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Issue No.10 - Oct. (2013 vol.19)
pp: 1746-1757
Sungkil Lee , Dept. of Comput. Sci. & Eng., Sungkyunkwan Univ., Suwon, South Korea
M. Sips , Helmholtz Centre Potsdam, German Res. Centre for Geosci. GFZ, Potsdam, Germany
H-P Seidel , Max-Planck-Inst. Inf., Saarbrucken, Germany
Visualization techniques often use color to present categorical differences to a user. When selecting a color palette, the perceptual qualities of color need careful consideration. Large coherent groups visually suppress smaller groups and are often visually dominant in images. This paper introduces the concept of class visibility used to quantitatively measure the utility of a color palette to present coherent categorical structure to the user. We present a color optimization algorithm based on our class visibility metric to make categorical differences clearly visible to the user. We performed two user experiments on user preference and visual search to validate our visibility measure over a range of color palettes. The results indicate that visibility is a robust measure, and our color optimization can increase the effectiveness of categorical data visualizations.
Image color analysis, Visualization, Data visualization, Optimization, Measurement, Retina,user interface, Color design, visualization, visibility
Sungkil Lee, M. Sips, H-P Seidel, "Perceptually Driven Visibility Optimization for Categorical Data Visualization", IEEE Transactions on Visualization & Computer Graphics, vol.19, no. 10, pp. 1746-1757, Oct. 2013, doi:10.1109/TVCG.2012.315
[1] L.D. Bergman, B.E. Rogowitz, and L.A. Treinish, "A Rule-Based Tool for Assisting Colormap Selection," Proc. IEEE Conf. Visualization, pp. 118-125, 1995.
[2] J. Bertin, Graphische Semiologie. Walter de Gruyter, 1974.
[3] M.J. Bravo and H. Farid, "A Scale Invariant Measure of Clutter," J. Vision, vol. 8, no. 1, pp. 1-9, 2008.
[4] C.A. Brewer, "Review of Colour Terms and Simultaneous Contrast Research for Cartography," Cartographica: The Int'l J. Geographic Information and Geovisualization, vol. 29, no. 3, pp. 20-30, 1992.
[5] C.A. Brewer, "Evaluation of a Model for Predicting Simultaneous Contrast on Color Maps," Professional Geographer, vol. 49, no. 3, pp. 280-294, 1997.
[6] C.A. Brewer, "Color Use Guidelines for Data Representation," Proc. Section Statistical Graphics, pp. 55-60, 1999.
[7] Recommendations on Uniform Colour Spaces, Colour Difference Equations, Psychometric Colour Terms. CIE publication, 1978.
[8] M. D'Zmura, "Color in Visual Search," Vision Research, vol. 31, no. 6, pp. 951-966, 1991.
[9] M.D. Fairchild, Color Appearance Models, vol. 3, Wiley, 2005.
[10] C.L. Folk, R.W. Remington, and J.C. Johnston, "Involuntary Covert Orienting Is Contingent on Attentional Control Settings," J. Experimental Psychology Human Perception and Performance, vol. 18, pp. 1030-1030, 1992.
[11] E.M. Granger, "Is CIE L∗ a∗ b∗ Good Enough for Desktop Publishing?" Proc. SPIE, vol. 2170, p. 144, 1994.
[12] H.-K. Nienhuys, "The Lagom LCD Monitor Test Pages, 2012," http://www.lagom.nllcd-test/, Aug. 2012.
[13] M. Harrower and C.A. Brewer, " An Online Tool for Selecting Colour Schemes for Maps," Cartographic J., vol. 40, pp. 27-37, 2003.
[14] C.G. Healey, "Choosing Effective Colours for Data Visualization," Proc. IEEE Conf. Visualization, pp. 263-271, 1996.
[15] L. Itti, C. Koch, and E. Niebur, "A Model of Saliency-Based Visual Attention for Rapid Scene Analysis," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 11, pp. 1254-1259, Nov. 1998.
[16] J. Jonides, "Further Toward a Model of the Mind's Eye's Movement," Bull. Psychonomic Soc., vol. 21, no. 5, pp. 247-250, 1983.
