Method of Social Website Image Retrieval Based on Multi-feature Fusion

doi:10.3969/j.issn.1006-2475.2013.12.037

Abstract

Abstract: ecause of users’ non-professional and randomness, in the process of retrieval image, social website retrieval can not ideally generate sufficient result for people. In view of this situation, this paper proposes a method of image retrieval based on multi-feature fusion. According to the initial term of users input, the system offers users a set of candidate images, based on the user’s choice of target image, combining the low-level features of candidate images sets, community themes and label order, this paper constructs a candidate image multi-feature vector. The system can calculate the distance between the vector and the target image, submits the nearest image collection to user. Simulation experiments are done based on real data from Flickr website, and the test results prove that this method is effective.
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Key words: social website, image retrieval, color feature, community themes, label order
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GUO Hai-feng, LI Guang-shui, QIU Bin-ren . Method of Social Website Image Retrieval Based on Multi-feature Fusion[J]. Computer and Modernization, 2013, 12(12): 159-163.

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