Technologies for context based video search
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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.