Piecewise Frequency Domain Visual Saliency Detection

摘要：

Previous spatial domain methods of visual saliency detection suffer from computational complexity, and recent frequency domain methods lack biological justification. We propose a saliency detection method that combines the speed of frequency domain methods with the topology of biologically based methods. We show that saliency detection can be achieved in frequency domain using frequency domain divisive normalization (FDN). However, this method is constrained by a global surround. Extending this model by conducting piecewise FDN (PFDN) using overlapping local patches overcomes this constraint to provide better biological plausibility. Experiments show that PFDN out-performs FDN and other state-of-the-art methods in eye fixation predication.

关键词： visual saliency attention selection saliencymap divisive normalization eye fixation prediction

作者: Peng Bian Liming Zhang

作者单位: Department of Electronic Engineering, Fudan University Shanghai, China 200433

会议类型: 国际会议

会议名称: Third International Conference on Information and Computing(第三届信息与计算科学国际会议 ICIC 2010)

会议地点: 无锡

会议语种:英文

页码: 269-272

在线出版日期: 2010-06-04（万方平台首次上网日期，不代表论文的发表时间）