MOOC video: a video segment search engine for MOOCs

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Singh, Parimal Deep

• Massive Open Online Course (MOOC)
• video
• search engine

Statement dc:rights

• Copyright 2015 Parimal Deep Singh

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/78676

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/78676