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An Information Theory Approach to Aesthetic Assessment of Visual Patterns.

Khalili, A. and Bouchachia, H., 2021. An Information Theory Approach to Aesthetic Assessment of Visual Patterns. Entropy, 23 (2), 153.

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entropy-23-00153.pdf - Published Version
Available under License Creative Commons Attribution.


DOI: 10.3390/e23020153


The question of beauty has inspired philosophers and scientists for centuries. Today, the study of aesthetics is an active research topic in fields as diverse as computer science, neuroscience, and psychology. Measuring the aesthetic appeal of images is beneficial for many applications. In this paper, we will study the aesthetic assessment of simple visual patterns. The proposed approach suggests that aesthetically appealing patterns are more likely to deliver a higher amount of information over multiple levels in comparison with less aesthetically appealing patterns when the same amount of energy is used. The proposed approach is evaluated using two datasets; the results show that the proposed approach is more accurate in classifying aesthetically appealing patterns compared to some related approaches that use different complexity measures.

Item Type:Article
Additional Information:(This article belongs to the Special Issue Information Entropy Algorithms for Image, Video, and Signal Processing)
Uncontrolled Keywords:computer vision ; evolutionary art ; human–computer interaction ; image aesthetic assessment ; information theory
Group:Faculty of Science & Technology
ID Code:35165
Deposited By: Symplectic RT2
Deposited On:08 Feb 2021 12:25
Last Modified:14 Mar 2022 14:26


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