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Visual pattern weighting for near-duplicate image retrieval

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4 Author(s)
Manni Duan ; University of Science and Technology of China, Hefei, 230027, China ; Xing Xie ; Xiuqing Wu ; Wei-Ying Ma

Recently, there has been growing interest in mining co-location visual patterns from a collection of images. To find a proper usage of visual patterns in near-duplicate image retrieval systems, we study a TF-IDF weighting function for visual patterns. We show usage of TF and IDF respectively in this weighting function. Experiments demonstrate that 1) visual patterns and words should be weighted separately; 2) visual patterns consist of more frequent visual words would be more important; 3) visual patterns should be given lower weight values than visual words in near-duplicate image retrieval tasks.

Published in:

2008 IEEE International Conference on Multimedia and Expo

Date of Conference:

June 23 2008-April 26 2008