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	Towards Accurate Visual Information Estimation with Entropy of Primitive
	Zhang, Xiang ; Wang, Shiqi ; Ma, Siwei ; Xiong, Ruiqin ; Gao, Wen
	2015
关键词	SIMILARITY
英文摘要	Recently, a novel concept referred to as Entropy of Primitive (EoP) has been proposed for evaluating the visual information of natural images. The idea originates from the sparse representation, which has been successfully applied in a wide variety of signal processing and analysis tasks. This is because of the high efficiency of sparse representation in dealing with rich, varied and directional information contained in the natural scene. In this paper, we further explore the EoP to bridge the sparse representation and visual perception. Sparse primitives are divided into three categories depending on their visual importance. Accordingly the visual signal is decomposed into structural and non-structural layers. It is found that the image sparse representation is highly relevant with the hierarchical visual information construction process in representing the natural scene. We evaluate the efficiency and robustness of the EoP in real applications, including surveillance video and shot boundary detection.; EI; CPCI-S(ISTP); x_zhang@pku.edu.cn; sqwang@pku.edu.cn; swma@pku.edu.cn; rqxiong@pku.edu.cn; wgao@pku.edu.cn; 1046-1049; 2015-July
语种	英语
出处	2015 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS)
DOI标识	10.1109/ISCAS.2015.7168816
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/423732]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Zhang, Xiang,Wang, Shiqi,Ma, Siwei,et al. Towards Accurate Visual Information Estimation with Entropy of Primitive. 2015-01-01.

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