
  VideoContext video_context = 3;

  // Optional. Location where the output (in JSON format) should be stored.
  // Currently, only [Google Cloud Storage](https://cloud.google.com/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][google.rpc.Code.INVALID_ARGUMENT]). For more information, see
  // [Request URIs](https://cloud.google.com/storage/docs/request-endpoints).
  string output_uri = 4 [(google.api.field_behavior) = OPTIONAL];

  // 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.
  string location_id = 5 [(google.api.field_behavior) = OPTIONAL];
}

// Video context and/or feature-specific parameters.
message VideoContext {
  // 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.
  repeated VideoSegment segments = 1;

  // Config for LABEL_DETECTION.
  LabelDetectionConfig label_detection_config = 2;

  // Config for SHOT_CHANGE_DETECTION.
  ShotChangeDetectionConfig shot_change_detection_config = 3;

  // Config for EXPLICIT_CONTENT_DETECTION.
  ExplicitContentDetectionConfig explicit_content_detection_config = 4;

  // Config for TEXT_DETECTION.
  TextDetectionConfig text_detection_config = 8;
}

// Config for LABEL_DETECTION.
message LabelDetectionConfig {
  // What labels should be detected with LABEL_DETECTION, in addition to
  // video-level labels or segment-level labels.
  // If unspecified, defaults to `SHOT_MODE`.
  LabelDetectionMode label_detection_mode = 1;

  // 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.
  bool stationary_camera = 2;

  // Model to use for label detection.
  // Supported values: "builtin/stable" (the default if unset) and
  // "builtin/latest".
  string model = 3;
}

// Config for SHOT_CHANGE_DETECTION.
message ShotChangeDetectionConfig {
  // Model to use for shot change detection.
  // Supported values: "builtin/stable" (the default if unset) and
  // "builtin/latest".
  string model = 1;
}

// Config for EXPLICIT_CONTENT_DETECTION.
message ExplicitContentDetectionConfig {
  // Model to use for explicit content detection.
  // Supported values: "builtin/stable" (the default if unset) and
  // "builtin/latest".
  string model = 1;
}

// Config for TEXT_DETECTION.
message TextDetectionConfig {
  // Language hint can be specified if the language to be detected is known a
  // priori. It can increase the accuracy of the detection. Language hint must
  // be language code in BCP-47 format.
  //
  // Automatic language detection is performed if no hint is provided.
  repeated string language_hints = 1;
}

// Video segment.
message VideoSegment {
  // Time-offset, relative to the beginning of the video,
  // corresponding to the start of the segment (inclusive).
  google.protobuf.Duration start_time_offset = 1;

  // Time-offset, relative to the beginning of the video,
  // corresponding to the end of the segment (inclusive).
  google.protobuf.Duration end_time_offset = 2;
}

// Video segment level annotation results for label detection.
message LabelSegment {
  // Video segment where a label was detected.
  VideoSegment segment = 1;

  // Confidence that the label is accurate. Range: [0, 1].
  float confidence = 2;
}

// Video frame level annotation results for label detection.
message LabelFrame {
  // Time-offset, relative to the beginning of the video, corresponding to the
  // video frame for this location.
  google.protobuf.Duration time_offset = 1;

  // Confidence that the label is accurate. Range: [0, 1].
  float confidence = 2;
}

// Detected entity from video analysis.
message Entity {
  // Opaque entity ID. Some IDs may be available in
  // [Google Knowledge Graph Search
  // API](https://developers.google.com/knowledge-graph/).
  string entity_id = 1;

  // Textual description, e.g. `Fixed-gear bicycle`.
  string description = 2;

  // Language code for `description` in BCP-47 format.
  string language_code = 3;
}

// Label annotation.
message LabelAnnotation {
  // Detected entity.
  Entity entity = 1;

  // 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`.
  repeated Entity category_entities = 2;

  // All video segments where a label was detected.
  repeated LabelSegment segments = 3;

