Kaltura - How to Request Video Captions
On March 25, 2018, automated captions, powered by Cielo24, were enabled in Rutgers MediaSpace, powered by Kaltura. When a video is uploaded to MediaSpace via the standalone website or through Rutgers Canvas, Moodle, or Sakai captions are generated using automatic speech recognition. This service provides 70-95% accuracy. Video owners will need to review and edit their captions for accuracy.
If you are an instructor in a course that uses Moodle, Canvas, or Sakai you may wish to notify your students to report any errors to you. Include a note in your syllabus that all captions are machine-generated and to contact the instructor regarding inaccuracies.
(This is needed only for videos uploaded prior to April 2018)
From the video detail page, click on Actions below the video to expand the drop-down menu.
In the Tags: field, add captionasr to initiate captioning.
Click Save. The tag will disappear from the tag field after you save. This is expected behavior and your video has been tagged for machine captioning. Captioning takes one hour at minimum or up to five times the length of the video (e.g. a one hour video would complete in five hours).
These instructions are based on documentation provided by: It.umn.edu. (2018). Kaltura: Review and Edit Captions from Cielo24 | IT@UMN. [online] Available at: https://it.umn.edu/kaltura-review-edit-captions-cielo24 [Accessed 7 May 2018].
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