Fuzzy Similarity-Based Relative Importance of MPEG-7 Visual Descriptors for Emotional Classification of Images

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.