Study of saliency in objective video quality assessment
- Submitting institution
-
Cardiff University / Prifysgol Caerdydd
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 96797187
- Type
- D - Journal article
- DOI
-
10.1109/TIP.2017.2651410
- Title of journal
- IEEE Transactions on Image Processing
- Article number
- -
- First page
- 1275
- Volume
- 26
- Issue
- 3
- ISSN
- 1057-7149
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2017
- URL
-
http://dx.doi.org/10.1109/TIP.2017.2651410
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
V - Visual computing
- Citation count
- 14
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is the first to solve fundamental problems regarding how to acquire reliable eye-tracking data for the purpose of video quality research and how saliency should be incorporated in objective video quality metrics (VQMs). This paper has provided a refined methodology for reliably collecting eye-tracking data, and devised a new approach for optimal use of saliency in VQMs. This work led to an invited talk at http://www.ipta-conference.com/ipta20/index.php/invited-speakers-tutorials.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -