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Salient region-based image retrieval is one of the hotspots in the domain of content-based image retrieval; however the metrics about region saliency is not in the uniform frame. The research on visual attention has shown that the factors including color, texture, scale and position influence on visual perception mostly. Consequently, the algorithm of salient region extraction is proposed by using...
Content based image retrieval is a current research focus at home and abroad. With the increasing popularity of clothing e-commerce, the requirements of image based clothing retrieval are increasingly urgent. The clothing style is the essential characteristics. The paper presents the method of contour feature extraction, expression and matching to implement clothing image retrieval comprehensively...
Over the past decade, multiple-instance learning (MIL) has been successfully utilized to model the localized content-based image retrieval (CBIR) problem, in which a bag corresponds to an image and an instance corresponds to a region in the image. However, existing feature representation schemes are not effective enough to describe the bags in MIL, which hinders the adaptation of sophisticated single-instance...
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