A Study of Subjective Video Quality at Various Spatial Resolutions

Alex Mackin, Mariana Fernandez Afonso, Aaron Zhang, David Bull

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

2 Citations (Scopus)
277 Downloads (Pure)

Abstract

In this paper we present the BVI-SR video database, which contains 24 unique video sequences at a range of spatial resolutions up to UHD-1 (3840p). These sequences were used as the basis for a large-scale subjective experiment exploring the relationship between visual quality and spatial resolution when using three distinct spatial adaptation filters (including a CNN-based super-resolution method). The results demonstrate that while spatial resolution has a significant impact on mean opinion scores (MOS), no significant reduction in visual quality between UHD-1 and HD resolutions for the super-resolution method is reported. A selection of image quality metrics were benchmarked on the subjective evaluations, and analysis indicates that VIF offers the best performance.
Original languageEnglish
Title of host publication2018 25th IEEE International Conference on Image Processing (ICIP 2018)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages2830-2834
Number of pages5
ISBN (Electronic)9781479970612
ISBN (Print)9781479970629
DOIs
Publication statusE-pub ahead of print - 7 Oct 2018

Publication series

Name
ISSN (Print)2381-8549

Keywords

  • Spatial resolution
  • visual quality
  • 4K

Fingerprint Dive into the research topics of 'A Study of Subjective Video Quality at Various Spatial Resolutions'. Together they form a unique fingerprint.

  • Student Theses

    Intelligent Resampling Methods for Video Compression

    Author: Fernandez Afonso, M., 25 Jun 2019

    Supervisor: Agrafiotis, D. (Supervisor) & Bull, D. (Supervisor)

    Student thesis: Doctoral ThesisDoctor of Philosophy (PhD)

    File

    Cite this

    Mackin, A., Fernandez Afonso, M., Zhang, A., & Bull, D. (2018). A Study of Subjective Video Quality at Various Spatial Resolutions. In 2018 25th IEEE International Conference on Image Processing (ICIP 2018) (pp. 2830-2834). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICIP.2018.8451225