Superpixel-based saliency detection

International Workshop on Image Analysis for Multimedia Interactive Services

Volumn , Issue , 2013, Pages

  Liu, Zhi ^a,b   Meur, Le ^b,c   Luo, Shuhua ^a  

^a SHANGHAI UNIVERSITY   (China)

^b CAMPUS DE BEAULIEU   (France)

^c UNIVERSITÉ DE RENNES 1   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE COLOR QUANTIZATION; GLOBAL CONTRASTS; SALIENCY DETECTION; SALIENCY MODELING; SIMILARITY MEASURE; SPARSITY MEASURES; SPATIAL DISTANCE; SUPERPIXEL SEGMENTATIONS;

IMAGE ANALYSIS; IMAGE SEGMENTATION; STATISTICAL TESTS;

SPATIAL VARIABLES MEASUREMENT;

EID: 84887217479     PISSN: 21585873     EISSN: 21585881     Source Type: Conference Proceeding    
DOI: 10.1109/WIAMIS.2013.6616119     Document Type: Conference Paper

References (17)

1. L. Itti, C. Koch, and E. Niebur, "A model of saliency-based visual attention for rapid scene analysis," IEEE Trans. Pattern Anal. Mach. Intell., vol. 20, no. 11, pp. 1254-1259, Nov. 1998.
2. D. Gao, V. Mahadevan, and N. Vasconcelos, "The discriminant center-surround hypothesis for bottom-up saliency," Proc. NIPS, pp. 497-504, Dec. 2007.
3. O. Le Meur, and J.-C. Chevet, "Relevance of a feed-forward model of visual attention for goal-oriented and free-viewing tasks," IEEE Trans. Image Process., vol. 19, no. 11, pp. 2801-2813, Nov. 2010.
4. H. J. Seo, and P. Milanfar, "Static and space-time visual saliency detection by self-resemblance," Journal of Vision, vol. 9, no. 12, article 15, Nov. 2009.
5. R. Achanta, S. Hemami, F. Estrada, and S. Susstrunk, "Frequency- tuned salient region detection," Proc. IEEE CVPR, pp. 1597-1604, Jun. 2009.
6. L. Zhang, M. H. Tong, T. K. Marks, H. Shan, and G. W. Cottrell, "Sun: A Bayesian framework for saliency using natural statistics," Journal of Vision, vol. 8, no. 7, article 32, Dec. 2008.
7. J. Harel, C. Koch, and P. Perona, "Graph-based visual saliency," Proc. NIPS, pp. 545-552, Dec. 2006.
8. T. Liu, J. Sun, N. Zheng, X. Tang, and H. Y. Shum, "Learning to detect a salient object," Proc. IEEE CVPR, p. 4270072, Jun. 2007.
9. X. Hou, and L. Zhang, "Saliency detection: a spectral residual approach," Proc. IEEE CVPR, p. 4270292, Jun. 2007.
10. S. Goferman, L. Zelnik-Manor, and A. Tal, "Context-aware saliency detection," Proc. IEEE CVPR, pp. 2376-2383, Jun. 2010.
11. V. Gopalakrishnan, Y. Hu, and D. Rajan, "Salient region detection by modeling distributions of color and orientation," IEEE Trans. Multimedia, vol. 11, no. 5, pp. 892-905, Aug. 2009.
12. M. M. Cheng, G. X. Zhang, N. J. Mitra, X. Huang, and S. M. Hu, "Global contrast based salient region detection," Proc. IEEE CVPR, pp. 409-416, Jun. 2011.
13. X. Zhang, Z. Ren, D. Rajan, and Y. Hu, "Salient object detection through over-segmentation," Proc. IEEE ICME, pp. 1033-1038, Jul. 2012.
14. Z. Liu, Y. Xue, H. Yan, and Z. Zhang, "Efficient saliency detection based on Gaussian models," IET Image Processing, vol. 5, no. 2, pp. 122-131, Mar. 2011.
15. Z. Liu, R. Shi, L. Shen, Y. Xue, K. N. Ngan, and Z. Zhang, "Unsupervised salient object segmentation based on kernel density estimation and two-phase graph cut," IEEE Trans. Multimedia, vol. 14, no. 4, pp. 1275-1289, Aug. 2012.
16. R. Achanta, A. Shaji, K. Smith, A. Lucchi, P. Fua, and S. Süsstrunk, "SLIC superpixels compared to state-of-The-art superpixel methods," IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 11, pp. 2274-2282, Nov. 2012.
17. N. Otsu, "A threshold selection method from gray-level histograms," IEEE Trans. Syst. Man Cybern., vol. 9, no. 1, pp. 62-66, Jan. 1979.