On the distribution of saliency

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 28, Issue 12, 2006, Pages 1973-1990

  Berengolts, Alexander ^a   Lindenbaum, Michael ^a  

^a TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

Figure from ground; Grouping; Perceptual organization; Saliency networks

Indexed keywords

EDGE DETECTION; OPTIMIZATION; PATTERN RECOGNITION; PROBABILISTIC LOGICS; PROBABILITY DISTRIBUTIONS;

FIGURE-FROM-GROUND; GROUPING; PERCEPTUAL ORGANIZATION; SALIENCY NETWORKS;

ALGORITHMS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL DISTRIBUTION; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STATISTICAL DISTRIBUTIONS;

EID: 33947097971     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2006.249     Document Type: Article

References (41)

1. M. Wertheimer, "Untersuchungen zur Lehre von der Gestalt, ii," Psychologische Forschung, vol. 4, pp. 301-350, 1923,
2. abridged English translation, Laws of Organization in Perceptual Forms, pp. 331-363, 1938.
3. S. Palmer, Vision Science - Photons to Phenomenology. MIT Press, 1999.
4. U. Neisser, Cognitive Psychology. New York: Appleton-Century- Crofts, 1967.
5. A. Treisman and G. Gelade, "A Feature Integration Theory of Attention," Cognitive Psychology, vol. 12, pp. 97-136, 1980.
6. C. Koch and S. Ullman, "Shifts in Selective Visual Attention: Towards the Underlying Neural Circuitry," Human Neurobiology, vol. 4, pp. 219-227, 1985.
7. J. Tsotsos, S. Culhane, W. Wai, Y. Lai, N. Davis, and F. Nuflo, "Modeling Visual Attention via Selective Tuning," Artificial Intelligence, vol. 78, nos. 1-2, pp. 507-545, 1995.
8. D. Marr, Vision: A Computational Investigation into the Human Representation and Processing of Visual Information. W.H. Freeman and Company, 1982.
9. A. Sha'ashua and S. Ullman, "Structural Saliency: The Detection of Globally Salient Structures Using Locally Connected Network," Proc. Int'l Conf. Computer Vision (ICCV '88), pp. 321-327, 1988.
10. U. Montanari, "On the Optimal Detection of Curves in Noisy Pictures. "Comm. ACM, vol. 14, pp. 335-345, 1971.
11. T. Alter and R. Basri, "Extracting Salient Curves from Images: An Analysis of the Saliency Network," Int'l J. Computer Vision, vol. 27, pp. 51-69, 1998.
12. G. Guy and G. Medioni, "Inferring Global Perceptual Contours from Local Features," Int'l J. Computer Vision, vol. 20, nos. 1-2, pp. 113-33, Oct. 1996.
13. L. Williams and D. Jacobs, "Stochastic Completion Fields: A Neural Model of Illusory Contour Shape and Salience," Proc. Int'l Conf. Computer Vision (ICCV '95), pp. 408-415, 1995.
14. S. Sarkar and K. Boyer, "Quantitative Measures of Change Based on Feature Organization: Eigenvalues and Eigenvectors," Proc. Conf. Computer Vision and Pattern Recognition (CVPR '96), pp. 478-483, 1996.
15. L.R. Williams and K.K. Thornber, "A Comparison of Measures for Detecting Natural Shapes In Cluttered Backgrounds," Proc. European Conf. Computer Vision, pp. 432-448, 1998.
16. L. Herault and R. Horaud, "Figure-Ground Discrimination by Mean Field Annealing," Proc. European Conf. Computer Vision (ECCV '92), pp. 58-66, 1992.
17. A. Amir and M. Lindenbaum, "Ground from Figure Discrimination," Computer Vision and Image Understanding, vol. 76, no. 1, pp. 7-18, Oct. 1999.
18. P. Parent and S. Zucker, "Trace Inference, Curvature Consistency, and Curve Detection," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 11, no. 8, pp. 823-839, Aug. 1989.
