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Conference Paper
Fuzzy Similarity-Based Relative Importance of MPEG-7 Visual Descriptors for Emotional Classification of Images
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- Authors
- Eun Jong Park, Sung Hwan Jeong, Joon Whoan Lee
- Issue Date
- 2010-06
- Citation
- International Conference on Rough Sets and Current Trends in Computing (RSCTC) 2010 (LNAI 6086), v.6086, pp.504-513
- Publisher
- Springer
- Language
- English
- Type
- Conference Paper
- 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. © 2010 Springer-Verlag Berlin Heidelberg.
- KSP Keywords
- Classification method, Classification of Images, Classification system, Color images, Emotional classification, Experimental Result, MPEG-7 Visual Descriptors, Relative importance, Rough approximation, Similarity-based, decision making