Image labeling by multiple segmentation

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2011, Pages 3129-3132

  Zhou, Quan ^a   Yan, Canxiang ^a   Zhu, Yingying ^a   Bai, Xiang ^a   Liu, Wenyu ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

classification; feature selection; Image labeling; segmentation

Indexed keywords

BAG OF FEATURES; CLASSIFICATION RESULTS; CONTEXTUAL CUE; DATA SETS; DISCRIMINATIVE MODELS; IMAGE LABELING; IMAGE REGIONS; LEARNING PROCESS; LOCAL FEATURE; MULTIPLE SEGMENTATION; SEMANTIC LABELS; STATE-OF-THE-ART METHODS;

CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; SEMANTICS;

IMAGE SEGMENTATION;

EID: 84863068312     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2011.6116329     Document Type: Conference Paper

References (13)

1. J. Shotton, J.W. Winn, C. Rother, and A. Criminisi, "Texton-boost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context," IJCV, vol. 81, no. 1, pp. 2-23, 2009.
2. Z.W. Tu and X. Bai, "Auto-context and its application to high-level vision tasks and 3d brain image segmentation," IEEE Trans. PAMI, vol. 32, no. 10, pp. 1744-1757, 2010.
3. S. Gould, J. Rodgers, D. Cohen, G. Elidan, and D. Koller, "Multi-class segmentation with relative location prior," IJCV, vol. 80, no. 3, pp. 1239-1253, 2008.
4. J. Lafferty, A. McCallum, and F. Pereira, "Conditional random fields: probabilistic models for segmenting and labeling sequence data," in ICML, 2001, pp. 282-289.
5. C. Galleguillos, A. Rabinovich, and S. Belongie, "Object categorization using co-occurrence, location and appearance," in CVPR. IEEE, 2008, pp. 1-8.
6. D. Hoiem, A.A. Efros, and M. Hebert, "Geometric context from a single image," in ICCV. IEEE, 2005, pp. 654-661.
7. X.M. He, R.S. Zemel, and D. Ray, "Learning and incorporating top-down cues in image segmentation," in ECCV. Springer, 2006, pp. 338-351. (Pubitemid 44029790)
8. L. Yang, P. Meer, and D.J. Foran, "Multiple class segmentation using a unified framework over mean-shift patches," in CVPR. IEEE, 2007, pp. 1-8.
9. D. Comaniciu and P. Meer, "Mean shift: A robust approach toward feature space analysis," IEEE Trans. PAMI, vol. 24, no. 5, pp. 603-619, 2002. (Pubitemid 34550429)
10. C. Elkan, "Using the triangle inequality to accelerate k-means," in ICML, 2003, pp. 147-153.
11. M. Collins, R. Schapire, and Y. Singer, "Logistic regression, adaboost and bregman distances.," Machine Learning, vol. 48, no. 1-3, pp. 253-285, 2002. (Pubitemid 34247580)
12. B. Yao, X. Yang, and S.C. Zhu, "Introduction to a large scale general purpose groundtruth dataset: Methodology, annotation tool, and benchmark," in EMMCVPR, 2007.
13. S. Gould, R. Fulton, and D. Koller, "Decomposing a scene into geometric and semantically consistent regions," in ICCV. IEEE, 2009, pp. 1-8.