Contextual Noise Reduction for Domain Adaptive Near-Duplicate Retrieval on Merchandize Images.

IEEE Transactions on Image Processing(2017)

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摘要
In this paper, we have proposed a novel method, which utilizes the contextual relationship among visual words for reducing the quantization errors in near-duplicate image retrieval (NDR). Instead of following the track of conventional NDR techniques, which usually search new solutions by borrowing ideas from the text domain, we propose to model the problem back to image domain, which results in a ...
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关键词
Visualization,Lips,Noise reduction,Quantization (signal),Context,Anisotropic magnetoresistance,Indexing
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