Content based color image classification using SVM

Proceedings - 2011 8th International Conference on Information Technology: New Generations, ITNG 2011

Volumn , Issue , 2011, Pages 1090-1094

  Agrawal, Saurabh ^a   Verma, Nishchal K ^a   Tamrakar, Prateek ^a   Sircar, Pradip ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

Author keywords

color image histogram; image classification; Support Vector Machine

Indexed keywords

COLOR; GRAPHIC METHODS; POTASSIUM ALLOYS; SUPPORT VECTOR MACHINES;

CLASSIFICATION ACCURACY; CLASSIFICATION APPROACH; COLOR COMPONENT; COLOR IMAGES; CONTENT BASED IMAGE CLASSIFICATION; EXPERIMENTAL TRIALS; HIGH DIMENSIONALITY; HISTOGRAM FEATURES;

IMAGE CLASSIFICATION;

EID: 80051506482     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITNG.2011.202     Document Type: Conference Paper

References (10)

1. Christopher J. C. Burges, "A Tutorial on Support Vector Machines for Pattern Recognition", Data Mining and Knowledge Discovery 2, pp.121-167, 1998.
2. M. Swain and D. Ballard, "Indexing via color histograms," International Journal of Computer Vision, Vol. 7, pp. 11-32, 1991.
3. J. Weston and C. Watkins, "Multi-class support vector machines," Technical Report CSD-TR-98-04, Royal Holloway, University of London, 1998.
4. V. Vapnik, Statistical Learning Theory, John Wiley, New York, 1998.
5. P. Bartlett and J. Shawe-Taylor, "Generalization performance of support vector machines and other pattern classifiers" in Advances in Kernel Methods- Support Vector Learning, 1998, MIT Press- Cambridge, USA.
6. M. Bazaraa and C. M. Shetty, Nonlinear programming, John Wiley, New York, 1979.
7. M. Pontil and A. Verri, "Support vector machines for 3-d object recognition," in Pattern Analysis and Machine Intelligence, June 1998, vol. 20.
8. V. Blanz, B. Schölkopf, H. Bülthoff, C. Burges, V. Vapnik, and T. Vetter, "Comparison of view-based object recognition algorithms using realistic 3d models," in Artificial Neural Networks- ICANN'96, Berlin, 1996, pp. 251-256.
9. J. C. Platt, N. Cristianini, and J. Shawe-Taylor, "Largemargin DAG's for multiclass classification", Advances in Neural Information Processing Systems, Cambridge, MA: MIT Press, vol.12, pp. 547-553, 2000.
10. Mosteller and Frederick, "A k-sample slippage test for an extreme population", Annals of Mathematical Statistics Vol.-19, No.-1, pp.58-65, 1948.