Improvement of Salient-Region Detection Using An Integrated Bottom-Up Model

摘要：

Modeling visual attention is a challenging task for machine vision. In this paper, inspired by the mechanism of human visual system, we propose an integrated model to detect generic salient-regions in a purely bottom-up manner. Instead of only employing early visual features in most relevant works, the saliency of discriminative local regions is also conducted to represent the spatial entropy, which is believed as a significant aspect of the selective attention. The final visual saliency can be detected by combining these two complementary and independent mechanisms. To demonstrate the effectiveness and robustness, both qualitative and quantitative experiments are designed. The results show that the proposed model can achieve satisfying performances, even in highly cluttered scenes.

关键词： saliency detection bottom-up visual attention scene analysis discriminative local region early visual feature

作者: Fukun Bi Mingming Bian Lining Gao Teng Long

作者单位: School of Information and Electronics,Beijing Institute of Technology,Beijing P.R.China Dept.of Electronic Engineering,Tsinghua University,Beijing P.R.China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 836-840

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）