Scene Parsing from an MAP Perspective

IEEE Transactions on Cybernetics

Volumn 45, Issue 9, 2015, Pages 1876-1886

  Li, Xuelong ^a   Mou, Lichao ^a   Lu, Xiaoqiang ^a  

^a XI AN INSTITUTE OF OPTICS AND PRECISION MECHANICS   (China)

Author keywords

Dynamic dictionary driven by scene; low rank representation classifier (LRRC); Markov random field (MRF); maximum a posterior (MAP) inference; prior contextual constraint; scene parsing

Indexed keywords

CLASSIFIERS; COMPUTER VISION; FORMAL LANGUAGES; IMAGE SEGMENTATION; MARKOV PROCESSES; PIXELS;

CONTEXTUAL CONSTRAINTS; DYNAMIC DICTIONARIES; LOW-RANK REPRESENTATIONS; MARKOV RANDOM FIELDS; MAXIMUM A POSTERIORS; SCENE PARSING;

PROBABILITY DENSITY FUNCTION;

EID: 85027941907     PISSN: 21682267     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCYB.2014.2361489     Document Type: Article

References (41)

1. J. Luo, M. R. Boutell, R. T. Gray, and C. M. Brown, "Image transform bootstrapping and its applications to semantic scene classification, " IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 35, no. 3, pp. 563-570, Jun. 2005.
2. K. Huang, D. Tao, Y. Y. Tang, X. Li, and T. Tan, "Biologically inspired features for scene classification in video surveillance, " IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 41, no. 1, pp. 307-313, Feb. 2011.
3. A. Oliva and A. Torralba, "Modeling the shape of the scene: A holistic representation of the spatial envelope, " Int. J. Comput. Vis., vol. 42, no. 3, pp. 145-175, 2001.
4. F.-F. Li and P. Perona, "A Bayesian hierarchical model for learning natural scene categories, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2005, pp. 524-531.
5. S. Lazebnik, C. Schmid, and J. Ponce, "Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2006, pp. 2169-2178.
6. L. Zhang, R. Ji, Y. Gao, and X. Li, "Learning a probabilistic topology discovering model for scene categorization, " IEEE Trans. Neural Netw. Learn. Syst., Doi: 10.1109/TNNLS.2014.2347398
7. L. Zhou, D. Hu, and Z. Zhou, "Scene recognition combining structural and textural features, " Sci. China Inf. Sci., vol. 56, no. 7, pp. 1-14, 2013.
8. J. Yi, Y. Peng, and J. Xiao, "A temporal context model for boosting video annotation, " Sci. China Inf. Sci., vol. 56, no. 11, pp. 1-14, 2013.
9. S. Nikolopoulos, G. T. Papadopoulos, I. Kompatsiaris, and I. Patras, "Evidence-driven image interpretation by combining implicit and explicit knowledge in a Bayesian network, " IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 41, no. 5, pp. 1366-1381, Oct. 2011.
10. J. Tighe and S. Lazebnik, "Finding things: Image parsing with regions and per-exemplar detectors, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Portland, OR, USA, 2013, pp. 3001-3008.
11. C. Liu, J. Yuen, and A. Torralba, "Nonparametric scene parsing: Label transfer via dense scene alignment, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Miami, FL, USA, 2009, pp. 1972-1979.
12. J. Tighe and S. Lazebnik, "SuperParsing: Scalable nonparametric image parsing with superpixels, " in Proc. Eur. Conf. Comput. Vis., Heraklion, Greece, 2010, pp. 352-365.
13. C. Liu, J. Yuen, and A. Torralba, "Nonparametric scene parsing via label transfer, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 12, pp. 2368-2382, Dec. 2011.
14. J. Tighe and S. Lazebnik, "Superparsing-Scalable nonparametric image parsing with superpixels, " Int. J. Comput. Vis., vol. 101, no. 2, pp. 329-349, 2013.
15. X. Ren and J. Malik, "Learning a classification model for segmentation, " in Proc. IEEE Conf. Comput. Vis., Nice, France, 2003, pp. 10-17.
16. R. Socher, C. C.-Y. Lin, A. Y. Ng, and C. D. Manning, "Parsing natural scenes and natural language with recursive neural networks, " in Proc. Int. Conf. Mach. Learn., 2011, pp. 129-136.
17. Q.-X. Huang, M. Han, B. Wu, and S. Ioffe, "A hierarchical conditional random field model for labeling and segmenting images of street scenes, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Providence, RI, USA, 2011, pp. 1953-1960.
