Kansei Information Processing in Multimedia Applying Intelligent Soft Computing Techniques | Zendy

Takehisa Onisawa | Zendy

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Kansei Information Processing in Multimedia Applying Intelligent Soft Computing Techniques

Author(s) -

Takehisa Onisawa

Publication year - 2000

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2000.p0428

Subject(s) - kansei , computer science , soft computing , vagueness , fuzzy logic , ambiguity , fuzzy set , information processing , artificial intelligence , artificial neural network , set (abstract data type) , human–computer interaction , multimedia , machine learning , neuroscience , biology , programming language

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.

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