A semantic model for flash retrieval using co-occurrence analysis

Authors:
Dawei Ding;Qing Li;Bo Feng;Liu Wenyin
Affiliations:
Zhejiang University, Hangzhou, China & City University of Hong Kong, HKSAR, China;City University of Hong Kong, HKSAR, China;City University of Hong Kong, HKSAR, China;City University of Hong Kong, HKSAR, China
Venue:
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Year:
2003

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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.