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.
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Ding, D., Yang, J., Li, Q., Liu, W., Wang, L. (2005). What Can Expressive Semantics Tell: Retrieval Model for a Flash-Movie Search Engine. In: Leow, WK., Lew, M.S., Chua, TS., Ma, WY., Chaisorn, L., Bakker, E.M. (eds) Image and Video Retrieval. CIVR 2005. Lecture Notes in Computer Science, vol 3568. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11526346_16
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DOI: https://doi.org/10.1007/11526346_16
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