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	GENERATING VOCABULARY FOR GLOBAL FEATURE REPRESENTATION TOWARDS COMMERCE IMAGE RETRIEVAL
	Chen, Zhang ; Duan, Ling-Yu ; Wang, Chunyu ; Huang, Tiejun ; Gao, Wen
	2011
关键词	Image retrieval Global feature representation codebook vocabulary tree Commerce images
英文摘要	This paper studies the problem of retrieving images by color, texture and shape in the context of visual assisted product recommendation in E-commerce sites. Different from general CBIR applications, commerce image retrieval puts more emphasis on outlier-free ranking (top N) to gain perfect user experience. We suggest to extend the bag-of-words (BoW) model to global feature characterization rather than commonly used histogram based low-level feature representation. Although BoW is a common practice in object recognition, we argue generating feature vocabulary is useful to address the global feature characterization that could be elegantly adapted to domain specific commerce image search. The representation is compact and discriminative, which may adapt with individual websites. Quantitative as well as subjective evaluation demonstrates the functionality of the proposed method. In practice, the vocabulary based global features greatly reduce outliers in top rank images, so that desirable user experience can be obtained in E-Commerce applications.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000298962500027&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Engineering, Electrical & Electronic; Imaging Science & Photographic Technology; EI; CPCI-S(ISTP); 1
语种	英语
DOI标识	10.1109/ICIP.2011.6115607
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/292938]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Chen, Zhang,Duan, Ling-Yu,Wang, Chunyu,et al. GENERATING VOCABULARY FOR GLOBAL FEATURE REPRESENTATION TOWARDS COMMERCE IMAGE RETRIEVAL. 2011-01-01.

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