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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, 2000Accepted:November 15, 2000Published: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: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.Data files:
