Random sampling SVM based soft query expansion for image retrieval

Proceedings of the 4th International Conference on Image and Graphics, ICIG 2007

Volumn , Issue , 2007, Pages 805-809

  Zhang, Zhen ^a   Ji, Rongrong ^a   Yao, Hongxun ^a   Xu, Pengfei ^a   Wang, Jicheng ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARSENIC COMPOUNDS; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; COLOR IMAGE PROCESSING; CONTROL THEORY; FEEDBACK; GRAPHIC METHODS; IMAGE RETRIEVAL; LEARNING SYSTEMS; MILITARY DATA PROCESSING; RANDOM PROCESSES; SAMPLING;

BINARY SVM; COREL IMAGE DATABASE; ERROR-TOLERANT (ET); INTERNATIONAL CONFERENCES; MULTI-LAYER SUPPORT VECTOR MACHINES (SVM) CLASSIFIERS; POOR PERFORMANCE; QUERY EXPANSION (QEX); RANDOM SAMPLING; RANDOM SAMPLING METHOD; RELEVANCE FEEDBACK (RRF); RETRIEVAL (MIR); TRAINING DATA; VECTOR MACHINES; VOTING RESULTS;

SUPPORT VECTOR MACHINES;

EID: 47349129118     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIG.2007.180     Document Type: Conference Paper

References (18)

1. P. Hong, Q. Tian, and T. S. Huang, "Incorporate support vector machines to content-based image retrieval with relevant feedback," in Pro. of IEEE Int. Conf. Image Processing, Vancouver, BC, Canada, Sep. 2000,vol. 1, pp. 750-753.
2. Y. Rui, T. S. Huang, and S. Mehrotra, "Content-based image retrieval with relevance feedback in MARS," in Proc. IEEE Int. Conf. Image Processing, Washington, DC, Oct. 1997, vol. 2, pp. 815-818.
3. Y. Chen, X. Zhou, and T. S. Huang, "One-class SVM for learning in image retrieval," in Proc. IEEE Int. Conf. Image Processing, Thessaloniki, Greece, Oct. 2001, vol. 1, pp. 34-37.
4. X. Zhou and T. S. Huang, "Small sample learning during multimedia retrieval using biasmap," in Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition, Kauai, HI, Dec. 2001, vol. 1, pp. 11-17.
5. Z. Su, H.J. Zhang, S. Li, and S.P. Ma, "Relevance feedback in content-based image retrieval: Bayesian framework, feature subspaces, and progressive learning," IEEE Trans. Image Processing, vol. 12, pp. 924-937, Aug. 2003.
6. T. K. Ho, "The Random Subspace Method for Constructing Decision Forests," IEEE Transactions on Pattern Analysis and Machine Intelligence. vol. 20, no. 8, pp.832-844, Aug. 1998.
7. J.C. Burges, "A Tutorial on Support Vector Machines for Pattern Recognition," Data Mining and Knowledge Discovery, Vol.2, No.2, Pp.121-167, 1998.
8. S. Tong, and E. Chang, "Support Vector Machine Active Learning for Image Retrieval," Proceeding of ACM International Conference on Multimedia, Pp.107-118, 2001.
9. Dacheng Tao, Xiaoou Tang, Xuelong Li, and Xindong Wu, "Asymmetric Bagging and Random Subspace for Support Vector Machine-Based Relevance Feedback in Image Retrieval," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.28, No.7, Pp.1088-1099, July 2006.
10. T. K. Ho, "The random subspace method for constructing decision forests," IEEE Trans. Pattern Anal. Mach. Intell., vol. 20, no. 8, pp.832-844, Aug. 1998.
11. J. Kittler, M. Hatef, P.W. Duin, and J. Matas, "On Combining Classifiers," IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 20, no. 3,pp. 226-239, Mar. 1998. pp. 226-239, Mar. 1998.
12. J. Wang, J. Li, and G. Wiederhold, "SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture Libraries," IEEE Trans. On Pattern Analysis and Machine Intelligence, vol. 23, no. 9, pp. 947-963,Sept. 2001.
13. M.J. Swain and D.H. Ballard, "Color indexing," International journal on computer vision, 7(1):11-32, 1991.
14. G. Pass, R. Zabih, and J. Miller, "Comparing Images Using Color Coherence Vectors," Proc. ACM Int'l Conf. Multimedia, pp. 65-73, 1996.
15. B. Manjunath and W. Ma, "Texture Features for Browsing and Retrieval of Image Data," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 18, no. 8, pp. 837-842, Aug. 1996.
16. X. Zhou and T.S. Huang, "Relevance Feedback for Image Retrieval: A Comprehensive Review," ACM Multimedia Systems J., vol. 8, no. 6, pp. 536-544, 2003.
17. Rongrong Ji, Xiaobo Lang, Hongxun Yao, Zhen Zhang, "Semantic Sensitive Region Retrieval Using Keyword-Integrated Bayesian Reasoning," To be appeared at International Journal of Innovative Computing, Information and Control, Vol.4 No.2, April 2008.
18. R.M. Haralick, K. Shanmugam, and I. Dinstein, "Texture features for image classification," IEEE Transaction on Systems Man and Cybernetics, Vol. 3, pp. 610-621, Nov. 1973.