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Content-Based Image Retrieval CBIR has become one of the most active research areas. Researchers focus on introducing manifold learning method into CBIR due to its advantage of learning user’s semantic conception. In this paper, we review the existing image retrieval algorithms based on manifold ranking and studied the issues of them. Particularly, we propose a novel image retrieval algorithm based on reselect manifold ranking to save online response time and improve the precision for image retrieval. The experimental results on image database demonstrate the effectiveness of our proposed algorithm.


manifold ranking; content-based image retrieval; CBIR; manifold learning

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Autor: Li Liu, Dan Tao, Zhen Liu, Ying Zou



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