Art

J-GLOBAL ID：201802243964816220   Reference number：18A1711854

Assessment model for perceived visual complexity of painting images

絵画画像の視覚的複雑さを知覚するための評価モデル【JST・京大機械翻訳】

Author (5)： Guo Xiaoying (School of Software Engineering, Shanxi University, Taiyuan, China) ,  Guo Xiaoying (Institute of Big Data Science and Industry, Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, Shanxi University, Taiyuan, China) ,  Qian Yuhua (Institute of Big Data Science and Industry, Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, Shanxi University, Taiyuan, China) ,  Li Liang (College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan) ,  Asano Akira (Faculty of Informatics, Kansai University, Osaka, Japan)
Material： Knowledge-Based Systems  (Knowl Based Syst)
Volume： 159  Page： 110-119  Publication year： 2018 
JST Material Number： T0426A  ISSN： 0950-7051  Document type： Article
Article type： 原著論文  Country of issue： Netherlands (NLD)  Language： ENGLISH (EN)

Abstract/Point： In the construction of the kno...

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Thesaurus term： correlation coefficient ,  measure ,  quality ,  psychology ,  visual recognition ,  content(document resource) ,  *visual sense ,  regression model ,  knowledge acquisition ,  *image
Semi thesaurus term： ランダムフォレスト ,  複雑度 ,  複雑性 ,  視覚刺激 ,  *評価モデル , 【Automatic Indexing@JST】

Author keywords (4)： Visual perception ,  Visual complexity ,  Image emotion knowledge ,  Complexity and aesthetic

JST classification (2)： Artificial intelligence  (JE08000Z) ,  Graphic and image processing in general  (JE04010I)

Terms in the title (5)： 絵画 ,  視覚 ,  複雑さ ,  知覚 ,  評価モデル