  // All video frames where a label was detected.
  repeated LabelFrame frames = 4;
}

// Video frame level annotation results for explicit content.
message ExplicitContentFrame {
  // Time-offset, relative to the beginning of the video, corresponding to the
  // video frame for this location.
  google.protobuf.Duration time_offset = 1;

  // Likelihood of the pornography content..
  Likelihood pornography_likelihood = 2;
}

// 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.
message ExplicitContentAnnotation {
  // All video frames where explicit content was detected.
  repeated ExplicitContentFrame frames = 1;
}

// Normalized bounding box.
// The normalized vertex coordinates are relative to the original image.
// Range: [0, 1].
message NormalizedBoundingBox {
  // Left X coordinate.
  float left = 1;

  // Top Y coordinate.
  float top = 2;

  // Right X coordinate.
  float right = 3;

  // Bottom Y coordinate.
  float bottom = 4;
}

// Annotation results for a single video.
message VideoAnnotationResults {
  // Video file location in
  // [Google Cloud Storage](https://cloud.google.com/storage/).
  string input_uri = 1;

  // Label annotations on video level or user specified segment level.
  // There is exactly one element for each unique label.
  repeated LabelAnnotation segment_label_annotations = 2;

  // Label annotations on shot level.
  // There is exactly one element for each unique label.
  repeated LabelAnnotation shot_label_annotations = 3;

  // Label annotations on frame level.
  // There is exactly one element for each unique label.
  repeated LabelAnnotation frame_label_annotations = 4;

  // Shot annotations. Each shot is represented as a video segment.
  repeated VideoSegment shot_annotations = 6;

  // Explicit content annotation.
  ExplicitContentAnnotation explicit_annotation = 7;

  // OCR text detection and tracking.
  // Annotations for list of detected text snippets. Each will have list of
  // frame information associated with it.
  repeated TextAnnotation text_annotations = 12;

  // Annotations for list of objects detected and tracked in video.
  repeated ObjectTrackingAnnotation object_annotations = 14;

  // If set, indicates an error. Note that for a single `AnnotateVideoRequest`
  // some videos may succeed and some may fail.
  google.rpc.Status error = 9;
}

// Video annotation response. Included in the `response`
// field of the `Operation` returned by the `GetOperation`
// call of the `google::longrunning::Operations` service.
message AnnotateVideoResponse {
  // Annotation results for all videos specified in `AnnotateVideoRequest`.
  repeated VideoAnnotationResults annotation_results = 1;
}

// Annotation progress for a single video.
message VideoAnnotationProgress {
  // Video file location in
  // [Google Cloud Storage](https://cloud.google.com/storage/).
  string input_uri = 1;

  // Approximate percentage processed thus far. Guaranteed to be
  // 100 when fully processed.
  int32 progress_percent = 2;

  // Time when the request was received.
  google.protobuf.Timestamp start_time = 3;

  // Time of the most recent update.
  google.protobuf.Timestamp update_time = 4;
}

// Video annotation progress. Included in the `metadata`
// field of the `Operation` returned by the `GetOperation`
// call of the `google::longrunning::Operations` service.
message AnnotateVideoProgress {
  // Progress metadata for all videos specified in `AnnotateVideoRequest`.
  repeated VideoAnnotationProgress annotation_progress = 1;
}

// A vertex represents a 2D point in the image.
// NOTE: the normalized vertex coordinates are relative to the original image
// and range from 0 to 1.
message NormalizedVertex {
  // X coordinate.
  float x = 1;

  // Y coordinate.
  float y = 2;
}

// Normalized bounding polygon for text (that might not be aligned with axis).
// Contains list of the corner points in clockwise order starting from
// top-left corner. For example, for a rectangular bounding box:
// When the text is horizontal it might look like:
//         0----1
//         |    |
//         3----2
//
// When it's clockwise rotated 180 degrees around the top-left corner it
// becomes:
//         2----3
//         |    |
//         1----0
//
// and the vertex order will still be (0, 1, 2, 3). Note that values can be less
// than 0, or greater than 1 due to trignometric calculations for location of
// the box.
message NormalizedBoundingPoly {
  // Normalized vertices of the bounding polygon.
  repeated NormalizedVertex vertices = 1;
}

