메뉴 건너뛰기




Volumn 24, Issue 5, 2014, Pages 789-801

Unsupervised multiclass region cosegmentation via ensemble clustering and energy minimization

Author keywords

Cosegmentation; graph cut; multiclass regions

Indexed keywords

NETWORKS (CIRCUITS); VIDEO SIGNAL PROCESSING;

EID: 84900542752     PISSN: 10518215     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSVT.2013.2280851     Document Type: Article
Times cited : (40)

References (60)
  • 1
    • 77951097253 scopus 로고    scopus 로고
    • A robust object segmentation system using a probability-based background extraction algorithm
    • Dec.
    • C.-C. Chiu, M.-Y. Ku, and L.-W. Liang, "A robust object segmentation system using a probability-based background extraction algorithm," IEEE Trans. Circuits Syst. Video Technol., vol. 20, no. 4, pp. 518-528, Dec. 2010.
    • (2010) IEEE Trans. Circuits Syst. Video Technol. , vol.20 , Issue.4 , pp. 518-528
    • Chiu, C.-C.1    Ku, M.-Y.2    Liang, L.-W.3
  • 2
    • 43049162438 scopus 로고    scopus 로고
    • Modeling background and segmenting moving objects from compressed video
    • May
    • W. Wang, J. Yang, and W. Gao, "Modeling background and segmenting moving objects from compressed video," IEEE Trans. Circuits Syst. Video Technol., vol. 18, no. 5, pp. 670-680, May 2008.
    • (2008) IEEE Trans. Circuits Syst. Video Technol. , vol.18 , Issue.5 , pp. 670-680
    • Wang, W.1    Yang, J.2    Gao, W.3
  • 3
    • 36549048864 scopus 로고    scopus 로고
    • Unsupervised video segmentation with low depth of field
    • DOI 10.1109/TCSVT.2007.903326
    • H. Li and K. N. Ngan, "Unsupervised video segmentation with low depth of field," IEEE Trans. Circuits Syst. Video Technol., vol. 17, no. 12, pp. 1742-1751, Dec. 2007. (Pubitemid 350183925)
    • (2007) IEEE Transactions on Circuits and Systems for Video Technology , vol.17 , Issue.12 , pp. 1742-1751
    • Li, H.1    Ngan, K.N.2
  • 4
    • 80455178888 scopus 로고    scopus 로고
    • Learning to extract focused object from low DOF images
    • Nov.
    • H. Li and K. N. Ngan, "Learning to extract focused object from low DOF images," IEEE Trans. Circuits Syst. Video Technol., vol. 21, no. 11, pp. 1571-1580, Nov. 2011.
    • (2011) IEEE Trans. Circuits Syst. Video Technol. , vol.21 , Issue.11 , pp. 1571-1580
    • Li, H.1    Ngan, K.N.2
  • 13
    • 84856636112 scopus 로고    scopus 로고
    • Distributed cosegmentation via submodular optimization on anisotropic diffusion
    • Nov.
    • G. Kim, E. P. Xing, L. Fei-Fei, and T. Kanade, "Distributed cosegmentation via submodular optimization on anisotropic diffusion," in Proc. IEEE Int. Conf. Comput. Vision, Nov. 2011, pp. 169-176.
    • (2011) Proc. IEEE Int. Conf. Comput. Vision , pp. 169-176
    • Kim, G.1    Xing, E.P.2    Fei-Fei, L.3    Kanade, T.4
  • 14
    • 84866392799 scopus 로고    scopus 로고
    • Object cosegmentation based on shortest path algorithm and saliency model
    • Oct.
    • F. Meng, H. Li, G. Liu, and K. N. Ngan, "Object cosegmentation based on shortest path algorithm and saliency model," IEEE Trans. Multimedia, vol. 14, no. 5, pp. 1429-1441, Oct. 2012.
    • (2012) IEEE Trans. Multimedia , vol.14 , Issue.5 , pp. 1429-1441
    • Meng, F.1    Li, H.2    Liu, G.3    Ngan, K.N.4
  • 15
    • 84885155947 scopus 로고    scopus 로고
    • Image cosegmentation by incorporating color reward strategy and active contours model
    • Apr.
    • F. Meng, H. Li, G. Liu, and K. N. Ngan, "Image cosegmentation by incorporating color reward strategy and active contours model," IEEE Trans. Cybern., vol. 43, no. 2, pp. 725-737, Apr. 2013.
    • (2013) IEEE Trans. Cybern. , vol.43 , Issue.2 , pp. 725-737
    • Meng, F.1    Li, H.2    Liu, G.3    Ngan, K.N.4
  • 17
    • 33745885960 scopus 로고    scopus 로고
