2 research outputs found
MOOC video: a video segment search engine for MOOCs
No full textFor 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.Submission published under a 24 month embargo labeled 'U of I only', the embargo will last until 2017-05-01The student, Parimal Singh, accepted the attached license on 2015-04-25 at 18:10.The student, Parimal Singh, submitted this Thesis for approval on 2015-04-25 at 18:29.This Thesis was approved for publication on 2015-04-28 at 08:14.DSpace SAF Submission Ingestion Package generated from Vireo submission #8109 on 2015-07-22 at 14:18:54Made available in DSpace on 2015-07-22T22:33:56Z (GMT). No. of bitstreams: 2
SINGH-THESIS-2015.pdf: 923806 bytes, checksum: e4574bdb6bc3271ab097ba38b2e2c3db (MD5)
LICENSE.txt: 4210 bytes, checksum: e89a6dcd62f8a128d9f50ce66fe81e6d (MD5)
Previous issue date: 2015-04-28Embargo set by: Seth Robbins for item 79917
Lift date: 2017-07-22T22:34:16Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 79917 on 2017-07-23T09:15:34Z
