Paper Info
Title
An adaptive quantization scheme for efficient texture coordinate compression in MPEG 3DMC
Abstract
Graphic models represented by 3D polygonal mesh (with geometry, color, normal vector, and texture coordinate information) are now heavily used in interactive multimedia applications. As an international standard, MPEG-4 3D mesh coding (3DMC) is a compression tool for 3D mesh models. Texture mapping on a 3D mesh model is now getting popular, since it can produce high quality reconstruction even with small number of polygons used. Texture coordinates (TCs) play an important role in texture mapping. In compressing TCs using 3DMC, we found that the lossless compression is not guaranteed, which jeopardizes the texture mapping due to the precision error between the original and reconstructed TC values. In this paper, we proposed an adaptive quantization scheme for efficient TC compression in 3DMC. By adaptively choosing the step size for quantization, the proposed method can guarantee the lossless compression.
Year
DOI
Venue
2005
10.1007/11581772_7
PCM (1)
Keywords
Field
DocType
polygonal mesh,lossless compression,mesh coding,compressing TCs,mesh model,compression tool,efficient texture,texture mapping,efficient TC compression,proposed method,adaptive quantization scheme
Texture mapping,Computer vision,Data compression ratio,Texture compression,Computer science,Adaptive Scalable Texture Compression,Artificial intelligence,Data compression,Quantization (signal processing),Texture filtering,Lossless compression
Conference
Volume
ISSN
ISBN
3767
0302-9743
3-540-30027-9
Citations 
PageRank 
References 
0
0.34
3
Authors
7
Name
Order
Citations
PageRank
Sunyoung Lee1154.20
Byeongwook Min200.34
Daiyong Kim300.34
Eun-young Chang4181.86
Namho Hur522051.02
Soo In Lee67617.64
Euee S. Jang74015.77