Dawei Ding
ABSTRACT
Flash is experiencing a breathtaking growth and has become one of the prevailing media formats on the Web. Our goal is to exploit the enormous Flash resources by developing a model of content-based Flash retrieval. Towards this end, we introduce a novel approach for discovering semantic relationships among the co-occurrence patterns of elements in Flash movies. The proposed approach includes a three-layered structure to index the Flash movie, a query expansion procedure to improve the recall performance, and a relevance ranking procedure utilizing link analysis to improve the precision performance of Flash retrieval. Experiments show the potential of leveraging co-occurrence analysis of elements in the context of scenes for improving the performance of Flash retrieval.
- Macromedia Inc. <http://www.macromedia.com/>Google Scholar
- J. Yang, Q. Li, Liu W., Y. Zhuang. Search for Flash Movies on the Web, Prof. of the 3rd Int'l Conf. on Web Information Systems Engineering: Workshop on Mining for Enhanced Web Search (MEWS 2002), Singapore, 2002. Google ScholarDigital Library
- J. Zhai, J. Yang, Q. Li, Liu W., B. Feng. Rich Media Retrieval on the Web - a Multi-level Indexing Approach. Poster of WWW2003.Google Scholar
- JavaSWF. <http://www.anotherbigidea.com/javaswf>Google Scholar
- G.A. Miller, "WordNet: A Lexical Database for English", Comm. of the ACM, Vol. 38, No. 11, pp. 39--41, Nov. 1995. Google ScholarDigital Library
- D. Bordwell, K. Thompson, Film Art: An Introduction, 4th ed., McGraw-Hill, New York, 1993.Google Scholar
- J. Kleinberg. Authoritative sources in a hyperlinked environment. In Proceedings of the 9th Annual ACM-SIAM Symposium, pages 668--677, January 1998. Google ScholarDigital Library
- Gerard Salton, Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer, Addison-Wesley, 1989, Chapter 9. Google ScholarDigital Library
Index Terms
- A semantic model for flash retrieval using co-occurrence analysis
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