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Computational Analysis of the Aesthetic Content Relating to the Fine-Art Image

Olga Zhuravleva, Natalia Savhalova,Andrei Komarov,Denis Zherdev,Anna Demina, Aleksandr Nesterov,Artem Nikonorov

2021 International Conference on Information Technology and Nanotechnology (ITNT)(2021)

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摘要
In this paper there has been presented the thesis concerning the improvement of the computational aesthetics methods necessary for carrying out the analysis of the fine-art paintings referring to the classical pictorial art. It has been indicated that the fine-art object does not necessarily involve clear description required for computational analysis. It has also been described how the image expresses aesthetics via the fine-art object’s external characteristics. This paper gives an overview of the algorithm performance results for the purpose of defining the type of painting’s composition. Within the frame of the paper there have been proposed solutions to the problem of computational analysis as exemplified by the extension of computable attributes referring to the composition of fine-art painting.
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关键词
Computational aesthetics,machine learning,rule of thirds
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