[17] M. Kawai, K. Uchikawa, and H. Ujike, "Influence of Color Category on Visual Search," Proc. Ann. Meeting Assoc. for Research in Vision and Ophthalmology, p. 2991, 1995.
[18] D.A. Keim, "Designing Pixel-Oriented Visualization Techniques: Theory and Applications," IEEE Trans. Visualization and Computer Graphics, vol. 6, no. 1, pp. 59-78, Jan.-Mar. 2000.
[19] C. Koch and S. Ullman, "Shifts in Selective Visual Attention: Towards the Underlying Neural Circuitry," Human Neurobiology, vol. 4, no. 4, pp. 219-227, 1985.
[20] S.W. Kuffler, "Discharge Patterns and Functional Organization of Mammalian Retina," J. Neurophysiology, vol. 16, no. 1, pp. 37-68, 1953.
[21] H. Levkowitz and G.T. Herman, "Color Scales for Image Data," IEEE Computer Graphics and Applications, vol. 12, no. 1, pp. 72-80, Jan. 1992.
[22] D. Parkhurst, K. Law, and E. Niebur, "Modeling the Role of Salience in the Allocation of Overt Visual Attention," Vision Research, vol. 42, no. 1, pp. 107-123, 2002.
[23] P. Robertson and J. O'Callaghan, "The Generation of Color Sequences for Univariate and Bivariate Mapping," IEEE Computer Graphics and Applications, vol. 6, no. 2, pp. 24-32, Feb. 1986.
[24] S. Sitch, B. Smith, I.C. Prentice, A. Arneth, A. Bondeau, W. Cramer, J. Kaplan, S. Levis, W. Lucht, M. Sykes, K. Thonicke, and S. Venevsky, "Evaluation of Ecosystem Dynamics, Plant Geography and Terrestrial Carbon Cycling in the LPJ Dynamic Vegetation Model," Global Change Biology, vol. 9, pp. 161-185, 2003.
[25] D. Sagi and B. Julesz, ""Where" and "What" in Vision," Science, vol. 228, no. 4704, pp. 1217-1219, 1985.
[26] J.D. Schall, T.R. Sato, K.G. Thompson, A.A. Vaughn, and C.-H. Juan, "Effects of Search Efficiency on Surround Suppression during Visual Selection in Frontal Eye Field," J. Neurophysiology, vol. 91, pp. 2765-2769, 2004.
[27] M. Stone, "In Color Perception, Size Matters," IEEE Computer Graphics and Applications, vol. 32, no. 2, pp. 8-13, Mar./Apr. 2012.
[28] J. Theeuwes, "Perceptual Selectivity for Color and Form," Perception and Psychophysics, vol. 51, no. 6, pp. 599-606, 1992.
[29] A.M. Treisman and G. Gelade, "A Feature-Integration Theory of Attention," Cognitive Psychology, vol. 12, pp. 97-136, 1980.
[30] B.E. Trumbo, "A Theory for Coloring Bivariate Statistical Maps," Am. Statistician, vol. 35, no. 4, pp. 220-226, 1981.
[31] United States Dept. of Commerce, Census Bureau Website, http:/, Mar. 2011.
[32] L. Wang, J. Giesen, K.T. McDonnell, P. Zolliker, and K. Mueller, "Color Design for Illustrative Visualization," IEEE Trans. Visualization and Computer Graphics, vol. 14, no. 6, pp. 1739-1754, Nov./Dec. 2008.
[33] C. Ware, Information Visualization—Perception for Design, vol. 3, Morgan Kaufmann, 2004.
[34] M. Wijffelaars, R. Vliegen, J.J. van Wijk, and E.-J. van der Linden, "Generating Color Palettes Using Intuitive Parameters," Computer Graphics Forum, vol. 27, no. 3, pp. 743-750, 2008.
[35] J.M. Wolfe, "Visual Search," Attention, vol. 1, pp. 13-73, 1998.
[36] J. Xing and D.J. Heeger, "Center-Surround Interactions in Foveal and Peripheral Vision," Vision Research, vol. 40, no. 22, pp. 3065-3072, 2000.
[37] A. Zeileis, K. Hornik, and P. Murrell, "Escaping RGBland: Selecting Colors for Statistical Graphics," Computational Statistics and Data Analysis, vol. 53, no. 9, pp. 3259-3270, 2009.
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