ABSTRACT
In this paper, we describe our system used to summarize BBC rushes, the TRECVID database. Our summarization process starts with shot boundary detection. Then we filter obtained shots to retain only useful ones. After that we try to localize from every retained shot the important parts (sub-shots). Finally, we select some of them to formulate the skim. The selection of sub-shots must respond to many criteria as redundancy removing, covering all important events of the original video sequence and not exceeding the upper duration. Genetic algorithms are naturally suited for doing incremental selection. We use it to do the selection of relevant subs-shots. We consider the summarization process as an optimization problem which takes into consideration all evoked criteria. The obtained results are encouraging.
- Lowe, D. G., Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91--110, 2004. Google ScholarDigital Library
- P. Over, P., Smeaton, A. F., and Awad, G. The TRECVID 2008 BBC rushes summarization evaluation pilot. In Proceedings of the TRECVID Workshop on Video Summarization (TVS'08), pages 1--20, New York, NY, October 2008. ACM Press. Google ScholarDigital Library
- Truong,B. T., and Venkatesh., S., Video abstraction: A systematic review and classification. ACM Transactions on Multimedia Computing, Communications and Applications (ACM TOMCCAP), 3(1), Jan 2007. Google ScholarDigital Library
- Ellouze, M., Karray, H. and Alimi, A., M. Genetic Algorithm For Summarizing News Stories. In Proceedings of international conference on computer vision theory and applications, pp. 303--308, March 2006.Google Scholar
- Wang, F., and Ngo, C. W., Rushes Video Summarization by Object and Event Understanding, TRECVID BBC Rushes Summarization Workshop at ACM Multimedia '07, September 2007. Google ScholarDigital Library
- Goldberg D. E., 1989, Genetic Algorithms in Search, Optimization, and Machine Learning Google ScholarDigital Library
- NIST, http://www-nlpir.nist.gov, Last Visited July 2008Google Scholar
Index Terms
- Regim, research group on intelligent machines, tunisia, at TRECVID 2008, BBC rushes summarization
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