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Volumn , Issue , 2007, Pages 136-141

Efficient label propagation for interactive image segmentation

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BOOLEAN FUNCTIONS; ELECTRIC NETWORK ANALYSIS; HIDDEN MARKOV MODELS; IMAGE PROCESSING; ITERATIVE METHODS; LABELING; LABELS; LEARNING SYSTEMS; PIXELS; ROBOT LEARNING;

EID: 47349108031     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2007.43     Document Type: Conference Paper
Times cited : (17)

References (18)
  • 1
    • 0034844730 scopus 로고    scopus 로고
    • Interactive Graph Cuts for Optimal Boundary & Region Segmentation of Objects in N-D Images
    • Y. Boykov, M. -P. Jolly. Interactive Graph Cuts for Optimal Boundary & Region Segmentation of Objects in N-D Images. Proceedings of ICCV 2001. 2001. 1
    • (2001) Proceedings of ICCV 2001 , pp. 1
    • Boykov, Y.1    Jolly, M.-P.2
  • 5
    • 33846207510 scopus 로고    scopus 로고
    • L. Grady. Random Walks for Image Segmentation. IEEE Trans. on Pattern Analysis and Machine Intelligence, 28, No. 11, pp. 1768-1783, Nov., 2006. 1, 2, 6
    • L. Grady. Random Walks for Image Segmentation. IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 28, No. 11, pp. 1768-1783, Nov., 2006. 1, 2, 6
  • 6
    • 33745133745 scopus 로고    scopus 로고
    • Multilabel Random Walker Image Segmentation Using Prior Models
    • L. Grady. Multilabel Random Walker Image Segmentation Using Prior Models. Proceedings of IEEE CVPR. 2005.
    • (2005) Proceedings of IEEE CVPR
    • Grady, L.1
  • 11
    • 84877632511 scopus 로고    scopus 로고
    • GrabCut - Interactive Foreground Extraction Using Iterated Graph Cuts
    • C. Rother, V. Kolmogorov, A. Blake. "GrabCut" - Interactive Foreground Extraction Using Iterated Graph Cuts. Proceedings of ACM SIGGRAPH, 2004. 1
    • (2004) Proceedings of ACM SIGGRAPH , pp. 1
    • Rother, C.1    Kolmogorov, V.2    Blake, A.3
  • 15
    • 33845581114 scopus 로고    scopus 로고
    • Semi-Supervised Classification Using Linear Neighborhood Propagation
    • F. Wang, J. Wang, C. Zhang, H. Shen. Semi-Supervised Classification Using Linear Neighborhood Propagation. Proceedings of IEEE CVPR. 2006. 2
    • (2006) Proceedings of IEEE CVPR , pp. 2
    • Wang, F.1    Wang, J.2    Zhang, C.3    Shen, H.4
  • 16
    • 26444592207 scopus 로고    scopus 로고
    • Tech report CMU-CALD-02-107
    • X. Zhu, Z. Ghahramani. Learning from Labeled and Unlabeled Data with Label Propagation. Tech report CMU-CALD-02-107, 2002 1, 2, 5
    • (2002) , vol.1 , Issue.2 , pp. 5
    • Zhu, X.1    Ghahramani, Z.2
  • 17
    • 33749596705 scopus 로고    scopus 로고
    • Semi-Supervised Learning: From Gaussian Fields to Gaussian Process
    • Carnegie Mellon University, CMU-CS-03-175. 2003. 2
    • X. Zhu, J. Lafferty, Z. Ghahramani. Semi-Supervised Learning: From Gaussian Fields to Gaussian Process. Computer Science Technical Report, Carnegie Mellon University, CMU-CS-03-175. 2003. 2
    • Computer Science Technical Report
    • Zhu, X.1    Lafferty, J.2    Ghahramani, Z.3
  • 18
    • 1942484430 scopus 로고    scopus 로고
    • X. Zhu, Z. Ghahramani, J. Lafferty. Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions. Proceedings of the 20th ICML. 2003. 4
    • X. Zhu, Z. Ghahramani, J. Lafferty. Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions. Proceedings of the 20th ICML. 2003. 4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.