Art

J-GLOBAL ID：201802236689822449   Reference number：18A0112212

Kansei Retrieval of Clothing using Features Extracted by Deep Neural Network

深層ニューラルネットワークによる特徴抽出を用いた衣服の感性検索

Author (3)： OTA SHIGERU (関西大学大学院) ,  TAKENOUCHI HIROSHI (福岡工業大学) ,  TOKUMARU MASATAKA (関西大学)
Material： 日本感性工学会論文誌(Web)
Volume： 16  Issue： 3  Page： 277-283(J-STAGE)  Publication year： 2017 
JST Material Number： U0400A  ISSN： 1884-5258  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： feature extraction ,  *neural network (biomodel) ,  *sensibility ,  garment ,  information retrieval system ,  Machine Learning ,  deep learning ,  *deep neural network
Semi thesaurus term： *deep neural network ,  *kansei retrieval

Author keywords (3)： Kansei retrieval ,  Feature extraction ,  Neural networks

JST classification (1)： Artificial intelligence  (JE08000Z)

Reference (16)：

• [1] M. Nagamachi: Kansei Engineering as a powerful consumer-oriented technology for product development, Applied Ergonomics, 33(3), pp.289-294, 2002.
• [2] H. Takagi: Interactive evolutionary computation: Fusion of the capabilities of EC optimization and human evaluation, Proceedings of the IEEE, 89(9), pp.1275-1296, 2001.
• [3] H. Otsubo, K. Kamei: Construction of Image Retrieval System by Kansei Information Queries, Transactions of the Institute of Systems, Control and Information Engineers, 10(9), pp.455-462, 1997.
• [4] H.-S. Kim, S.-B. Cho: Application of interactive genetic algorithm to fashion design, Engineering Applications of Artificial Intelligence, 13(6), pp.635-644, 2000.
• [5] M. Fukuda, Y. Nakatani: Clothes Recommend Themselves: A new Approach to a Fashion Coordinate Support System, Proceedings of the World Congress on Engineering and Composer Science 2011, 1, 2011.

Terms in the title (4)： 深層ニューラルネットワーク ,  特徴抽出 ,  衣服 ,  感性検索