What can expressive semantics tell: retrieval model for a flash-movie search engine

Authors:
Dawei Ding;Jun Yang;Qing Li;Wenyin Liu;Liping Wang
Affiliations:
Dept. of Computer Engineering and Information Technology, City University of Hong Kong, HKSAR, China;Language Technology Institute, School of Computer Science, Carnegie Mellon University;Dept. of Computer Engineering and Information Technology, City University of Hong Kong, HKSAR, China;Dept. of Computer Science, City University of Hong Kong, HKSAR, China;Dept. of Computer Engineering and Information Technology, City University of Hong Kong, HKSAR, China
Venue:
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Year:
2005

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Abstract

Flash, as a multimedia format, becomes more and more popular on the Web. However, previous works on Flash are unpractical to build a content-based Flash search engine. To address this problem, our paper proposes expressive semantics (ETS model) for bridging the gap between low-level features and user queries. A Flash search engine is built based on the expressive semantics of Flash movies and our experiment results confirm that expressive semantics is a promising approach to understanding and hence searching Flash movies more efficiently.