Nonparametric saliency detection using kernel density estimation

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2010, Pages 253-256

  Liu, Zhi ^a,b   Xue, Yinzhu ^a   Shen, Liquan ^a,b   Zhang, Zhaoyang ^a,b  

^a SHANGHAI UNIVERSITY   (China)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Color saliency; Kernel density estimation; Saliency detection; Spatial saliency

Indexed keywords

CONTENT-BASED; KERNEL DENSITY ESTIMATION; MEAN SHIFT ALGORITHM; MODEL-BASED; NON-PARAMETRIC; SALIENCY DETECTION; SALIENCY MAP; SALIENCY MEASURE; SALIENT OBJECTS; SPATIAL DISTRIBUTION; SPATIAL SALIENCIES;

ESTIMATION; IMAGE SEGMENTATION; IMAGING SYSTEMS; PIXELS;

COLOR;

EID: 78651071317     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2010.5652613     Document Type: Conference Paper

References (16)

1. C. Koch, and S. Ullman, "Shifts in selective visual attention: towards the underlying neural circuitry," Human Neurobiology, vol. 4, no. 4, pp. 219-227, 1985.
2. 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.
3. Y. Ma, and H. Zhang, "Contrast-based image attention analysis by using fuzzy growing," Proc. ACM International Conference on Multimedia, pp. 374-381, Nov. 2003.
4. F. Liu, and M. Gleicher, "Region enhanced scale-invariant saliency detection," Proc. IEEE ICME, pp. 1477-1480, Jul. 2006.
5. D. Gao, V. Mahadevan, and N. Vasconcelos, "The discriminant center-surround hypothesis for bottom-up saliency," Proc. NIPS, pp. 497-504, Dec. 2007.
6. H. J. Seo, and P. Milanfar, "Nonparametric bottom-up saliency detection by self-resemblance," Proc. IEEE CVPR Workshops, pp. 45-52, Jun. 2009.
7. X. Hou, and L. Zhang, "Saliency detection: a spectral residual approach," Proc. IEEE CVPR, pp. 4270292, Jun. 2007.
8. C. Guo, Q. Ma, and L. Zhang, "Spatio-temporal saliency detection using phase spectrum of quaternion Fourier transform," Proc. IEEE CVPR, pp. 4587715, Jun. 2008.
9. T. Liu, J. Sun, N. Zheng, X. Tang, and H. Y. Shum, "Learning to detect a salient object," Proc. IEEE CVPR, pp. 4270072, Jun. 2007.
10. R. Achanta, S. Hemami, F. Estrada, and S. Susstrunk, "Frequency- tuned salient region detection," Proc. IEEE CVPR, pp. 1597-1604, Jun. 2009.
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. R. Valenti, N. Sebe, and T. Gevers, "Isocentric color saliency in images," Proc. IEEE ICIP, pp. 993-996, Nov. 2009.
13. D. Comaniciu, and P. Meer, "Mean shift: A robust approach toward feature space analysis," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 5, pp. 603-619, May 2002.
14. A. Elgammal, R. Duraiswami, D. Harwood, and L. S. Davis, "Background and foreground modeling using nonparametric kernel density estimation for visual surveillance," Proc. IEEE, vol. 90, no. 7, pp. 1151-1163, Jul. 2002.
15. P. Hall, and M. Wand, "On the accuracy of binned kernel estimators," Journal of Multivariate Analysis, vol. 56, no. 2, pp. 165-184, Feb. 1996.
16. D. Walther, and C. Koch, "Modeling attention to salient proto-objects," Neural Networks, vol. 19, no. 9, pp. 1395-1407, Nov. 2006.