    • Common pattern discovery using earth mover's distance and local flow maximization
    • DOI 10.1109/ICCV.2005.58, 1544860, Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005
    • H.-K. Tan and C.-W. Ngo, "Common pattern discovery using earth movers distance and local flow maximization," in Proc. IEEE Int. Conf. Comput. Vision, Oct. 2005, pp. 1222-1229. (Pubitemid 44042320)
    • (2005) Proceedings of the IEEE International Conference on Computer Vision , vol.II , pp. 1222-1229
    • Tan, H.-K.1    Ngo, C.-W.2
  • 18
    • 50649111840 scopus 로고    scopus 로고
    • Spatial random partition for common visual pattern discovery
    • Oct.
    • J. Yuan and Y. Wu, "Spatial random partition for common visual pattern discovery," in Proc. IEEE Int. Conf. Comput. Vision, Oct. 2007, pp. 1-8.
    • (2007) Proc. IEEE Int. Conf. Comput. Vision , pp. 1-8
    • Yuan, J.1    Wu, Y.2
  • 19
    • 56749096269 scopus 로고    scopus 로고
    • Corecognition of image pairs by data-driven Monte Carlo image exploration
    • Oct.
    • M. Cho, Y. M. Shin, and K. M. Lee, "Corecognition of image pairs by data-driven Monte Carlo image exploration," in Proc. Eur. Conf. Comput. Vision, Oct. 2008, pp. 144-157.
    • (2008) Proc. Eur. Conf. Comput. Vision , pp. 144-157
    • Cho, M.1    Shin, Y.M.2    Lee, K.M.3
  • 20
    • 82055163013 scopus 로고    scopus 로고
    • A cosaliency model of image pairs
    • Dec.
    • H. Li and K. N. Ngan, "A cosaliency model of image pairs," IEEE Trans. Image Process., vol. 20, no. 12, pp. 3365-3375, Dec. 2011.
    • (2011) IEEE Trans. Image Process. , vol.20 , Issue.12 , pp. 3365-3375
    • Li, H.1    Ngan, K.N.2
  • 22
    • 80052910219 scopus 로고    scopus 로고
    • From cosaliency to cosegmentation: An efficient and fully unsupervised energy minimization model
    • Jun.
    • K. Chang, T. Liu, and S. Lai, "From cosaliency to cosegmentation: An efficient and fully unsupervised energy minimization model," in Proc. IEEE Conf. Comput. Vision Pattern Recognit., Jun. 2011, pp. 2129-2136.
    • (2011) Proc. IEEE Conf. Comput. Vision Pattern Recognit. , pp. 2129-2136
    • Chang, K.1    Liu, T.2    Lai, S.3
  • 24
    • 84867872671 scopus 로고    scopus 로고
    • Analyzing the subspace structure of related images: Concurrent segmentation of image sets
    • Oct.
    • L. Mukherjee, V. S. Singh, J. Xu, and M. D. Collins, "Analyzing the subspace structure of related images: Concurrent segmentation of image sets," in Proc. Eur. Conf. Comput. Vision, Oct. 2012, pp. 128-142.
    • (2012) Proc. Eur. Conf. Comput. Vision , pp. 128-142
    • Mukherjee, L.1    Singh, V.S.2    Xu, J.3    Collins, M.D.4
  • 25
    • 84866708735 scopus 로고    scopus 로고
    • Random walks for multiimage segmentation: Quasiconvexity results and GPU-based solutions
    • Jun.
    • M. D. Collins, J. Xu, L. J. Grady, and V. Singh, "Random walks for multiimage segmentation: Quasiconvexity results and GPU-based solutions," in Proc. Conf. Comput. Vision Pattern Recognit., Jun. 2012, pp. 1656-1663.
    • (2012) Proc. Conf. Comput. Vision Pattern Recognit. , pp. 1656-1663
    • Collins, M.D.1    Xu, J.2    Grady, L.J.3    Singh, V.4
  • 29
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant key-points
    • D. Lowe, "Distinctive image features from scale-invariant key-points," Int. J. Comput. Vision, vol. 60, no. 2, pp. 91-110, 2004.
    • (2004) Int. J. Comput. Vision , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.1
  • 30
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boostin
    • J. Friedman, T. Hastie, and R. Tibshirani, "Additive logistic regression: A statistical view of boosting," Ann. Stat. vol. 28, no. 2, pp. 337-407, 2000. (Pubitemid 33227445)
    • (2000) Annals of Statistics , vol.28 , Issue.2 SPI , pp. 337-407
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 31
