Deep salience: Visual salience modeling via deep belief propagation

Proceedings of the National Conference on Artificial Intelligence

Volumn 4, Issue , 2014, Pages 2773-2779

  Jiang, Richard ^a   Crookes, Danny ^b  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

^b QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BELIEF PROPAGATION; VISUAL SALIENCE;

EID: 84908180978     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (31)

1. Achanta, R.; Hemami, S.; Estrada, F.; Susstrunk, S. 2009. Frequency-tuned salient region detection. In CVPR'09, 1597- 1604.
2. Arbelaez, P.; Maire, M.; Fowlkes, C.; Malik, J. 2011. Contour detection and hierarchical image segmentation. In IEEE TPAMI, 33(5): 898-916.
3. BirkhofF, G.; Neumann, J. V. 1936. The Logic of Quantum Mechanics. Annals of Mathematics, 37: 823-843.
4. Blue, M.; Bush, B. 2002. Unified approach to fuzzy graph problems. Fuzzy Sets and Systems, 125(3):355-368.
5. Cheng, M.; Zhang, G.; Mitra, N. J.; Huang, X.; Hu, S. 2011. Global Contrast based Salient Region Detection. In CVPR'11, 409-416.
6. Dalai, N.; Triggs, B. 2005. Histograms of oriented gradients for human detection. In CVPR'05.
7. Ekstrom, L. B.; Roelfsema, P. R.; Arsenault, J. T.; Bonmassar, G.; Vanduffel, W. 2008. Bottom-up dependent gating of frontal signals in early visual cortex. Science, 321(5887): 414-417.
8. Farabet, C.; Couprie, C.; Najman, L.; LeCun, Y. 2013. Learning hierarchical features for scene labeling. In IEEE TPAMI, 35(8): 1915-1929.
9. Goferman, S.; Zelnik-Manor, L.; Tal, A. 2010. Context-aware saliency detection. In CVPR'10.
10. Harel, J.; Koch, C.; Perona, P. 2006. Graph-based visual saliency. In NIPS, 545-552.
11. Hou, X.; Zhang, L. 2007. Saliency detection: A spectral residual approach. In CVPR'07, 1-8.
12. Hinton, G. E.; Salakhutdinov, R. 2006. Reducing the dimensionality of data with neural networks. In Science, 313(5786): 504-507.
13. Itti, L.; Koch, C. 2001. Computational modelling of visual attention. Nature Reviews Neuroscience, 2:194-203.
14. Itti, L.; Koch, C.; Niebur, E. 1998. A model of saliency-based visual attention for rapid scene analysis. In IEEE TPAMI, 20(11): 1254-1259.
15. Jegelka, S.; Bilmes, J. 2011. Submodularity beyond submodular energies: Coupling edges in graph cuts. In CVPR'11, 1897-1904.
16. Jiang, R.; Crookes, D. 2012. Visual saliency estimation through manifold learning. In AAAI'12.
17. Judd, T. 2009. Learning to predict where humans look. In ICCV'09.
18. Kohli, P.; Osokin, A.; Jegelka, S. 2013. A principled deep random field model for image segmentation. In CVPR '13.
19. Koch, C.; Ullman, S. 1985. Shifts in selective visual attention: Towards the underlying neural circuitry. Human Neurobiology, 4:219-227.
20. Kosko, B. 1986. Fuzzy cognitive maps. International Journal of Man-Machine Studies, 24(1):65-75.
21. Lowe, D. G. 2004. Distinctive image features from scale-invariant keypoints. In IJCV, 60(2): 91-110.
22. Ma, Y. F.; Zhang, H. J. 2003. Contrast-based image attention analysis by using fuzzy growing. In ACM Multimedia'03, 374- 381.
23. Perazzi, F.; Krahenbiil, P.; Pritch, Y.; Hornung, A. 2012. Saliency Filters: Contrast Based Filtering for Salient Region Detection. In CVPR'12.
24. Peng, H.; Li, B.; Ji, R.; Hu, W. 2013. Salient object detection via low-rank and structured sparse matrix decomposition. In AAAI-13.
25. Rother, C.; Kolmogorov, V.; Blake, A. 2004. Grabcut-Interactive foreground extraction using iterated graph cuts. In ACM Trans. Graph., 23(3): 309-314.
26. Salzenstein, F.; Collet, C. 2006. Fuzzy Markov Random Fields versus Chains for Multispectral Image Segmentation. IEEE TPAMI, 28(11): 1753- 1767.
27. Sun, D.; Wulff, J.; Sudderth, E. B.; Pfister, H.; Black, M. J. 2013. A fully-connected layered model of foreground and background flow. In CVPR'13, 2451-2458.
28. Viola, P.; Jones, M. 2001. Robust real-time object detection. In ICCV'01.
29. Vedaldi, A.; Gulshan, V.; Varma, M.; Zisserman, A. 2009. Multiple kernels for object detection. In ICCV'09.
30. Yedidia, J. S.; Freeman, W. T.; Weiss, Y. 2005. Constructing Free Energy Approximations and Generalized Belief Propagation Algorithms. IEEE Trans. Information Theory, 51:2282-2312.
31. Zhai, Y.; Shah, M. 2006. Visual attention detection in video sequences using spatiotemporal cues. In ACM Multimedia'06, 815-824.