// Video segment level annotation results for text detection.
message TextSegment {
  // Video segment where a text snippet was detected.
  VideoSegment segment = 1;

  // Confidence for the track of detected text. It is calculated as the highest
  // over all frames where OCR detected text appears.
  float confidence = 2;

  // Information related to the frames where OCR detected text appears.
  repeated TextFrame frames = 3;
}

// Video frame level annotation results for text annotation (OCR).
// Contains information regarding timestamp and bounding box locations for the
// frames containing detected OCR text snippets.
message TextFrame {
  // Bounding polygon of the detected text for this frame.
  NormalizedBoundingPoly rotated_bounding_box = 1;

  // Timestamp of this frame.
  google.protobuf.Duration time_offset = 2;
}

// Annotations related to one detected OCR text snippet. This will contain the
// corresponding text, confidence value, and frame level information for each
// detection.
message TextAnnotation {
  // The detected text.
  string text = 1;

  // All video segments where OCR detected text appears.
  repeated TextSegment segments = 2;
}

// Video frame level annotations for object detection and tracking. This field
// stores per frame location, time offset, and confidence.
message ObjectTrackingFrame {
  // The normalized bounding box location of this object track for the frame.
  NormalizedBoundingBox normalized_bounding_box = 1;

  // The timestamp of the frame in microseconds.
  google.protobuf.Duration time_offset = 2;
}

// Annotations corresponding to one tracked object.
message ObjectTrackingAnnotation {
  // Different representation of tracking info in non-streaming batch
  // and streaming modes.
  oneof track_info {
    // Non-streaming batch mode ONLY.
    // Each object track corresponds to one video segment where it appears.
    VideoSegment segment = 3;

    // Streaming mode ONLY.
    // In streaming mode, we do not know the end time of a tracked object
    // before it is completed. Hence, there is no VideoSegment info returned.
    // Instead, we provide a unique identifiable integer track_id so that
    // the customers can correlate the results of the ongoing
    // ObjectTrackAnnotation of the same track_id over time.
    int64 track_id = 5;
  }

  // Entity to specify the object category that this track is labeled as.
  Entity entity = 1;

  // Object category's labeling confidence of this track.
  float confidence = 4;

  // Information corresponding to all frames where this object track appears.
  repeated ObjectTrackingFrame frames = 2;
}

// Video annotation feature.
enum Feature {
  // Unspecified.
  FEATURE_UNSPECIFIED = 0;

  // Label detection. Detect objects, such as dog or flower.
  LABEL_DETECTION = 1;

  // Shot change detection.
  SHOT_CHANGE_DETECTION = 2;

  // Explicit content detection.
  EXPLICIT_CONTENT_DETECTION = 3;

  // OCR text detection and tracking.
  TEXT_DETECTION = 7;

  // Object detection and tracking.
  OBJECT_TRACKING = 9;
}

// Label detection mode.
enum LabelDetectionMode {
  // Unspecified.
  LABEL_DETECTION_MODE_UNSPECIFIED = 0;

  // Detect shot-level labels.
  SHOT_MODE = 1;

  // Detect frame-level labels.
  FRAME_MODE = 2;

  // Detect both shot-level and frame-level labels.
  SHOT_AND_FRAME_MODE = 3;
}

// Bucketized representation of likelihood.
enum Likelihood {
  // Unspecified likelihood.
  LIKELIHOOD_UNSPECIFIED = 0;

  // Very unlikely.
  VERY_UNLIKELY = 1;

  // Unlikely.
  UNLIKELY = 2;

  // Possible.
  POSSIBLE = 3;

  // Likely.
  LIKELY = 4;

  // Very likely.
  VERY_LIKELY = 5;
}