Research output per year
Research output per year
Description
BVI-SR 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 superresolution method is reported. A selection of image quality metrics were benchmarked on the subjective evaluations, and analysis indicates that VIF offers the best performance.
This dataset is published in support of the paper published by IEEE at: https://doi.org/10.1109/ICIP.2018.8451225, and available on the University of Bristol's repository at http://hdl.handle.net/1983/99d89816-e64c-4c75-bb8e-5c7e3015cae7
This dataset is published in support of the paper published by IEEE at: https://doi.org/10.1109/ICIP.2018.8451225, and available on the University of Bristol's repository at http://hdl.handle.net/1983/99d89816-e64c-4c75-bb8e-5c7e3015cae7
| Date made available | 23 Mar 2020 |
|---|---|
| Publisher | University of Bristol |
Research output
- 1 Conference Contribution (Conference Proceeding)
-
A Study of Subjective Video Quality at Various Spatial Resolutions
Mackin, A., Fernandez Afonso, M., Zhang, A. & Bull, D., 7 Oct 2018, (E-pub ahead of print) 2018 25th IEEE International Conference on Image Processing (ICIP 2018). Institute of Electrical and Electronics Engineers (IEEE), p. 2830-2834 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)
Open AccessFile17 Citations (Scopus)583 Downloads (Pure)
Projects
- 1 Finished