Overview and Comparison of AVS Point Cloud Compression Standard
Wei Gao, Wenxu Gao, Xingming Mu, Changhao Peng, Ge Li

TL;DR
This paper reviews the AVS PCC point cloud compression standard, comparing its technologies and performance with other standards, highlighting its unique coding tools and techniques for efficient 3D data compression.
Contribution
It provides a comprehensive overview and comparison of the AVS PCC standard, emphasizing its novel coding tools and performance advantages in point cloud compression.
Findings
AVS PCC employs unique coding tools distinct from other standards.
Performance comparisons show AVS PCC achieves competitive compression efficiency.
The review highlights technological innovations in AVS PCC for practical applications.
Abstract
Point cloud is a prevalent 3D data representation format with significant application values in immersive media, autonomous driving, digital heritage protection, etc. However, the large data size of point clouds poses challenges to transmission and storage, which influences the wide deployments. Therefore, point cloud compression plays a crucial role in practical applications for both human and machine perception optimization. To this end, the Moving Picture Experts Group (MPEG) has established two standards for point cloud compression, including Geometry-based Point Cloud Compression (G-PCC) and Video-based Point Cloud Compression (V-PCC). In the meantime, the Audio Video coding Standard (AVS) Workgroup of China also have launched and completed the development for its first generation point cloud compression standard, namely AVS PCC. This new standardization effort has adopted many new…
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Taxonomy
Topics3D Shape Modeling and Analysis · Computer Graphics and Visualization Techniques · Advanced Vision and Imaging
