Overview and Comparison of AVS Point Cloud Compression Standard

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 coding tools and techniques, which are different from the other counterpart standards. This paper reviews the AVS PCC standard from two perspectives, i.e., the related technologies and performance comparisons.

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Publication Details

Journal
APSIPA Transactions on Signal and Information Processing
Published
2025-03-05
DOI
https://doi.org/10.1561/116.20240066
Citations
12
Primary Topic
Advanced Optical Sensing Technologies
Type
article
Field-Weighted Citation Impact
14.30

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article

Overview and Comparison of AVS Point Cloud Compression Standard

Wei Gao, Xingming Mu, Changhao Peng, Wei Gao et al.
12 citations
APSIPA Transactions on Signal and Information Processing
Advanced Optical Sensing Technologies
14.30
article

Overview and Comparison of AVS Point Cloud Compression Standard

Wei Gao, Xingming Mu, Changhao Peng, Wei Gao, Ge Li
article en
12 citations

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 coding tools and techniques, which are different from the other counterpart standards. This paper reviews the AVS PCC standard from two perspectives, i.e., the related technologies and performance comparisons.

APSIPA Transactions on Signal and Information ProcessingVol. 14(2)
Peking University Shenzhen Hospital (CN), Peng Cheng Laboratory (CN)
National Natural Science Foundation of China, Shenzhen Fundamental Research Program, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 1%
Advanced Optical Sensing Technologies
14.30
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Overview and Comparison of AVS Point Cloud Compression Standard — Wei Gao, Xingming Mu, et al. · APSIPA Transactions on Signal and Information Processing (2025) | TGRS Research Map | TGRS