Keyword-Based Search and Ranking in NPTEL Lecture Videos

Information retrieval is one of the most important technologies of present times due to vast availability of information. Lots of systems with varying information are available through the Internet. Useful information can be retrieved from these systems. The Web is a crucial application available on the Internet. It provides a medium to study and learn various subjects in the education domain. Large amount of E-content is also available on internet sites like NPTEL, OCW, OCC, CORE, UNIVERSIA, TOCWC, KOCWC, RuOCW, BigBlueButton and YouTube. NPTEL has covered more than 600 courses which include recorded video lectures. There is no search engine available providing a mechanism to search content within these videos. All these monolithic lecture videos are around of an hour’s duration. Learners face difficulty when searching a keyword-relevant content in these videos. A keyword-based system to search within a single lecture video or across multiple videos is required to reduce the time to use this content. It will be useful to have an efficient information retrieval system helping many students to search the NPTEL content. In this study, a search and ranking system is proposed for the video content of NPTEL lectures.