openapi: 3.0.3 info: title: Amazon Rekognition Celebrity Recognition Stored Video Analysis API description: Amazon Rekognition is a cloud-based computer vision service providing image and video analysis including label detection, facial analysis, face comparison, celebrity recognition, text detection, content moderation, custom labels, face liveness detection, and streaming video analysis. version: '2016-06-27' contact: name: AWS Support url: https://aws.amazon.com/contact-us/ license: name: Apache 2.0 url: https://www.apache.org/licenses/LICENSE-2.0 x-generated-from: documentation servers: - url: https://rekognition.amazonaws.com description: Amazon Rekognition global endpoint tags: - name: Stored Video Analysis description: Asynchronous analysis of videos stored in Amazon S3. paths: /#StartLabelDetection: post: operationId: startLabelDetection summary: Amazon Rekognition Start Label Detection description: Starts asynchronous detection of labels in a stored video. tags: - Stored Video Analysis requestBody: required: true content: application/x-amz-json-1.1: schema: $ref: '#/components/schemas/StartLabelDetectionRequest' examples: startLabelDetectionRequestExample: summary: Default startLabelDetection request x-microcks-default: true value: Video: S3Object: Bucket: my-videos-bucket Name: clip.mp4 MinConfidence: 75.0 responses: '200': description: Label detection job started successfully. content: application/x-amz-json-1.1: schema: $ref: '#/components/schemas/StartVideoJobResponse' examples: startLabelDetection200Example: summary: Default startLabelDetection 200 response x-microcks-default: true value: JobId: 1234567890abcdef '400': description: Invalid request. content: application/x-amz-json-1.1: schema: $ref: '#/components/schemas/ErrorResponse' security: - aws_signature: [] x-microcks-operation: delay: 0 dispatcher: FALLBACK /#GetLabelDetection: post: operationId: getLabelDetection summary: Amazon Rekognition Get Label Detection description: Gets the label detection results of a Rekognition Video analysis started by StartLabelDetection. tags: - Stored Video Analysis requestBody: required: true content: application/x-amz-json-1.1: schema: $ref: '#/components/schemas/GetVideoJobResultRequest' examples: getLabelDetectionRequestExample: summary: Default getLabelDetection request x-microcks-default: true value: JobId: 1234567890abcdef MaxResults: 100 responses: '200': description: Label detection results retrieved successfully. content: application/x-amz-json-1.1: schema: $ref: '#/components/schemas/GetLabelDetectionResponse' examples: getLabelDetection200Example: summary: Default getLabelDetection 200 response x-microcks-default: true value: JobStatus: SUCCEEDED Labels: [] LabelModelVersion: '3.0' '400': description: Invalid request. content: application/x-amz-json-1.1: schema: $ref: '#/components/schemas/ErrorResponse' security: - aws_signature: [] x-microcks-operation: delay: 0 dispatcher: FALLBACK components: schemas: StartLabelDetectionRequest: type: object required: - Video properties: Video: $ref: '#/components/schemas/Video' ClientRequestToken: type: string MinConfidence: type: number format: float example: 75.0 NotificationChannel: $ref: '#/components/schemas/NotificationChannel' JobTag: type: string Features: type: array items: type: string Settings: type: object GetLabelDetectionResponse: type: object properties: JobStatus: type: string enum: - IN_PROGRESS - SUCCEEDED - FAILED example: SUCCEEDED StatusMessage: type: string VideoMetadata: type: object NextToken: type: string Labels: type: array items: type: object properties: Timestamp: type: integer Label: $ref: '#/components/schemas/Label' LabelModelVersion: type: string JobId: type: string ErrorResponse: type: object description: Standard error response from the Amazon Rekognition API. properties: __type: type: string description: The type of exception. example: InvalidParameterException message: type: string description: Human-readable description of the error. example: Request has invalid parameters. NotificationChannel: type: object description: Amazon SNS topic for completion status notifications. properties: SNSTopicArn: type: string description: The Amazon SNS topic ARN to post completion status. example: arn:aws:sns:us-east-1:123456789012:AmazonRekognitionTopic RoleArn: type: string description: The ARN of an IAM role that gives Rekognition publishing permissions. example: arn:aws:iam::123456789012:role/RekognitionRole Video: type: object description: Video file stored in an Amazon S3 bucket. properties: S3Object: $ref: '#/components/schemas/S3Object' GetVideoJobResultRequest: type: object required: - JobId properties: JobId: type: string description: Job identifier from the start job call. example: 1234567890abcdef MaxResults: type: integer example: 100 NextToken: type: string SortBy: type: string enum: - NAME - TIMESTAMP AggregateBy: type: string enum: - TIMESTAMPS - SEGMENTS BoundingBox: type: object description: Identifies the bounding box around the label, face, text or object. properties: Width: type: number format: float description: Width of the bounding box as a ratio of the overall image width. example: 0.35 Height: type: number format: float description: Height of the bounding box as a ratio of the overall image height. example: 0.45 Left: type: number format: float description: Left coordinate of the bounding box as a ratio of overall image width. example: 0.1 Top: type: number format: float description: Top coordinate of the bounding box as a ratio of overall image height. example: 0.05 S3Object: type: object description: Provides the S3 bucket name and object name. properties: Bucket: type: string description: Name of the S3 bucket. example: my-images-bucket Name: type: string description: S3 object key name. example: images/photo.jpg Version: type: string description: S3 object version ID if versioning is enabled. example: v1 StartVideoJobResponse: type: object properties: JobId: type: string description: The identifier for the video analysis job. example: 1234567890abcdef Label: type: object description: Structure containing details about the detected label. properties: Name: type: string description: The name of the label detected in the image or video. example: Person Confidence: type: number format: float description: Level of confidence for the label. example: 98.5 Instances: type: array description: Bounding boxes for each instance of the detected object. items: type: object properties: BoundingBox: $ref: '#/components/schemas/BoundingBox' Confidence: type: number format: float Parents: type: array description: The parent labels for a label in the taxonomy hierarchy. items: type: object properties: Name: type: string securitySchemes: aws_signature: type: apiKey in: header name: Authorization description: AWS Signature Version 4. Include the Authorization header with AWS4-HMAC-SHA256 signature.