Accurate semantic image labeling by fast geodesic propagation

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2009, Pages 4021-4024

  Chen, Xiaowu ^a   Zhao, Dongyue ^a   Zhao, Yibiao ^b   Lin, Liang ^c  

^a BEIHANG UNIVERSITY   (China)

^b BEIJING JIAOTONG UNIVERSITY   (China)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Geodesic propagation; Image segmentation; Semantic labeling

Indexed keywords

ALGORITHMS; DIGITAL IMAGE STORAGE; GEODESY; IMAGING SYSTEMS; INFERENCE ENGINES; LABELING; PIXELS; SEMANTICS;

DATA SETS; GEODESIC DISTANCES; GEODESIC PROPAGATION; GRAPHICAL REPRESENTATIONS; IMAGE PIXELS; IMAGE SEMANTICS; INFERENCE ALGORITHM; MEAN SHIFT ALGORITHM; MEGA-PIXEL; SEMANTIC CATEGORY; SEMANTIC IMAGES; SEMANTIC LABELING;

IMAGE SEGMENTATION;

EID: 77951957949     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2009.5413752     Document Type: Conference Paper

References (12)

1. Shotton, J. and Winn, J. and Rother, C. and Criminisi, A., "Texton-Boost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Model Texture, Layout and Context", IJCV, vol. 81, pp. 2-13 , 2007.
2. Tu, Z., "Auto-context and its application for high-level vision tasks," Proc. of CVPR,2008.
3. L. Yang, P. Meer, and D. J. Foran, "Multiple Class Segmentation Using A Unified Framework over Mean-Shift Patches", Proc. of CVPR , 2007.
4. S. Gould, J. Rodgers, D. Cohen, G.Elidan, and D.Koller, "Multi-Class Segmentation with Relative Location Prior", IJCV, vol. 80, pp. 300-316, 2008.
5. Boykov, Y. and Veksler, O. and Zabih, R., "Fast approximate energy minimization via graph cuts", TPAMI, 23(11):1222C 1239, Nov., 2001. (Pubitemid 33137959)
6. Barbu, A. and Zhu, S. C., "Graph Partition by Swendsen-Wang Cuts", Proc. of ICCV, vol. 1, pp. 320-327,2003.
7. Corso, J. and Yuille, A. and Tu, Z., "Graph-Shifts: Natural Image Labeling by Dynamic Hierarchical Computing," Proc. of CVPR,2008.
8. Martin, D.R., Fowlkes, C.C., and Malik, J., "Learning to detect natural image boundaries using local brightness, color, and texture cues", TPAMI, vol. 26, pp. 530-549, 2004.
9. Bai, X. And Sapiro, G., "A Geodesic Framework for Fast Interactive Image and Video Segmentation and Matting," ICCV, pp. 1-8, 2007.
10. Sethian J. A. , "Level Set Methods: Evolving Interfaces in Geometry, Fluid Mechanics", Computer Vision and Materials Sciences. Cambridge Univ. Press, 1996.
11. Yatziv, L., Bartesaghi, A., and Sapiro, G., "O(n) implementation of the fast marching algorithm", Journal of Computational Physics, 212, 393-399, 2006.
12. Yao, Z. and Yang, X. and Zhu, S. C. "Introduction to a Large Scale General Purpose Ground Truth Dataset: Methodology, Annotation Tool, and Benchmarks", In Proc. of EMMCVPR, 2007.