Biased discriminant euclidean embedding for content-based image retrieval

IEEE Transactions on Image Processing

Volumn 19, Issue 2, 2010, Pages 545-554

  Bian, Wei ^a   Tao, Dacheng ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Content based image retrieval; Dimensionality reduction; Manifold learning; Relevance feedback

Indexed keywords

CBIR SYSTEM; CONTENT BASED IMAGE RETRIEVAL; DIMENSIONALITY REDUCTION; EUCLIDEAN; HIGH-DIMENSIONAL; IMAGE MANAGEMENT; MANIFOLD LEARNING; MULTIMEDIA APPLICATIONS; RELEVANCE FEEDBACK; RF PERFORMANCE; SEMANTIC GAP; SEMI-SUPERVISED; UNDERSAMPLED PROBLEMS; VISUAL FEATURE; WEB SEARCHES;

CONTENT BASED RETRIEVAL; FEEDBACK; INFORMATION RETRIEVAL; WORLD WIDE WEB;

ALGORITHMS;

EID: 76849099506     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2009.2035223     Document Type: Article

References (39)

1. M. Belkin and P. Niyogi, "Laplacian eigenmaps and spectral techniques for embedding and clustering," Adv. Neural Inf. Process. Syst., vol.14, pp. 585-591, 2002.
2. D. Cai, X. He, and J. Han, "Isometric projection," in Proc. AAAI, 2007, pp. 528-533.
3. C.-C. Chang and C.-J. Lin, LIBSVM: A Library for Support Vector Machines 2001 [Online]. Available: http://www.csie.ntu.edu.tw/cjlin/ libsvm
4. T. Chang and C.-C. J. Kuo, "Texture analysis and classification with tree-structured wavelet transform," IEEE Trans. Image Process., vol.2, no.4, pp. 429-441, Apr. 1993.
5. Y. Chen, X.-S. Zhou, and T.-S. Huang, "One-class SVM for learning in image retrieval," in Proc. IEEE Int. Conf. Image Processing, 2001, pp. 815-818.
6. Y. Fu and T.-S. Huang, "Image classification using correlation tensor analysis," IEEE Trans. Image Process., vol.17, no.2, pp. 226-234, Feb. 2008.
7. D. Tao, X. Li, Wu, and S. J. Maybank, "Geometric mean for subspace selection," IEEE Trans. Pattern Anal. Mach. Intell., vol.31, no.2, pp. 260-274, Feb. 2009.
8. W. T. Freeman and E. H. Adelson, "The design and use of steerable filters," IEEE Trans. Pattern Anal. Mach. Intell., vol.13, no.9, pp. 891-906, Sep. 1991.
9. G. Guo, A. K. Jain, W.-Y. Ma, and H.-J. Zhang, "Learning similarity measure for natural image retrieval with relevance feedback," IEEE Trans. Neural Netw., vol.13, no.7, pp. 811-820, Jul. 2002.
10. K.-S. Goh, E. Y. Chang, and W.-C. Lai, "Concept-dependent multimodal active learning for image retrieval," in Proc. ACM Int. Conf. Multimedia, 2004, pp. 564-571.
11. C. Harris and M. Stephens, "A combined corner and edge detector," in Proc. Alvey Vision Conf., 1988, pp. 147-151.
12. X. He, D. Cai, S. Yan, and H.-J. Zhang, "Neighborhood preserving embedding," in Proc. IEEE Int. Conf. Computer Vision, 2005, pp. 1208-1213.
13. X. He and P. Niyogi, "Locality preserving projections," Adv. Neural Inf. Process. Syst., vol.16, 2004.
14. C.-H. Hoi, C.-H. Chan, K. Huang, M. R. Lyu, and I. King, "Biased support vector machine for relevance feedback in image retrieval," presented at the Int. Joint Conf. Neural Networks, 2004.
15. Y. Ishikawa, R. Subramanya, and C. Faloutsos, "Mindreader: Querying databases through multiple examples," in Proc. Very Large Database Conf., 1998, pp. 433-438.
16. A. K. Jain and A. Vailaya, "Image retrieval using color and shape," Pattern Recognit., vol.29, no.8, pp. 1,233-1,244, Oct. 1996.
17. J. Li, N. Allinson, D. Tao, and X. Li, "Multitraining support vector machine for image retrieval," IEEE Trans. Image Process., vol.15, no.11, pp. 3597-3601, Nov. 2007.
