An analysis of the relationship between painters based on their work

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2008, Pages 113-116

  Bressan, Marco ^a   Cifarelli, Claudio ^a   Perronnin, Florent ^a  

^a XEROX RESEARCH CENTRE EUROPE   (France)

Author keywords

Aesthetics; Fisher kernel; Image representation; Paintings

Indexed keywords

AESTHETICS; COMPUTER ASSISTED; FISHER KERNEL; IMAGE REPRESENTATION; IMAGE REPRESENTATIONS; NATURAL IMAGES;

IMAGE PROCESSING; IMAGING SYSTEMS;

OBJECT RECOGNITION;

EID: 69949113653     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2008.4711704     Document Type: Conference Paper

References (23)

1. S. Kröner and A. Lattner, "Authentication of free hand drawings by pattern recognition methods," in IEEE ICPR, 1998.
2. R. Taylor, A. Micolich, and D. Jonas, "The fractal analysis of Pollock's drip paintings," Nature, vol. 399, 1999.
3. I. Widjaja, W. Leow, and F. Wu, "Identifying painters from color profiles of skin patches in painting images," in IEEE ICIP, 2003.
4. T. Melzer, P. Kammerer, and E. Zolda, "Stroke detection of brush strokes in portrait miniatures using a semi-parametric and a model based approach," in IEEE ICPR, 1998.
5. D. Keren, "Painter identification using local features and naïve bayes," in IEEE ICPR, 2002.
6. J. Li and J. Wang, "Studying digital imagery of ancient paintings by mixtures of stochastic models," IEEE Trans. on Image Processing, vol. 13, no. 3, pp. 340-353, 2004.
7. T. Lombardi, S.-H. Cha, and C. Tappert, "A graphical user interface for a fine-art painting image retrieval system," in ACM SIGMM Int. Workshop on Multimedia Information Retrieval, 2004.
8. B. Günsel, S. Sariel, and O. Icoglu, "Content-based access to art paintings," in IEEE ICIP, 2005.
9. A. Kushki, P. Androutsos, K. Plataniotis, and A. Venetsanopoulos, "Retrieval of images from artistic repositories using a decision fusion framework," IEEE Trans. on Image Processing, vol. 13, no. 3, pp. 277-292, 2004.
10. C. Colombo, A. Del Bimbo, and P. Pala, "Semantics in visual information retrieval," IEEE Trans. on Multimedia, vol. 6, no. 3, pp. 38-53, 1999.
11. "Google images," images.google.com.
12. "Yahoo images," images.yahoo.com.
13. J. Sivic and A. Zisserman, "Video Google: A text retrieval approach to object matching in videos," in ICCV, 2003, vol. 2, pp. 1470-1477.
14. J. Goldberger, S. Gordon, and H. Greenspan, "An efficient image similarity measure based on approximations of KL-divergence between two Gaussian mixtures," in ICCV, 2003, vol. 1, pp. 487-493.
15. N. Vasconcelos, "On the efficient evaluation of probabilistic similarity functions for image retrieval," IEEE Trans. on Information Theory, vol. 50, no. 7, pp. 1482-1496, 2004.
16. G. Csurka, C. Dance, L. Fan, J. Willamowski, and C. Bray, "Visual categorization with bags of keypoints," in ECCV Workshop on Statistical Learning for Computer Vision, 2004.
17. N. Vasconcelos, P.P. Ho, and P.J. Moreno, "The Kullback-Leibler kernel as a framework for discriminant and localized representations for visual recognition," in ECCV, 2004.
18. F. Perronnin and C. Dance, "Fisher kernels on visual vocabularies for image categorization," in CVPR, 2007.
19. J. Li and J.Z. Wang, "Real-time computerized annotation of pictures," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 30, no. 6, pp. 985-1002, 2008.
20. T. Jaakkola and D. Haussler, "Exploiting generative models in discriminative classifiers," in Advances in Neural Information Processing Systems 11, 1999, pp. 487-493.
21. D.G. Lowe, "Distinctive image features from scale-invariant keypoints," IJCV, vol. 60, no. 2, pp. 91-110, 2004.
22. T. Cox and M. Cox, Multidimensional Scaling, Chapman and Hall/CRC, 2000.
23. P. Leider, "Vermeer and Hopper, Analyzing the works of Edward Hopper and Jan Vermeer," Art in America, vol. 1, March 2001.