Please wait a minute...
New Technology of Library and Information Service  2006, Vol. 1 Issue (5): 31-35    DOI: 10.11925/infotech.1003-3513.2006.05.08
Current Issue | Archive | Adv Search |
A Study on Kansei Engineering and Its Application in Image Retrieval
Huang Kun1    Lai Maosheng
1(School of Management, Beijing Normal University, Beijing 2100875,China)
2(Department of Information Management, Peking University, Beijing 100871, China)
Export: BibTeX | EndNote (RIS)      

Kansei Engineering is a quite new research field. The paper introduces the background of Kansei Engineering, its research content, common methodology and applications. Then with the respect to the issues of image retrieval, the paper discusses how Kansei Engineering could be applied in establishing image retrieval system based on Kansei features. Finally, it points out the major problems awaiting solution both Kansei Engineering and image retrieval system based on Kansei features.

Key wordsKansei Engineering      Image retrieval      Feeling semantic     
Received: 08 February 2006      Published: 25 May 2006



Corresponding Authors: Huang Kun     E-mail:
About author:: Huang Kun,Lai Maosheng

Cite this article:

Huang Kun,Lai Maosheng . A Study on Kansei Engineering and Its Application in Image Retrieval. New Technology of Library and Information Service, 2006, 1(5): 31-35.

URL:     OR

1A. W. M. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain. Content-based image retrieval at the end of the early years. IEEE Trans. Pattern Analysis and Machine Intelligence,2000,22(12):1349-1380
2Mitsuo Nagamachi. Kansei Engineering: A New Ergonomic Consumer-oriented Technology for Product Development. International Journal of Industrial Ergonomics,1995(15): 3-11
8苏建宁,江平宇,朱斌,李鹤歧.感性工学及其在产品设计中的应用研究.西安交通大学学报,2004,1 (1):60-63
9周君瑞, 陈鸿源, 刘家成. 电动刮胡刀产品造型与感性之关联性研究. 工业设计,2000,28(2):142-147
11陈虹, 倪伟. 立体形态设计. 上海: 上海人民美术出版社,200343
13C Colombo,A Del Bimbo,P Pala. Semantics in Visual Information Retrieval.IEEE Multimedia, 1999,6(3):38-53
14Kazuhiro Kuroda, & Masafumi Hagiwara.An image retrieval system by impression words and specific object names-IRIS.Neurocomputing, 2002(43):259-276
15Bianchi-Berthouze. Kansei-mining: Identifying Visual Impressions as Patterns in Images.  IEEE, Piscataway,  2001(4):2183-2188
17毛峡,丁玉宽,牟田一弥.图像的情感特征分析及其和谐感评价.电子学报,2001,12A(29): 1923-1927
18王上飞,陈恩红,王胜惠,王煦法.基于情感模型的感性图像检索.电路与系统学报,2003(6): 48-52
21Takashi Hayashi, Masafumi Hagiwara. An image retrieval system to estimate impression words from images using a neural network,1997-IEEE International Conference on Systems, Man, and Cybernetics- Computational Cybernetics and Simulation, IEEE, New York,  1997(1): 150-155
22Takashi Hayashi,Masafumi Hagiwara. Image Query By Impression Words-the IQI System. IEEE. 1998:347-352
24Tatsuya Shibata,Toshikazu Kato.“Kansei” image retrieval system for street landscape-discrimination and graphical parameters based on correlation of two images.IEEE.1999:247- 252
25Kaori Yoshida, Toshikazu Kato, Torao Yanaru.Image Retrieval System Using Impression Words. IEEE,1998:2780-2784
26Nadia Bianchi-Berthouze,& Toshikazu Kato. K-DIME:An Adaptive System To Retrieval Images From Web Using Subjective Criteria. International Workshop DNIS.2000:157-172
27Nadia Bianchi-Berthouze, Tomofumi Hayashi. Subjective Interpretation Of Complex Data: Requirements For Supporting Kansei Mining Process. MDM/KDD 2002: 93-99

[1] Wu Kun, Xie Xiaqing, Bai Quanwei, Wu Xu. Implementation and Application of Image Retrieval Technology in “Classic Reading” Teaching System[J]. 现代图书情报技术, 2014, 30(5): 90-95.
[2] Fang Naiwei, Lv Xueqiang, Zhang Dan. Mechanical Design Image Retrieval with Combined Geometrical Features[J]. 现代图书情报技术, 2013, 29(1): 43-49.
[3] Cheng Xiufeng, Zhu Song, Xia Lixin. Design and Application of Distributed Image Retrieval Based on Color Model to Histogram Conversion[J]. 现代图书情报技术, 2011, 27(5): 42-48.
[4] Cao Mei,Zhu Xuefang. Research Progress on User Image Descriptions[J]. 现代图书情报技术, 2009, 25(12): 31-36.
[5] Huang Kun. An Overview on Affective Information Processing[J]. 现代图书情报技术, 2007, 2(11): 67-71.
[6] Zhao Ying,Liu Jiajia . Remote Sensing Image Retrieval Based on Bayes Classification[J]. 现代图书情报技术, 2006, 1(5): 36-39.
[7] Yuan Fuyong,Wang Haixia,Yang Zhiqiu. Research for Texture Analysis in Content-Based Image Retrieval[J]. 现代图书情报技术, 2006, 22(1): 59-61.
[8] Zhou Ning,Yang Chuanzhi,Wu Jiaxin. A Method of Image Index and Retrieval Using XML[J]. 现代图书情报技术, 2005, 21(9): 32-35.
[9] Wu Jiaxin,Zhou Ning,Zhang Shaolong. The Database Approach for Image Indexing and Retrieval[J]. 现代图书情报技术, 2005, 21(7): 11-14.
[10] Huang Kun,Lai Maosheng. Research on the Techniques of Trademark Image Retrieval[J]. 现代图书情报技术, 2004, 20(4): 32-36.
[11] Meng Xiangzeng,Zhong Yixin. Images Retrieval Based on Semantic in WWW[J]. 现代图书情报技术, 2004, 20(3): 35-37.
[12] Xiong Huixiang. Development Direction of Content Based Image Retrieval[J]. 现代图书情报技术, 2004, 20(12): 32-35.
[13] Kong Tao,Lai Maosheng. Meaning Association-Based Chinese Image Search Engine[J]. 现代图书情报技术, 2002, 18(3): 63-65.
[14] Wang Xin. WWW-Based Image Retrieval Techniques[J]. 现代图书情报技术, 2002, 18(3): 70-73.
[15] Wen Yanping. Research on Content-based Image Retrieval System[J]. 现代图书情报技术, 2001, 17(1): 45-47.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938