JSAI2020
Jun 9 - Jun 12, 2020Virtual Meetings
JSAI2020
Jun 9 - Jun 12, 2020Virtual Meetings
[1B5-GS-6-03]An approach to attribute extraction and analysis of well-known Japanese oil painters
〇Tetsuro Kamura1, Hideaki Takeda2(1. Art Media Center, Tokyo University of the Arts, 2. National Institute of Informatics)
Keywords:
artist evaluation,social network,art markets
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.