rekognition_start_text_detection: Starts asynchronous detection of text in a stored video
In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

rekognition_start_text_detection

R Documentation

Starts asynchronous detection of text in a stored video

Starts asynchronous detection of text in a stored video.

rekognition_start_text_detection(
  Video,
  ClientRequestToken = NULL,
  NotificationChannel = NULL,
  JobTag = NULL,
  Filters = NULL
)

`Video`	[required] Video file stored in an Amazon S3 bucket. Amazon Rekognition video start operations such as `start_label_detection` use `Video` to specify a video for analysis. The supported file formats are .mp4, .mov and .avi.
`ClientRequestToken`	Idempotent token used to identify the start request. If you use the same token with multiple `start_text_detection` requests, the same `JobId` is returned. Use `ClientRequestToken` to prevent the same job from being accidentaly started more than once.
`NotificationChannel`	The Amazon Simple Notification Service topic to which Amazon Rekognition publishes the completion status of a video analysis operation. For more information, see Calling Amazon Rekognition Video operations. Note that 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. For more information, see Giving access to multiple Amazon SNS topics.
`JobTag`	An identifier returned in the completion status published by your Amazon Simple Notification Service topic. For example, you can use `JobTag` to group related jobs and identify them in the completion notification.
`Filters`	Optional parameters that let you set criteria the text must meet to be included in your response.