Estimating Visual Saliency Through Single Image Optimization

This letter presents a novel approach for visual saliency estimation through single image optimization. Instead of directly mapping visual features to saliency values with a unified model, we treat regional saliency values as the optimization objective on each single image. By using a quadratic programming framework, our approach can adaptively optimize the regional saliency values on each specific image to simultaneously meet multiple saliency hypotheses on visual rarity, center-bias and mutual correlation. Experimental results show that our approach can outperform 14 state-of-the-art approaches on a public image benchmark.

[1]  Yu Fu,et al.  Visual saliency detection by spatially weighted dissimilarity , 2011, CVPR 2011.

[2]  Christof Koch,et al.  A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .

[3]  Junsong Yuan,et al.  Hybrid Saliency Detection for Images , 2013, IEEE Signal Processing Letters.

[4]  Xiang Zhang,et al.  Region Diversity Maximization for Salient Object Detection , 2012, IEEE Signal Processing Letters.

[5]  Marko Tscherepanow,et al.  A saliency map based on sampling an image into random rectangular regions of interest , 2012, Pattern Recognit..

[6]  Pietro Perona,et al.  Graph-Based Visual Saliency , 2006, NIPS.

[7]  Liqing Zhang,et al.  Saliency Detection: A Spectral Residual Approach , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[8]  Christof Koch,et al.  Modeling attention to salient proto-objects , 2006, Neural Networks.

[9]  Shi-Min Hu,et al.  Global contrast based salient region detection , 2011, CVPR 2011.

[10]  Pascal Fua,et al.  SLIC Superpixels Compared to State-of-the-Art Superpixel Methods , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[11]  Yael Pritch,et al.  Saliency filters: Contrast based filtering for salient region detection , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[12]  Lihi Zelnik-Manor,et al.  Context-aware saliency detection , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[13]  Nicolas Riche,et al.  Rare: A new bottom-up saliency model , 2012, 2012 19th IEEE International Conference on Image Processing.

[14]  John K. Tsotsos,et al.  Saliency Based on Information Maximization , 2005, NIPS.

[15]  S. Süsstrunk,et al.  Frequency-tuned salient region detection , 2009, CVPR 2009.

[16]  Nanning Zheng,et al.  Automatic salient object segmentation based on context and shape prior , 2011, BMVC.

[17]  Liqing Zhang,et al.  Dynamic visual attention: searching for coding length increments , 2008, NIPS.