Estimation of feature parameters in model-based image coding system for video conference

Lu Yu; Yunhai Liu; Qingdong Yao

doi:10.1117/12.334695

28 December 1998 Estimation of feature parameters in model-based image coding system for video conference

Lu Yu, Yunhai Liu, Qingdong Yao

Proceedings Volume 3653, Visual Communications and Image Processing '99; (1998) https://doi.org/10.1117/12.334695
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

Model-based image coding is a well-known solution for image communication at very low bit-rate. But very complex techniques and large amount of computation are involved in these systems. It is especially difficult to automatically extract Facial Definition Parameters (FDPs) and Facial Animation Parameters (FAPs), which are defined in MPEG-4, from 2D image to represent 3D moving objects. In this paper, an algorithm using intra- and inter-frame information to estimate features parameters is proposed. It utilizes spatial information (edge information) as well as temporal difference between successive frames. The combination using of 2 kinds of information makes the system more robust. Physiological symmetry and proportion is another kind of knowledge used here to make the system to less computational intenseness.

Citation Download Citation

Lu Yu, Yunhai Liu, and Qingdong Yao "Estimation of feature parameters in model-based image coding system for video conference", Proc. SPIE 3653, Visual Communications and Image Processing '99, (28 December 1998); https://doi.org/10.1117/12.334695

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