Amazon Rekognition

{'ModerationModelVersion': 'string'}

Gets the content moderation analysis results for a Amazon Rekognition Video analysis started by StartContentModeration.

Content moderation analysis of a video is an asynchronous operation. You start analysis by calling StartContentModeration. which returns a job identifier ( JobId). When analysis finishes, Amazon Rekognition Video publishes a completion status to the Amazon Simple Notification Service topic registered in the initial call to StartContentModeration. To get the results of the content moderation analysis, first check that the status value published to the Amazon SNS topic is SUCCEEDED. If so, call GetCelebrityDetection and pass the job identifier ( JobId) from the initial call to StartCelebrityDetection.

For more information, see Working with Stored Videos in the Amazon Rekognition Devlopers Guide.

GetContentModeration returns detected content moderation labels, and the time they are detected, in an array, ModerationLabels, of ContentModerationDetection objects.

By default, the moderated labels are returned sorted by time, in milliseconds from the start of the video. You can also sort them by moderated label by specifying NAME for the SortBy input parameter.

Since video analysis can return a large number of results, use the MaxResults parameter to limit the number of labels returned in a single call to GetContentModeration. If there are more results than specified in MaxResults, the value of NextToken in the operation response contains a pagination token for getting the next set of results. To get the next page of results, call GetContentModeration and populate the NextToken request parameter with the value of NextToken returned from the previous call to GetContentModeration.

For more information, see Detecting Unsafe Content in the Amazon Rekognition Developer Guide.

See also: AWS API Documentation

Request Syntax

client.get_content_moderation(
    JobId='string',
    MaxResults=123,
    NextToken='string',
    SortBy='NAME'|'TIMESTAMP'
)

type JobId:

string

param JobId:

[REQUIRED]

The identifier for the content moderation job. Use JobId to identify the job in a subsequent call to GetContentModeration.

type MaxResults:

integer

param MaxResults:

Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.

type NextToken:

string

param NextToken:

If the previous response was incomplete (because there is more data to retrieve), Amazon Rekognition returns a pagination token in the response. You can use this pagination token to retrieve the next set of content moderation labels.

type SortBy:

string

param SortBy:

Sort to use for elements in the ModerationLabelDetections array. Use TIMESTAMP to sort array elements by the time labels are detected. Use NAME to alphabetically group elements for a label together. Within each label group, the array element are sorted by detection confidence. The default sort is by TIMESTAMP.

rtype:

dict

returns:

Response Syntax

{
    'JobStatus': 'IN_PROGRESS'|'SUCCEEDED'|'FAILED',
    'StatusMessage': 'string',
    'VideoMetadata': {
        'Codec': 'string',
        'DurationMillis': 123,
        'Format': 'string',
        'FrameRate': ...,
        'FrameHeight': 123,
        'FrameWidth': 123
    },
    'ModerationLabels': [
        {
            'Timestamp': 123,
            'ModerationLabel': {
                'Confidence': ...,
                'Name': 'string',
                'ParentName': 'string'
            }
        },
    ],
    'NextToken': 'string',
    'ModerationModelVersion': 'string'
}

Response Structure

• (dict) --

  • JobStatus (string) --

    The current status of the content moderation job.

  • StatusMessage (string) --

    If the job fails, StatusMessage provides a descriptive error message.

  • VideoMetadata (dict) --

    Information about a video that Amazon Rekognition analyzed. Videometadata is returned in every page of paginated responses from GetContentModeration.

    • Codec (string) --

      Type of compression used in the analyzed video.

    • DurationMillis (integer) --

      Length of the video in milliseconds.

    • Format (string) --

      Format of the analyzed video. Possible values are MP4, MOV and AVI.

    • FrameRate (float) --

      Number of frames per second in the video.

    • FrameHeight (integer) --

      Vertical pixel dimension of the video.

    • FrameWidth (integer) --

      Horizontal pixel dimension of the video.

  • ModerationLabels (list) --

    The detected moderation labels and the time(s) they were detected.

    • (dict) --

      Information about a moderation label detection in a stored video.

      • Timestamp (integer) --

        Time, in milliseconds from the beginning of the video, that the moderation label was detected.

      • ModerationLabel (dict) --

        The moderation label detected by in the stored video.

        • Confidence (float) --

          Specifies the confidence that Amazon Rekognition has that the label has been correctly identified.

          If you don't specify the MinConfidence parameter in the call to DetectModerationLabels, the operation returns labels with a confidence value greater than or equal to 50 percent.

        • Name (string) --

          The label name for the type of content detected in the image.

        • ParentName (string) --

          The name for the parent label. Labels at the top level of the hierarchy have the parent label "".

  • NextToken (string) --

    If the response is truncated, Amazon Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of moderation labels.

  • ModerationModelVersion (string) --

    Version number of the moderation detection model that was used to detect unsafe content.