An implementation method of associative search for heterogeneous mediadata utilizing the mathematical model of meaning and its application to image data and facial expression

This paper presents an implementation method of associative search for heterogeneous mediadata. This method applies several recognition mechanisms of human "Kansei" for realizing associative search. The feature of this method is to bridge over heterogeneous mediadata which exist independently as different database resources. In this paper, we show an associative search method with media-to-media transformation from a picture to a facial expression. We clarify the effectiveness of our method by showing several experimental results.