Video segmentation with just a few strokes

Proceedings of the IEEE International Conference on Computer Vision

Volumn 2015 International Conference on Computer Vision, ICCV 2015, Issue , 2015, Pages 3235-3243

  Nagaraja, Naveen Shankar ^a   Schmidt, Frank R ^a   Brox, Thomas ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; IMAGE SEGMENTATION;

BENCHMARK DATASETS; COLOR DISTRIBUTION; MOTION SEGMENTATION; POINT TRAJECTORY; SEGMENTATION QUALITY; USER INTERACTION; VIDEO DATASETS; VIDEO SEGMENTATION;

COMPUTER VISION;

EID: 84973866762     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2015.370     Document Type: Conference Paper

References (29)

1. V. Badrinarayanan, F. Galasso, and R. Cipolla. Label propagation in video sequences. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.
2. X. Bai, J. Wang, D. Simons, and G. Sapiro. Video snapcut: Robust video object cutout using localized classifiers. ACM Trans. Graph., 28(3):70:1-70:11, July 2009.
3. W. Brendel and S. Todorovic. Video object segmentation by tracking regions. In IEEE International Conference on Computer Vision (ICCV), 2009.
4. T. Brox and J. Malik. Large displacement optical flow: descriptor matching in variational motion estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(3):500-513, 2011.
5. I. Budvytis, V. Badrinarayanan, and R. Cipolla. Semisupervised video segmentation using tree structured graphical models. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.
6. A. Chambolle and T. Pock. A first-order primal-dual algorithm for convex problems with applications to imaging. J. Math. Imaging Vis., 40(1):120-145, may 2011.
7. P. Chockalingam, N. Pradeep, and S. Birchfield. Adaptive fragments-based tracking of non-rigid objects using level sets. In IEEE International Conference on Computer Vision (ICCV), 2009.
8. A. Fathi, M. F. Balcan, X. Ren, and J. M. Rehg. Combining self training and active learning for video segmentation. In British Machine Vision Conference (BMVC), 2011.
9. F. Galasso, N. Nagaraja, T. Cardenas, T. Brox, and B. Schiele. A unified video segmentation benchmark: Annotation, metrics and analysis. In IEEE International Conference on Computer Vision (ICCV), 2013.
10. M. Godec, P. Roth, and H. Bischof. Hough-based tracking of non-rigid objects. Computer Vision and Image Understanding, 2013.
11. L. Gorelick, F. R. Schmidt, and Y. Boykov. Fast trust region for segmentation. In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
12. L. Grady. Random walks for image segmentation. IEEE Trans. on Pattern Analysis and Machine Intelligence, 28:1768-1783, 2006.
13. M. Grundmann, V. Kwatra, M. Han, and I. Essa. Efficient hierarchical graph-based video segmentation. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.
14. S. Jain and K. Grauman. Supervoxel-consistent foreground propagation in video. In European Conference on Computer Vision (ECCV), 2014.
15. F. Li, T. Kim, A. Humayun, D. Tsai, and J. M. Rehg. Video segmentation by tracking many figure-ground segments. In IEEE International Conference on Computer Vision (ICCV), 2013.
16. Y. Li, J. Sun, and H.-Y. Shum. Video object cut and paste. ACM Trans. Graph., 24(3):595-600, 2005.
17. C. Nieuwenhuis, E. Strekalovskiy, and D. Cremers. Proportion priors for image sequence segmentation. In IEEE International Conference on Computer Vision (ICCV), 2013.
18. P. Ochs, J. Malik, and T. Brox. Segmentation of moving objects by long term video analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(6):1187-1200, Jun 2014. Preprint.
19. A. Papazoglou and V. Ferrari. Fast object segmentation in unconstrained video. In IEEE International Conference on Computer Vision (ICCV), 2013.
20. A. Prest, C. Leistner, J. Civera, C. Schmid, and V. Ferrari. Learning object class detectors from weakly annotated video. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.
21. B. L. Price, B. S. Morse, and S. Cohen. Livecut: Learningbased interactive video segmentation by evaluation of multiple propagated cues. In IEEE International Conference on Computer Vision (ICCV), 2009.
22. X. Ren and J. Malik. Tracking as repeated figure/ground segmentation. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007.
23. A. Saffari, C. Leistner, J. Santner, M. Godec, and H. Bischof. On-line random forests. In ICCV'09 Workshop on On-line Learning for Computer Vision, 2009.
24. S. Stalder, H. Grabner, and L. V. Gool. Beyond semisupervised tracking: Tracking should be as simple as detection, but not simpler than recognition. In ICCV'09Workshop on On-line Learning for Computer Vision, 2009.
25. N. Sundaram, T. Brox, and K. Keutzer. Dense point trajectories by GPU-accelerated large displacement optical flow. In European Conference on Computer Vision (ECCV), 2010.
26. D. Tsai, M. Flagg, and J. Rehg. Motion coherent tracking with multi-label mrf optimization. In British Machine Vision Conference (BMVC), 2010.
27. A. Vazquez-Reina, S. Avidan, H. Pfister, and E. Miller. Multiple hypothesis video segmentation from superpixel flows. In European Conference on Computer Vision (ECCV), 2010.
28. S. Vijayanarasimhan and K. Grauman. Active frame selection for label propagation in videos. In European Conference on Computer Vision (ECCV), 2012.
29. J. Yuen, B. C. Russell, C. Liu, and A. Torralba. Labelme video: Building a video database with human annotations. In IEEE International Conference on Computer Vision (ICCV), 2009.