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Model-based image sequence coding using interframe AU correlation for very low bit rate transmission

The model-based image coding open up a wide aspect of applications in very/ultra low bit rate transmissions such as video telephone/teleconference and multimedia communication etc. This paper proposed a new scheme of model-based image sequence coding based on interframe AUs correlation which would be suitable for very/ultra low bit rates transmission. A new criteria based on Cauchy-Schwaz-Inequality for facial expressions, a fast automatic face feature point extraction method for real time applications and the method of AUs separation of a face on various expressions had been given. In this paper, the deformable model controlled by motion compensation, expressive facial images synthesized by given AUs and knowledge base were realized. The results of computer simulation are given.