Leveraging stereopsis for saliency analysis

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2012, Pages 454-461

  Niu, Yuzhen ^a   Geng, Yujie ^a   Li, Xueqing ^b   Liu, Feng ^a  

^a Department of Electrical and Computer Engineering   (United States)

^b SHANDONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK DATASETS; COMFORT ZONE; DATA SETS; DEPTH CUE; DOMAIN KNOWLEDGE; HUMAN VISION SYSTEMS; IMAGE REGIONS; INPUT IMAGE; SALIENCY ANALYSIS; SALIENCY DETECTION; SALIENT OBJECTS; STEREOSCOPIC IMAGE; VISUAL SALIENCY;

VISUAL COMMUNICATION;

COMPUTER VISION;

EID: 84866702857     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6247708     Document Type: Conference Paper

References (41)

1. R. Achanta, S. Hemami, F. Estrada, and S. Süsstrunk. Frequency-tuned salient region detection. In IEEE CVPR, pages 1597-1604, 2009. 1, 5, 6
2. R. Achanta and S. Süsstrunk. Saliency detection using maximum symmetric surround. In IEEE ICIP, 2010. 6
3. M. Cheng, G. Zhang, N. J. Mitra, X. Huang, and S. Hu. Global contrast based salient region detection. In IEEE CVPR, pages 409-416, 2011. 1, 2, 3, 6
4. Y. Cohen and R. Basri. Inferring region salience from binary and gray-level images. Pattern recognition, 36:2349-2362, 2003. 1
5. L. Duan, C.Wu, J. Miao, L. Qing, and Y. Fu. Visual saliency detection by spatially weighted dissimilarity. In IEEE CVPR, pages 473-480, 2011. 1
6. S. Fan and F. P. Ferrie. Structure guided salient region detector. In BMVC, 2008. 1
7. P. F. Felzenszwalb and D. P. Huttenlocher. Efficient graphbased image segmentation. Int. J. Comput. Vision, 59:167-181, 2004. 2
8. J. Feng, Y. Wei, L. Tao, C. Zhang, and J. Sun. Salient object detection by composition. In IEEE ICCV, 2011. 1
9. D. Gao, V. Mahadevan, and N. Vasconcelos. On the plausibility of the discriminant center-surround hypothesis for visual saliency. Journal of Vision, 8:1-18, 2008. 1
10. D. Gao and N. Vasconcelos. Bottom-up saliency is a discriminant process. In IEEE ICCV, 2007. 1
11. S. Goferman, L. Zelnik-manor, and A. Tal. Context-aware saliency detection. In IEEE CVPR, 2010. 1, 6
12. V. Gopalakrishnan, Y. Hu, and D. Rajan. Random walks on graphs to model saliency in images. In IEEE CVPR, pages 1698-1705, 2009. 1
13. J. Häkkinen, T. Kawai, J. Takatalo, R. Mitsuya, and G. Nyman. What do people look at when they watch stereoscopic movies? In Proc. SPIE 7524, 2010. 2, 3
14. J. Harel, C. Koch, and P. Perona. Graph-based visual saliency. In NIPS, pages 545-552, 2006. 1, 6
15. X. Hou and L. Zhang. Saliency detection: A spectral residual approach. In IEEE CVPR, 2007. 1, 6
16. L. Itti. Visual salience. Scholarpedia, 2(9):3327, 2007. 1
17. L. Itti and C. Koch. Computational modeling of visual attention. Nature reviews neuroscience, 2:194-203, 2001. 1
18. L. Itti, C. Koch, and E. Niebur. A model of saliency-based visual attention for rapid scene analysis. IEEE Trans. Pattern Anal. Mach. Intell., 20:1254-1259, 1998. 1
19. G. Kim, D. Huber, and M. Hebert. Segmentation of salient regions in outdoor scenes using imagery and 3-d data. In IEEE WACV, 2008. 1
20. T. K. Leung and J.Malik. Contour continuity in region based image segmentation. In ECCV, pages 544-559, 1998. 3
21. C. Liu, J. Yuen, and A. Torralba. Sift flow: Dense correspondence across scenes and its applications. IEEE Trans. Pattern Anal. Mach. Intell., 33(5):978-994, 2011. 2
22. F. Liu and M. Gleicher. Region enhanced scale invariant saliency detection. In IEEE ICME, pages 1477-1480, 2006. 1
23. T. Liu, J. Sun, N.-N. Zheng, X. Tang, and H.-Y. Shum. Learning to detect a salient object. In IEEE CVPR, 2007. 1, 5
24. J. Luo and A. Singhal. On measuring low-level saliency in photographic images. In IEEE CVPR, pages 84-89, 2000. 1
25. Y.-F. Ma and H.-J. Zhang. Contrast-based image attention analysis by using fuzzy growing. In ACM Multimedia, pages 374-381, 2003. 1
26. V. Mahadevan and N. Vasconcelos. Spatiotemporal saliency in highly dynamic scenes. IEEE Trans. Pattern Anal. Mach. Intell., 32:171-177, 2010. 1
27. B. Mendiburu. 3D Movie Making: Stereoscopic Digital Cinema from Script to Screen. Focal Press, 2009. 2, 3
28. N. Murray, M. Vanrell, X. Otazu, and C. Parraga. Saliency estimation using a non-parametric low-level vision model. In IEEE CVPR, pages 433-440, 2011. 1
29. H. Nothdurft. Salience from feature contrast: additivity across dimensions. Vision Research, 40(10-12):1183-1201, 2000. 1
30. G. Poggio and T. Poggio. The analysis of stereopsis. Annual Review of Neuroscience, 7(1):379-412, 1984. 1
31. J. Reynolds and R. Desimone. Interacting roles of attention and visual salience in v4. Neuron, 37(5):853-863, 2003. 1
32. C. Rother, V. Kolmogorov, and A. Blake. GrabCut: interactive foreground extraction using iterated graph cuts. ACM Trans. Graph., 23:309-314, 2004. 6
33. S. Sarkar. Learning to form large groups of salient image features. In IEEE CVPR, 1998. 1
34. D. Scharstein and R. Szeliski. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. Int. J. Comput. Vision, 47(1):7-42, 2002. 2
35. A. Torralba. Contextual influences on saliency. Neurobiology of attention, pages 586-593, 2005. 1
36. A. Treisman and G. Gelade. A feature-integration theory of attention. Cognitive Psychology, 12:97-136, 1980. 1
37. R. Valenti, N. Sebe, and T. Gevers. Image saliency by isocentric curvedness and color. In IEEE ICCV, 2009. 1
38. M. Wang, J. Konrad, P. Ishwar, K. Jing, and H. Rowley. Image-saliency: From intrinsic to extrinsic context. In IEEE CVPR, pages 417-424, 2011. 1
39. Z. Wang and B. Li. A two-stage approach to saliency detection in images. In IEEE ICASSP, 2008. 1
40. J. M. Wolfe and T. S. Horowitz. What attributes guide thedeployment of visual attention and how do they do it? Nature Reviews Neuroscience, 5:495-501, 2004. 1, 2
41. Y. Zhai and M. Shah. Visual attention detection in videosequences using spatiotemporal cues. In ACM Multimedia, pages 815-824, 2006. 1