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arXiv:2611.02649 · v1

Computer Vision Applications for Art History: Reflections and paradigms for future research

首次提交 2026-11-02 15:10
版本更新 2026-11-02 15:10
雷达观测 2026-11-04 23:42
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摘要

One of the contributing factors to the continuing debate among art historians over the use of computational methods in art history research is that they do not consider the core of today's art history research questions. The lack of close collaboration between the two involved research communities makes the definition of contemporary art-historical methods as well-defined computer vision problems extremely difficult. For that purpose, it is devised as a methodology to study articles in art history journals from a computer science perspective. The objective is to identify which image features art historians utilise within their research and describe them in immediate and meaningful terms to the computer vision research community. Finally, some paradigms that could serve as a new starting point for exploring how computer vision applications for art history can address the core of today's art history research are given.

作者备注:8 pages. Published in the Proceedings of EVA London 2021 (Electronic Visualisation and the Arts), BCS Electronic Workshops in Computing (eWiC), under CC BY 4.0

期刊信息:Proceedings of EVA London 2021 (Electronic Visualisation and the Arts), BCS Learning & Development, Electronic Workshops in Computing (eWiC), 2021

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v1 · 2026-11-02 15:10 · 最新观测版本

Computer Vision Applications for Art History: Reflections and paradigms for future research

One of the contributing factors to the continuing debate among art historians over the use of computational methods in art history research is that they do not consider the core of today's art history research questions. The lack of close collaboration between the two involved research communities makes the definition of contemporary art-historical methods as well-defined computer vision problems extremely difficult. For that purpose, it is devised as a methodology to study articles in art history journals from a computer science perspective. The objective is to identify which image features art historians utilise within their research and describe them in immediate and meaningful terms to the computer vision research community. Finally, some paradigms that could serve as a new starting point for exploring how computer vision applications for art history can address the core of today's art history research are given.

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