19. E. Sharon, A. Brandt, and R. Basri, "Fast Multiscale Image Segmentation," Proc. Conf. Computer Vision and Pattern Recognition (CVPR '00), pp. 70-77, 2000.
20. I. Jermyn and H. Ishikawa, "Globally Optimal Regions and Boundaries as Minimum Ratio Weight Cycles," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 23, no. 10, pp. 1075-1088, Oct. 2001.
21. E. Saund, "Perceptual Organization of Occluding Contours of Opaque Surfaces," Computer Vision and Image Understanding, vol. 76, no. 1, pp. 70-82, Oct. 1999.
22. X. Ren, C. Fowlkes, and J. Malik, "Scale-Invariant Contour Completion Using Conditional Random Fields," Proc. Int'l Conf. Computer Vision (ICCV '05), vol. 2, pp. 1214-1221, 2005.
23. J. Canny, "A Computational Approach to Edge Detection," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 8, no. 6, pp. 679-698, 1986.
24. B. Dubuc and S. Zucker, "Complexity, Confusion, and Perceptual Grouping. Part II: Mapping Complexity," Int'l J. Computer Vision, vol. 42, nos. 1/2, pp. 83-115, 2001.
25. D.R. Martin, C.C. Fowlkes, and J. Malik, "Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 26, no. 1, pp. 1-20, 2004.
26. R. Golubchyck and M. Lindenbaum, "Improving the Saliency Algorithm by Cue Optimization," Technical Report MSC-2006-07, Technion, 2006.
27. J. Elder and S.W. Zucker, "Computing Contour Closure," proc. European Conf. Computer Vision (ECCV '96), vol. 1, pp. 399-412, 1996.
28. A. Amir and M. Lindenbaum, "A Generic Grouping Algorithm and Its Quantitative Analysis," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 2, pp. 168-185, Feb. 1998.
29. A. Berengolts and M. Lindenbaum, "On the Performance of Connected Components Grouping," Int'l J. Computer Vision vol. 41, no. 3, pp. 195-216, 2001.
30. J. Elder and R.M. Goldberg, "Ecological Statistics of Gestalt Laws for the Perceptual Organization of Contours," J. Vision, vol. 2 no. 4, pp. 324-353, 2002.
31. M. Lindenbaum and A. Berengolts, "A Probabilistic Interpretation of the Saliency Network," Proc. European Conf. Computer Vision (ECCV '00), pp. 257-272, 2000.
32. A. Berengolts and M. Lindenbaum, "On the Distribution of Saliency," Proc. Conf. Computer Vision and Pattern Recognition (CVPR), vol. 2, pp. 543-549, 2004.
33. A. Berengolts and M. Lindenbaum, "On the Distribution of Saliency," Technical Report CIS-2004-03, Technion, 2004.
34. D.G. Lowe, Perceptual Organization and Visual Recognition. Kluwer Academic, 1985.
35. A.P. Witkin and J.M. Tenenbaum, "On the Role of Structure in Vision," Human and Machine Vision, pp. 481-543, Feb. 1983.
36. S. Sarkar and K.L. Boyer, "Perceptual Organization in Computer Vision: A Review and Proposal for a Classifactory Structure," IEEE Trans. Systems, Man, and Cybernetics, vol. 23, no. 2, pp. 382-399, Mar./Apr. 1993.
37. A. Stuart and K. Ord, Kendall's Advanced Theory of Statistics, vol. 1. Arnold Press, 2003.
38. F. Edgeworth, "The Law of Error," Trans. Cambridge Philosophical Soc., vol. 20, pp. 36-113, 1904.
39. C. Charlier, "Applications [de la théorie des probabilityés] à l'astronomie," Traité, 1931.
40. K. Fukunaga, Introduction to Statistical Pattern Recognition, second ed. Academic Press, 1990.
41. J. Shen and S. Castan, "An Optimal Linear Operator for Edge Detection," Proc. Conf. Computer Vision and Pattern Recognition (CVPR '86), pp. 109-114, 1986.