Computational complexity reduction of the support vector machine classifiers for image analysis tasks through the use of the discrete cosine transform

2006 IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR

Volumn 2, Issue , 2006, Pages 350-355

  Gordan, M ^a   Georgakis, A ^b   Tsatos, O ^c   Oltean, G ^a   Miclea, L ^a  

^a TECHNICAL UNIVERSITY OF CLUJ NAPOCA   (Romania)

^b UMEÅ UNIVERSITY   (Sweden)

^c ALBIODATA SA Information Systems Consulting   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

COMPACTION; DISCRETE COSINE TRANSFORMS; FACE RECOGNITION; IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGE CODING; MATRIX ALGEBRA; OBJECT RECOGNITION; VECTOR SPACES; VECTORS;

COMPUTATIONAL COMPLEXITY REDUCTIONS; DISCRETE COSINE TRANSFORM(DCT); ELEMENTARY OPERATIONS; FAST IMPLEMENTATION; REPRESENTATION SPACE; SUPPORT VECTOR MACHINE (SVMS); SUPPORT VECTOR MACHINE CLASSIFIERS; TRANSFORM MATRICES;

SUPPORT VECTOR MACHINES;

EID: 84962024044     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AQTR.2006.254658     Document Type: Conference Paper

References (17)

1. V. N. Vapnik, Statistical Learning Theory, J. Wiley, N.Y., 1998
2. A. Tefas, C. Kotropoulos, I. Pitas, "Using support vector machines to enhance the performance of elastic graph matching for frontal face authentication", IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 23(7), pp. 735-746, 2001
3. A. Ganapathiraju, J. Hamaker, J. Picone, "Hybrid SVM/HMM architectures for speech recognition", Proc. Speech Transcription Workshop, College Park, Maryland, USA, 2000
4. Farid Melgani, Lorenzo Bruzzone, "Classification of hyperspectral remote-sensing images with support vector machines", IEEE transactions on geoscience and remote sensing, 2004, Vol: 42, Issue: 8, p:1778-1790
5. V. P. Kumar, T. Poggio, "Learning-based approach to real time tracking and analysis of faces", Proc. of AFGR, 2000, France, 2000, pp. 96-101A.
6. I. Buciu, C. Kotropoulos, I. Pitas, "Combining support vector machines for accurate face detection", Proc. 2001 IEEE Int. Conf. Image Processing, Thessaloniki, Greece, pp. 1054-1057, 2001
7. Chodorowski, T. Gustavsson, U. Mattsson, "Support vector machines for oral lesion classification", Proc. IEEE Int. Symposium on Biomedical Imaging, 2002, 7-10 July 2002, pp. 173-176
8. M. Gordan, C. Kotropoulos, I. Pitas, "A Support Vector Machine-Based Dynamic Network for Visual Speech Recognition Applications", EURASIP JASP, Special Issue on Joint Audio-Visual Speech Processing, Vol. 2002, No. 11 (November 2002), ISSN 1110-8657, pp. 1248-1259
9. I. Pitas, Digital Image Processing: Algorithms and Applications, John Wiley & Sons, February 2000
10. Ding Ai-ling, Liu Fang, Zhao Xiang-mo, "The massive data classifiers based on reduced set vectors method", IEEE 2002 Int. Conf. on Comm., Circuits and Syst., vol. 2, pp. 1239-1242
11. J.X. Dong, A. Krzyzak and C.Y. Suen, "Algorithms of Fast SVM Evaluations based on Subspace Projection", Proceedings of IEEE International Joint Conference on Neural Network (IJCNN'05), Montreal, Quebec, July 31-August 4, 2005, Vol. 2, pp. 865-870
12. Jiun-Hung Chen and Chu-Song Chen. "Reducing SVM classification time using multiple mirror classifiers", IEEE Trans Syst Man Cybern B Cybern, 34(2):1173-83, Apr 2004.
13. N. Ancona, G. Cicirelli, E. Stella and A. Distante, "Object detection in images: complexity reduction and parameter selection", Proc. ICPR02, vol. 2, pp. 426-429
14. K. M. Rajpoot, N. M. Rajpoot, "Wavelets and Support Vector Machines for Texture Classification", in Proc. of 8th IEEE-INMIC'2004
15. C. M. Travieso, J. B Alonso, M. A. Ferrer, "Facial identification using transformed domain by SVM", in 38th IEEE International Carnahan Conference on security Technology, Albuquerque, New Mexico, pp. 321-324, October 11-14, 2004
16. H. Luo, A. Eleftheriadis, "On face detection in the compressed domain", ACM Multimedia 2000: 285-294
17. S.R. Gunn, MATLAB Support Vector Machine Toolbox (Internet), March 1998