Graph-regularized saliency detection with convex-hull-based center prior

IEEE Signal Processing Letters

Volumn 20, Issue 7, 2013, Pages 637-640

  Yang, Chuan ^a   Zhang, Lihe ^a   Lu, Huchuan ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Center prior; contrast prior; salient object detection; smoothness prior

Indexed keywords

CENTER PRIOR; CONTRAST PRIOR; ENERGY FUNCTIONS; SALIENCY DETECTION; SALIENT OBJECT DETECTION; SALIENT OBJECTS; SMOOTHNESS PRIOR; STATE-OF-THE-ART METHODS;

ELECTRICAL ENGINEERING; SIGNAL PROCESSING;

OBJECT RECOGNITION;

EID: 84877867280     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2013.2260737     Document Type: Article

References (12)

1. L. Itti, C. Koch, and E. Niebur, "A model of saliency-based visual at tention for rapid scene analysis," IEEE Trans. Patt. Anal. Mach. Intell., vol. 20, no. 11, pp. 1254-1259, 1998. (Pubitemid 128742001)
2. S. Goferman, L. Zelnik-Manor, and A. Tal, "Context-aware saliency detection," IEEE Trans. Patt. Anal. Mach. Intell., vol. 32, no. 10, pp. 1915-1925, 2012.
3. H. Jiang, J. Wang, Z. Yuan, T. Liu, N. Zheng, and S. Li, "Automatic salient object segmentation based on contex and shape prior," in BMVC, 2011.
4. R. Achanta, S. Hemami, F. Estrada, and S. Susstrunk, "Frequency- tuned salient region detection," in CVPR, 2009.
5. M. M. Cheng, G. X. Zhang, N. J. Mitra, X. Huang, and S. M. Hu, "Global contrast based salient region detection," in CVPR, 2011.
6. F. Perazzi, P. Krahenbuhl, Y. Pritch, and A. Hornung, "Saliency filters: Contrast based filtering for salient region detection," in CVPR, 2012.
7. T. Liu, Z. Yuan, J. Sun, J. Wang, N. Zheng, X. Tang, and H. Shum, "Learning to detect a salient object," IEEE Trans. Patt. Anal. Mach. Intell., vol. 33, no. 2, pp. 353-367, 2011.
8. Y. L. Xie and H. C. Lu, "Visual saliency detection based on Bayesian model," in ICIP, 2011.
9. R. Achanta, K. Smith, A. Lucchi, P. Fua, and S. Susstrunk, "SLIC Superpixels," Tech. Rep. EPFL, 2010, Tech.Rep. 149300.
10. A. M. Treisman and G. Gelade, "A feature integration theory of attention," Cogn. Psych., vol. 12, pp. 97-136, 1980.
11. C. Rother, V. Kolmogorov, and A. Blake, ""grabcut": Interactive fore ground extraction using iterated graph cuts," ACM Trans. Graph., vol. 23, no. 3, pp. 309-314, 2004.
12. L. Ladicky, C. Russell, P. Kohli, and P. H. Torr, "Associative hierarchical crfs for object class image segmentation," in ICCV, 2009.