文献类型：期刊文献

英文题名：Salient region detection in video using spatiotemporal visual attention model

作者：Zhang, Qiaorong[1]; Zhang, Yongqiang[1]

第一作者：张巧荣

通讯作者：Zhang, Q.|[104845a8f4d41]张琴;[1048443855eeb]张茜;[1048483301d73]张倩;[1048455a8f4d41]张琴;

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

通讯机构：[1]College of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou, China|[1048412]河南财经政法大学计算机与信息工程学院;[10484]河南财经政法大学;

年份：2012

卷号：6

期号：11

起止页码：265-272

外文期刊名：International Journal of Digital Content Technology and its Applications

收录：EI(收录号：20122715219762);Scopus(收录号：2-s2.0-84863317265)

语种：英文

外文关键词：Visualization

摘要：Salient region detection is very useful in video analysis. A salient region detection method based on spatiotemporal visual attention model is proposed in this paper. Visual attention mechanism is used to generate saliency map of the image sequence. Spatial saliency map is computed in accordance with some predefined features including intensity, color and orientation. Temporal visual saliency of each pixel is calculated using motion feature. Both spatial saliency map and temporal saliency map are combined to obtain the overall visual saliency map. Then salient regions are detected based on the visual saliency map. The proposed salient region detection method has been tested on many videos. The experiment results show that the presented method is valid and effective. The detection results are consistent with human visual system.