Adaptive scene category discovery with generative learning and compositional sampling

IEEE Transactions on Circuits and Systems for Video Technology

Volumn 25, Issue 2, 2015, Pages 251-260

  Lin, Liang ^a,b   Zhang, Ruimao ^a   Duan, Xiaohua ^a  

^a SUN YAT SEN UNIVERSITY   (China)

^b International Joint Research Institute   (China)

Author keywords

[No Author keywords available]

Indexed keywords

STOCHASTIC SYSTEMS;

CLUSTER SAMPLING; EMPIRICAL ANALYSIS; GENERATIVE MODEL; IMAGE CATEGORIZATION; IMAGE DESCRIPTORS; PROBABILISTIC MODELING; SCENE CATEGORIES; STATE-OF-THE-ART METHODS;

INFERENCE ENGINES;

EID: 84923877350     PISSN: 10518215     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSVT.2014.2313897     Document Type: Article

References (40)

1. Y. Hu, X. Cheng, L.-T. Chia, X. Xie, D. Rajan, and A.-H. Tan, "Coherent phrase model for efficient image near-duplicate retrieval," IEEE Trans. Multimedia, vol. 11, no. 8, pp. 1434-1445, Dec. 2009.
2. S. Battiato, G. M. Farinella, G. Puglisi, and D. Ravì, "Aligning codebooks for near duplicate image detection," in Multimedia Tools Applications. New York, NY, USA: Springer-Verlag, 2013, pp. 1-24.
3. L.-J. Li, C. Wang, Y. Lim, D. M. Blei, and L. Fei-Fei, "Building and using a semantivisual image hierarchy," in Proc. IEEE CVPR, Jun. 2010, pp. 3336-3343.
4. X. Zheng, D. Cai, X. F. He, W.-Y. Ma, and X. Y. Lin, "Locality preserving clustering for image database," in Proc. 12th Annu. ACM Int. Conf. Multimedia, 2004, pp. 885-891.
5. B. Yao, X. Yang, L. Lin, M. W. Lee, and S. C. Zhu, "I2T: Image parsing to text description," Proc. IEEE, vol. 98, no. 8, pp. 1485-1508, Aug. 2010.
6. 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.
7. T. Tuytelaars, C. Lampert, M. Blaschko, and W. Buntine, "Unsupervised object discovery: A comparison," Int. J. Comput. Vis., vol. 88, no. 2, pp. 284-302, 2010.
8. J. Jeon and R. Manmatha, "Automatic image annotation of news images with large vocabularies and low quality training data," in Proc. ACM Int. Conf. Multimedia, 2004.
9. G. Sheikholeslami, W. Chang, and A. Zhang, "Semantic clustering and querying on heterogeneous features for visual data," in Proc. 6th ACM Int. Conf. Multimedia, 1998, pp. 3-12.
10. D. Dai, T. Wu, and S. C. Zhu, "Discovering scene categories by information projection and cluster sampling," in Proc. IEEE CVPR, Jun. 2010, pp. 3455-3462.
11. L. Walker, W. Renninger, and J. Malik, "When is scene identification just texture recognition?" Vis. Res., vol. 44, no. 19, pp. 2301-2311, 2004.
12. L. Fei-Fei and P. Perona, "A Bayesian hierarchical model for learning natural scene categories," in Proc. IEEE CVPR, vol. 2. Jun. 2005, pp. 524-531.
13. J. Sivic, B. Russell, A. Efros, A. Zisserman, and W. Freeman, "Discovering objects and their location in images," in Proc. 10th IEEE ICCV, Oct. 2005, pp. 370-377.
14. S. Lazebnik, C. Schmid, and J. Ponce, "Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories," in Proc. IEEE CVPR, Jun. 2006, pp. 2169-2178.
15. S. Battiato, G. M. Farinella, G. Gallo, and D. Ravì, "Scene categorization using bag of textons on spatial hierarchy," in Proc. ICIP, Oct. 2008, pp. 2536-2539.
16. G. M. Farinella and S. Battiato, "Scene classification in compressed and constrained domain," IET Comput. Vis., vol. 5, no. 5, pp. 320-334, Sep. 2011.
17. A. Bosch, A. Zisserman, and X. Munoz, "Scene classification via pLSA," in Proc. ECCV, vol. 3954. Oct. 2006, pp. 517-530.
18. D. M. Blei, A. Y. Ng, and M. I. Jordan, "Latent Dirichlet allocation," J. Mach. Learn. Res., vol. 3, no. 3, pp. 993-1022, 2003.
