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论文类型：会议论文

发表时间：2010-09-23

收录刊物：EI、CPCI-S、Scopus

关键字：object categories; foreground distribution; matting; bag-of-features

摘要：This paper presents a novel methodology for recognizing object categories based on the estimation of image foreground distribution. We offer insight into how the matting technique can be applied in the image retrieval field and how spatial cues can be incorporated into bag-of-features approach in a proper way. The spatial cues indicate distribution of foreground objects or background environments. In our approach, a formalized framework is offered: an image descriptor is defined as a weighted concatenation of features extracted on different patches of an image, and the weights here are set to be foreground distribution values in corresponding patches. Experiments on challenging object categorization image sets demonstrate the effectiveness of this framework.