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To select a workflow, click on the "Select Workflow" dropdown menu, which will provide a list of available workflows running on Galaxy. Once the workflow has been selected, the "submit to workflow" button will enable, allowing you to submit the files. Once one or more files have been submitted, AMP will display a message telling you how many jobs were successfully submitted to the workflow, and how many failed. Additionally, if one or more files fail, the message will display detailed information about the file(s), including the collection name, item name, file ID, filename, and file label. If one or more files fail, please let AMPPD staff know, providing the information given by the error message.

There are presently six five working workflows: Transcript-NER-HMGM, Transcript-NER-no Human MGM, NER HMGM for Corrected Transcripts, Scene Detection with Contact Sheets, and Contact Sheets Only. The primary difference between the first two is that the former has human intervention at several steps to improve performance/the quality of the final deliverables. These workflows achieve two primary goals: generating a transcript (whether the transcript is human-edited or not), and recognizing named entities (people, places, etc.) in said transcript. The third, related to the former two, skips the transcript steps entirely, going directly to the named entity recognition steps. Scene Detection with Contact Sheets creates a contact sheet of video content by first automatically detecting shots using a Python library called PySceneDetect, then taking a frame in the middle of each of the said shots and placing them in order in a contact sheet. Contact Sheets Only creates only a contact sheet, taking frames from the video according to an arbitrary time interval. Additionally, HPC (high-performance computing) workflows are currently being tested in hopes of processing large numbers of files much more quickly.