    • 0035478854 scopus 로고    scopus 로고
    • Random forest
    • Oct.
    • L. Breiman, "Random forest," Mach. Learn., vol. 45, no. 1, pp. 5-32, Oct. 2001.
    • (2001) Mach. Learn. , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 33
    • 1942517297 scopus 로고    scopus 로고
    • Random projection for high dimensional data clustering: A cluster ensemble approach
    • Aug.
    • X. Zhang and C. E. Brodley, "Random projection for high dimensional data clustering: A cluster ensemble approach," in Proc. 20th Int. Conf. Mach. Learn., Aug. 2003, pp. 186-193.
    • (2003) Proc. 20th Int. Conf. Mach. Learn. , pp. 186-193
    • Zhang, X.1    Brodley, C.E.2
  • 35
    • 33847172327 scopus 로고    scopus 로고
    • Clustering by passing messages between data points
    • DOI 10.1126/science.1136800
    • B. J. Frey and D. Dueck, "Clustering by passing messages between data points," Science, vol. 315, no. 5814, pp. 972-976, Feb. 2007. (Pubitemid 46281181)
    • (2007) Science , vol.315 , Issue.5814 , pp. 972-976
    • Frey, B.J.1    Dueck, D.2
  • 36
    • 84863367863 scopus 로고    scopus 로고
    • Robust principal component analysis: Exact recovery of corrupted low-rank matrices by convex optimization
    • Dec.
    • J. Wright, Y. Peng, Y. Ma, A. Ganesh, and S. Rao, "Robust principal component analysis: Exact recovery of corrupted low-rank matrices by convex optimization," in Proc. Neural Inf. Process. Syst., Dec. 2009, pp. 2080-2088.
    • (2009) Proc. Neural Inf. Process. Syst. , pp. 2080-2088
    • Wright, J.1    Peng, Y.2    Ma, Y.3    Ganesh, A.4    Rao, S.5
  • 38
    • 4344598245 scopus 로고    scopus 로고
    • An experimental comparison of mincut/max-flow algorithms for energy minimization in vision
    • Sep.
    • Y. Boykov and V. Kolmogorov, "An experimental comparison of mincut/max-flow algorithms for energy minimization in vision," IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 9, pp. 1124-1137, Sep. 2004.
    • (2004) IEEE Trans. Pattern Anal. Mach. Intell. , vol.26 , Issue.9 , pp. 1124-1137
    • Boykov, Y.1    Kolmogorov, V.2
  • 42
    • 0030779611 scopus 로고    scopus 로고
    • Sparse coding with an overcomplete basis set: A strategy employed by V1?
    • DOI 10.1016/S0042-6989(97)00169-7, PII S0042698997001697
    • B. Olshausen and D. Field, "Sparse coding with an overcomplete basis set: A strategy employed by v1?" Vision Res., vol. 37, no. 23, pp. 3311-3325, 1997. (Pubitemid 27493805)
    • (1997) Vision Research , vol.37 , Issue.23 , pp. 3311-3325
    • Olshausen, B.A.1    Field, D.J.2
  • 44
    • 77955999577 scopus 로고    scopus 로고
    • FaceSeg: Automatic face segmentation for real-time video
    • Jan.
    • H. Li, K. N. Ngan, and Q. Liu, "FaceSeg: Automatic face segmentation for real-time video," IEEE Trans. Multimedia, vol. 11, no. 1, pp. 77-88, Jan. 2009.
    • (2009) IEEE Trans. Multimedia , vol.11 , Issue.1 , pp. 77-88
    • Li, H.1    Ngan, K.N.2    Liu, Q.3
  • 50
  • 56
    • 85078986900 scopus 로고    scopus 로고
    • Class segmentation and object localization with superpixel neighborhoods
    • Sep.-Oct.
    • B. Fulkerson, A. Vedaldi, and S. Soatto, "Class segmentation and object localization with superpixel neighborhoods," in Proc. IEEE Int. Conf. Comput. Vision, Sep.-Oct. 2009, pp. 670-677.
    • (2009) Proc. IEEE Int. Conf. Comput. Vision , pp. 670-677
    • Fulkerson, B.1    Vedaldi, A.2    Soatto, S.3
  • 60
    • 84888312735 scopus 로고    scopus 로고
    • Cosalient object detection from multiple images
    • Dec.
    • H. Li, F. Meng, and K. N. Ngan, "Cosalient object detection from multiple images," IEEE Trans. Multimedia, vol. 15, no. 8, pp. 1-14, Dec. 2013.
    • (2013) IEEE Trans. Multimedia , vol.15 , Issue.8 , pp. 1-14
    • Li, H.1    Meng, F.2    Ngan, K.N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.