SRQM: A Video Quality Metric for Spatial Resolution Adaptation

Alex Mackin, Mariana Afonso, Fan Zhang, David Bull

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

5 Citations (Scopus)
341 Downloads (Pure)


This paper presents a full reference objective video quality metric (SRQM), which characterises the relationship between variations in spatial resolution and visual quality in the context of adaptive video formats. SRQM uses wavelet decomposition, subband combination with perceptually inspired weights, and spatial pooling, to estimate the relative quality between the frames of a high resolution reference video, and one that has been spatially adapted through a combination of down and upsampling. The uVI-SR video database is used to benchmark SRQM against five commonly-used quality metrics. The database contains 24 diverse video sequences that span a range of spatial resolutions up to UHD-I (3840× 2160). An in- depth analysis demonstrates that SRQM is statistically superior to the other quality metrics for all tested adaptation filters, and all with relatively low computational complexity.
Original languageEnglish
Title of host publication2018 Picture Coding Symposium 2018 (PCS 2018)
Subtitle of host publicationProceedings of a meeting held 24-27 June 2018, San Francisco, California, USA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages5
ISBN (Electronic)9781538641606
ISBN (Print)9781538641613
Publication statusPublished - Sep 2018
Event33rd Picture Coding Symposium, PCS 2018 - San Francisco, United States
Duration: 24 Jun 201827 Jun 2018

Publication series

ISSN (Print)2472-7822


Conference33rd Picture Coding Symposium, PCS 2018
Country/TerritoryUnited States
CitySan Francisco


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