Page content last modified on 2024-12-10.
uvgVPCCenc
uvgVPCCenc is an academic, open-source volumetric video encoder for the state-of-the-art Video-based Point Cloud Compression (V-PCC) standard. It serves as a research platform for new coding tool development and a practical V-PCC encoder for public use.
uvgVPCCenc is being developed in C++ under the permissive BSD-3-Clause license. It accepts point cloud frames as input (with geometry being positive integers), supports all voxel sizes, and runs on Linux. uvgVPCCenc 1.0 implements a functional encoding pipeline using only essential coding tools and algorithms inspired by the TMC2 reference software. It prioritizes practical encoding by omitting tools, like geometry reconstruction and lossless tools.
Please cite the following paper for any usage of uvgVPCCenc:
L. Fréneau, G. Gautier, A. Mercat, and J. Vanne, “uvgVPCCenc: Practical open-source encoder for fast V-PCC compression,” in Proc. ACM Multimedia Syst. Conf., Stellenbosch, South Africa, Mar.—Apr. 2025. (Best open dataset and software paper award) [Tuni.fi] [PDF]
Publications
uvgVPCCenc:
L. Fréneau, G. Gautier, A. Mercat, and J. Vanne, “uvgVPCCenc: Practical open-source encoder for fast V-PCC compression,” in Proc. ACM Multimedia Syst. Conf., Stellenbosch, South Africa, Mar.—Apr. 2025. (Best open dataset and software paper award) [Tuni.fi] [PDF]
L. Fréneau, G. Gautier, H. Tampio, A. Mercat, and J. Vanne, “Real-time video-based point cloud compression,” in Proc. IEEE Visual Comm. Image Proc., Tokyo, Japan, Dec. 2024. [Tuni.fi] [PDF]
Others point cloud publications:
L. Fréneau, A. Mercat, G. Gautier, J. Sainio, and J. Vanne, “Tool space exploration of the V-PCC patch generation for practical point cloud encoding,” in Proc. Picture Coding Symp., Taichung, Taiwan, Jun. 2024. [Tuni.fi] [PDF]
H. Tampio, J. Räsänen, M. Viitanen, A. Mercat, G. Gautier, and J. Vanne, “uvgRTP 3.0: towards V3C volumetric video communication,” in Proc. ACM Multimedia Syst. Conf., Bari, Italy, Apr. 2024. [Tuni.fi] [PDF]
G. Gautier, A. Mercat, L. Fréneau, M. Pitkänen, and J. Vanne, “UVG-VPC: voxelized point cloud dataset for visual volumetric video-based coding,” in Proc. Int. Conf. Qual. Multimedia Exper., Ghent, Belgium, Jun. 2023. [Tuni.fi] [PDF]