A Study of Subjective Video Quality at Various Spatial Resolutions

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

doi:10.1109/ICIP.2018.8451225

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 proceeding › Conference Contribution (Conference Proceeding)

19 Citations (Scopus)

616 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 language	English
Title of host publication	2018 25th IEEE International Conference on Image Processing (ICIP 2018)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	2830-2834
Number of pages	5
ISBN (Electronic)	9781479970612
ISBN (Print)	9781479970629
DOIs	https://doi.org/10.1109/ICIP.2018.8451225
Publication status	E-pub ahead of print - 7 Oct 2018

Publication series

Name
ISSN (Print)	2381-8549

Keywords

Spatial resolution
visual quality
4K

Access to Document

10.1109/ICIP.2018.8451225

Full-text PDF (accepted author manuscript)
This is the author accepted manuscript (AAM). The final published version (version of record) is available online via IEEE at https://ieeexplore.ieee.org/document/8451225 . Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 2.65 MB

Handle.net

Persistent link

Vision for the Future-Full
Bull, D. R. (Principal Investigator)
1/02/15 → 31/01/20
Project: Research

Intelligent Resampling Methods for Video Compression
Fernandez Afonso, M. (Author), Agrafiotis, D. (Supervisor) & Bull, D. (Supervisor), 25 Jun 2019
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)

File

BVI-SR Database
Zhang, F. (Creator) & Bull, D. (Creator), University of Bristol, 23 Mar 2020
DOI: 10.5523/bris.1gqlebyalf4ha25k228qxh5rqz, http://data.bris.ac.uk/data/dataset/1gqlebyalf4ha25k228qxh5rqz
Dataset

Cite this

@inproceedings{99d89816e64c4c75bb8e5c7e3015cae7,

title = "A Study of Subjective Video Quality at Various Spatial Resolutions",

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.",

keywords = "Spatial resolution, visual quality, 4K",

author = "Alex Mackin and {Fernandez Afonso}, Mariana and Aaron Zhang and David Bull",

year = "2018",

month = oct,

day = "7",

doi = "10.1109/ICIP.2018.8451225",

language = "English",

isbn = "9781479970629",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

pages = "2830--2834",

booktitle = "2018 25th IEEE International Conference on Image Processing (ICIP 2018)",

address = "United States",

}

A Study of Subjective Video Quality at Various Spatial Resolutions. / Mackin, Alex; Fernandez Afonso, Mariana; Zhang, Aaron et al.
2018 25th IEEE International Conference on Image Processing (ICIP 2018). Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 2830-2834.

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

TY - GEN

T1 - A Study of Subjective Video Quality at Various Spatial Resolutions

AU - Mackin, Alex

AU - Fernandez Afonso, Mariana

AU - Zhang, Aaron

AU - Bull, David

PY - 2018/10/7

Y1 - 2018/10/7

N2 - 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.

AB - 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.

KW - Spatial resolution

KW - visual quality

KW - 4K

U2 - 10.1109/ICIP.2018.8451225

DO - 10.1109/ICIP.2018.8451225

M3 - Conference Contribution (Conference Proceeding)

SN - 9781479970629

SP - 2830

EP - 2834

BT - 2018 25th IEEE International Conference on Image Processing (ICIP 2018)

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

A Study of Subjective Video Quality at Various Spatial Resolutions

Abstract

Publication series

Keywords

Access to Document

Handle.net

Fingerprint

Projects

Vision for the Future-Full

Student theses

Intelligent Resampling Methods for Video Compression

Datasets

BVI-SR Database

Cite this