Computer Science ›› 2005, Vol. 32 ›› Issue (12): 213-215.

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FANG Fang ,LI Jin-Long, WANG Xu-Fa (Department of Computer Science and Technology, University of Science and Technology of China, Hefei 230027)   

  • Online:2018-11-17 Published:2018-11-17

Abstract: One of the key issues in content-based image retrieval is the disparity between high-level semantic concepts and low-level image features. Relevance feedback is an effective technique to bridge “the great semantic gap”. A novel relevance feedback approach

Key words: Content-based image retrieval (CBIR), Relevance feedback, Multi-image query

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