Robust and efficient saliency modeling from image co-occurrence histograms

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 36, Issue 1, 2014, Pages 195-201

  Lu, Shijian ^a   Tan, Cheston ^a   Lim, Joo Hwee ^a  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

Image co occurrence histogram; Saliency modeling; Visual attention

Indexed keywords

CO-OCCURRENCE HISTOGRAMS; IMAGE HISTOGRAMS; LEARNING PROCESS; PARAMETER-TUNING; SALIENCY MODELING; TWO-DIMENSIONAL IMAGES; VISUAL ATTENTION; VISUAL SALIENCY MODEL;

GRAPHIC METHODS;

STATISTICAL METHODS;

EID: 84890406335     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2013.158     Document Type: Article

References (40)

1. J. Tsotsos, "Analyzing Vision at the Complexity Level," Behavioral and Brain Sciences, vol. 13, no. 3, pp. 423-445, 1990.
2. C.M. Moore and H. Egeth, "How Does Feature-Based Attention Affect Visual Processing?" J. Experimental Psychology: Human Perception and Performance, vol. 24, no. 4, pp. 1296-1310, 1998. (Pubitemid 128458920)
3. A. Borji, D.N. Sihite, and L. Itti, "Quantitative Analysis of Human-Model Agreement in Visual Saliency Modeling: A Comparative Study," IEEE Trans. Image Processing, vol. 22, no. 1, pp. 55-69, Jan. 2013.
4. L. Itti and C. Koch, "Computational Modeling of Visual Attention," Nature Rev. Neuroscience, vol. 2, no. 3, pp. 194-203, 2001.
5. L. Itti, C. Koch, and E. Niebur, "A Model of Saliency-Based Visual Attention for Rapid Scene Analysis," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 11, pp. 1254-1259, Nov. 1998. (Pubitemid 128742001)
6. T. Kadir and M. Brady, "Saliency, Scale and Image Description," Int'l J. Computer Vision, vol. 45, no. 2, pp. 83-105, 2001. (Pubitemid 33125858)
7. D. Gao and N. Vasconcelos, "Bottom-Up Saliency Is a Discriminant Process," Proc. 11th IEEE Int'l Conf. Computer Vision, pp. 1-6, 2007.
8. M.M. Cheng, G.X. Zhang, N. Mitra, X. Huang, and S.M. Hu, "Global Contrast Based Salient Region Detection," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 409-416, 2011.
9. F. Perazzi, P. Krahenbuhl, Y. Pritch, and A. Hornung, "Saliency Filters: Contrast Based Filtering for Salient Region Detection," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 733-740, 2012.
10. T. Judd, K. Ehinger, F. Durand, and A. Torralba, "Learning to Predict Where Humans Look," Proc. 12th IEEE Int'l Conf. Computer Vision, pp. 2106-2113, 2009.
11. S. Goferman, L. Zelnik-Manor, and A. Tal, "Context-Aware Saliency Detection," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 2376-2383, 2010.
12. A. Borji, D.N. Sihite, and L. Itti, "Probabilistic Learning of Task-Specific Visual Attention," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 470-477, 2012.
13. L. Wang, J. Xue, N. Zheng, and G. Hua, "Automatic Salient Object Extraction with Contextual Cue," Proc. IEEE Int'l Conf. Computer Vision, pp. 105-112, 2011.
14. X. Hou and L. Zhang, "Saliency Detection: A Spectral Residual Approach," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 1-8, 2007.
15. X. Hou, J. Harel, and C. Koch, "Image Signature: Highlighting Sparse Salient Regions," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 34, no. 1, pp. 194-201, Jan. 2012.
16. T. Liu, J. Sun, N. Zheng, X. Tang, and H. Shum, "Learning to Detect a Salient Object," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 1-8, 2007.
17. T. Liu, Z. Yuan, J. Sun, J. Wang, N. Zheng, X. Tang, and H. Shum, "Learning to Detect a Salient Object," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 33, no. 2, pp. 353-367, Feb. 2011.
18. J. Feng, Y. Wei, L. Tao, C. Zhang, and J. Sun, "Salient Object Detection by Composition," Proc. IEEE Int'l Conf. Computer Vision, pp. 1028-1035, 2011.
