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Volumn , Issue , 2013, Pages 2451-2458

A fully-connected layered model of foreground and background flow

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK DATASETS; COMPUTATIONAL COSTS; CONDITIONAL RANDOM FIELD; GAUSSIAN FILTERING; INFERENCE ALGORITHM; LONG RANGE CORRELATIONS; LONG-RANGE CONNECTION; SCENE SEGMENTATION;

EID: 84887353574     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.317     Document Type: Conference Paper
Times cited : (89)

References (33)
  • 1
    • 77952844108 scopus 로고    scopus 로고
    • Fast high-dimensional filtering using the permutohedral lattice
    • 2, 4
    • A. Adams, J. Baek, and M. A. Davis. Fast high-dimensional filtering using the permutohedral lattice. Comput. Graph. Forum, 29(2):753-762, 2010. 2, 4
    • (2010) Comput. Graph. Forum , vol.29 , Issue.2 , pp. 753-762
    • Adams, A.1    Baek, J.2    Davis, M.A.3
  • 2
    • 78149305528 scopus 로고    scopus 로고
    • Dynamic color flow: A motionadaptive color model for object segmentation in video
    • 2
    • X. Bai, J. Wang, and G. Sapiro. Dynamic color flow: A motionadaptive color model for object segmentation in video. In ECCV, pages V:617-630, 2010. 2
    • (2010) ECCV , vol.5 , pp. 617-630
    • Bai, X.1    Wang, J.2    Sapiro, G.3
  • 3
    • 70349705448 scopus 로고    scopus 로고
    • Video snapcut: Robust video object cutout using localized classifiers
    • 6
    • X. Bai, J. Wang, D. Simons, and G. Sapiro. Video snapcut: Robust video object cutout using localized classifiers. In SIGGRAPH, pages 70:1-70:11, 2009. 6
    • (2009) SIGGRAPH , pp. 701-7011
    • Bai, X.1    Wang, J.2    Simons, D.3    Sapiro, G.4
  • 4
    • 0035509961 scopus 로고    scopus 로고
    • Fast approximate energy minimization via graph cuts
    • Nov. 2
    • Y. Boykov, O. Veksler, and R. Zabih. Fast approximate energy minimization via graph cuts. PAMI, 23(11):1222-1239, Nov 2001. 2
    • (2001) PAMI , vol.23 , Issue.11 , pp. 1222-1239
    • Boykov, Y.1    Veksler, O.2    Zabih, R.3
  • 5
    • 24644478715 scopus 로고    scopus 로고
    • A non-local algorithm for image denoising
    • 2
    • A. Buades, B. Coll, and J. Morel. A non-local algorithm for image denoising. In CVPR, pages 2:60-65, 2005. 2
    • (2005) CVPR , vol.2 , pp. 60-65
    • Buades, A.1    Coll, B.2    Morel, J.3
  • 6
    • 84867723178 scopus 로고    scopus 로고
    • A naturalistic open source movie for optical flow evaluation
    • 7
    • D. J. Butler, J. Wulff, G. B. Stanley, and M. J. Black. A naturalistic open source movie for optical flow evaluation. In ECCV, IV, pages 611-625, 2012. 7
    • (2012) ECCV , vol.4 , pp. 611-625
    • Butler, D.J.1    Wulff, J.2    Stanley, G.B.3    Black, M.J.4
  • 7
    • 33748535992 scopus 로고    scopus 로고
    • Bilayer segmentation of live video
    • 2
    • A. Criminisi, G. Cross, A. Blake, and V. Kolmogorov. Bilayer segmentation of live video. In CVPR, pages 1:53-60, 2006. 2
    • (2006) CVPR , vol.1 , pp. 53-60
    • Criminisi, A.1    Cross, G.2    Blake, A.3    Kolmogorov, V.4
  • 8
    • 0029308942 scopus 로고
    • Cooperative robust estimation using layers of support
    • 1
    • T. Darrell and A. Pentland. Cooperative robust estimation using layers of support. PAMI, 17(5):474-487, 1995. 1
    • (1995) PAMI , vol.17 , Issue.5 , pp. 474-487
    • Darrell, T.1    Pentland, A.2
  • 9
    • 25844482570 scopus 로고    scopus 로고
    • A comparison of algorithms for inference and learning in probabilistic graphical models
    • Sept. 4
    • B. Frey and N. Jojic. A comparison of algorithms for inference and learning in probabilistic graphical models. PAMI, 27(9):1392-1416, Sept. 2005. 4
    • (2005) PAMI , vol.27 , Issue.9 , pp. 1392-1416
    • Frey, B.1    Jojic, N.2
  • 10
    • 57049132103 scopus 로고    scopus 로고
    • Nonlocal operators with applications to image processing
    • 1
    • G. Gilboa and S. Osher. Nonlocal operators with applications to image processing. ACM MMS, 7:1005-1028, 2008. 1
    • (2008) ACM MMS , vol.7 , pp. 1005-1028
    • Gilboa, G.1    Osher, S.2
  • 11
    • 85156240585 scopus 로고    scopus 로고
