Quality Assessment for Free-Viewpoint Video Compression

12th November 2018
Quality Assessment for Free-Viewpoint Video Compression

In this page, we share the Volumetric Video Quality Database hoping that this database will be useful for other researchers working on quality assessment for volumetric videos. This page contains materials and related papers for the free-viewpoint video (FVV) quality assessment.


Volumetric video is becoming easier to capture and display with the recent technical developments in the acquisition, and display technologies. Using point clouds is a popular way to represent volumetric video for augmented or virtual reality applications. This representation, however, requires a large number of points to achieve a high quality of experience and needs compression before storage and transmission. In this paper, we study the subjective and objective quality assessment results for volumetric video compression, using a state-of-the-art compression algorithm: MPEG Point Cloud Compression Test Model Category 2 (TMC2). We conduct subjective experiments to find the perceptual impacts on compressed volumetric video with different quantization parameters and point counts. Additionally, we find the relationship between the state-of-the-art objective quality metrics and the acquired subjective quality assessment results. To the best of our knowledge, this study is the first to consider TMC2 compression for volumetric video represented as coloured point clouds and study its effects on the perceived quality. The results show that the effect of input point counts for TMC2 compression is not meaningful, and some geometry distortion metrics disagree with the perceived quality. The developed database is publicly available to promote the study of volumetric video compression.


The Volumetric Video Quality Database can be downloaded here.

Please kindly cite our paper in your publication if you use this database:

  • E. Zerman, P. Gao, C. Ozcinar, A. Smolic. “Subjective and objective quality assessment for volumetric video compression.” IS&T Electronic Imaging, Image Quality and System Performance XVI, San Francisco, California, USA, January 2019.
  title     = {Subjective and Objective Quality Assessment for Volumetric Video Compression},
  author    = {Zerman, Emin and Gao, Pan and Ozcinar, Cagri and Smolic, Aljosa},
  year      = {2019},
  booktitle = {{IS\&T} Electronic Imaging, Image Quality and System Performance {XVI}}


This publication has emanated from research conducted with the financial support of Science Foundation Ireland (SFI) under the Grant Number 15/RP/2776.


If you have any question, send an e-mail to zermane@scss.tcd.ie or ozcinarc@scss.tcd.ie or gaopa@scss.tcd.ie.


Zerman, Emin; Valenzise, Giuseppe; Smolic, Aljosa

Analysing the Impact of Cross-Content Pairs on Pairwise Comparison Scaling Inproceedings Forthcoming

11th International Conference on Quality of Multimedia Experience (QoMEX 2019), IEEE Forthcoming.

Abstract | Links | BibTeX

Zerman, Emin; Gao, Pan; Ozcinar, Cagri; Smolic, Aljosa

Subjective and Objective Quality Assessment for Volumetric Video Compression Inproceedings

IS&T Electronic Imaging, Image Quality and System Performance XVI, 2019.

Abstract | Links | BibTeX