A Simplified Approach to Rushes Summarization

Abstract

In this paper we describe methods for video summarization
in the context of the TRECVID 2008 BBC Rushes Summarization task.
Color, motion, and audio features are used to segment, filter, and cluster the video.
We experiment with varying the segment similarity measure to improve the
joint clustering of segments with and without camera motion.
Compared to our previous effort for TRECVID 2007 we have reduced the
complexity of the summarization process as well as the visual complexity of the
summaries themselves. We find our objective (inclusion) performance to be competitive with systems
exhibiting similar subjective performance.