    • Stable fixed points of loopy belief propagation are local minima of the bethe free energy
    • 5
    • T. Heskes. Stable fixed points of loopy belief propagation are local minima of the bethe free energy. In NIPS, pages 343-350, 2002. 5
    • (2002) NIPS , pp. 343-350
    • Heskes, T.1
  • 12
    • 0027882076 scopus 로고
    • Mixture models for optical flow computation
    • 1, 2
    • A. Jepson and M. J. Black. Mixture models for optical flow computation. In CVPR, pages 760-761, 1993. 1, 2
    • (1993) CVPR , pp. 760-761
    • Jepson, A.1    Black, M.J.2
  • 13
    • 0035686705 scopus 로고    scopus 로고
    • Learning flexible sprites in video layers
    • 2
    • N. Jojic and B. Frey. Learning flexible sprites in video layers. In CVPR, pages I:199-206, 2001. 2
    • (2001) CVPR , vol.1 , pp. 199-206
    • Jojic, N.1    Frey, B.2
  • 14
    • 61349174704 scopus 로고    scopus 로고
    • Robust higher order potentials for enforcing label consistency
    • 2
    • P. Kohli, L. Ladicky, and P. H. S. Torr. Robust higher order potentials for enforcing label consistency. IJCV, 82(3):302-324, 2009. 2
    • (2009) IJCV , vol.82 , Issue.3 , pp. 302-324
    • Kohli, P.1    Ladicky, L.2    Torr, P.H.S.3
  • 15
    • 85162351107 scopus 로고    scopus 로고
    • Efficient inference in fully connected crfs with gaussian edge potentials
    • 1, 2, 3, 4, 7
    • P. Krähenbühl and V. Koltun. Efficient inference in fully connected crfs with gaussian edge potentials. In NIPS, pages 109-117, 2011. 1, 2, 3, 4, 7
    • (2011) NIPS , pp. 109-117
    • Krähenbühl, P.1    Koltun, V.2
  • 16
    • 84867851128 scopus 로고    scopus 로고
    • Efficient nonlocal regularization for optical flow
    • 1
    • P. Krähenbühl and V. Koltun. Efficient nonlocal regularization for optical flow. In ECCV, pages I:356-369, 2012. 1
    • (2012) ECCV , vol.1 , pp. 356-369
    • Krähenbühl, P.1    Koltun, V.2
  • 17
    • 0035246564 scopus 로고    scopus 로고
    • Factor graphs and the sum-product algorithm
    • Feb. 2
    • F. Kschischang, B. Frey, and H.-A. Loeliger. Factor graphs and the sum-product algorithm. IEEE Trans. IT, 47(2):498-519, Feb 2001. 2
    • (2001) IEEE Trans. IT , vol.47 , Issue.2 , pp. 498-519
    • Kschischang, F.1    Frey, B.2    Loeliger, H.-A.3
  • 18
    • 38349150849 scopus 로고    scopus 로고
    • Learning layered motion segmentations of video
    • March. 2
    • M. Kumar, P. Torr, and A. Zisserman. Learning layered motion segmentations of video. IJCV, 76(3):301-319, March 2008. 2
    • (2008) IJCV , vol.76 , Issue.3 , pp. 301-319
    • Kumar, M.1    Torr, P.2    Zisserman, A.3
  • 19
    • 33745818928 scopus 로고    scopus 로고
    • Efficient belief propagation with learned higher-order markov random fields
    • 2
    • X. Lan, S. Roth, D. P. Huttenlocher, and M. J. Black. Efficient belief propagation with learned higher-order markov random fields. In ECCV, pages 269-282, 2006. 2
    • (2006) ECCV , pp. 269-282
    • Lan, X.1    Roth, S.2    Huttenlocher, D.P.3    Black, M.J.4
  • 20
    • 51949102979 scopus 로고    scopus 로고
    • FusionFlow: Discretecontinuous optimization for optical flow estimation
    • 5
    • V. Lempitsky, S. Roth, and C. Rother. FusionFlow: Discretecontinuous optimization for optical flow estimation. In CVPR, pages 1-8, 2008. 5
    • (2008) CVPR , pp. 1-8
    • Lempitsky, V.1    Roth, S.2    Rother, C.3
  • 21
    • 70450184098 scopus 로고    scopus 로고
    • Global connectivity potentials for random field models
    • 1
    • S. Nowozin and C. H. Lampert. Global connectivity potentials for random field models. In CVPR, pages 818-825, 2009. 1
    • (2009) CVPR , pp. 818-825
    • Nowozin, S.1    Lampert, C.H.2
  • 22
    • 84866715415 scopus 로고    scopus 로고
    • Higher order motion models and spectral clustering
    • 2
    • P. Ochs and T. Brox. Higher order motion models and spectral clustering. In CVPR, pages 614-621, 2012. 2
    • (2012) CVPR , pp. 614-621
    • Ochs, P.1    Brox, T.2
  • 23
    • 58049134708 scopus 로고    scopus 로고
    • A fast approximation of the bilateral filter using a signal processing approach
    • Jan. 4