19. L. Lin, T. Wu, J. Porway, and Z. Xu, "A stochastic graph grammar for compositional object representation and recognition," Pattern Recognit., vol. 42, no. 7, pp. 1297-1307, 2009.
20. K. Mikolajczyk and C. Schmid, "A performance evaluation of local descriptors," IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 10, pp. 1615-1630, Oct. 2005.
21. G. Carneiro and A. D. Jepson, "Multi-scale phase-based local features," in Proc. IEEE CVPR, vol. 1. Jun. 2003, pp. 736-743.
22. P. Moreels and P. Perona, "Evaluation of features detectors and descriptors based on 3D objects," in Proc. 10th IEEE ICCV, vol. 1. Oct. 2005, pp. 800-807.
23. D. G. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vis., vol. 60, no. 2, pp. 91-110, Nov. 2004.
24. N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection," in Proc. IEEE CVPR, vol. 1. Jun. 2005, pp. 886-893.
25. T. Ojala, M. Pietikaïnen, and D. Harwood, "A comparative study of texture measures with classification based on featured distributions," Pattern Recognit., vol. 29, no. 1, pp. 51-59, 1996.
26. M. Heikkilä, M. Pietikaïnen, and C. Schmid, "Description of interest regions with local binary patterns," Pattern Recognit., vol. 42, no. 3, pp. 425-436, 2009.
27. L. Lin, P. Luo, X. Chen, and K. Zeng, "Representing and recognizing objects with massive local image patches," Pattern Recognit., vol. 45, no. 1, pp. 231-240, 2012.
28. P. Viola and M. Jones, "Fast multi-view face detection," in Proc. IEEE CVPR, Jun. 2003.
29. S. Della Pietra, V. Della Pietra, and J. Lafferty, "Inducing features of random fields," IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 4, pp. 380-393, Apr. 1997.
30. Y. Wu, Z. Si, H. Gong, and S.-C. Zhu, "Learning active basis model for object detection and recognition," Int. J. Comput. Vis., vol. 90, no. 2, pp. 198-235, 2010.
31. D. Liu and T. Chen, "Unsupervised image categorization and object localization using topic models and correspondences between images," in Proc. ICCV, 2007, pp. 1-7.
32. A. Barbu and S.-C. Zhu, "Generalizing Swendsen-Wang for image analysis," J. Comput. Graph. Statist., vol. 16, no. 4, pp. 877-900, 2007.
33. L. Lin, X. Liu, and S.-C. Zhu, "Layered graph matching with composite cluster sampling," IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 8, pp. 1426-1442, Aug. 2010.
34. X. Duan, L. Lin, and H. Chao, "Discovering video shot categories by unsupervised stochastic graph partition," IEEE Trans. Multimedia, vol. 15, no. 1, pp. 167-180, Jan. 2013.
35. X. Wang, T. X. Han, and S. Yan, "An HOG-LBP human detector with partial occlusion handling," in Proc. IEEE 12th CVPR, Sep./Oct. 2009, pp. 32-39.
36. X. Liu, L. Lin, S. Yan, H. Jin, and W. Jiang, "Adaptive object tracking by learning hybrid template on-line," IEEE Trans. Circuits Syst. Video Technol., vol. 21, no. 11, pp. 1588-1599, Nov. 2011.
37. L. Lin, Y. Lu, Y. Pan, and X. Chen, "Integrating graph partitioning and matching for trajectory analysis in video surveillance," IEEE Trans. Image Process., vol. 21, no. 12, pp. 4844-4857, Dec. 2012.
38. Z. Si and S. C. Zhu, "Learning hybrid image template (HiT) by information projection," IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 7, pp. 1354-1367, Jul. 2012.
39. B. J. Frey and D. Dueck, "Clustering by passing messages between data points," Science, vol. 315, no. 5814, pp. 972-976, 2007.
40. C. H. Li, B. C. Kuo, and C. T. Lin, "LDA-based clustering algorithm and its application to an unsupervised feature extraction," IEEE Trans. Fuzzy Syst., vol. 19, no. 1, pp. 152-163, Feb. 2011.