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2024/11/4 EJEA(Europe Japan Experts Association)AI邦坊PJ、世界発信のお知らせ


<世界発信のお知らせ>

2024年11月、AI邦坊プロジェクトに参加している香川大学創造工学部の喜田弘司先生が国際カンファレンスの基調講演に登壇するというご連絡がありました。スウェーデンで開催するEJEA(Europe Japan Experts Association)は、EUで歴史のある学術連携機関の学会となり、今回は邦坊フォントについて発表されるとのこと。HPもすべて英文になるので、全文の解読は少し難しいのですがご紹介します。美術館事業&和田邦坊の名前が世界発信されることはとても嬉しいです。喜田先生、ご案内ありがとうございます。歴代のメンバーの学生たちのことも思い出しました。みんな元気かな~。

EJEA(Europe Japan Experts Association)
Keynote lectures  Professor Koji Kida
https://liu.se/en/research/ejea-conference-2024/keynote-lectures

EJEA(Europe Japan Experts Association)

Keynote lectures  Professor Koji Kida
Kagawa University (Japan)
Title
Re-design in Homage to the Works of Kunibo Wada: The Challenge of AI and Student Designers
CV
Koji KIDA graduated from the Department of Information Engineering, Graduate School of Engineering, Okayama University, Japan, in 1993, and received a Doctor of Engineering degree from the Division of Reliability-based Information Systems Engineering, Graduate School of Engineering, Kagawa University, Japan, in 2007. In 1993, he joined NEC Central Research Laboratories, where he was engaged in research on groupware, search engines, and big data processing platforms. From 2014, he has been engaged in research and commercialization of malware detection at NEC Laboratories America. Since 2018, he has concurrently served in the Program in Computer Science, Systems, and Security Department of Engineering and Design at Kagawa University, Japan, and the University's Information Media Center. Currently, he is engaged in research on the application of artificial intelligence to security countermeasures. He received the Best Paper Award (dicomo2007 of IPSJ), the Best Patent Award (NEC 2015), and Innovation Grand Prix (CEATEC JAPAN 2017) etc. He is a member of Information Processing Society of Japan, Institute of Electronics, Information and Communication Engineers, and Institute of Electrical Engineers of Japan.

Abstract
Sometimes, an artist's work, though not well known to the public, becomes an integral part of a city's culture. Japanese artist Kunibo Wada from Kagawa is a prime example. While active as an artist and cartoonist, he also oversaw the branding of many stores in Kagawa and is widely recognized for his famous confectionery package designs. To preserve and develop his Kagawa-style designs, we are collaborating with AI and university students majoring in art and design to create new works inspired by Kunibo's legacy. In this presentation, I will introduce two research projects. First, I will discuss my research on creating a "Kunibo’s Kanji Font" using machine learning to analyze his handwritten characters. Unlike conventional machine learning, which focuses on transforming colors and patterns, this project aims to transform the shapes of Kanji characters. Second, we are developing generative AI to create a 3D virtual space based on Kunibo's landscape paintings. This research converts numerous photos of actual locations depicted in Kunibo's paintings into a virtual space that users can explore, rendered in his unique painting style. I will also present the results of my evaluation to the curator of the Kyuman Museum of Art, which owns a large number of Kunibo's works.

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https://jglobal.jst.go.jp/detail?JGLOBAL_ID=202002270925506416&rel=1#%7B%22category%22%3A%220%22%2C%22keyword%22%3A%22%E5%92%8C%E7%94%B0%E9%82%A6%E5%9D%8A%22%7D