Learning to Detect A Salient Object

Tie Liu, Jian Sun, Nan-Ning Zheng, Xiaoou Tang and Heung-Yeung Shum. Learning to Detect A Salient Object. In Proc. IEEE Cont. on Computer Vision and pattern Recognition (CVPR), Minneapolis, Minnesota, 2007.


Salient Object Features:    salient object feature maps and our detection results

Comparison:                      comparison with other algorithms: FG(Ma,2003)[1], SM(Itti,1998)[2]

Additional Examples:         partial examples in image sets A and B


Salient Object Features:            more results                                                             

Input image Multi-scale contrast Center- surround histogram Color spatial-distribution Binary labeled result

Comparison:                               more comparisons                                                   

FG(Ma,2003) SM(Itti,1998) Our approach Ground truth


Additional Examples:                              

partial examples (1,696 images) from image set A:

partial examples (720 images) from image set B:


Reference:                                                                                                                  

1. Y.-F. Ma and H.-J. Zhang. Contrast-based image attention analysis by using fuzzy growing. In Proceedings of the eleventh ACM international conference on Multimedia table of contents, pages 374¨C381, 2003.

2.L. Itti, C. Koch, and E. Niebur. A model of saliency-based visual attention for rapid scene analysis. IEEE Trans. Pattern Anal.Mach. Intell., 20(11):1254¨C1259, 1998.

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