Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.05888 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866910906415316992 |
|---|---|
| author | Gautier, Guillaume Mercat, Alexandre Fréneau, Louis Pitkänen, Mikko Vanne, Jarno |
| author_facet | Gautier, Guillaume Mercat, Alexandre Fréneau, Louis Pitkänen, Mikko Vanne, Jarno |
| contents | Point cloud compression has become a crucial factor in immersive visual media processing and streaming. This paper presents a new open dataset called UVG-VPC for the development, evaluation, and validation of MPEG Visual Volumetric Video-based Coding (V3C) technology. The dataset is distributed under its own non-commercial license. It consists of 12 point cloud test video sequences of diverse characteristics with respect to the motion, RGB texture, 3D geometry, and surface occlusion of the points. Each sequence is 10 seconds long and comprises 250 frames captured at 25 frames per second. The sequences are voxelized with a geometry precision of 9 to 12 bits, and the voxel color attributes are represented as 8-bit RGB values. The dataset also includes associated normals that make it more suitable for evaluating point cloud compression solutions. The main objective of releasing the UVG-VPC dataset is to foster the development of V3C technologies and thereby shape the future in this field. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_05888 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | UVG-VPC: Voxelized Point Cloud Dataset for Visual Volumetric Video-based Coding Gautier, Guillaume Mercat, Alexandre Fréneau, Louis Pitkänen, Mikko Vanne, Jarno Multimedia Computer Vision and Pattern Recognition Point cloud compression has become a crucial factor in immersive visual media processing and streaming. This paper presents a new open dataset called UVG-VPC for the development, evaluation, and validation of MPEG Visual Volumetric Video-based Coding (V3C) technology. The dataset is distributed under its own non-commercial license. It consists of 12 point cloud test video sequences of diverse characteristics with respect to the motion, RGB texture, 3D geometry, and surface occlusion of the points. Each sequence is 10 seconds long and comprises 250 frames captured at 25 frames per second. The sequences are voxelized with a geometry precision of 9 to 12 bits, and the voxel color attributes are represented as 8-bit RGB values. The dataset also includes associated normals that make it more suitable for evaluating point cloud compression solutions. The main objective of releasing the UVG-VPC dataset is to foster the development of V3C technologies and thereby shape the future in this field. |
| title | UVG-VPC: Voxelized Point Cloud Dataset for Visual Volumetric Video-based Coding |
| topic | Multimedia Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2504.05888 |