Hierarchical Identification of Visually Salient Image Regions

摘要：

The saliency map model propdsed by Itti and Koch has been a popular method in explaining the guidance of visual attention using only bottom-up information. The method makes one-level salient-point extraction, and does not take human visual resolution into account. We propose a hierarchical architecture to identify salient regions in a multiple-layer manner. Two ways of attention movements are introduced to Mimic the psychological process of human vision: depth search and within-level position shift. A visual attention tree (VAT) is constructed to help guide human visual search that does not take a definite route. The proposed method makes full use of information at different scales and produces satisfactory results in salient region extraction.

关键词： saliency map depth search within-level position shift visual attention tree (VAT)

作者: Qian Li Shuozhong Wang Xinpeng Zhang

作者单位: School of Communication and Information Engineering, Shanghai University, Shanghai 20007, China

会议类型: 国际会议

会议名称: 2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)

会议地点: 镇江

会议语种:英文

页码: 1708-1712

在线出版日期: 2008-07-07（万方平台首次上网日期，不代表论文的发表时间）