Conference Paper

Search for flash movies on the web

DOI: 10.1109/WISEW.2002.1177870 Conference: Web Information Systems Engineering (Workshops), 2002. Proceedings of the Third International Conference on
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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.
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    ABSTRACT: Flash ™ is experiencing a breathtaking growth and has become one of the prevailing media formats on the Web. Unfortunately, little research effort has been dedicated to the retrieval of Flash movies by content, which is critical to the utilization of the enormous Flash resource. Unlike text or image, a Flash movie contains a number of components in different types such as objects, events and interactions, with the number ranging from tens to hundreds. How to index and store these components effectively and efficiently in a database is a big challenge. In this paper, we propose a novel star schema for database design and associated facilities, based on the movie's characteristics at object, event and interaction levels. Experiment results are given to show that our approach can retrieve more relevant movies, efficiently use the storage space and speed up the retrieval process.
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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.
    Proceedings of the 13th international conference on World Wide Web - Alternate Track Papers & Posters, WWW 2004, New York, NY, USA, May 17-20, 2004; 01/2004
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