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Multi-Modal Information Retrieval with a Semantic View Mechanism
Taipei, Taiwan March 25-March 30
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AINA.2005.25519th International Conference on Adva ...
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Qing Li, City University of Hong Kong
Jun Yang, Carnegie Mellon University
Yueting Zhuang, Zhejiang University
The explosive growth of multimedia information on the Web in recent years calls for an elegant means to model and manage multimedia content to facilitate semantic-level access and sharing across diversified applications. From the perspective of retrieval, the semantics of multimedia data features context-dependency and media-independency; both are inadequately supported by the state-of-the-art data modeling technology. In this paper, we address this problem by advocating MediaView as an extended object-oriented view mechanism to bridge the "semantic gap" between conventional databases and semantics-intensive multimedia applications. This mechanism captures the dynamic semantics of multimedia using a modeling construct named media view (MV), which formulates a customized context where heterogeneous media objects with similar/related semantics are characterized by additional properties and user-defined semantic relationships. View operators are proposed for the manipulation and derivation of individual MVs which can be fit into the desired real-life scenarios automatically. The usefulness and elegancy of MediaView are demonstrated by its applications in various (subjective) activities supporting multi-modal retrieval.
Index Terms:
media view, context-dependency, multi-modal retrieval
Citation:
Qing Li, Jun Yang, Yueting Zhuang, "Multi-Modal Information Retrieval with a Semantic View Mechanism," aina, vol. 1, pp.133-138, 19th International Conference on Advanced Information Networking and Applications (AINA'05) Volume 1 (AINA papers), 2005
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