18. J. Yao, S. Fidler, and R. Urtasun, "Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Providence, RI, USA, 2012, pp. 702-709.
19. Y. Yuan, Y. Pang, J. Pan, and X. Li, "Scene segmentation based on IPCA for visual surveillance, " Neurocomputing, vol. 72, nos. 10-12, pp. 2450-2454, 2009.
20. G. Liu and S. Yan, "Latent low-rank representation for subspace segmentation and feature extraction, " in Proc. IEEE Int. Conf. Comput. Vis., Barcelona, Spain, 2011, pp. 1615-1622.
21. X. Wang and X. Tang, "A unified framework for subspace face recognition, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 9, pp. 1222-1228, Sep. 2004.
22. J. Wright, A. Y. Yang, A. Ganesh, S. S. Sastry, and Y. Ma, "Robust face recognition via sparse representation, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 2, pp. 210-227, Feb. 2009.
23. C. W. Gear, "Multibody grouping from motion images, " Int. J. Comput. Vis., vol. 29, no. 2, pp. 133-150, 1998.
24. J. Yan and M. Pollefeys, "A general framework for motion segmentation: Independent, articulated, rigid, non-rigid, degenerate and non-degenerate, " in Proc. Eur. Conf. Comput. Vis., Graz, Austria, 2006, pp. 94-106.
25. Y. Ma, H. Derksen, W. Hong, and J. Wright, "Segmentation of multi-variate mixed data via lossy data coding and compression, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 9, pp. 1546-1562, Sep. 2007.
26. G. Liu et al., "Robust recovery of subspace structures by low-rank representation, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 35, no. 1, pp. 171-184, Jan. 2013.
27. X. Lu, Y. Wang, and Y. Yuan, "Graph-regularized low-rank representation for destriping of hyperspectral images, " IEEE Trans. Geosci. Remote Sens., vol. 51, no. 7, pp. 4009-4018, Jul. 2013.
28. G. Liu, Z. Lin, and Y. Yu, "Robust subspace segmentation by low-rank representation, " in Proc. Int. Conf. Mach. Learn., 2010, pp. 663-670.
29. A. Oliva and A. Torralba, "Modeling the shape of the scene: A holistic representation of the spatial envelope, " Int. J. Comput. Vis., vol. 42, no. 3, pp. 145-175, 2001.
30. X. Lu, Y. Yuan, and P. Yan, "Image super-resolution via double spar-sity regularized manifold learning, " IEEE Trans. Circuits Syst. Video Technol., vol. 23, no. 12, pp. 2022-2033, Dec. 2013.
31. D. Tao, L. Jin, Z. Yang, and X. Li, "Rank preserving sparse learning for Kinect based scene classification, " IEEE Trans. Cybern., vol. 43, no. 5, pp. 1406-1417, Oct. 2013.
32. J. Yang, D. Chu, L. Zhang, Y. Xu, and J. Yang, "Sparse representation classifier steered discriminative projection with applications to face recognition, " IEEE Trans. Neural Netw. Learn. Syst., vol. 24, no. 7, pp. 1023-1035, Jul. 2013.
33. X. Lu, Y. Yuan, and P. Yan, "Alternatively constrained dictionary learning for image superresolution, " IEEE Trans. Cybern., vol. 44, no. 3, pp. 366-377, Mar. 2014.
34. X. Lu, X. Li, and L. Mou, "Semi-supervised multi-task learning for scene recognition, " IEEE Trans. Cybern., Doi: 10.1109/TCYB.2014.2362959
35. H. Lee, A. Battle, R. Raina, and A. Y. Ng, "Efficient sparse coding algorithms, " in Proc. Adv. Neural Inf. Process. Syst., 2006, pp. 801-808.
36. Y. Yang, Z. Ma, A. G. Hauptmann, and N. Sebe, "Feature selection for multimedia analysis by sharing information among multiple tasks, " IEEE Trans. Multimedia, vol. 15, no. 3, pp. 661-669, Apr. 2013.
37. S. Geman and D. Geman, "Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 6, no. 6, pp. 721-741, Nov. 1984.
38. J. Besag, "Spatial interaction and the statistical analysis of lattice systems, " J. Roy. Stat. Soc. B, vol. 36, no. 2, pp. 192-236, 1974.
39. Y. Boykov, O. Veksler, and R. Zabih, "Efficient approximate energy minimization via graph cuts, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 11, pp. 1222-1239, Nov. 2001.
40. S. Gould, R. Fulton, and D. Koller, "Decomposing a scene into geometric and semantically consistent regions, " in Proc. IEEE Int. Conf. Comput. Vis., Kyoto, Japan, 2009, pp. 1-8.
41. D. Eigen and R. Fergus, "Nonparametric image parsing using adaptive neighbor sets, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Providence, RI, USA, 2012, pp. 2799-2806.