Class specific redundancies in natural images: A theory of extrastriate visual processing

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2009, Pages 1968-1974

  Malmir, Mohsen ^a   Shiry, Saeed ^a  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL STIMULI; EXTRASTRIATE; INPUT IMAGE; NATURAL IMAGES; OBJECT CONTOUR; REDUCTION MECHANISMS; SENSORY SYSTEM; STATISTICAL PROPERTIES; VISUAL AREAS; VISUAL-PROCESSING;

IMAGE CODING; IMAGE SEGMENTATION; NEURAL NETWORKS; NEURONS; QUALITY ASSURANCE; VISUAL COMMUNICATION;

REDUNDANCY;

EID: 70449587370     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2009.5179012     Document Type: Conference Paper

References (47)

1. J. Huang, d. Mumford, "Statistics of natural images and models, " IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 1999.
2. D. L. Ruderman, W. Bialek, "Statistics of Natural Images: Scaling in the Woods, " Physical Review Letters, vol. 73, pp. 814-817, 1994.
3. C. Zetzsche, B. Wegmann, E. Barth, "Nonlinear Aspects of Primary Vision: Entropy Reduction Beyond Decorrelation, " In: Morreale, J. (Ed.), Proceedings of the SID, Society for Information Display, Playa del Ray, CA. pp. 933-936, 1993.
4. E. P. Simoncelli, "Statistical Models for Images: Compression, Restoration and Synthesis, " In 31st Asilomar Conf on Signals, Systems and Computers, 1997.
5. R. W. Buccigrossi, E. P. Simoncelli, "Image Compression via Joint Statistical Characterization in the Wavelet Domain, " IEEE Transactions on Image Processing, vol. 8, no. 12, pp. 1688-1701, 1999.
6. J. Portilla, V. Strela, M. J. Wainwright, E. P. Simoncelli, "Image Denoising using Scale Mixtures of Gaussians in the Wavelet Domain, " IEEE Transactions on Image Processing, vol. 12, no. 11 pp. 1338-1351, November 2003.
7. S. Fischer, R. Redondo, L. Perrinet, G. Cristobal, "Sparse Approximation of Images Inspired from the Functional Architecture of the Primary Visual Areas, " EURASIP Journal on Advances in Signal Processing, vol. 2007, Article ID 90727, 2007.
8. S. Laughlin, "A simple coding procedure enhances a neuron's information capacity, " Z. Naturforsch, vol. 36, pp. 910-912, 1981.
9. D. Kersten, "Predictability and redundancy of natural images, " Journal of the Optical Society of America, vol. 4, no. 12, pp. 2395-400, 1987.
10. J. Atick, "Could information theory provide an ecological theory of sensory processing?" Network: Computation in Neural Systems, vol. 3, pp. 213-251, 1992.
11. D. Field, "What is the goal of sensory coding?" Neural Computation, vol. 6, pp. 559-601, 1994.
12. F. Attneave, "Some informational aspects of visual perception, " Psychological Review, vol. 61, pp. 183-193, 1954.
13. H. B. Barlow, "Possible principles underlying the transformation of sensory messages, " Sensory Communication. Ed. WA Rosenblith, pp. 217-234, 1961.
14. D. H. Hubel, T. N. Wiesel, "Receptive fields, binocular interaction and functional architecture in the cat's visual cortex, " J. Physiology, vol. 160, pp. 106-154, 1962.
15. R. Desimone, "Face-Selective Cells in the Temporal Cortex of Monkeys, " Journal of Cognitive Neuroscience, vol. 3, no. 1, pp. 1-8, 1991.
16. K. Tanaka, "Inferotemporal cortex and object vision, " Ann. Rev. Neuroscience, vol. 19, pp. 109-139, 1994.
17. N. K. Logothetis, J. Pauls, T. Poggio, "Shape representation in the inferior temporal cortex of monkeys, " Current Biology, vol. 5, pp. 552-563, 1995.
18. J. Hegde, D. C. Van Essen, "Strategies of shape representation in macaque visual area V2, " Visual Neuroscience, vol. 20, pp. 313-328, 2003.
19. A. Pasupathy, C. E. Connor, "Shape representation in area V4: position-specific tuning for boundary conformation, " J. Neurophysiology, vol. 86 No. 5, pp. 2505-2519, Nov. 2001.
20. B. A. Olshausen, D. J. Field, "Emergence of simple cell receptive field properties by learning a sparse code for natural images, " Nature, vol. 381, pp. 607-609, 1996.
21. A. J. Bell, T. J. Sejnowski, "The 'independent components' of natural scenes are edge filters, " Vision Research, vol. 37, no. 23, pp. 3327-3338, 1997.
22. M. J. Wainwright, E. P. Simoncelli, "Scale Mixtures of Gaussians and the Statistics of Natural Images, " Advances in Neural Information Processing Systems, vol. 12, pp. 855-861, 2000.