18. B. S. Manjunath and W.-Y. Ma, "Texture features for browsing and retrieval of image data," IEEE Trans. Pattern Anal. Mach. Intell., vol.18, no.8, pp. 837-842, Aug. 1996.
19. J. Mao and A. K. Jain, "Texture classification and segmentation using multiresolution simultaneous autoregressive models," Pattern Recognit., vol.25, no.2, pp. 173-188, 1992.
20. 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.
21. G. Pass, R. Zabih, and J. Miller, "Comparing images using color coherence vectors," in Proc. ACM Int. Conf. Multimedia, 1996, pp. 65-73.
22. S. T. Roweis and L. K. Saul, "Nonlinear dimensionality reduction by locally linear embedding," Science, vol.290, pp. 2,323-2,326, 2000.
23. Y. Rui and T.-S. Huang, "Optimizing learning in image retrieval," presented at the IEEE Int. Conf. ComputerVision and Pattern Recognition, 2000
24. M. Sugiyama, "Dimensionality reduction of multimodal labeled data by local fisher discriminant analysis," J. Mach. Learn. Res., vol.8, pp. 1,027-1,061, May 2005.
25. M. J. Swain and D. H. Ballard, "Color indexing," Int. J. Comput. Vis., vol.7, no.1, pp. 11-32, 1991.
26. D. L. Swets and J.Weng, "Discriminant analysis and eigenspace partition tree for face and object recognition from views," in Proc. IEEE Int. Conf. Automatic Face and Gesture Recognition, 1996, pp. 192-197.
27. D. Tao, X. Tang, X. Li, and X. Wu, "Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval," IEEE Trans. Pattern Anal. Mach. Intell., vol.28, no.7, pp. 1088-1099, Jul. 2007.
28. D. Tao, X. Tang, X. Li, and Y. Rui, "Kernel direct biased discriminant analysis: A new content-based image retrieval relevance feedback algorithm," IEEE Trans. Multimedia, vol.8, pp. 716-727, 2005.
29. J. B. Tenenbaum, V. de Silva, and J. C. Langford, "A global geometric framework for nonlinear dimensionality reduction," Science, vol.290, no.5500, pp. 2319-2323, Dec. 2000.
30. K. Tieu and P. Viola, "Boosting image retrieval," Int. J. Comput. Vis., vol.56, no.1-2, pp. 17-36, 2004.
31. S. Tong and E. Chang, "Support vector machine active learning for image retrieval," in Proc. ACM Int. Conf. Multimedia, 2001, pp. 107-118.
32. J. Z. Wang, J. Li, and G. Wiederhold, "SIMPLIcity: Semantics-sensitive integrated matching for picture libraries," IEEE Trans. Pattern Anal. Mach. Intell., vol.23, no.9, pp. 947-963, Sep. 2001.
33. D. Xu, S. Yan, D. Tao, S. Lin, and H.-J. Zhang, "Marginal fisher analysis and its variants for human gait recognition and content-based image retrieval," IEEE Trans. Image Process., vol.16, no.11, pp. 2811-2821, Nov. 2007.
34. J. Ye, "Least squares linear discriminant analysis," in Proc. Int. Conf. Machine Learning, 2007, pp. 1,087-1,093. (Pubitemid 47275175)
35. X.-S. Zhou and T.-S. Huang, "Small sample learning during multimedia retrieval using biasmap," in Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition, 2001, vol.1, pp. 11-17.
36. X.-S. Zhou and T.-S. Huang, "Relevance feedback for image retrieval: A comprehensive review," ACM Multimedia Syst. J., vol.8, pp. 536-544, 2003.
37. M. L. Kherfi and D. Ziou, "Relevance feedback for CBIR: A new approach based on probabilistic feature weighting with positive and negative examples," IEEE Trans. Image Process., vol.15, no.4, pp. 1017-1030, Apr. 2006.
38. D. Tao, X. Li, and S. J. Maybank, "Negative samples analysis in relevance feedback," IEEE Trans. Knowl. Data Eng., vol.19, pp. 568-580, Apr. 2007.
39. [Online]. Available: http://sites.google.com/site/dctresearch/Home/ content-based-image-retrieval