Towards a flash search engine based on expressive semantics

Authors:
Dawei Ding;Jun Yang;Qing Li;Liping Wang;Liu Wenyin
Affiliations:
City University of Hong Kong, HKSAR, China;Carnegie Mellon University, Pittsburgh, PA;City University of Hong Kong, HKSAR, China;City University of Hong Kong, HKSAR, China;City University of Hong Kong, HKSAR, China
Venue:
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Year:
2004

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Abstract

Flash, as a multimedia format, becomes more and more popular on the Web. However, previous works on Flash are totally based on low-level features, which make it unpractical to build a content-based Flash search engine. To address this problem, our paper proposes expressive semantics for bridging the gap between low-level features and user queries. To smoothly incorporate expressive semantics into a search engine, an eigenvector-based model is devised to map a user query to expressive semantics with the aid of link analysis method. Our experiment results confirm that expressive semantics is a promising approach to understanding and hence searching Flash movies more efficiently.