Abstract:To maximally improve the precision among top-ranked images returned by a web image search engine without putting extra burden on the user, we propose in this paper a novel co-ranking framework which will re-rank the retrieved images to move the irrelevant ones to the tail of the list. The characteristic of the proposed framework can be summarized as follows: (1) making use of the decisions from multi-view of images to boost retrieval performance; (2) generalizing present multi-view algorithms which need labele… Show more
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