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SUMMARYMain bottleneck of photomosaic algorithm is a search for a best matched image. Unlike several techniques which use fast approximation search for increasing the speed, we propose a parallel framework for fast photomosaic using a programmable GPU. This paper suggests a design of vertex structure for a best match searching on each cell of photomosaic grid and shows a texture representation of image database. The shader programs which are used for searching a best match and rendering image tiles into a display are presented. In addition, a simple duplicate reduction and color correction methods are proposed. Our algorithm not only offers dramatic enhancement of speed, but also always guarantees the 'exact' result.

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Emotion recognition is one of the most important factors in emotional ICT. In this paper, we suggest the system of emotion affective color transfer. To recognize human emotion, we use feature based facial expression recognition. Suggested system can be affected Image contents according to individual emotion. To emotionally transfer image contents, we analyze color, shape and stroke information. Emotion affective system can be used various multimedia contents such as music, movie and game.