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Proceedings Paper

Estimation of feature parameters in model-based image coding system for video conference
Author(s): Lu Yu; Yunhai Liu; Qingdong Yao
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Paper 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.

Paper Details

Date Published: 28 December 1998
PDF: 8 pages
Proc. SPIE 3653, Visual Communications and Image Processing '99, (28 December 1998); doi: 10.1117/12.334695
Show Author Affiliations
Lu Yu, Zhejiang Univ. (China)
Yunhai Liu, Zhejiang Univ. (China)
Qingdong Yao, Zhejiang Univ. (China)

Published in SPIE Proceedings Vol. 3653:
Visual Communications and Image Processing '99
Kiyoharu Aizawa; Robert L. Stevenson; Ya-Qin Zhang, Editor(s)

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