Saliency Detection by Non-linear Intensity mapping In Images

摘要：

Visually saliency detection provides an alternative methodology to image description in many applications such as adaptive content delivery and image retrieval. In this paper, we propose a novel computational method to model visual saliency in nature images. To efficiently eliminate high contrast noise regions in the background, we propose a constructive approach of non-linear intensity mapping for rendering an image based on local and global context information. Therefore, the most salient region can be easily selected as the one which is globally most isolated and has locally distinctive characteristics. The proposed approach intrinsically provides an alternative methodology to model attention with low implementation complexity. Experiments show that our approach achieves much better performance than that from the existing state-of-art.

关键词： visual attention salient map global context intensity mapping

作者: Congyan Lang Songhe Feng De Xu

作者单位: School of Computer & Information Technology, Beijing Jiaotong University, Beijing, 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: 1025-1028

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）