    • S. Paris and F. Durand. A fast approximation of the bilateral filter using a signal processing approach. IJCV, 81(1):24-52, Jan. 2009. 4
    • (2009) IJCV , vol.81 , Issue.1 , pp. 24-52
    • Paris, S.1    Durand, F.2
  • 24
    • 60449120149 scopus 로고    scopus 로고
    • Fields of experts
    • Apr. 2
    • S. Roth and M. J. Black. Fields of experts. IJCV, 82(2):205-229, Apr. 2009. 2
    • (2009) IJCV , vol.82 , Issue.2 , pp. 205-229
    • Roth, S.1    Black, M.J.2
  • 25
    • 77955989832 scopus 로고    scopus 로고
    • Secrets of optical flow estimation and their principles
    • 5, 7
    • D. Sun, S. Roth, and M. J. Black. Secrets of optical flow estimation and their principles. In CVPR, pages 2432-2439, 2010. 5, 7
    • (2010) CVPR , pp. 2432-2439
    • Sun, D.1    Roth, S.2    Black, M.J.3
  • 26
    • 85161961413 scopus 로고    scopus 로고
    • Layered image motion with explicit occlusions, temporal consistency, and depth ordering
    • 2, 3, 5, 7
    • D. Sun, E. B. Sudderth, and M. J. Black. Layered image motion with explicit occlusions, temporal consistency, and depth ordering. In NIPS, pages 2226-2234, 2010. 2, 3, 5, 7
    • (2010) NIPS , pp. 2226-2234
    • Sun, D.1    Sudderth, E.B.2    Black, M.J.3
  • 27
    • 84866657285 scopus 로고    scopus 로고
    • Layered segmentation and optical flow estimation over time
    • 1, 2, 3, 5, 7
    • D. Sun, E. B. Sudderth, and M. J. Black. Layered segmentation and optical flow estimation over time. In CVPR, pages 1768-1775, 2012. 1, 2, 3, 5, 7
    • (2012) CVPR , pp. 1768-1775
    • Sun, D.1    Sudderth, E.B.2    Black, M.J.3
  • 28
    • 43249091850 scopus 로고    scopus 로고
    • A comparative study of energy minimization methods for markov random fields with smoothness-based priors
    • 2
    • R. Szeliski, R. Zabih, D. Scharstein, O. Veksler, V. Kolmogorov, A. Agarwala, M. F. Tappen, and C. Rother. A comparative study of energy minimization methods for markov random fields with smoothness-based priors. PAMI, 30(6):1068-1080, 2008. 2
    • (2008) PAMI , vol.30 , Issue.6 , pp. 1068-1080
    • Szeliski, R.1    Zabih, R.2    Scharstein, D.3    Veksler, O.4    Kolmogorov, V.5    Agarwala, A.6    Tappen, M.F.7    Rother, C.8
  • 29
    • 84866675418 scopus 로고    scopus 로고
    • Joint motion estimation and segmentation of complex scenes with label costs and occlusion modeling
    • 2
    • M. Unger, M. Werlberger, T. Pock, and H. Bischof. Joint motion estimation and segmentation of complex scenes with label costs and occlusion modeling. In CVPR, pages 1878-1885, 2012. 2
    • (2012) CVPR , pp. 1878-1885
    • Unger, M.1    Werlberger, M.2    Pock, T.3    Bischof, H.4
  • 30
    • 0028498068 scopus 로고
    • Representing moving images with layers
    • Sept. 1, 2
    • J. Y. A. Wang and E. H. Adelson. Representing moving images with layers. IEEE Trans. IP, 3(5):625-638, Sept. 1994. 1, 2
    • (1994) IEEE Trans. IP , vol.3 , Issue.5 , pp. 625-638
    • Wang, J.Y.A.1    Adelson, E.H.2
  • 31
    • 0029706940 scopus 로고    scopus 로고
    • A unified mixture framework for motion segmentation: Incorporating spatial coherence and estimating the number of models
    • 1, 2
    • Y. Weiss and E. Adelson. A unified mixture framework for motion segmentation: Incorporating spatial coherence and estimating the number of models. In CVPR, pages 321-326, 1996. 1, 2
    • (1996) CVPR , pp. 321-326
    • Weiss, Y.1    Adelson, E.2
  • 32
    • 84865609390 scopus 로고    scopus 로고
    • Motion detail preserving optical flow estimation
    • 7
    • L. Xu, J. Jia, and Y. Matsushita. Motion detail preserving optical flow estimation. PAMI, 34(9):1744-1757, 2012. 7
    • (2012) PAMI , vol.34 , Issue.9 , pp. 1744-1757
    • Xu, L.1    Jia, J.2    Matsushita, Y.3
  • 33
    • 84866662367 scopus 로고    scopus 로고
    • Efficient inference for fully-connected crfs with stationarity
    • 2
    • Y. Zhang and T. Chen. Efficient inference for fully-connected crfs with stationarity. In CVPR, pages 582-589, 2012. 2
    • (2012) CVPR , pp. 582-589
    • Zhang, Y.1    Chen, T.2


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