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Partial-Duplicate Image Retrieval via Saliency-Guided Visual Matching
July-Sept. 2013 (vol. 20 no. 3)
pp. 13-23
Liang Li, Chinese Academy of Sciences
Shuqiang Jiang, Chinese Academy of Sciences
Zheng-Jun Zha, National University of Singapore
Zhipeng Wu, University of Tokyo
Qingming Huang, Chinese Academy of Sciences
This article proposes a novel partial-duplicate image-retrieval scheme based on saliency-guided visual matching, where the localization of duplicates is done simultaneously. The image is abstracted by visually salient and rich regions (VSRRs), which are of visual saliency and contain rich visual content. Furthermore, to refine the retrieval, a relative saliency ordering constraint is constructed that captures the robust relative saliency layout of the VSRRs. The authors propose an efficient algorithm to embed this constraint into the index system so as to speed up retrieval. Comparison experiments with state-of-the-art methods on five databases show the efficiency and effectiveness of the proposed approach.
Index Terms:
Multimedia communication,Image representation,Information retrieval,Information analysis,Media,visually salient and rich regions,VSRR,multimedia,image representation,saliency analysis,relative constraint,partial-duplicate image retrieval
Citation:
Liang Li, Shuqiang Jiang, Zheng-Jun Zha, Zhipeng Wu, Qingming Huang, "Partial-Duplicate Image Retrieval via Saliency-Guided Visual Matching," IEEE Multimedia, vol. 20, no. 3, pp. 13-23, July-Sept. 2013, doi:10.1109/MMUL.2013.15
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