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An Adaptive Time Reduction Technique for Video Lectures

Abstract Lecture videos are a widely used resource for learning. A simple way to create

videos is to record live lectures, but these videos end up being lengthy, include long

pauses and repetitive words making the viewing experience time consuming. While

pauses are useful in live learning environments where students take notes, I question

the value of pauses in video lectures. Techniques and algorithms that can shorten such

videos can have a huge impact in saving students’ time and reducing storage space.

I study this problem of shortening videos by removing long pauses and adaptively

modifying the playback rate by emphasizing the most important sections of the video

and its effect on the student community. The playback rate is designed in s... (more)
Created Date 2016
Contributor Purushothama Shenoy, Sreenivas (Author) / Amresh, Ashish (Advisor) / Femiani, John (Committee member) / Walker, Erin (Committee member) / Arizona State University (Publisher)
Subject Computer science
Type Masters Thesis
Extent 72 pages
Language English
Reuse Permissions All Rights Reserved
Note Masters Thesis Computer Science 2016
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis