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Modeling Data and User Characteristics by Peer Indexing in Content-based Image Retrieval

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Modeling Data and User Characteristics by Peer Indexing in Content-based Image Retrieval
: Modeling the characteristics of specific images and individual users is a critical issue in content-based image retrieval but insufficiently addressed by the current retrieval approaches. In this paper, we propose a novel approach to dataadaptive and user-adaptive image retrieval based on the idea of peer indexing—describing an image through semantically relevant peer images. Specifically, we associate each image with two-level peer index that models the “data characteristics” of the image as well as the “user characteristics” of individual users with respect to this image. Based on two-level image peer indices, retrieval parameters including query vectors and similarity metric can be optimized towards both data and user characteristics by applying the pseudo feedback strategy. A cooperative framework is proposed under which peer indices and image visual features are integrated to facilitate data- and useradaptive image retrieval. Extensive experiments have been conducted o...
Jun Yang 0003, Qing Li, Yueting Zhuang
Added 05 Jul 2010
Updated 05 Jul 2010
Type Conference
Year 2003
Where MMM
Authors Jun Yang 0003, Qing Li, Yueting Zhuang
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