Linear distance coding for image classification

IEEE Transactions on Image Processing

Volumn 22, Issue 2, 2013, Pages 537-548

  Wang, Zilei ^a,b   Feng, Jiashi ^b   Yan, Shuicheng ^b   Xi, Hongsheng ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Image classification; image to class distance; linear distance coding (LDC)

Indexed keywords

CALTECH; CLASSIFICATION ACCURACY; CODING METHODS; CODING PROCESS; DATA SETS; DISTANCE VECTOR; IMAGE REPRESENTATIONS; IMAGE-TO-CLASS DISTANCE; INFORMATION LOSS; INFORMATION LOST; LINEAR DISTANCE CODING (LDC); LOCAL FEATURE; SALIENT FEATURES; SPARSE CODES; SPATIAL LAYOUT; STATE-OF-THE-ART PERFORMANCE;

IMAGE CLASSIFICATION;

IMAGE CODING;

EID: 84872249563     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2012.2218826     Document Type: Article

References (33)

1. J. Yang, K. Yu, Y. Gong, and T. Huang, "Linear spatial pyramid matching using sparse coding for image classification," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2009, pp. 1794-1801.
2. J. Wang, J. Yang, K. Yu, F. Lv, T. Huang, and Y. Gong, "Locality-constrained linear coding for image classification," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2010, pp. 3360-3367.
3. D. G. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vis., vol. 60, no. 2, pp. 91-110, 2004.
4. N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., vol. 1. Jun. 2005, pp. 886-893. (Pubitemid 43897286)
5. L. Fei-Fei and P. Perona, "A Bayesian hierarchical model for learning natural scene categories," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., vol. 2. Jun. 2005, pp. 524-531.
6. J. van Gemert, C. Veenman, A. Smeulders, and J. Geusebroek, "Visual word ambiguity," IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 7, pp. 1271-1283, Jul. 2010.
7. 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., vol. 2. Jun. 2006, pp. 2169-2178. (Pubitemid 44931582)
8. O. Boiman, E. Shechtman, and M. Irani, "In defense of nearest-neighbor based image classification," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit, Jun. 2008, pp. 1-8.
9. J. van Gemert, J. Geusebroek, C. Veenman, and A. Smeulders, "Kernel codebooks for scene categorization," in Proc. Eur. Conf. Comput. Vis., Oct. 2008, pp. 696-709.
10. L. Liu, L. Wang, and X. Liu, "In defense of soft-assignment coding," in Proc. Int. Conf. Comput. Vis., Nov. 2011, pp. 2486-2493.
11. X. Zhou, K. Yu, T. Zhang, and T. Huang, "Image classification using super-vector coding of local image descriptors," in Proc. Eur. Conf. Comput. Vis., vol. 5. Sep. 2010, pp. 141-154.
12. R. Behmo, P. Marcombes, A. S. Dalalyan, and V. Prinet, "Toward optimal naive Bayes nearest neighbor," in Proc. Eur. Conf. Comput. Vis., vol. 4. Sep. 2010, pp. 171-184.
13. Z. Wang, Y. Hu, and L.-T. Chia, "Image-to-class distance metric learning for image classification," in Proc. Eur. Conf. Comput. Vis., vol. 1. Sep. 2010, pp. 706-719.
14. T. Tuytelaars, M. Fritz, K. Saenko, and T. Darrell, "The NBNN kernel," in Proc. Int. Conf. Comput. Vis., vol. 1. Nov. 2011, pp. 1824-1831.
15. J. Feng, B. Ni, Q. Tian, and S. Yan, "Geometric/"p-norm feature pooling for image classification," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit, Jun. 2011, pp. 2609-2704.
16. S. Gao, I. Tsang, L. Chia, and P. Zhao, "Local features are not lonely-Laplacian sparse coding for image classification," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit, San Francisco, CA, Jun. 2010, pp. 3555-3561.
17. M. Muja and D. G. Lowe, "Fast approximate nearest neighbors with automatic algorithm configuration," in Proc. Int. Joint Conf. Comput. Vis. Theory Appl., vol. 1. Lisboa, Portugal, Feb. 2009, pp. 331-340.
18. H. Jégou, M. Douze, and C. Schmid, "Product quantization for nearest neighbor search," IEEE Trans. Pattern Anal. Mach. Intell, vol. 33, no. 1, pp. 117-128, Jan. 2011.
19. K. Yu and T. Zhang, "Improved local coordinate coding using local tangents," in Proc. Int. Conf. Mach. Learn., Jun. 2010, pp. 1215-1222.
20. M.-E. Nilsback and A. Zisserman, "Automated flower classification over a large number of classes," in Proc. Indian Conf. Comput. Vis., Graph. Image Process., Dec. 2008, pp. 722-729.
21. M. Chen, K. Dhingra, W. Wu, L. Yang, R. Sukthankar, and J. Yang, "PFID: Pittsburgh fast-food image dataset," in Proc. Int. Conf. Image Process., Nov. 2009, pp. 289-292.
22. A. Quattoni and A. Torralba, "Recognizing indoor scenes," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit, Jun. 2009, pp. 413-420.
23. F.-F. Li, R. Fergus, and P. Perona, "Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories," Comput. Vis. Image Understand., vol. 106, no. 1, pp. 59-70, 2007. (Pubitemid 46528761)
24. G. Griffin, A. Holub, and P. Perona, "Caltech-256 object category dataset," Dept. Comput. Sci., California Inst. Technology, Tech. Rep. 7694, Apr. 2007.
25. A. Vedaldi and B. Fulkerson. (2008). VLfeat: An Open and Portable Library of Computer Vision Algorithms [Online]. Available: http://www.vlfeat.org/
26. R. Fan, K. Chang, C. Hsieh, X. Wang, and C. Lin, "Liblinear: A library for large linear classification," J. Mach. Learn. Res., vol. 9, pp. 1871-1874, May 2008.
27. X. Yuan and S. Yan, "Visual classification with multi-task joint sparse representation," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit, Jun. 2010, pp. 3493-3500.
28. S. Yang, M. Chen, D. Pomerleau, and R. Sukthankar, "Food recognition using statistics of pairwise local features," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit, Jun. 2010, pp. 2249-2256.
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. (Pubitemid 32680801)
30. L.-J. Li, H. Su, E. P. Xing, and F.-F. Li, "Object bank: A high-level image representation for scene classification & semantic feature sparsification," in Proc. Adv. Neural Inf. Process. Syst, Dec. 2010, pp. 1378-1386.
31. Y Boureau, F. Bach, Y LeCun, and J. Ponce, "Learning mid-level features for recognition," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit, Jun. 2010, pp. 2559-2566.
32. H. Zhang, A. C. Berg, M. Maire, and J. Malik, "SVM-KNN: Discriminative nearest neighbor classification for visual category recognition," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., vol. 2. Jun. 2006, pp. 2126-2136. (Pubitemid 44931577)
33. O. Duchenne, A. Joulin, and J. Ponce, "A graph-matching kernel for object categorization," in Proc. Int. Conf. Comput. Vis., vol. 5. Barcelona, Spain, Nov. 2011, pp. 1792-1799.