Table Of Contents

Feedback

User Guide

First time using the AWS CLI? See the User Guide for help getting started.

Note: You are viewing the documentation for an older major version of the AWS CLI (version 1).

AWS CLI version 2, the latest major version of AWS CLI, is now stable and recommended for general use. To view this page for the AWS CLI version 2, click here. For more information see the AWS CLI version 2 installation instructions and migration guide.

[ aws . rekognition ]

start-segment-detection

Description

Starts asynchronous detection of segment detection in a stored video.

Amazon Rekognition Video can detect segments in a video stored in an Amazon S3 bucket. Use Video to specify the bucket name and the filename of the video. StartSegmentDetection returns a job identifier (JobId ) which you use to get the results of the operation. When segment detection is finished, Amazon Rekognition Video publishes a completion status to the Amazon Simple Notification Service topic that you specify in NotificationChannel .

You can use the Filters ( StartSegmentDetectionFilters ) input parameter to specify the minimum detection confidence returned in the response. Within Filters , use ShotFilter ( StartShotDetectionFilter ) to filter detected shots. Use TechnicalCueFilter ( StartTechnicalCueDetectionFilter ) to filter technical cues.

To get the results of the segment detection operation, first check that the status value published to the Amazon SNS topic is SUCCEEDED . if so, call GetSegmentDetection and pass the job identifier (JobId ) from the initial call to StartSegmentDetection .

For more information, see Detecting Video Segments in Stored Video in the Amazon Rekognition Developer Guide.

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.

Synopsis

  start-segment-detection
--video <value>
[--client-request-token <value>]
[--notification-channel <value>]
[--job-tag <value>]
[--filters <value>]
--segment-types <value>
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]

Options

--video (structure)

Video file stored in an Amazon S3 bucket. Amazon Rekognition video start operations such as StartLabelDetection use Video to specify a video for analysis. The supported file formats are .mp4, .mov and .avi.

S3Object -> (structure)

The Amazon S3 bucket name and file name for the video.

Bucket -> (string)

Name of the S3 bucket.

Name -> (string)

S3 object key name.

Version -> (string)

If the bucket is versioning enabled, you can specify the object version.

Shorthand Syntax:

S3Object={Bucket=string,Name=string,Version=string}

JSON Syntax:

{
  "S3Object": {
    "Bucket": "string",
    "Name": "string",
    "Version": "string"
  }
}

--client-request-token (string)

Idempotent token used to identify the start request. If you use the same token with multiple StartSegmentDetection requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidently started more than once.

--notification-channel (structure)

The ARN of the Amazon SNS topic to which you want Amazon Rekognition Video to publish the completion status of the segment detection operation.

SNSTopicArn -> (string)

The Amazon SNS topic to which Amazon Rekognition to posts the completion status.

RoleArn -> (string)

The ARN of an IAM role that gives Amazon Rekognition publishing permissions to the Amazon SNS topic.

Shorthand Syntax:

SNSTopicArn=string,RoleArn=string

JSON Syntax:

{
  "SNSTopicArn": "string",
  "RoleArn": "string"
}

--job-tag (string)

An identifier you specify that's returned in the completion notification that's published to your Amazon Simple Notification Service topic. For example, you can use JobTag to group related jobs and identify them in the completion notification.

--filters (structure)

Filters for technical cue or shot detection.

TechnicalCueFilter -> (structure)

Filters that are specific to technical cues.

MinSegmentConfidence -> (float)

Specifies the minimum confidence that Amazon Rekognition Video must have in order to return a detected segment. Confidence represents how certain Amazon Rekognition is that a segment is correctly identified. 0 is the lowest confidence. 100 is the highest confidence. Amazon Rekognition Video doesn't return any segments with a confidence level lower than this specified value.

If you don't specify MinSegmentConfidence , GetSegmentDetection returns segments with confidence values greater than or equal to 50 percent.

ShotFilter -> (structure)

Filters that are specific to shot detections.

MinSegmentConfidence -> (float)

Specifies the minimum confidence that Amazon Rekognition Video must have in order to return a detected segment. Confidence represents how certain Amazon Rekognition is that a segment is correctly identified. 0 is the lowest confidence. 100 is the highest confidence. Amazon Rekognition Video doesn't return any segments with a confidence level lower than this specified value.

If you don't specify MinSegmentConfidence , the GetSegmentDetection returns segments with confidence values greater than or equal to 50 percent.

Shorthand Syntax:

TechnicalCueFilter={MinSegmentConfidence=float},ShotFilter={MinSegmentConfidence=float}

JSON Syntax:

{
  "TechnicalCueFilter": {
    "MinSegmentConfidence": float
  },
  "ShotFilter": {
    "MinSegmentConfidence": float
  }
}

--segment-types (list)

An array of segment types to detect in the video. Valid values are TECHNICAL_CUE and SHOT.

(string)

Syntax:

"string" "string" ...

Where valid values are:
  TECHNICAL_CUE
  SHOT

--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See 'aws help' for descriptions of global parameters.

Output

JobId -> (string)

Unique identifier for the segment detection job. The JobId is returned from StartSegmentDetection .