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Natural scene statistics mediate the perception of image complexity
Authors:Nicolas Gauvrit  Fernando Soler-Toscano  Hector Zenil
Affiliation:1. CHArt (PARIS-reasoning), Ecole Pratique des Hautes Etudes, Paris, Francengauvrit@me.com;3. Grupo de Lógica, Lenguaje e Información, Universidad de Sevilla, Sevilla, Spain;4. Unit of Computational Medicine, Center for Molecular Medicine, Karolinska Institute, Solna, Sweden
Abstract:Humans are sensitive to complexity and regularity in patterns (Falk & Konold, 1997; Yamada, Kawabe, & Miyazaki, 2013). The subjective perception of pattern complexity is correlated to algorithmic (or Kolmogorov-Chaitin) complexity as defined in computer science (Li & Vitányi, 2008), but also to the frequency of naturally occurring patterns (Hsu, Griffiths, & Schreiber, 2010). However, the possible mediational role of natural frequencies in the perception of algorithmic complexity remains unclear. Here we reanalyze Hsu et al. (2010) through a mediational analysis, and complement their results in a new experiment. We conclude that human perception of complexity seems partly shaped by natural scenes statistics, thereby establishing a link between the perception of complexity and the effect of natural scene statistics.
Keywords:Visual complexity  Visual perception  Algorithmic complexity  Randomness
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