УДК 75: 004.032.26
REVIEW OF THE ARTICLE BY SANG-GEOL LEE & EUI-YOUNG CHA «STYLE CLASSIFICATION AND VISUALIZATION OF ART PAINTING’S GENRE USING SELF-ORGANIZING MAPS»
Nikita M. Leychenko1
1Siberian Federal University, Krasnoyarsk, Russia
nickoffspring@yandex.ru, orcid.org/0000-0001-7682-9067
Abstract. This article presents a peer-review of the article by Sang-Geol Lee & Eui-Young Cha “Style classification and visualization of art painting’s genre using self-organizing maps”. The review describes the method of analyzing paintings proposed by the authors in the study: the main initial parameters were color and compositional features, then the data were analyzed using machine learning and clustering method; the results were entered in a table. In conclusion, the scientific novelty of the work and the circle of persons who will be interested in this article are evaluated. The advantages and disadvantages of the scientific research and the article are objectively evaluated.
Keywords: art painting style, image feature, self-organizing map, classification
For citation: Лейченко Н. М. Рецензия на статью Санг-Геол Ли и Юи-Ён Ча «Классификация направлений изобразительного искусства посредством использования самоорганизующихся карт Кохонена» // Цифровизация. 2021. № 4. С. 8–13. DOI: 10.37993/2712-8733-2021-2-4-8-13.
References
1. Sang-Geol Lee, Eui-Young Cha. Style classification and visualization of arts painting’s genre using self-organizing maps // Human-centric Computing and Information Sciences. 2016, 6 (63), pp 1-11. EDN: IVOHSP