Start Text Detection

rekognition_start_text_detection

R Documentation

Starts asynchronous detection of text in a stored video

Description

Starts asynchronous detection of text in a stored video.

Amazon Rekognition Video can detect text in a video stored in an Amazon S3 bucket. Use Video to specify the bucket name and the filename of the video. start_text_detection returns a job identifier (JobId) which you use to get the results of the operation. When text detection 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 text detection operation, first check that the status value published to the Amazon SNS topic is SUCCEEDED. if so, call get_text_detection and pass the job identifier (JobId) from the initial call to start_text_detection.

Usage

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

Arguments

Video

[required]

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

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.

Value

A list with the following syntax:

list(
  JobId = "string"
)

Request syntax

svc$start_text_detection(
  Video = list(
    S3Object = list(
      Bucket = "string",
      Name = "string",
      Version = "string"
    )
  ),
  ClientRequestToken = "string",
  NotificationChannel = list(
    SNSTopicArn = "string",
    RoleArn = "string"
  ),
  JobTag = "string",
  Filters = list(
    WordFilter = list(
      MinConfidence = 123.0,
      MinBoundingBoxHeight = 123.0,
      MinBoundingBoxWidth = 123.0
    ),
    RegionsOfInterest = list(
      list(
        BoundingBox = list(
          Width = 123.0,
          Height = 123.0,
          Left = 123.0,
          Top = 123.0
        ),
        Polygon = list(
          list(
            X = 123.0,
            Y = 123.0
          )
        )
      )
    )
  )
)