Biased subspace learning for SVM Relevance Feedback in Content-Based Image Retrieval

ICICS 2011 - 8th International Conference on Information, Communications and Signal Processing

Volumn , Issue , 2011, Pages

  Zhang, Lining ^a   Wang, Lipo ^a   Lin, Weisi ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

content based image retrieval; relevance feedback; support vector machine

Indexed keywords

CONTENT BASED IMAGE RETRIEVAL; MAXIMUM MARGIN; REAL-WORLD IMAGE; RELEVANCE FEEDBACK; SEMI-SUPERVISED; SUBSPACE LEARNING;

CONTENT BASED RETRIEVAL; FEEDBACK; SIGNAL PROCESSING;

SUPPORT VECTOR MACHINES;

EID: 84860648603     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICS.2011.6174236     Document Type: Conference Paper

References (16)

1. A. W. M. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain, Content-Based Image Retrieval at the End of the Early Years, IEEE Trans. Pattern Anal. Mach. Intell., Vol. 22, No. 1, pp. 1349-1380, Jan. 2000.
2. Y. Rui, T. Huang, M. Ortega, and S. Mehrotra, Relevance Feedback: A Power Tool in Interactive Content-Based Image Retrieval, IEEE Trans. Circuits Syst. Video Technol., Vol. 8, No. 5, pp. 644-655, Sep. 1998.
3. Y. Rui, T. S. Huang, and S. Mehrotra, Content-Based Image Retrieval with Relevance Feedback in MARS, in Proc. IEEE Int. Conf. Image Process., 1997, Vol. 2, pp. 815-818.
4. T. S. Huang and X. S. Zhou. Image Retrieval by Relevance Feedback: from Heuristic Weight Adjustment to Optimal Learning Methods. In Proc. IEEE International Conference on Image Processing (ICIP'01), Thessaloniki, Greece, Oct. 2001.
5. Y. Chen, X.-S. Zhou, and T.-S. Huang, One-class SVM for Learning in Image Retrieval, In Proceedings of IEEE Int. Conf. Image Processing (ICIP'01), pp. 815-818, 2001.
6. P. Hong, Q. Tian, and T. S. Huang. Incorporate support vector machines to content-based image retrieval with relevant feedback. In Proc. IEEE International Conference on Image Processing (ICIP'00), Vancouver, BC, Canada, 2000.
7. 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.
8. G. Guo, A. K. Jain, W. Ma, and H. Zhang, Learning Similarity Measure for Natural Image Retrieval with Relevance Feedback, IEEE Trans. Neural Networks, Vol. 12, No. 4, pp. 811-820, 2002.
9. J. Li, N. Allinson, D. Tao and X. Li, Multitraining Support Vector Machine for Image Retrieval. IEEE Trans. On Image Processing. Vol. 15 No. 11, Nov. 2006
10. X. Zhou and T. Huang, Small Sample Learning during Multimedia Retrieval Using Biasmap, In Proc. IEEE Int'l Conf. Computer Vision and Pattern Recognition, Vol. 1, pp. 11-17, 2001.
11. S. Yan, D. Xu, B. Zhang, H. Zhang, Q. Yang, and S. Lin, Graph embedding and extensions: A general framework for dimensionality reduction, IEEE Trans. Pattern Anal. Mach. Intell., Vol. 29, No. 1, pp. 40-51, Jan. 2007.
12. M. J. Swain and D. H. Ballard, Color Indexing, International. Journal of Compututer. Vision., Vol. 7, No. 1, pp. 11-32, 1991.
13. H. Tamura, S. Mori, and T. Yamawaki, Texture Features Corresponding to Visual Perception, IEEE Trans. Syst., Man, Cybern., Vol. 8, No. 6, pp. 460-473, Jun. 1978.
14. A. Jain and A. Vailaya, Image Retrieval Using Color and Shape, Pattern Recognit., Vol. 29, No. 8, pp. 1233-1244, Aug. 1996.
15. J. Chen, S. Shan, G. Zhao, X. Chen, W. Gao, Matti Pietikainen, WLD: A Robust Descriptor based on Weber's Law, IEEE Trans. Pattern Anal. Mach. Intell., Vol. 32, No. 9, pp. 1705-1720, Sep. 2010.
16. D. Tao, X. Tang and X. Li, Which Components Are Important for Interactive Image Searching? IEEE Trans. Circuits System Video Technology, Vol. 18, No. 1, Jan. 2008