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发布时间：2019-03-11

论文类型：会议论文

发表时间：2010-01-01

收录刊物：Scopus、EI

卷号：4

页面范围：297-300

摘要：Because single feature lacks in the universality in Content-based image retrieval, this paper presented a dynamic weights adjustment strategy, which combined features in image retrievaL First, utilizing the spatial distribution of color of local color histogram and scale-invariant of SIFT, feature vector contained more information. After that, utilizing the users' relevant retrieval, a new formula of calculating the weights of features was presented, which doesn't increase the quantity of computation and takes into account the preference of uses synchronously. Experimental results show that the method improves the results of retrieval comparison with the method of using single feature and permanent weights. ?2010 IEEE.