Identification of image variations based on equivalence classes

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5960, Issue 1, 2005, Pages 584-595

  Maret, Y ^a   Garcia, G N ^a   Ebrahimi, T ^a  

^a EPFL   (Switzerland)

Author keywords

Identification; Image replica; Machine Learning; SVDD; SVM

Indexed keywords

DECISION THEORY; EQUIVALENCE CLASSES; FUNCTIONS; IMAGE COMPRESSION; LEARNING ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL OPERATORS;

IDENTIFICATION; IMAGE REPLICA; SUPPORT VECTORS DATA DESCRIPTION (SVDD); SUPPORT VECTORS MACHINE (SVM);

IMAGE PROCESSING;

EID: 32544457054     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.631578     Document Type: Conference Paper

References (17)

1. F. Hartung and M. Kutter, "Multimedia watermarking techniques," Proceedings of the IEEE 87, pp. 1079 - 1107, July 1999.
2. F. Lefebvre, B. Macq, and J.-D. Legat, "Rash: Radon soft hash algorithm," in EURASIP European Signal Processing Conference, (France), September 2002.
3. J. Seo, J. Haitsma, T. Kalker, and C. Yoo, "Affine transform resilient image fingerprinting," in IEEE International Conference on Acoustics, Speech, and Signal Processing, (Hong Kong), April 2003.
4. R. Venkatesan, S.-M. Koon, M.-H. Jakubowski, and P. Moulin, "Robust image hashing," in IEEE International Conference on Image Processing, (Vancouver), September 2000.
5. Q. Iqbal and J. Aggarwal, "Combining structure, color and texture for image retrieval: A performance evaluation," in IEEE Conference on Pattern Recognition, 2, pp. 438-443, August 2002.
6. Y. Maret, G. Garcia Molina, and T. Ebrahimi, "Images Identification Based on Equivalence Classes," in Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2005), April 2005.
7. R. Duda, P. Hart, and D. Stork, Pattern Classification, Wiley, 2000.
8. F. A. P. Petitcolas and M. Kutter, "Fair Evaluation Methods for Image Watermarking Systems," Journal of Electronic Imaging 9, pp. 445-455. October 2001.
9. Y. Rui, T. Huang, and S. Chang, "Image retrieval: current techniques, promising directions and open issues," Journal of Visual Communication and Image Representation 10, pp. 39-62, April 1999.
10. B. Schölkopf, A. Smola, R. Williamson, and P. Bartlett, "New support vector algorithms," Neural Networks 22, pp. 1083-1121, 2000.
11. C. J. C. Burges, "A tutorial on support vector machines for pattern recognition," Data Mining and Knowledge Discovery 2(2), pp. 121-167, 1998.
12. D. M. Tax and R. P. Duin, "Support Vector Data Description," Machine Learning 55, pp. 45-66, 2004.
13. M. Swain and D. Ballard, "Indexing via color histograms," in Computer Vision, pp. 390-393, December 1990.
14. B. Manjunath and W. Ma, "Texture Features for Browsing and Retrieval of Image Data," IEEE Transactions on Pattern Analysis and Machine Intelligence 18, pp. 837-842, August 1996.
15. C. M. Bishop, Neural Networks for Pattern Recognition. Oxford University Press, 1995.
16. C.-C. Chang and C.-J. Lin, LIBSVM: a library for support vector machines, 2001. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm.
17. D. Tax, "DDtools, the Data Description Toolbox for Matlab," March 2005. version 1.1.2.