文献
J-GLOBAL ID:201802243964816220
整理番号:18A1711854
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】
Assessment model for perceived visual complexity of painting images
著者 (5件):
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)
資料名:
Knowledge-Based Systems
(Knowledge-Based Systems)
巻:
159
ページ:
110-119
発行年:
2018年
JST資料番号:
T0426A
ISSN:
0950-7051
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)