Standardization Status of MPEG Geometry-based Point Cloud Compression (G-PCC) Edition 2

被引:0
|
作者
Zhang, Wei [1 ,2 ]
Yang, Fuzheng [1 ]
Xu, Yingzhan [3 ]
Preda, Marius [4 ]
机构
[1] Xidian Univ, Sch Telecommun Engn, Xian, Peoples R China
[2] Pengcheng Lab, Shenzhen, Peoples R China
[3] Bytedance Inc, Beijing, Peoples R China
[4] Inst Polytech Paris, Telecom SudParis, Paris, France
基金
中国国家自然科学基金;
关键词
point cloud; MPEG; G-PCC; geometry coding; attribute coding;
D O I
10.1109/PCS60826.2024.10566443
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Point clouds, crucial for representing 3D objects and scenes, offer immersive and precise depictions of the real world. Despite their superiority, the substantial data volume challenges current multimedia ecosystems. To address this, the Moving Picture Expert Group (MPEG) initiated the point cloud compression project in 2017, leading to two branches: Video-based Point Cloud Compression (V-PCC) and Geometry-based Point Cloud Compression (G-PCC). The first edition of G-PCC was published in March 2023, and ongoing efforts over the past three years have advanced towards G-PCC Edition 2. This paper aims to present recent technical achievements and the current status of G-PCC standardization activities.
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页数:5
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