Learning Similarity for Discovering Inspirations of Western Arts in Japanese Culture

Vinayavekhin, Phongtharin; Suppakitpaisarn, Vorapong; Codognet, Philippe; Terada, Torahiko; Miura, Akira

doi:10.1007/978-3-031-37731-0_7

Lecture Notes in Computer Science

2023

DOI: 10.1007/978-3-031-37731-0_7

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Learning Similarity for Discovering Inspirations of Western Arts in Japanese Culture

Phongtharin Vinayavekhin¹,

Vorapong Suppakitpaisarn

Philippe Codognet

et al.

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2024

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Cited by 1 publication

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Identifying Relationships and Classifying Western-style Paintings: Machine Learning Approaches for Artworks by Western Artists and Meiji-era Japanese Artists

Vinayavekhin,

Khomkham,

Suppakitpaisarn

et al. 2024

J. Comput. Cult. Herit.

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Many Western-style paintings by Japanese artists in the early 1900s, though maintaining a unique quality, were greatly inspired by the works of Western artists. In this paper, we employ machine learning to identify relationships and classify the works of Japanese and Western artists. The relationships are of significant interest to numerous art historians, as they can reveal how Western art was introduced to Japan. Historically, art historians have manually annotated these correspondences, which is a time-consuming and labor-intensive process. In this paper, we introduce a new method for finding correspondences between related artworks by comparing their overall outline information. This technique is based on Siamese neural networks (SNNs) and a self-supervised learning approach. Additionally, we have compiled a dataset of illustrations from Japanese artists such as Seiki Kuroda and Western artists such as Raphaël Collin, complete with correspondence annotations. On the other hand, to exhibit the unique quality of works by Japanese artists, we demonstrate that machine learning can classify between artworks created by Japanese artists and those created by Western artists.

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Identifying Relationships and Classifying Western-style Paintings: Machine Learning Approaches for Artworks by Western Artists and Meiji-era Japanese Artists

Vinayavekhin,

Khomkham,

Suppakitpaisarn

et al. 2024

J. Comput. Cult. Herit.

View full text Add to dashboard Cite

show abstract

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Learning Similarity for Discovering Inspirations of Western Arts in Japanese Culture

Cited by 1 publication

References 14 publications

Identifying Relationships and Classifying Western-style Paintings: Machine Learning Approaches for Artworks by Western Artists and Meiji-era Japanese Artists

Identifying Relationships and Classifying Western-style Paintings: Machine Learning Approaches for Artworks by Western Artists and Meiji-era Japanese Artists

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