This thesis presents methods and a system for video search over the internet
or the intranet. The objective is to design a real time and automated video clustering and search system that provides users of the search engine the most relevant
videos available that are responsive to a query at a particular moment in time, and
supplementary information that may also be useful. The thesis highlights methods
to mitigate the effect of the semantic gap faced by current content based video search
approaches. A context-sensitive video ranking scheme is used, wherein the context is
generated in an automated manner.
| Identifer | oai:union.ndltd.org:GATECH/oai:smartech.gatech.edu:1853/33824 |
| Date | 07 April 2010 |
| Creators | Bahga, Arshdeep |
| Publisher | Georgia Institute of Technology |
| Source Sets | Georgia Tech Electronic Thesis and Dissertation Archive |
| Detected Language | English |
| Type | Thesis |
Page generated in 0.0016 seconds