Towards a flash search engine based on expressive semantics

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 contentbased Flash search engine. To address this problem, our paper proposes expressive semantics for bridging the gap between lowlevel 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. Categories & Subject Descriptors: H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval ? retrieval models, search process, selection process. General Terms: Algorithms, Measurement, Performance, Experimentation

• Type: Conference
• Year: 2004
• Where: WWW
• Authors: Dawei Ding, Jun Yang 0003, Liping Wang, Qing Li, Wenyin Liu
• Keywords: Expressive Semantics, Flash Search Engine, Incorporate Expressive Semantics, Internet Technology, WWW 2004