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  • About 
    • Video indexer builds upon media AI technologies to make it easier to extract insights from videos, forms of content discovery such as searching for spoken words, faces, characters, and emotions.
    • Azure Video Indexer produces a number of data points relating to a video, as well as a selection of artifacts, among which OCR and key frames are relevant to MGMs for video OCR and shot detection.
    • This MGM should be used as the depended MGM which outputs to Azure Video OCR and/or Azure Shot Detection.
  • Source Code
    • galaxy/tools/amp_video/azure_video_indexer.xml : This is the configuration file that details the tools usage, its inputs, outputs, version, and other things.
    • galaxy/tools/amp_video/azure_video_indexer.py : This is a python wrapper to submit the video to Azure Video Indexer, check the status and retrieve the specified outputs.
    • galaxy/config/azure.ini: This is the configuration file for Azure Video Indexer, specifying the account ID, API Key, and location of the S3 bucket where the input/output files are stored.
  • Running 
    • The tool can be invoked from Galaxy UI as other tools. User needs to supply Azure account information and as well as input data in the form of a video file.
  • Parameters
    • input_video: the video file to be passed through the indexer.
    • include_ocr: flag to indicate whether the outputs should include OCR artifacts or not (note that shot detection results are included in the main output and no artifact is needed).
    • location: The region video is stored in Azure (Trial, US EAST 2, US WEST 2)
  • Output
    • azure_video_index: The main video indexer result JSON
    • azure_artifact_ocr: The Azure Video OCR artifact JSON
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