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

Paper:

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

Received:
October 19, 2000
Accepted:
November 15, 2000
Published:
November 20, 2000
Keywords:
Kansei information, Soft computing
Abstract

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:
Takehisa 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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Last updated on Feb. 25, 2021