Combined-media video tracking for summarization

Abstract

Video summarization is receiving increasing attention due to the large amount of video content made available on the Internet. In this paper we present a novel idea to track video from multiple sources for video summarization. An algorithm that takes advantage of both video and close caption text information for video scene clustering is described. Experimental results are given followed by discussion on future directions.