Overview and Comparison of AVS Point Cloud Compression Standard

• Published in: APSIPA transactions on signal and information processing Vol. 14; no. 2
• Main Authors: Gao, Wei, Gao, Wenxu, Mu, Xingming, Peng, Changhao, Li, Ge
• Format: Journal Article
• Language: English
• Published: Boston — Delft Now Publishers 01.01.2025; Now Publishers Inc
• Subjects: Augmented reality; Coding; Coding standards; Coding theory and practice; Communications and Information Theory; Computer Science; Data compression; Engineering; Human-Computer Interaction; Image and video processing; Performance assessment; Rate-distortion theory; Signal Processing; Signal processing for communications; Source coding; Speech/audio/image/video compression; Technology; Three dimensional models; Video compression; Virtual reality; Web Science
• ISSN: 2048-7703; 2048-7703
• DOI: 10.1561/116.20240066

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.