19. R. Achanta, S. Hemami, F. Estrada, and S. Susstrunk, "Frequency- Tuned Salient Region Detection," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 1597-1604, 2009.
20. J. Harel, C. Koch, and P. Perona, "Graph-Based Visual Saliency," Proc. Advances in Neural Information Processing Systems, pp. 545-552, 2007.
21. H.J. Seo and P. Milanfar, "Static and Space-Time Visual Saliency Detection by Self-Resemblance," J. Vision, vol. 12, no. 15, pp. 1-15, 2009.
22. L. Marchesotti, C. Cifarelli, and G. Csurka, "A Framework for Visual Saliency Detection with Applications to Image Thumbnailing," Proc. 12th IEEE Int'l Conf. Computer Vision, pp. 2232-2239, 2009.
23. L. Duan, C. Wu, J. Miao, L. Qing, and Y. Fu, "Visual Saliency Detection by Spatially Weighted Dissimilarity," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 473-480, 2011.
24. G. Sharmal, F. Jurie, and C. Schmid, "Discriminative Spatial Saliency for Image Classification," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 3506-3513, 2012.
25. D. Chen and H. Chu, "Scale-Invariant Amplitude Spectrum Modulation for Visual Saliency Detection," IEEE Trans. Neural Networks and Learning Systems, vol. 23, no. 8, pp. 1206-1214, Aug. 2012.
26. A. Garcia-Diaz, X.R. Fdez-Vidal, X.M. Pardo, and R. Dosil, "Saliency from Hierarchical Adaptation through Decorrelation and Variance Normalization," Image and Vision Computing, vol. 30, pp. 51-64, 2012.
27. N. Bruce and J. Tsotsos, "Saliency Based on Information Maximization," Proc. Advances in Neural Information Processing Systems, pp. 155-162, 2006.
28. N. Bruce and J. Tsotsos, "Saliency, Attention, and Visual Search: An Information Theoretic Approach," J. Vision, vol. 9, no. 3, pp. 1-24, 2009.
29. N. Bruce, "Image Analysis through Local Information Measures," Proc. Int'l Conf. Pattern Recognition, pp. 616-619, 2004.
30. L. Zhang, M.H. Tong, T.K. Marks, and G.W. Cottrell, "SUN: A Bayesian Framework for Saliency Using Natural Statistics," J. Vision, vol. 8, no. 7, pp. 1-20, 2008.
31. P. Wang, J. Wang, G. Zeng, J. Feng, H. Zha, and S. Li, "Salient Object Detection for Searched Web Images via Global Saliency," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 3194-3201, 2012.
32. W. Kienzle, F.A. Wichmann, B. Scholkopf, and M.O. Franz, "A Nonparametric Approach to Bottom Up Visual Saliency," Proc. Advances in Neural Information Processing Systems, pp. 689-696, 2007.
33. Q. Zhao and C. Koch, "Learning a Saliency Map Using Fixated Locations in Natural Scenes," J. Vision, vol. 3, no. 9, pp. 1-15, 2011.
34. Q. Zhao and C. Koch, "Learning Visual Saliency by Combining Feature Maps in a Nonlinear Manner Using AdaBoost," J. Vision, vol. 12, no. 6, pp. 1-15, 2012.
35. A. Borji and L. Itti, "Exploiting Local and Global Patch Rarities for Saliency Detection," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 478-485, 2012.
36. J. Huang, S.R. Kumar, M. Mitra, W.J. Zhu, and R. Zabih, "Image Indexing Using Color Correlograms," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 762-768, 1997.
37. A. Rao, R.K. Srihari, and Z. Zhang, "Spatial Color Histograms for Content-Based Image Retrieval," Proc. 11th IEEE Int'l Conf. Tools with Artificial Intelligence, pp. 183-186, 1999. (Pubitemid 30526053)
38. P. Chang and J. Krumm, "Object Recognition with Color Cooccurrence Histograms," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 498-504, 1999.
39. S. Lu and J.H. Lim, "Saliency Modeling from Image Histograms," Proc. European Conf. Computer Vision, pp. 321-332, 2012.
40. B. Tatler, R. Baddeley, and I. Gilchrist, "Visual Correlates of Fixation Selection: Effects of Scale and Time," Vision Research, vol. 45, no. 5, pp. 643-659, 2005. (Pubitemid 40037974)