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Title:MOOC video: a video segment search engine for MOOCs
Author(s):Singh, Parimal Deep
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(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.
Issue Date:2015-04-28
Type:Thesis
URI:http://hdl.handle.net/2142/78676
Rights Information:Copyright 2015 Parimal Deep Singh
Date Available in IDEALS:2015-07-22
Date Deposited:May 2015


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