文献类型：期刊文献

英文题名：A computational model for object-based visual attention

作者：Zhang, Qiaorong[1]; Ren, Huiyu[1]

第一作者：张巧荣

通讯作者：Zhang, Q.

机构：[1] College of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou, China

第一机构：河南财经政法大学计算机与信息工程学院

年份：2011

卷号：6

期号：8

起止页码：23-34

外文期刊名：Journal of Convergence Information Technology

收录：EI(收录号：20113614314281);Scopus(收录号：2-s2.0-80052425149)

语种：英文

外文关键词：Computation theory - Computational methods - Visualization

摘要：Computational model for object-based visual attention is a hot research field. A computational model of object-based visual attention is proposed in this paper. This model mainly includes three key technologies which are perceptual objects extraction, attention value calculation of perceptual objects and focus of attention shift. Firstly spatial visual saliency of each pixel is calculated and a saliency map is generated. The most salient homogeneity regions are extracted based on their spatial visual saliency. The extracted salient regions can be considered as perceptual objects. Attention value of each perceptual object is computed according to its area, location and saliency. Then a hierarchical attention shift method is used in the proposed model. The proposed model has been tested on many natural images. Experiment results show that the proposed model is valid and the attention results are consistent with human visual system.