Image representation and retrieval using support vector machine and fuzzy C-means clustering based semantical spaces

Proceedings - International Conference on Pattern Recognition

Volumn 1, Issue , 2006, Pages 929-935

  Bhattacharya, Prabir ^a   Rahman, Md Mahmudur ^b   Desai, Bipin C ^b  

^a Concordia University ^*  (Canada)

^b Gina Cody School of Engineering and Computer Science   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EDGE DETECTION; FEATURE EXTRACTION; FUZZY CLUSTERING; IMAGE CLASSIFICATION; SEMANTICS; SUPPORT VECTOR MACHINES;

EDGE FEATURES; FUZZY C-MEANS CLUSTERING; SEMANTIC INFORMATION; SEMANTICAL SPACES;

CONTENT BASED RETRIEVAL;

EID: 34047218048     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.688     Document Type: Conference Paper

References (16)

1. A. Smeulder, M. Worring, S. Santini, A. Gupta, R. Jain, "Content-Based Image Retrieval at the End of the Early Years.", IEEE Trans. on Pattern Anal, and Machine Intell., vol.22, pp. 1349-1380, 2000.
2. P. J. Eakins, "Towards Intelligent image retrieval.", Pattern Recognition, vol. 35, pp. 3-14, 2002.
3. A. K. Jain, M. N. Murty, and P. J. Flynn, "Data clusterings review.", ACM Computing Surveys, vol. 31(3), pp. 264-323, 1999.
4. T. F.Wu, C. J. Lin, R. C. Weng, "Probability Estimates for Multi-class Classification by Pairwise Coupling.", Journal of Machine Learning Research, vol. 5, pp. 975-1005, 2004.
5. J. C. Bezdek, et al., Fuzzy Models and Algorithms for Pattern Recognition and Image Processing., Kluwer Academic Publishers, Boston, 1999.
6. K. Fukunaga, Introduction to Statistical Pattern Recognition., second ed., Academic Press, 1990.
7. C. Cortes and V. Vapnik, "Support-vector network", Machine Learning, vol. 20, pp. 273-297, 1995.
8. O. Chapelle, P. Haffner, V. Vapnik, "SVMs for histogram-based image classification.", IEEE Trans. on Neural Networks, vol.10(5), pp. 1055-1064, 1999.
9. E. Chang, G. Kingshy, G. Sychay, and G. Wu. "CBSA: content-based soft annotation for multimodal image retrieval using Bayes point machines", IEEE Trans. on CSVT, 13(1), pp. 26-38, 2003.
10. M. R. Naphade, C. Lin, J. R. Smith, B. Tseng, and S. Basu, "Learning to Annotate Video Databases," Proceedings of SPIE, vol. 4676, pp. 264-275, 2002.
11. M. Grubinger, P. Clough, H. Mller, T. Deselears, "The IAPR TC-12 Benchmark - A New Evaluation Resource for Visual Information Systems", In the Proceedings of the International Workshop OntoImage '2006 Language Resources for Content-Based Image Retrieval, Genova, Italy, 2006.
12. P. Clough, H. Mller and M. Sanderson, "The CLEF 2004 Cross-Language Image Retrieval Track", 5th Workshop of the Cross-Language Evaluation Forum, CLEF 2004, Bath, UK, September 15-17, 2004, Revised Selected Papers Series: LNCS, vol. 3491, pp. 597-613.
13. R. Baeza-Yates and B. Ribiero-Neto, Modern Information Retrieval, Addison Wesley, 1999.
14. B. S. Manjunath, P. Salembier, and T. Sikora, Introduction to MPEG-7 Multimedia Content Description Interface, John Wiley & Sons Ltd., England, 2002.
15. ISO/IEC JTC1/SC29/WG11/W3703 MPEG-7 Multimedia Content Description Interface Part 3 Visual, October 2000.
16. C. C. Chang, C.J. Lin, "LIBSVM : a library for support vector machines.", 2001, Software available at http://www.csie.ntu.edu.tw/cjlin/ libsvm