Intelligent coding of facial expression using neural network and morphing

摘要

In face-to-face communication, facial expressions provide valuable information. Video telephones enable such communication between people at distant places. However, in order to obtain a highquality image, the transmission bit rate must be high. In this paper, we propose the basic principle for intelligent coding of facial expressions, and suggest the possibility of an extremely low-bit-rate communication system using the code. This system encodes only an image of speaker's face and greatly reduces the transmission bit rate (about 500 bits/sec.) using knowledge of the facial expressions of the speaker. Natural facial expression and their changes are observed through experiments.