Long term video segmentation through pixel level spectral clustering on GPUs

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2011, Pages 475-482

  Sundaram, Narayanan ^a   Keutzer, Kurt ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING TECHNIQUES; COMPUTATIONAL POWER; DATA SETS; MOTION SEGMENTATION; NUMERICAL ALGORITHMS; OPTICAL FLOW ALGORITHM; OVER SEGMENTATION; PIXEL LEVEL; PROBABILISTIC REASONING; SEGMENTATION TECHNIQUES; SPECTRAL CLUSTERING; SPECTRAL SEGMENTATION; SUPERPIXELS; TIME-PERIODS; VIDEO SEGMENTATION;

ALGORITHMS; PIXELS; PROGRAM PROCESSORS; THREE DIMENSIONAL;

IMAGE SEGMENTATION;

EID: 84856645764     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2011.6130281     Document Type: Conference Paper

References (23)

1. P. Arbelaez, M. Maire, C. Fowlkes, and J. Malik. From contours to regions: An empirical evaluation. In CVPR, 2009.
2. W. Brendel and S. Todorovic. Video object segmentation by tracking regions. In ICCV, 2009.
3. T. Brox and J. Malik. Large displacement optical flow:descriptor matching in variational motion estimation. IEEE Transactions on Pattern Analysis and Machine Intel-ligence, August 2010.
4. T. Brox and J. Malik. Object segmentation by long term analysis of point trajectories. In ECCV, 2010.
5. B. C. Catanzaro, B.-Y. Su, N. Sundaram, Y. Lee, M. Murphy, and K. Keutzer. Efficient, high-quality image contour detection. In ICCV, pages 2381-2388, 2009.
6. D. DeMenthon. Spatio-temporal segmentation of video by hierarchical mean shift analysis. In Statistical Methods in Video Processing Workshop, 2002.
7. P. Felzenszwalb and D. Huttenlocker. Efficient graph-based image segmentation. In IJCV, 2004.
8. J. M. Frahm, P. Georgel, D. Gallup, T. Johnson, R. Raguram, C. Wu, Y. H. Jen, E. Dunn, B. Clipp, S. Lazebnik, and M. Pollefeys. Building rome on a cloudless day. In ECCV, 2010.
9. M. Grundmann, V. Kwatra, M. Han, and I. Essa. Efficient hierarchical graph-based video segmentation. CVPR, page 8, June 2010.
10. X. He and A. Yuille. Occlusion boundary detection using pseudo-depth. In ECCV, ECCV'10, pages 539-552, Berlin, Heidelberg, 2010. Springer-Verlag.
11. Y. Huang, Q. Liu, and D. Metaxas. Video object segmentation by hypergraph cut. CVPR, page 8, 2009.
12. M. Maire, P. Arbeĺaez, C. Fowlkes, and J. Malik. Using contours to detect and localize junctions in natural images. CVPR, pages 1-8, June 2008.
13. S. Rao, R. Tron, R. Vidal, and Y. Ma. Motion segmentation via robust subspace separation in the presence of outlying, incomplete or corrupted trajectories. In CVPR, 2008.
14. J. Shi and J. Malik. Motion segmentation and tracking using normalized cuts. ICCV, page 7, 1998.
15. J. Shi and J. Malik. Normalized cuts and image segmentation. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 22(8):888-905, Aug 2000.
16. S. N. Sinha, J. M. Frahm, M. Pollefeys, and Y. Genc. Feature tracking and matching in video using programmable graphics hardware. Machine Vision and Applications, November 2007.
17. A. Stein, D. Hoiem, and M. Hebert. Learning to find object boundaries using motion cues. ICCV, page 8, Aug 2007.
18. N. Sundaram, T. Brox, and K. Keutzer. Dense point trajectories by GPU-accelerated large displacement optical flow. In ECCV, 2010.
19. A. Vazquez-Reina, S. Avidan, H. Pfister, and E. Miller. Multiple hypothesis video segmentation from superpixel flows. ECCV, page 14, 2010.
20. R. Vidal, Y. Ma, and S. Sastry. Generalized principal component analysis. In CVPR, 2003.
21. M. Werlberger, W. Trobin, T. Pock, A. Wedel, D. Cremers, and H. Bischof. Anisotropic Huber-L1 optical flow. In Pro-ceedings of the British Machine Vision Conference (BMVC), London, UK, September 2009.
22. J. Yan and M. Pollefeys. A general framework for motion segmentation: Independent, articulated, rigid, non-rigid, degenerate and non-degenerate. In ECCV, 2006.
23. YouTube. The official youtube blog, May 2011. http://youtube-global. blogspot.com/2011/05/thanks-youtube-community-for-two-big.html.