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Abstract: Traditional approach to performing motion estimation on video is to find the frame-to-frame coherence in the image sequence. In a synthetic animation video sequence, we can take advantage of information used in rendering the animation to guide the motion estimation in order to achieve effective compression. In this proposal, we discuss potential solutions towards the problem as future research directions. (Update)
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BibTeX entry: (Update)
@misc{ yao-synthetic,
author = "Zhen Yao",
title = "Synthetic Animation Compression using Model-Based Approach",
url = "citeseer.ist.psu.edu/yao02synthetic.html" }
Citations (may not include all citations):39 Affine Analysis of Image Sequences (context) - Shapiro - 1995 ACM
17 Model-based analysis synthesis image coding (context) - Aizawa, Harashima et al. - 1989
15 Model-based image coding (context) - Welsh, Searby et al. - 1990 ACM
13 Model-based motion estimation for synthetic animations (context) - Agrawala, Beers et al. - 1995 ACM
9 Motion compensated compression of computer animation frames - Guenter, Yun et al. - 1993 ACM DBLP
5 Deep compression for streaming texture intensive animations (context) - Cohen-Or, Mann et al. - 1999 ACM DBLP
4 A differential compiler for computer animation (context) - Denber, Turner - 1986 ACM
2 Hardware-specific image compression techniques for the anima.. (context) - Jones - 1992
1 Model-based image coding (context) - Pearson - 1989 ACM
1 Tutorials on Multiresolution in Geometric Modelling (context) - Iske, Quak et al. - 2002 ACM
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