What Can Expressive Semantics Tell: Retrieval Model for a Flash-Movie Search Engine

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.

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