Abstract
Most of existing image coding techniques fall into the category of so-called waveform based methods with limited compression factors. In recent years, a new video compression approach using model-based coding techniques arises as more and more researchers seek for very low bit-rate video compression[1]–[4] The main idea of this approach is to use 3D models of moving objects and derive the motion parameters associated with the model structure, then the original video sequence could be approximately reconstructed using the 3D models and the motion parameters. At present, in most research activities on model-based coding systems, the dominant parts in the video scenes are human faces talking and showing expressions, for example, in videophone and teleconferencing. Therefore, three research topics — the face model, facial motion analysis and facial expression synthesis, are of paramount importance and many researchers in both computer vision and computer graphics have contributed to these themes significantly.
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REFERENCE
K. Aizawa and T. S. Huang, Model-based image coding: advanced video coding techniques for very low bit-rate applications, Proceedings of the IEEE, Vol. 83, No. 2, February 1995, pp. 259–271.
H. Li, P. Roivainen and R. Forchheimer, 3-D motion estimation in model-based facial image coding, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 15, No. 6, June 1993, pp. 545–555.
D. Terzopoulos and K. Waters, Analysis and synthesis of facial image sequences using physical and anatomical models, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 15, No. 6, June 1993, pp. 569–579.
W. J. Welsh, Model-based Coding of Images, Ph.D. dissertation, British Telecom Research Laboratories, January 1991.
F. I. Parke, Parameterized models for facial animation, IEEE Computer Graphics and Applications, Vol. 12, November 1982, pp. 61–68.
S. M. Piatt and N. I. Badler, Animating facial expressions, Computer Graphics, Vol. 15, No. 3, 1981, pp. 245–252.
K. Waters, A muscle model for animating three-dimensional facial expression, Computer Graphics, Vol. 21, No. 4, July 1987, pp. 17–24.
P. Ekman and W. V. Friesen, Facial Action Coding System, Consulting Psychologists Press, Inc., Palo Alto, California, 1978.
M. Rydfalk, CANDIDE: A Parameterized Face, Technical Report LiTH-ISY-I-0866, Department of Electrical Engineering, Linköping University, Sweden, October 1987.
T. Akimoto and Y. Suenaga, 3D facial model creation using generic model and front and side views of face, IEICE Transactions on Information & System, Vol. E75-D, No. 2, March 1992, pp. 191–197.
J. K. Aggarwal and N. Nandhakumar, On the computation of motion from sequences of images - a review, in Proceedings of the IEEE, August, 1988, pp. 917–935.
R. Koch, Dynamic 3-D scene analysis through synthesis feedback control, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 15, No. 6, June 1993, pp. 556–568.
K. Mase, Recognition of facial expression from optical flow, IEICE Transactions, Vol. E74, No. 10, October 1991, pp. 3474–3482.
M. Kass, A. Witkin and D. Terzopoulos, Snakes: active contour models, in Proceedings of International Conference on Computer Vision, 1987, pp. 259–269.
H. Agawa, G. Xu, etc. Image analysis for face modelling and facial image reconstruction, SPIE: Visual Communications and image Processing, Vol. 1360, 1990, pp. 1184–1197.
F. I. Parke, Techniques for Facial Animation, in New Trends in Animation and Visualization, Eds. N. M. Thalmann and D. Thalmann, John Wiley & Sons Inc., 1991, pp. 229–241.
K. Aizawa and H. Harashima, Model-based analysis synthesis image coding system for a person’s face, Signal Processing: Image Communication, Vol. 1, No. 2, 1989, pp. 139–152.
L. Tang, L. S. Chen, Y. Kong, T. S. Huang and C. R. Lansing, Performance evaluation of a facial feature tracking algorithm, in Proceedings of NSF/ARPA Workshop: Performance vs. Methodology in Computer Vision, Seattle, Washington, June 1994, pp. 218–226.
L. Tang and T. S. Huang, Analysis-based facial expression synthesis, in Proceedings of IEEE International Conference on Image Processing, Vol. III, Austin, Texas, November 1994, pp. 98–102.
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© 1996 Plenum Press, New York
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Huang, T.S., Tang, La. (1996). Model-Based Video Coding — Some Challenging Issues. In: Wang, Y., Panwar, S., Kim, SP., Bertoni, H.L. (eds) Multimedia Communications and Video Coding. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0403-6_27
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DOI: https://doi.org/10.1007/978-1-4613-0403-6_27
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