| Session: | Image and Video Quality Assessment with Industry Applications |
| Location: | Lecture Room |
| Session Time: | Tuesday, June 26, 10:20 - 12:40 |
| Presentation Time: | Tuesday, June 26, 10:40 - 11:00 |
| Presentation: |
Special Session Lecture
|
| Paper Title: |
SRQM: A Video Quality Metric for Spatial Resolution Adaptation |
| Authors: |
Alex Mackin; University of Bristol, United Kingdom | | |
| | Mariana Afonso; University of Bristol, United Kingdom | | |
| | Fan Zhang; University of Bristol, United Kingdom | | |
| | David Bull; University of Bristol, United Kingdom | | |
| Abstract: |
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 BVI-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-1 (3840x2160). 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. |