Comparing higher-order spatial statistics and perceptual judgements in the stylometric analysis of art

European Signal Processing Conference

Volumn , Issue , 2011, Pages 1244-1248

  Hughes, James M ^a   Graham, Daniel J ^b   Jacobsen, C Robert ^b,c   Rockmore, Daniel N ^a,b  

^a Dartmouth Department of Computer Science_Dartmouth College   (United States)

^b Dartmouth College   (United States)

^c AALBORG UNIVERSITY   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

ART IMAGE; FIRST-ORDER; HUMAN PERCEPTION; IMAGE SEARCH; PERCEPTUAL INFORMATION; PERCEPTUAL JUDGEMENTS; SPATIAL STATISTICS; STATISTICAL REPRESENTATIONS;

IMAGE RETRIEVAL; SIGNAL PROCESSING;

HIGHER ORDER STATISTICS;

EID: 84863753786     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. A. Bell and T. Sejnowski, "An information-maximization approach to blind separation and blind deconvolution," Neural Computation, vol. 7, no. 6, pp. 1129-1159, 1995.
2. C. M. Bishop (2007) Pattern Recognition and Machine Learning, New York: Springer, 2007.
3. "Charlotte" data set. http://www.math.princeton.edu/ipai/ datasets.html.
4. J. Daugman, "Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters," Journal of the Optical Society of America A, vol. 2, no. 7, pp. 1160-1169, 1985.
5. D. J. Field, "Relations between the statistics of natural Images and the response profiles of cortical cells," Journal of the Optical Society of America A, vol. 4, pp. 2379-2394, 1987.
6. D. J. Field, "What is the goal of sensory coding?" Neural Computation, vol. 6, pp. 559-601, 1994.
7. D. J. Graham and D. J. Field, "Sparse coding in the neocortex," In Evolution of Nervous Systems, Vol. III, eds. J. H. Kaas and L. A. Krubitzer. Oxford: Elsevier, pp. 181-187, 2006.
8. D. J. Graham and D. J. Field, "Statistical regularities of art images and natural scenes: spectra, sparseness and nonlinearities," Spatial Vision, vol. 21, pp. 149-164, 2007.
9. D. J. Graham and D. J. Field, "Variations in intensity statistics for representational and abstract art, and for art from the eastern and western hemispheres," Perception, vol. 37, pp. 1341-1352, 2008.
10. D. J. Graham, J. D. Friedenberg, D. N. Rockmore and D. J. Field, "Mapping the similarity space of paintings: image statistics and visual perception," Visual Cognition, vol. 18, pp. 559-573, 2010.
11. T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning, New York: Springer, 2005.
12. J. M. Hughes, D. J. Graham, and D. N. Rockmore, "Quantification of artistic style through sparse coding analysis in the drawings of Pieter Bruegel the Elder," Proceedings of the National Academy of Sciences, vol. 107, pp. 1279-1283, 2010.
13. C.R. Jacobsen, J.M. Hughes, D.J. Graham, and D.N. Rockmore, "A distance metric between sets of vectors," in preparation.
14. C.R. Johnson, Jr., et al., "Image processing for artist identification," IEEE Signal Processing Magazine, July 2008.
15. C. Manning, P. Raghavan, and H. Schütze, An Introduction to Information Retrieval, Cambridge: Cambridge University Press, 2009.
16. Matlab software. The Mathworks, Natick, MA, 2011.
17. Museum of Modern Art, New York City. Courtesy Jim Coddington.
18. B. Olshausen and D. Field, "Emergence of simple-cell receptive field properties by learning a sparse code for natural images," Nature, vol. 381, pp. 607-609, June 1996.
19. B. Olshausen and D. Field, "Sparse coding with an overcomplete basis set: a strategy employed by V1?," Vision Research, vol. 37, no. 23, pp. 3311-3325, 1997.
20. Orenstein, N. M., Ed. Pieter Bruegel - Drawings and Prints. Metropolitan Museum of Art, New York City and Yale University Press, New Haven, 2001.
21. C. Redies, J. Hasenstein and J. Denzler, "Fractal-like image statistics in visual art: similarity to natural scenes." Spatial Vision, vol. 21, pp. 137-148, 2007.
22. C. Wallraven, R. Fleming, D. W. Cunningham, J. Rigau, M. Feixas and M. Sbert, "Categorizing art: comparing humans and computers," Computers and Graphics, vol. 33, pp. 484-495, 2009.