UVG-VPC: Voxelized Point Cloud Dataset for Visual Volumetric Video-based Coding

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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.

Original languageEnglish
Title of host publication2023 15th International Conference on Quality of Multimedia Experience, QoMEX 2023
Number of pages4
ISBN (Electronic)979-8-3503-1173-0
Publication statusPublished - 2023
Publication typeA4 Article in conference proceedings
EventInternational Conference on Quality of Multimedia Experience - Ghent, Belgium
Duration: 20 Jun 202322 Jun 2023

Publication series

NameInternational Conference on Quality of Multimedia Experience
ISSN (Electronic)2472-7814


ConferenceInternational Conference on Quality of Multimedia Experience


  • Extended Reality (XR)
  • Open dataset
  • point cloud
  • Video-based Point Cloud Compression (V-PCC)
  • Visual Volumetric Video-based Coding (V3C)

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Media Technology


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