Starts asynchronous detection of inappropriate, unwanted, or offensive content in a stored video. For a list of moderation labels in Amazon Rekognition, see Using the image and video moderation APIs.
See https://www.paws-r-sdk.com/docs/rekognition_start_content_moderation/ for full documentation.
rekognition_start_content_moderation(
Video,
MinConfidence = NULL,
ClientRequestToken = NULL,
NotificationChannel = NULL,
JobTag = NULL
)[required] The video in which you want to detect inappropriate, unwanted, or offensive content. The video must be stored in an Amazon S3 bucket.
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
MinConfidence,
get_content_moderation returns
labels with confidence values greater than or equal to 50 percent.
Idempotent token used to identify the start request. If you use the same
token with multiple
start_content_moderation
requests, the same JobId is returned. Use ClientRequestToken to
prevent the same job from being accidently started more than once.
The Amazon SNS topic ARN that you want Amazon Rekognition Video to publish the completion status of the content analysis to. The Amazon SNS topic must have a topic name that begins with AmazonRekognition if you are using the AmazonRekognitionServiceRole permissions policy to access the topic.
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.