色彩に注目した和田邦坊の作品特徴抽出システムの開発

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2023/01/01

タイトル(英語): Development of Feature Extraction System for WADA Kunibo's works Focusing on Color

著者名: 戸川　真揮（香川大学），小澤　亮太（香川大学），桑村　風花（香川大学），髙垣　悠紀（香川大学），西谷　美紀（灸まん美術館），大場　晴夫（香川大学），喜田　弘司（香川大学）

著者名(英語): Maki Togawa (Kagawa University), Ryota Ozawa (Kagawa University), Fuka Kuwamura (Kagawa University), Yuki Takagaki (Kagawa University), Miki Nishitani (Kyuman Museum), Haruo Oba (Kagawa University), Koji Kida (Kagawa University)

キーワード: 画像処理，AI，色彩，デザイン，コンセプトブック_x000D_　　image processing，AI，color，design，concept book

要約(英語): This study proposes a system to extract the characteristics of the works of Kunibo Wada, an artist from Kagawa Prefecture, Japan, using image analysis technology. It is difficult for young designers to learn the style of Kunibo’s works of art simply by visiting art museums and viewing his works. Therefore, we have developed a system that helps young designers to understand the style of Kunibo’s works more easily than they have been able to do in the past. The system analyzes Kunibo’s style using artificial intelligence and helps young designers to understand his style by classifying works with similar styles. In particular, we developed an algorithm to extract features related to accent colors and "Kasumi" a technique for emphasizing objects. The results of evaluation experiments showed that both the precision rate and recall rate were sufficient for young designers to understand the style, which was the objective of the project. We expect that young designers will be inspired by the style of existing works of art to transmit culture from a new perspective, and to redesign and develop their works across fields.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.143 No.1 （2023） 特集：電子回路関連技術

本誌掲載ページ: 82-90 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/143/1/143_82/_article/-char/ja/