A model of multi-scale perceptual organization in information graphics

Proceedings - IEEE Symposium on Information Visualization, INFO VIS

Volumn , Issue , 2003, Pages 23-30

  Wattenberg, Martin ^a   Fisher, Danyel ^b  

^a IBM RESEARCH   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Design methodology; Perceptual organization; Scale space; Visualization

Indexed keywords

DESIGN AESTHETICS; DESIGN METHODOLOGY; FORMAL MODEL; GRAY-SCALE IMAGES; HUMAN PERCEPTION; INFORMATION GRAPHICS; LATTICE STRUCTURES; MACHINE VISION; MULTIPLE RESOLUTIONS; MULTISCALES; PERCEPTUAL ORGANIZATION; SCALE SPACES; SOFTWARE TOOL; VISUAL DISPLAY; VISUAL STRUCTURE;

COMPUTER GRAPHICS; COMPUTER VISION; INFORMATION ANALYSIS; INFORMATION SYSTEMS; VISUALIZATION;

DESIGN;

EID: 78649542758     PISSN: 1522404X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INFVIS.2003.1249005     Document Type: Conference Paper

References (39)

1. ANTOINE et al. 1993. Image analysis with two-dimensional continuous wavelet transform, Signal Processing, 1993, pp. 241-272.
2. BERTIN, J. 1983. The semiology of graphics. Univ. Wisconsin Press: Madison, Wisc.
3. BURT, P.J, ADELSON, E.H, 1983. The Laplacian Pyramid as a Compact Image Code, IEEE Trans. on Communications, pp. 532-540.
4. CANNY, J. 1986. A Computational Approach to Edge Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 8: (6) 679-698.
5. CLEVELAND,W., 1980. The Elements of Graphing Data. Monterey, Calif.: Wadsworth.
6. ELDER, J., GOLDBERG, M., 2002. Ecological statistics of Gestalt laws for the perceptual organization of contours, Journal of Vision, 2, 324-353.
7. FIX, JOHN D. 1999. Astronomy: Journey to the Cosmic Frontier. New York:McGraw-Hill. 1999: Second edition, Updated.
8. FURNAS, G. W., AND BEDERSON, B. 1995. Space-scale diagrams: Understanding multiscale interfaces. Proceedings, CHI95, Human Factors in Computing Systems.
9. TER HAAR ROMENY et al. 2001. Color Differential Structure. Scale-Space 2001: 353-361.
10. HEALEY, C. G., et al., 1993. Harnessing Preattentive Processes for Multivariate Data Visualization. Proceedings Graphics Interface '93), pp. 107-117.
11. IIJIMA, T. 1959. Basic theory of pattern observation, Papers of Technical Group on Automata Control, IECE, Japan.
12. ITTI, L., KOCH, C. 2001. Computational Modeling of Visual Attention, Nature Reviews Neuroscience, Vol. 2, No. 3, pp. 194-203.
13. KALITZIN, S. et al. 1997. Invertible orientation bundles on 2d scalar images, Scale-Space Theories in Computer Vision, 77-88, Springer-Verlag.
14. KOENDERINK, J. J. 1984. The structure of images. Biological Cybernetics, 50:363--370, 1984.
15. KOSSLYN, S. M. 1989. Understanding Charts and Graphs. Applied Cognitive Psychology 3:185-226.
16. KUBOVY, M. 1994. The perceptual organization of dot lattices. Psychonomic Bulletin & Review, 1, 182-190.
17. LEUNG, Y. et al., 2000. Clustering by Scale-Space Filtering, IEEE Trans. on Pattern Analysis and Machine Intelligence, 22:12.
18. LI, Z. 1998. A neural model of contour integration in the primary visual cortex. Neural Computation, 10, 903-940.
19. LINDEBERG, T. 1994. Scale-Space Theory in Computer Vision, Kluwer, Dordrecht.
20. MACKINLAY, J. D. 1988. Applying a Theory of Graphical Presentation to the Graphic Design of User Interfaces. Proceedings of the ACM SIGGRAPH Symposium on User Interface Software (UIST '88) 179-189.
21. MARR, D. AND HILDRETH, E. 1980. Theory of Edge Detection, Proc. R. Soc. London, B 207, 187-217.
22. NAVON, D. 1977. Forest before trees: The precedence of global features in visual perception. Cognitive Psychology 9: 353-383.
23. PALMER, S. E. 1977. Hierarchical structure in perceptual representation. Cognitive Psychology, 9, 441-474.
24. PARKER, J.R. 1997. Algorithms for Image Processing and Computer Vision, JohnWiley & Sons.
25. PERONA, P., MALIK, J. 1990. Scale-space and edge detection using anisotropic diffusion. IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 12,no. 7, pp. 629-639.
26. SARKER, S. 1999. Perceptual Organization in Computer Vision: Status, Challenges, and Potential. Computer Vision and Image Understanding, 76,1 : 1-5.
27. SAUND, E. 1990. Symbolic Construction of a 2-D Scale-Space Image. IEEE Transactions on Pattern Analysis and Machine Intelligence 12(8): 817-830.
28. SCOTT, D. W. 1992. Multivariate Density Estimation. Wiley-Interscience.
29. SHEN J. AND CASTAN, S. 1992. An Optimal Linear Operator for Step Edge Detection, Computer Vision, Graphics, and Image Processing, Vol. 34, 321-343.
30. SHNEIDERMAN, B. 1992. Tree Visualization with Tree-Maps: 2-d spacefilling approach. ACM Trans. Comput. Graph. 11, 1, 92-97.
31. SHNEIDERMAN, B., et al. 1995, Evaluating spatial and textual style of displays, Proc. of Getting the Best from State-of-the-Art Display Systems '95, London.
32. SPENCE, I., GARRISON, R.F. 1993 A remarkable scatterplot. The American Statistician, 47, 12-19.
33. TUFTE, E. 1990. Envisioning Information. Graphics Press.
34. TULLIS, T. S. 1984. A Computer-Based Tool for Evaluating Alphanumeric Displays. Proceedings of INTERACT'84.
35. WARE, C. 2000. Information Visualization: Perception for Design. San Francisco: Morgan-Kaufmann.
36. WATTENBERG, M. 1999. Visualizing the Stock Market, CHI99 Extended Abstracts.
37. WERTHEIMER, M. 1924/1950. Gestalt theory. In W.D. Ellis (Ed.), A sourcebook of Gestalt psychology (pp. 1-11). New York: the Humanities Press.
38. WITKIN, A. 1983. Scale-space filtering, Proc. Eighth Int. Joint Conf. on Artificial Intelligence (IJCAI '83, Karlsruhe, Aug. 8--12, 1983.
39. WITKIN, A., TENENBAUM, J.M. 1983. On the role of structure in vision. In Human and Machine Vision, A. Rosenfeld ed. Academic Press.