Informational Aesthetics Measures
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The Birkhoff aesthetic measure of an object is the ratio between order and complexity. Informational aesthetics describes the interpretation of this measure from an information-theoretic perspective. From these ideas, the authors define a set of ratios based on information theory and Kolmogorov complexity that can help to quantify the aesthetic experience.
[1] 24 G.D. Birkhoff, Aesthetic Measure, Harvard Univ. Press, 1933.
[2] M. Bense, Einführung in die informationstheoretische Asthetik. Grundlegung und Anwendung in der Texttheorie (Introduction to the Information-theoretical Aesthetics. Foundation and Application to the Text Theory), Rowohlt Taschenbuch Verlag, 1969.
[3] A. Moles, Information Theory and Esthetic Perception, Univ. of Illinois Press, 1968.
[4] T.M. Cover and J.A. Thomas, Elements of Information Theory, Wiley Series in Telecommunications, John Wiley &Sons, 1991.
[5] R. Scha and R. Bod, "Computationele Esthetica," (Computational Esthetics), Informatie en Informatiebeleid, vol. 11, no. 1, 1993, pp. 54–63; English translation available at http://iaaa.nl/rscompestE.html.
[6] J. Rigau, M. Feixas, and M. Sbert, "Conceptualizing Birkhoff's Aesthetic Measure Using Shannon Entropy and Kolmogorov Complexity," Proc. Eurographics Workshop Computational Aesthetics in Graphics, Visualization and Imaging, Eurographics Assoc., 2007, pp. 105–112.
[7] M. Li et al., "The Similarity Metric," IEEE Trans. Information Theory, vol. 50, no. 12, 2004, pp. 3250–3264.
[8] W.H. Zurek, "Algorithmic Randomness and Physical Entropy," Physical Rev. A, vol. 40, no. 8, 1989, pp. 4731–4751.
[9] F. Nake, Ästhetik als Informationsverarbeitung: Grundlagen und Anwendungen der Informatik im Bereich ästhetischer Produktion und Kritik (Aesthetics as Data Processing: Bases and Applications of Computer Science in the Area of Aesthetic Production and Criticism), Springer, 1974.
[10] J. Rigau, M. Feixas, and M. Sbert, "An Information Theoretic Framework for Image Segmentation," Proc. IEEE Int'l Conf. Image Processing (ICIP 04), vol. 2, IEEE Press, 2004, pp. 1193–1196.
[1] G.D. Birkhoff, Aesthetic Measure, Harvard Univ. Press, 1933.
[2] R. Scha and R. Bod, "Computationele Esthetica," (Computational Esthetics), Informatie en Informatiebeleid, vol. 11, no. 1, 1993, pp. 54–63; English translation available at http://iaaa.nl/rscompestE.html.
[3] M. Bense, Einführung in die informationstheoretische Asthetik. Grundlegung und Anwendung in der Texttheorie (Introduction to the Information-theoretical Aesthetics. Foundation and Application to the Text Theory), Rowohlt Taschenbuch Verlag, 1969.
[4] M. Koshelev, "Towards the Use of Aesthetics in Decision Making: Kolmogorov Complexity Formalizes Birkhoff's Idea," Bull. European Assoc. Theoretical Computer Science, vol. 66, Oct. 1998, pp. 166–170.
[5] P. Machado and A. Cardoso, "Computing Aesthetics," Advances in Artificial Intelligence, Proc. 14th Brazilian Symp. Artificial Intelligence (SBIA 98), LNCS 1515, Springer, 1998, pp. 219–228.
[6] G. Greenfield, "On the Origins of the Term 'Computational Aesthetics,'" Proc. Eurographics Workshop Computational Aesthetics in Graphics, Visualization, and Imaging, Eurographics Assoc., 2005, pp. 9–12.
[7] F. Hoenig, "Defining Computational Aesthetics," Proc. Eurographics Workshop Computational Aesthetics in Graphics, Visualization, and Imaging, Eurographics Assoc., 2005, pp. 13–18.
Index Terms:
aesthetic measure, informational aesthetics, information theory, Kolmogorov Complexity, physical entropy
Citation:
Jaume Rigau, Miquel Feixas, Mateu Sbert, "Informational Aesthetics Measures," IEEE Computer Graphics and Applications, vol. 28, no. 2, pp. 24-34, Mar./Apr. 2008, doi:10.1109/MCG.2008.34
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