MOOC video: a video segment search engine for MOOCs
Singh, Parimal Deep
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https://hdl.handle.net/2142/78676
Description
Title
MOOC video: a video segment search engine for MOOCs
Author(s)
Singh, Parimal Deep
Issue Date
2015-04-28
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
Massive Open Online Course (MOOC)
video
search engine
Abstract
For my thesis, under the guidance of Professor Chengxiang Zhai, I have worked on building a search system for MOOC, which will give video results to users for the queries that they make. Whenever the user makes a search from the client, video results will be fetched from the server and displayed to the user. The user will also be pointed to relevant location or segment in the video. We get the text from the video, which is then indexed and used by the search engine. The search can be performed from the web interface, which shows the user videos results from the point of relevance. The results are also evaluated against a test data.
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