2021
DOI: 10.3390/e23020153
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An Information Theory Approach to Aesthetic Assessment of Visual Patterns

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 level… Show more

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Cited by 7 publications
(5 citation statements)
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“…To what extent can the Figure 4 design space be quantitatively characterized? Can mathematical approaches for analyzing entropy, information content, and structural specificity (Larkin, 2016;Khalili and Bouchachia, 2021;Suzuki et al, 2023) be applied in order to better classify the aesthetic domains spanned by Figure 4, and how might different aesthetic classifications impact participants? Despite the fact that energy bodies within the numadelic aesthetic are characterized by low structural specification and low symbolic rigidity, they satisfy various conditions required for the experience of 'self', which some researchers call 'minimal phenomenal selfhood' (MPS) (Blanke and Metzinger, 2009).…”
Section: Discussionmentioning
confidence: 99%
“…To what extent can the Figure 4 design space be quantitatively characterized? Can mathematical approaches for analyzing entropy, information content, and structural specificity (Larkin, 2016;Khalili and Bouchachia, 2021;Suzuki et al, 2023) be applied in order to better classify the aesthetic domains spanned by Figure 4, and how might different aesthetic classifications impact participants? Despite the fact that energy bodies within the numadelic aesthetic are characterized by low structural specification and low symbolic rigidity, they satisfy various conditions required for the experience of 'self', which some researchers call 'minimal phenomenal selfhood' (MPS) (Blanke and Metzinger, 2009).…”
Section: Discussionmentioning
confidence: 99%
“…Such aesthetic approaches may be good models of non-ordinary experiences where phenomenological priors are ill-defined owing to weak overlap with day-to-day experience. Given the recent interest in using immersive technologies to develop non-ordinary and transformative experiences, (Gaggioli, 2016;Chirico et al, 2022;Smith and Warner, 2022;Stepanova et al, 2022;Hartogsohn, 2023;Kaup et al, 2023;Liedgren et al, 2023;Miller et al, 2023) approaches for analyzing entropy, information content, and structural specificity (Larkin, 2016;Khalili and Bouchachia, 2021;Suzuki et al, 2023) be applied in order to better classify the aesthetic domains spanned by Fig 4, and how might different aesthetic classifications impact participants? Despite the fact that energy bodies within the numadelic aesthetic are characterized by low structural specification and low symbolic rigidity, they satisfy various conditions required for the experience of 'self', which some researchers call 'minimal phenomenal selfhood' (MPS).…”
Section: Discussionmentioning
confidence: 99%
“…Deep learning based approaches have presented outstanding performance in many application areas, including computer vision [22], information theory [23], natural language processing [24], and more recently animal breeding [25,26]. Due to their hierarchical nature, such models have substantial generalization capabilities, especially when trained on proper data considering a specific problem before hand.…”
Section: Deep Based Udder Classificationmentioning
confidence: 99%