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	Scene categorization with class extendibility and effective discriminative ability
	Lan, Zongy ; Su, Songzhi ; Chen, Shu-Yuan ; Li, Shaozi ; Su SZ(苏松志) ; Li SZ(李绍滋)
	2011
关键词	Classification (of information) Image retrieval Interactive computer systems
英文摘要	Conference Name:4th International Conference on Intelligent Interactive Multimedia Systems and Services, IIMSS 2011. Conference Address: Piraeus, Greece. Time:July 20, 2011 - July 22, 2011.; Most of the numerous studies of scene categorization assume a fixed number of classes, and none categorize images with efficient class extendibility while preserving discriminative ability. This capability is crucial for an effective image categorization system. The proposed scene categorization method provides category-specific visual-word construction and image representation. The proposed method is effective for several reasons. First, since the visual-word construction and image representation are category-specific, image features related to the original classes need not be recreated when new classes are added, which minimizes reconstruction overhead. Second, since the visual-word construction and image representation are category-specific, the corresponding learning model for classification has substantial discriminating power. Experimental results confirm that the accuracy of the proposed method is superior to existing methods when using single-type and single-scale features. ? 2011 Springer-Verlag Berlin Heidelberg.
语种	英语
出处	http://dx.doi.org/10.1007/978-3-642-22158-3_8
出版者	Springer
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86961]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Lan, Zongy,Su, Songzhi,Chen, Shu-Yuan,et al. Scene categorization with class extendibility and effective discriminative ability. 2011-01-01.

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