A Fast Region of Interest Extraction Approach Based on Stentiford Model of Visual Attention

摘要：

The model of visual attention proposed by Stentiford can effectively identify salient regions of an image. Since Stentiford model is produced by using evolutionary programming (EP), which usually involves a lot of computation, a fast region of interest (ROI) extraction approach is proposed. The input image is firstly bilinear down-sampled. The visual attention map is calculated with occurrence frequency of a region in the image. The candidate ROI is obtained after Tilling holes and filtering isolated points. The actual ROI is extracted by scaling the candidate ROI with bilinear interpolation. Experimental results show that the proposed approach can faster extract ROI, and have a more accurate ROI detection as well.

关键词： region of interest extraction Stentiford model visual attention evolutionary programming

作者: Zhang Jing Zhuo Li Liu Zhixing Sui Lei

作者单位: Signal & Information Processing Lab Beijing University of Technology Beijing, China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 2461-2464

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）