Elements of information theory
Elements of information theory
An introduction to Kolmogorov complexity and its applications (2nd ed.)
An introduction to Kolmogorov complexity and its applications (2nd ed.)
SBIA '98 Proceedings of the 14th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
Turbulent Luminance in Impassioned van Gogh Paintings
Journal of Mathematical Imaging and Vision
Informational Aesthetics Measures
IEEE Computer Graphics and Applications
IEEE Transactions on Information Theory
On the origins of the term "Computational aesthetics"
Computational Aesthetics'05 Proceedings of the First Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Defining computational aesthetics
Computational Aesthetics'05 Proceedings of the First Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Conceptualizing Birkhoff's aesthetic measure using Shannon entropy and Kolmogorov complexity
Computational Aesthetics'07 Proceedings of the Third Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Computational Aesthetics 2008: Categorizing art: Comparing humans and computers
Computers and Graphics
Image information in digital photography
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume part II
Investigating aesthetic features to model human preference in evolutionary art
EvoMUSART'12 Proceedings of the First international conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design
Image statistics for clustering paintings according to their visual appearance
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
Learning aesthetic judgements in evolutionary art systems
Genetic Programming and Evolvable Machines
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From the pioneering work by Birkhoff, several measures have been proposed to quantify the aesthetic content of art. After Bense's application of information theory to Birkhoff's ideas, the concept of informational aesthetics appears. In this paper, we analyze a selection of van Gogh's paintings using a set of informational aesthetic measures based on the entropy of the palette, the compressibility of the image, and an information channel to capture the basic structure of the painting. The values of these measures match fairly well against the different styles in van Gogh's work and allow a quantitative description of these periods. In addition, we present two new measures which quantify the information associated with both color and canvas regions and enable us to visualize the most salient colors and elements of a painting.We believe that informational aesthetic measures can contribute to discovering relevant characteristics of a painting or of a painter's style.