Online glocal transfer for automatic figure-ground segmentation

IEEE Transactions on Image Processing

Volumn 23, Issue 5, 2014, Pages 2109-2121

  Zou, Wenbin ^a,b   Bai, Cong ^c   Kpalma, Kidiyo ^a   Ronsin, Joseph ^a  

^a UNIVERSITÉ EUROPÉENNE DE BRETAGNE   (France)

^b SHENZHEN UNIVERSITY   (China)

^c ZHEJIANG UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

figure ground segmentation; image retrieval; Object segmentation; online glocal transfer

Indexed keywords

IMAGE RETRIEVAL; MARKOV PROCESSES; OPTIMIZATION;

DISCRIMINATIVE CLASSIFIERS; FIGURE-GROUND SEGMENTATIONS; IMAGE REPRESENTATIONS; MARKOV RANDOM FIELDS; OBJECT SEGMENTATION; ONLINE GLOCAL TRANSFER; OPTIMAL SEGMENTATION; STATE-OF-THE-ART METHODS;

IMAGE SEGMENTATION;

EID: 84898680920     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2014.2312287     Document Type: Article

References (44)

1. P. F. Felzenszwalb and D. P. Huttenlocher, "Efficient graph-based imagesegmentation," Int. J. Comput. Vis., vol. 59, no. 2, pp. 167-181, 2004.
2. D. Comaniciu and P. Meer, "Mean shift: A robust approach towardfeature space analysis," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24,no. 5, pp. 603-619, May 2002. (Pubitemid 34550429)
3. J. Shi and J. Malik, "Normalized cuts and image segmentation," IEEETrans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 888-905, Aug.2000.
4. L. Vincent and P. Soille, "Watersheds in digital spaces: An efficientalgorithm based on immersion simulations," IEEE Trans. Pattern Anal.Mach. Intell., vol. 13, no. 6, pp. 583-598, Jun. 1991. (Pubitemid 21675616)
5. P. Arbelaez, M. Maire, C. Fowlkes, and J. Malik, "Contour detectionand hierarchical image segmentation," IEEE Trans. Pattern Anal. Mach.Intell., vol. 33, no. 5, pp. 898-916, May 2011.
6. C. Rother, V. Kolmogorov, and A. Blake, "Grabcut: Interactive foregroundextraction using iterated graph cuts," ACM Trans. Graph.,vol. 23, no. 3, pp. 309-314, 2004.
7. K. E. A. Van de Sande, J. R. R. Uijlings, T. Gevers, and A. Smeulders,"Segmentation as selective search for object recognition," in Proc. IEEEICCV, Nov. 2011, pp. 1879-1886.
8. J.-J. Chen, C.-R. Su, W. L. Grimson, J.-L. Liu, and D.-H. Shiue, "Objectsegmentation of database images by dual multiscale morphologicalreconstructions and retrieval applications," IEEE Trans. Image Process.,vol. 21, no. 2, pp. 828-843, Feb. 2012.
9. Q. Zhang and K. N. Ngan, "Segmentation and tracking multiple objectsunder occlusion from multiview video," IEEE Trans. Image Process.,vol. 20, no. 11, pp. 3308-3313, Nov. 2011.
10. P.-F. Chen, H. Krim, and O. L. Mendoza, "Multiphase jointsegmentation-registration and object tracking for layered images," IEEETrans. Image Process., vol. 19, no. 7, pp. 1706-1719, Jul. 2010.
11. C.-H. Lee, M. Schmidt, A. Murtha, A. Bistritz, J. Sander, and R. Greiner,"Segmenting brain tumors with conditional random fields and supportvector machines," in Proc. Comput. Vis. Biomed. Image Appl., 2005,pp. 469-478. (Pubitemid 43741552)
12. L. Bertelli, T. Yu, D. Vu, and B. Gokturk, "Kernelized structural SVMlearning for supervised object segmentation," in Proc. IEEE Int. CVPR,Jan. 2011, pp. 2153-2160.
13. B. Alexe, T. Deselaers, and V. Ferrari, "Classcut for unsupervised classsegmentation," in Proc. 11th ECCV, 2010, pp. 380-393.
14. N. Jojic, A. Perina, M. Cristani, V. Murino, and B. Frey, "Stel componentanalysis: Modeling spatial correlations in image class structure," in Proc.IEEE Int. CVPR, Jun. 2009, pp. 2044-2051.
15. J. Mairal, M. Leordeanu, F. Bach, M. Hebert, and J. Ponce, "Discriminativesparse image models for class-specific edge detection and imageinterpretation," in Proc. ECCV, 2008, pp. 43-56.
16. J. Winn and N. Jojic, "LOCUS: Learning object classes with unsupervisedsegmentation," in Proc. IEEE ICCV, Oct. 2005, pp. 756-763. (Pubitemid 44055031)
17. E. Borenstein and S. Ullman, "Class-specific, top-down segmentation,"in Proc. ECCV, 2002, pp. 639-641.
18. D. Kuettel, M. Guillaumin, and V. Ferrari, "Segmentation propagationin imagenet," in Proc. ECCV, 2012, pp. 459-473.
