In our previous work, to extract the
KANSEI information received from a landscape image, we investigated the evaluation experiment by the Semantic Differential method. By analysing the obtained data using the factor analysis, we found out 4 factors associated with
KANSEI information. In this paper, we consider the
KANSEI modeling which is connecting with a landscape image and the
KANSEI factors. By using
MPEG
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descriptors such as Scalable Color Descriptor and Edge Histgram Descriptor, the Saliency Map information of Visual Attention, and the
KANSEI factors of monochromatic color, we can estimate the
KANSEI information using the potential interpolation method. In addition, as an example of image database system applying this
KANSEI modeling method, we consider the image retrieval system which used the
KANSEI information as the reference key.
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