Starts asynchronous detection of unsafe content in a stored video
Starts asynchronous detection of unsafe content in a stored video.
Amazon Rekognition Video can moderate content in a video stored in an
Amazon S3 bucket. Use Video to specify the bucket name and the filename
of the video.
start_content_moderation
returns a job identifier (JobId
) which you use to get the results of
the analysis. When unsafe content analysis is finished, Amazon
Rekognition Video publishes a completion status to the Amazon Simple
Notification Service topic that you specify in NotificationChannel
.
To get the results of the unsafe content analysis, first check that the
status value published to the Amazon SNS topic is SUCCEEDED
. If so,
call get_content_moderation
and
pass the job identifier (JobId
) from the initial call to
start_content_moderation
.
For more information, see Detecting Unsafe Content in the Amazon Rekognition Developer Guide.
rekognition_start_content_moderation(Video, MinConfidence, ClientRequestToken, NotificationChannel, JobTag)
Video |
[required] The video in which you want to detect unsafe content. The video must be stored in an Amazon S3 bucket. |
MinConfidence |
Specifies the minimum confidence that Amazon Rekognition must have in
order to return a moderated content label. Confidence represents how
certain Amazon Rekognition is that the moderated content is correctly
identified. 0 is the lowest confidence. 100 is the highest confidence.
Amazon Rekognition doesn't return any moderated content labels with a
confidence level lower than this specified value. If you don't specify
|
ClientRequestToken |
Idempotent token used to identify the start request. If you use the same
token with multiple
|
NotificationChannel |
The Amazon SNS topic ARN that you want Amazon Rekognition Video to publish the completion status of the unsafe content analysis to. |
JobTag |
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 |
A list with the following syntax:
list( JobId = "string" )
svc$start_content_moderation( Video = list( S3Object = list( Bucket = "string", Name = "string", Version = "string" ) ), MinConfidence = 123.0, ClientRequestToken = "string", NotificationChannel = list( SNSTopicArn = "string", RoleArn = "string" ), JobTag = "string" )
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