Statistical visual feature indexes in video retrieval

Authors:
Xiangming Mu;Gary Marchionini
Affiliations:
University of North Carolina at Chapel Hill;University of North Carolina at Chapel Hill
Venue:
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Year:
2003

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Abstract

Four statistical visual feature indexes are proposed: SLM (Shot Length Mean), the average length of each shot in a video; SLD (Shot Length Deviation), the standard deviation of shot lengths for a video; ONM (Object Number Mean), the average number of objects per frame of the video; and OND (Object Number Deviation), the standard deviation of the number of objects per frame across the video. Each of these indexes provides a unique perspective on video content. A novel video retrieval interface has been developed as a platform to examine our assumption that the new indexes facilitate some video retrieval tasks. Initial feedback is promising and formal experiments are planned.