AVS点云压缩标准的概述与比较
Overview and Comparison of AVS Point Cloud Compression Standard
AI总结：
本文概述并比较了AVS点云压缩标准，分析了其相关技术和性能表现。
摘要：
点云是一种广泛使用的3D数据表示格式，在沉浸媒体、自动驾驶、数字遗产保护等领域具有重要的应用价值。然而，点云的数据量大给传输和存储带来了挑战，影响了广泛应用。因此，点云压缩在实际应用中对于人和机器感知优化起着关键作用。为此，Moving Picture Experts Group（MPEG）已建立了两种点云压缩标准，包括基于几何的点云压缩（G-PCC）和基于视频的点云压缩（V-PCC）。同时，中国的音频视频编码标准（AVS）工作组也推出了其第一代点云压缩标准，即AVS PCC。这一标准化努力采用了许多新的编码工具和技术，这些技术与其他标准不同。本文从两个角度对AVS PCC标准进行了回顾，即相关技术和性能比较。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