23. O. Schwartz, E. P. Simoncelli, "Natural signal statistics and sensory gain control, " Nature Neuroscience, vol. 4, pp. 819-825, 2001.
24. Y. Karklin, M. S. Lewicki, "Learning higher-order structures in natural images, " Network: Computation. Neural Systems, vol. 14, pp. 483-499, 2003.
25. H. Valpola, M. Harva, J. Karhunen, "Hierarchical models of variance sources, " Signal Processing, vol. 84, pp. 267-282, 2004.
26. H. J. Park, T. W. Lee, "Unsupervised learning of nonlinear dependencies in natural images, " International J. Imaging Systems. Technology, vol. 15, No. 1, pp. 34-47, 2005.
27. Y. Karklin, M. S. Lewicki, "A Hierarchical Bayesian Model for Learning Nonlinear Statistical Regularities in Nonstationary Natural Signals, " Neural Computation, vol. 17, issue. 2, pp. 397-423, 2005.
28. O. Schwartz, T. J. Sejnowski, P. Dayan, "Soft Mixer Assignment in a Hierarchical Generative Model of Natural Scene Statistics, " Neural Computation, vol. 18, issue. 11, pp. 2680-2718, 2006.
29. A. Hyvärinen, P. Hoyer, M. Inki, "Topographic independent component analysis, " Neural Computation, vol. 13, pp. 1527-1558, 2001.
30. J. H. R. Maunsell, W. T. Newsome, "Visual processing in monkey extrastriate cortex, " Ann. Review. Neuroscience, vol. 10, pp. 363-401, 1987.
31. N. Kanwisher, J. McDermott, M. Chun, "The Fusiform Face Area: A Module in Human Extrastriate Cortex Specialized for Face Perception, " The Journal of Neuroscience, vol. 17, no. 11, pp. 4302-4311, 1997.
32. R. Kiani, H. Esteky, K. Mirpour, K. Tanaka, "Object Category Structure in Response Patterns of Neuronal Population in Monkey Inferior Temporal Cortex, " J Neurophysiology, vol. 97, no. 6, pp. 4296-4309, 2007.
33. P. Seriè, J. Lorenceau, Y. Frégnac, "The 'silent' surround of V1 receptive fields: theory and experiments, " Journal of Physiology-Paris, vol. 97, issues. 4-6, pp. 453-474, 2003.
34. B. Zhang, et.al. "Delayed maturation of receptive field center/surround mechanisms in V2, " Proceedings of the National Academy of Sciences, vol. 2, no. 16, pp. 5862-5867, 2005.
35. J. P. Jones, L. A. Palmer, "An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex, " Journal of Neurophysiology, vol. 58, no. 6, pp. 1233-1258, 1987.
36. L. Itti, C. Koch, J. Braun, "Revisiting spatial vision: towards a unifying model, " Journal of Optical Society of America, vol. 17, no. 11, pp. 1899-1917, 2000.
37. M. Carandini, D. J. Heeger, J. A. Movshon, "Linearity and normalization in simple cells of the macaque primary visual cortex, " Journal of Neuroscience, vol. 17, pp. 8621-8644, 1997.
38. J. H. Reynolds, L. Chelazzi, R. Desimone, "Competitive Mechanisms Subserve Attention in Macaque Areas V2 and V4, " The Journal of Neuroscience, vol. 19, no. 5, pp. 1736-1753, 1999.
39. D. Zoccolan, D. Cox, J. DiCarlo, "Multiple Object Response Normalization in Monkey Inferotemporal Cortex, " The Journal of Neuroscience, vol. 25, no. 36, pp. 8150-8164, 2005.
40. J. Hegdé, D. C. Van Essen, "Selectivity for Complex Shapes in Primate Visual Area V2, " J. Neuroscience, vol. 20, pp. 1-6, 2000.
41. M. Ito, H. Komatsu, "Representation of Angles Embedded within Contour Stimuli in Area V2 of Macaque Monkeys, " J. Neuroscience, vol. 24, pp. 3313-3324, 2004.
42. J. Hegdé, D. C. Van Essen, "A Comparative Study of Shape Representation in Macaque Visual Areas V2 and V4, " Cerebral Cortex, vol. 17, pp. 1100-1116, 2007.
43. X. G. Troncoso, S. L. Macknik, S. Martinez-Conde, "Novel visual illusions related to Vasarely's 'nested squares' show that corner salience varies with corner angle, " Perception, vol. 34, no. 4, pp. 409-420, 2005.
44. E. L. Schwartz, R. Desimone, T. D. Albright, C. G. Gross, "Shape recognition and inferior temporal neurons, " Proceeding of the National Academy of Science, vol. 80, no. 18, pp. 5776-5778, 1983.
45. C. Grigorescu, N. Petkov, M. A. Westenberg, "Contour and boundary detection improved by surround suppression of texture edges, " Image and Vision Computing, vol. 22, pp. 609-622, 2004.
46. J. J. DiCarlo, D. D. Cox, "Untangling invariant object recognition, " Trends in Cognitive Sciences, vol. 11, issue. 8, pp. 333-341, 2007.
47. Object Categories, www.vision. caltech.edu/Image-Datasets/Caltechl0l/.