19. J. Carreira and C. Sminchisescu, "CPMC: Automatic object segmentationusing constrained parametric min-cuts," IEEE Trans. Pattern Anal.Mach. Intell., vol. 34, no. 7, pp. 1312-1328, Jul. 2012.
20. I. Endres and D. Hoiem, "Category independent object proposals," inProc. ECCV, 2010, pp. 575-588.
21. W. Zou, K. Kpalma, and J. Ronsin, "Semantic segmentation via sparsecoding over hierarchical regions," in Proc. IEEE 19th ICIP, Oct. 2012,pp. 2577-2580.
22. A. Rosenfeld and D. Weinshall, "Extracting foreground masks towardsobject recognition," in Proc. IEEE ICCV, Nov. 2011, pp. 1371-1378.
23. D. Kuettel and V. Ferrari, "Figure-ground segmentation by transferringwindow masks," in Proc. IEEE Int. CVPR, Jun. 2012, pp. 558-565.
24. Y. Boykov, O. Veksler, and R. Zabih, "Fast approximate energy minimizationvia graph cuts," IEEE Trans. Pattern Anal. Mach. Intell.,vol. 23, no. 11, pp. 1222-1239, Nov. 2001. (Pubitemid 33137959)
25. A. Oliva and A. Torralba, "Modeling the shape of the scene: A holisticrepresentation of the spatial envelope," Int. J. Comput. Vis., vol. 42,no. 3, pp. 145-175, 2001. (Pubitemid 32680801)
26. M. Douze, H. Jégou, H. Sandhawalia, L. Amsaleg, and C. Schmid,"Evaluation of GIST descriptors for web-scale image search," in Proc.ACM Int. Conf. Image Video Retr., 2009, pp. 1-16.
27. H. Zhang, A. C. Berg, M. Maire, and J. Malik, "SVM-KNN: Discriminativenearest neighbor classification for visual category recognition,"in Proc. IEEE Int. CVPR, vol. 2. Jun. 2006, pp. 2126-2136. (Pubitemid 44931577)
28. M. Everingham, L. Van Gool, C. K. Williams, J. Winn, andA. Zisserman, "The PASCAL visual object classes (VOC) challenge,"Int. J. Comput. Vis., vol. 88, no. 2, pp. 303-338, 2010.
29. D. Batra, A. Kowdle, D. Parikh, J. Luo, and T. Chen, "iCoseg: Interactiveco-segmentation with intelligent scribble guidance," in Proc. IEEECVPR, jUN. 2010, pp. 3169-3176.
30. A. Bosch, A. Zisserman, and X. Muoz, "Image classification usingrandom forests and ferns," in Proc. IEEE ICCV, Oct. 2007, pp. 1-8.
31. D. G. Lowe, "Object recognition from local scale-invariant features," inProc. 7th IEEE ICCV, vol. 2, Sep. 1999, pp. 1150-1157.
32. E. Shechtman and M. Irani, "Matching local self-similarities acrossimages and videos," in Proc. IEEE Int. CVPR, Jun. 2007, pp. 1-8.
33. S. Lazebnik, C. Schmid, and J. Ponce, "Beyond bags of features: Spatialpyramid matching for recognizing natural scene categories," in Proc.IEEE CVPR, vol. 2. Jun. 2006, pp. 2169-2178. (Pubitemid 44931582)
34. A. Farhadi, I. Endres, D. Hoiem, and D. Forsyth, "Describing objects bytheir attributes," in Proc. IEEE Int. CVPR, Jun. 2009, pp. 1778-1785.
35. D. Parikh and K. Grauman, "Relative attributes," in Proc. IEEE ICCV,Nov. 2011, pp. 503-510.
36. S. Johnson, "Hierarchical clustering schemes," Psychometrika, vol. 32,no. 3, pp. 241-254, 1967.
37. M. Varma and D. Ray, "Learning the discriminative power-invariancetrade-off," in Proc. ICCV, 2007, pp. 1-8.
38. J. Platt et al., "Probabilistic outputs for support vector machines andcomparisons to regularized likelihood methods," Adv. Large MarginClassifiers, vol. 10, no. 3, pp. 61-74, 1999.
39. A. Blake, C. Rother, M. Brown, P. Perez, and P. Torr, "Interactive imagesegmentation using an adaptive GMMRF model," in Proc. 8th ECCV,2004, pp. 428-441.
40. A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihoodfrom incomplete data via the em algorithm," J. R. Statist. Soc., vol. 39,no. 1, pp. 1-38, 1977.
41. B. Alexe, T. Deselaers, and V. Ferrari, "What is an object?" in Proc.IEEE Int. CVPR, Jun. 2010, pp. 73-80.
42. B. Catanzaro, B.-Y. Su, N. Sundaram, Y. Lee, M. Murphy, andK. Keutzer, "Efficient, high-quality image contour detection," in Proc.IEEE 12th ICCV, Oct. 2009, pp. 2381-2388.
43. G. Kim, E. P. Xing, L. Fei-Fei, and T. Kanade, "Distributed cosegmentationvia submodular optimization on anisotropic diffusion," in Proc.IEEE ICCV, Nov. 2011, pp. 169-176.
44. A. Joulin, F. Bach, and J. Ponce, "Multi-class cosegmentation," in Proc.IEEE CVPR, Jun. 2012, pp. 542-549.