An information theory approach to aesthetic assessment of visual patterns
Authors: Khalili, A. and Bouchachia, H.
Journal: Entropy
Volume: 23
Issue: 2
Pages: 1-17
eISSN: 1099-4300
DOI: 10.3390/e23020153
Abstract: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.
https://eprints.bournemouth.ac.uk/35165/
Source: Scopus
An Information Theory Approach to Aesthetic Assessment of Visual Patterns.
Authors: Khalili, A. and Bouchachia, H.
Journal: Entropy (Basel)
Volume: 23
Issue: 2
eISSN: 1099-4300
DOI: 10.3390/e23020153
Abstract: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.
https://eprints.bournemouth.ac.uk/35165/
Source: PubMed
An Information Theory Approach to Aesthetic Assessment of Visual Patterns
Authors: Khalili, A. and Bouchachia, H.
Journal: ENTROPY
Volume: 23
Issue: 2
eISSN: 1099-4300
DOI: 10.3390/e23020153
https://eprints.bournemouth.ac.uk/35165/
Source: Web of Science (Lite)
An Information Theory Approach to Aesthetic Assessment of Visual Patterns.
Authors: Khalili, A. and Bouchachia, H.
Journal: Entropy (Basel, Switzerland)
Volume: 23
Issue: 2
Pages: 153
eISSN: 1099-4300
ISSN: 1099-4300
DOI: 10.3390/e23020153
Abstract: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.
https://eprints.bournemouth.ac.uk/35165/
Source: Europe PubMed Central
An Information Theory Approach to Aesthetic Assessment of Visual Patterns.
Authors: Khalili, A. and Bouchachia, H.
Journal: Entropy
Volume: 23
Issue: 2
ISSN: 1099-4300
Abstract: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.
https://eprints.bournemouth.ac.uk/35165/
Source: BURO EPrints