JACIII Vol.4 No.6 pp. 428-436
doi: 10.20965/jaciii.2000.p0428


Kansei Information Processing in Multimedia Applying Intelligent Soft Computing Techniques

Takehisa Onisawa

Institute of Engineering Mechanics and Systems, University of Tsukuba, 1-1-1, Tennodai, Tsukuba, 305-8573 Japan

October 19, 2000
November 15, 2000
November 20, 2000
Kansei information, Soft computing
This paper mentions the concept of Kansei information that must be dealt with in multimedia. Kansei information has subjectivity, ambiguity, vagueness and situation dependence. This piece of information is not dealt with by the conventional natural science techniques. This paper also introduces soft computing techniques such as a neural network model, fuzzy set theory, a fuzzy measures and fuzzy integrals model, and the interactive genetic algorithm approach that are applied to Kansei information processing or some related problems.
Cite this article as:
T. Onisawa, “Kansei Information Processing in Multimedia Applying Intelligent Soft Computing Techniques,” J. Adv. Comput. Intell. Intell. Inform., Vol.4 No.6, pp. 428-436, 2000.
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