An online system for classifying computer graphics images from natural photographs

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 6072, Issue , 2006, Pages

  Ng, Tian Tsong ^a   Chang, Shih Fu ^a  

^a Department of Earth and Environmental Sciences   (United States)

Author keywords

Classification; Classifier fusion; Computer graphics; Geometry features; Online system; Photograph

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); COMPUTATIONAL GEOMETRY; IMAGE ANALYSIS; ONLINE SYSTEMS; PHOTOGRAPHY;

CLASSIFICATION ACCURACY; CLASSIFIER FUSION; GEOMETRY FEATURES;

COMPUTER GRAPHICS;

EID: 33645677855     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.650162     Document Type: Conference Paper

References (14)

1. G. W. Meyer, H. E. Rushmeier, M. F. Cohen, D. P. Greenberg, and K. E. Torrance, "An experimental evaluation of computer graphics imagery," ACM SIGGRAPH 5(1), pp. 30-50, 1986.
2. T.-T. Ng, S.-F. Chang, J. Hsu, L. Xie, and M.-P. Tsui, "Physics-motivated features for distinguishing photographic images and computer graphics," in ACM Multimedia, (Singapore), November 2005.
3. S. Lyu and H. Farid, "How realistic is photorealistic?" IEEE Transactions on Signal Processing 53, pp. 845-850, February 2005.
4. T. Ianeva, A. de Vries, and H. Rohrig, "Detecting cartoons: A case study in automatic video-genre classification," in IEEE International Conference on Multimedia and Expo, 1, pp. 449-452, 2003.
5. B. B. Mandelbrot, The fractal geometry of nature, San Francisco: W.H. Freeman, 1983.
6. A. Pentland, "On describing complex surface shapes," Image and Vision Computing 3, pp. 153-162, November 1985.
7. T. Akenine-Moller, T. Moller, and E. Haines, Real-Time Rendering, A. K. Peters, Ltd., MA, 2002.
8. A. B. Lee, K. S. Pedersen, and D. Mumford, "The nonlinear statistics of high-contrast patches in natural images," International Journal of Computer Vision 54(1), pp. 83-103, 2003.
9. T.-T. Ng, S.-F. Chang, J. Hsu, and M. Pepeljugoski, "Columbia photographic images and photorealistic computer graphics dataset," ADVENT Technical Report 205-2004-5, Columbia University, Feb 2005.
10. C.-W. Hsu, C.-C. Chang, and C.-J. Lin, "A practical guide to support vector classification," July 2003.
11. L. K. Hansen and P. Salamon, "Neural network ensembles," IEEE Transactions on Pattern Analysis Machince Intelligent 12(10), pp. 993-1001, 1990.
12. T. G. Dietterich, "Ensemble methods in machine learning," Lecture Notes in Computer Science 1857, pp. 1-15, 2000.
13. B. L. Tseng, C.-Y. Lin, M. Naphade, A. Natsev, and J. R. Smith, "Normalized classifier fusion for semantic visual concept detection," in IEEE International Conference in Image Processing, pp. 535-538, 2003.
14. J. C. Platt, Advances in Large Margin Classifiers, ch. Probabilities for Support Vector Machines, pp. 61-74. MIT Press, 1999.