对比中国AVS PCC点云压缩标准与国际主流方案的差异与性能。
Overview and Comparison of AVS Point Cloud Compression Standard
- 从技术原理和编码工具角度解析AVS PCC新标准设计思路。
- 系统对比AVS PCC与G-PCC/V-PCC在压缩效率与复杂度上的表现。
- 适合关注国产3D视频标准进展或点云编码研究者参考。
点云是沉浸式媒体、自动驾驶、数字遗产保护等领域的重要3D数据表示形式，但其庞大的数据量对传输与存储带来挑战，制约了广泛应用。点云压缩在优化人机感知方面至关重要。为此，MPEG已制定基于几何的点云压缩（G-PCC）和基于视频的点云压缩（V-PCC）两项标准。与此同时，中国音视频编码标准工作组（AVS）也完成了第一代点云压缩标准——AVS PCC的制定。该标准采用了多项新技术与编码工具，与国际标准存在显著差异。本文从相关技术和性能对比两个角度，系统回顾了AVS PCC标准的构成与特点。
原文摘要 · Abstract (English)
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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