Computational Aesthetics 2008: Categorizing art: Comparing humans and computers
Computers and Graphics
Similarity Grouping of Paintings by Distance Measure and Self Organizing Map
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
NPAR '10 Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering
The XAOS metric: understanding visual complexity as measure of usability
USAB'10 Proceedings of the 6th international conference on HCI in work and learning, life and leisure: workgroup human-computer interaction and usability engineering
Modelling human preference in evolutionary art
EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part II
Comparing aesthetic measures for evolutionary art
EvoCOMNET'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part II
Aesthetic appraisal of art - from eye movements to computers
Computational Aesthetics'09 Proceedings of the Fifth Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Toward Auvers period: evolution of van Gogh's style
Computational Aesthetics'10 Proceedings of the Sixth international conference on Computational Aesthetics in Graphics, Visualization and Imaging
Informational dialogue with van Gogh's paintings
Computational Aesthetics'08 Proceedings of the Fourth Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
PHOG-derived aesthetic measures applied to color photographs of artworks, natural scenes and objects
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
Abstract painting with interactive control of perceptual entropy
ACM Transactions on Applied Perception (TAP)
How self-similar are artworks at different levels of spatial resolution?
Proceedings of the Symposium on Computational Aesthetics
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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.