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Computational Analysis Problem of Aesthetic Content in Fine-Art Paintings

https://doi.org/10.30727/0235-1188-2022-65-2-120-140

Abstract

The article discusses the possibilities of the formal analysis of the fine-art painting composition on the basis of the classical definitions of beauty and computational aesthetics’ approaches of the second half of the 20th century he authors define the problem and consider solutions for the formalization of aesthetic perception in the context of aesthetic text, i.e., as part of the fine arts composition – a formal sequence of signs simply ordered in accordance with the syntactic rules’ system. The methodology of the research is defined by the general semiotics, distinguishing semantics, syntax, and pragmatics of a sign, by the aesthetic analysis’ methods, ranging according to the author’s message aesthetics, receptive aesthetics, and text aesthetics, as well as by the computational analysis methods connected with neural network means of defining the images’ symmetry. The article reveals preconditions for the emergence and also the current state of computational aesthetics as an interdisciplinary branch of knowledge. Analyzing the problem from the perspective of philosophy, aesthetics, semiotics, and technology, the authors draw attention to the need to improve the computational aesthetics methods. Firstly, the existing methods do not always enable to describe the fine-art object adequately. Secondly, there exists the so-called reduction of aesthetic assertion transforming it into the assertion concerning the object’s external characteristics. As a result, the authors assume that the increasing complexity of the current mathematical models and the experts’ subjective assessment support will allow to reach a compromise solution that enables the development of computational aesthetics as a branch of knowledge. Enhancement and development of the mathematical models, taking into account the rules of semiotics and subjectivism of the human perception, is the relevant objective of computational analysis of the aesthetic fine-arts text. The results of the present research supports the classic statement regarding the underivability of semantic and pragmatic propositions from syntax. The research concludes that relevant objectives are to find a correlation between, one the one hand, the axes and points of symmetry, deriving from the neural simulation, and, on the other hand, aesthetic effect, emerging from the perception of fine-art paintings.

About the Authors

Olga A. Zhuravleva
Samara National Research University
Russian Federation

Olga A. Zhuravleva – postgraduate student, Russian and Foreign Literature and Public Relations Department; Lecturer, Pre-University Training Center, Samara National Research University.

Samara



Natalie B. Savkhalova
“Center of Spiritual Culture” International Public Organization
Russian Federation

Natalie B. Savkhalova – Colorist, “Center of Spiritual Culture” International Public Organization.

Samara



Andrei V. Komarov
Samara National Research University
Russian Federation

Andrei V. Komarov – Lecturer, English Language Department, Samara National Research University.

Samara



Denis A. Zherdev
Samara National Research University; Image Processing Systems Institute, Russian Academy of Sciences
Russian Federation

Denis A. Zherdev – Ph.D. in Technology, Senior Lecturer, Supercomputers and General Informatics Department, Samara National Research University.

Samara

 



Anna I. Demina
Samara National Research University
Russian Federation

Anna I. Demina – Teaching Specialist, Philosophy Department, Samara National Research University.

Samara



Eckart Michaelsen
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation
Germany

Eckart Michaelsen – Dr. habil., Department of Object Recognition, Fraunhofer Institute of Optronics, System Technologies and Image Exploitation.

Ettlingen



Artem V. Nikonorov
Samara National Research University
Russian Federation

Artem V. Nikonorov – D.Sc. in Technology, Director of the Institute of Artificial Intelligence, Samara National Research University.

Samara

 



Alexander Yu. Nesterov
Samara National Research University
Russian Federation

Alexander Yu. Nesterov – D.Sc. in Philosophy, Associate Professor, Director of the Institute of Social Sciences and Humanities, Head of the Philosophy Department, Samara National Research University.

Samara



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Review

For citations:


Zhuravleva O.A., Savkhalova N.B., Komarov A.V., Zherdev D.A., Demina A.I., Michaelsen E., Nikonorov A.V., Nesterov A.Yu. Computational Analysis Problem of Aesthetic Content in Fine-Art Paintings. Russian Journal of Philosophical Sciences. 2022;65(2):120-140. (In Russ.) https://doi.org/10.30727/0235-1188-2022-65-2-120-140



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ISSN 0235-1188 (Print)
ISSN 2618-8961 (Online)