Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
34th (2020)
Session ID : 1B5-GS-6-03
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An approach to attribute extraction and analysis of well-known Japanese oil painters
*Tetsuro KAMURAHideaki TAKEDA
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

In this study, we extracted 262 artists who are considered well known based on the data for 4,730 Japanese oil painters collected from almanac art books. We digitized information on these artists such as pieces sold on the art market, information found on the Internet, and valuations, and we used these indicators to visualize the relationship of groups (Japanese oil painters) through a machine classification.

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© 2020 The Japanese Society for Artificial Intelligence
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