Fuzzy similarity-based relative importance of MPEG-7 visual descriptors for emotional classification of images

Authors:
EunJong Park;SungHwan Jeong;JoonWhoan Lee
Affiliations:
Electronics and Telecommunications Research Institute, Daejeon, South Korea;Computer Engineering Department, Chonbuk National University, JeonJu, South Korea;Computer Engineering Department, Chonbuk National University, JeonJu, South Korea
Venue:
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Year:
2010

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Abstract

Many kinds of attributes are used for various areas of decision making. Sometimes the attributes have complicated vector-types as in MPEG-7 visual descriptors that prevent us from attaching unequal importance to each descriptor for the construction of content- or emotion-based image retrievals. In this paper, fuzzy similarity-based rough approximation is used for determining the relative importance of MPEG-7 visual descriptors for an emotion. In the methods, the relative importance is given to a descriptor itself rather than a component of the vector of a descriptor or a combined descriptor. Also we propose a method for building a classification system based on representative color images. The experimental result shows the proposed classification method is promising for the emotional classification or evaluation of color images.