Abstract
We propose an algorithm that represents three-dimensional dynamic objects with a semi-regular mesh sequence and compresses the sequence using the spatiotemporal wavelet transform. Given an irregular mesh sequence, we construct a semi-regular mesh structure for the first frame and then map it to subsequent frames based on the hierarchical motion estimation. The regular structure of the resulting mesh sequence facilitates the application of advanced coding schemes and other signal processing techniques. To encode the mesh sequence compactly, we develop an embedded coding scheme, which supports signal-to-noise ratio and temporal scalability modes. Simulation results demonstrate that the proposed algorithm provides significantly better compression performance than the static mesh coder, which encodes each frame independently.
| Original language | English |
|---|---|
| Pages (from-to) | 2531-2544 |
| Number of pages | 14 |
| Journal | IEEE Transactions on Image Processing |
| Volume | 15 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - 2006 Sep 1 |
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Keywords
- 3-D motion estimation
- Progressive compression
- Semi-regular mesh sequence
- Three-dimensional (3-D) mesh compression
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Graphics and Computer-Aided Design
- Software
- Theoretical Computer Science
- Computational Theory and Mathematics
- Computer Vision and Pattern Recognition
Cite this
Semi-regular representation and progressive compression of 3-D dynamic mesh sequences. / Yang, Jeong Hyu; Kim, Chang-Su; Lee, Sang Uk.
In: IEEE Transactions on Image Processing, Vol. 15, No. 9, 01.09.2006, p. 2531-2544.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Semi-regular representation and progressive compression of 3-D dynamic mesh sequences
AU - Yang, Jeong Hyu
AU - Kim, Chang-Su
AU - Lee, Sang Uk
PY - 2006/9/1
Y1 - 2006/9/1
N2 - We propose an algorithm that represents three-dimensional dynamic objects with a semi-regular mesh sequence and compresses the sequence using the spatiotemporal wavelet transform. Given an irregular mesh sequence, we construct a semi-regular mesh structure for the first frame and then map it to subsequent frames based on the hierarchical motion estimation. The regular structure of the resulting mesh sequence facilitates the application of advanced coding schemes and other signal processing techniques. To encode the mesh sequence compactly, we develop an embedded coding scheme, which supports signal-to-noise ratio and temporal scalability modes. Simulation results demonstrate that the proposed algorithm provides significantly better compression performance than the static mesh coder, which encodes each frame independently.
AB - We propose an algorithm that represents three-dimensional dynamic objects with a semi-regular mesh sequence and compresses the sequence using the spatiotemporal wavelet transform. Given an irregular mesh sequence, we construct a semi-regular mesh structure for the first frame and then map it to subsequent frames based on the hierarchical motion estimation. The regular structure of the resulting mesh sequence facilitates the application of advanced coding schemes and other signal processing techniques. To encode the mesh sequence compactly, we develop an embedded coding scheme, which supports signal-to-noise ratio and temporal scalability modes. Simulation results demonstrate that the proposed algorithm provides significantly better compression performance than the static mesh coder, which encodes each frame independently.
KW - 3-D motion estimation
KW - Progressive compression
KW - Semi-regular mesh sequence
KW - Three-dimensional (3-D) mesh compression
UR - http://www.scopus.com/inward/record.url?scp=33747631040&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33747631040&partnerID=8YFLogxK
U2 - 10.1109/TIP.2006.877413
DO - 10.1109/TIP.2006.877413
M3 - Article
C2 - 16948300
AN - SCOPUS:33747631040
VL - 15
SP - 2531
EP - 2544
JO - IEEE Transactions on Image Processing
JF - IEEE Transactions on Image Processing
SN - 1057-7149
IS - 9
ER -