Stereoscopic video quality assessment using binocular energy
- Submitting institution
-
Loughborough University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1942
- Type
- D - Journal article
- DOI
-
10.1109/JSTSP.2016.2632045
- Title of journal
- IEEE Journal of Selected Topics in Signal Processing
- Article number
- -
- First page
- 102
- Volume
- 11
- Issue
- 1
- ISSN
- 1932-4553
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2016
- URL
-
-
- 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
-
3
- Research group(s)
-
-
- Citation count
- 19
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research output has impacted the state-of-the-art in the field of objective 3D media quality measurement technique based on human 3D perception modelling. The technique has been adopted by 3D media quality research teams worldwide to benchmark and position their related work proposals, e.g., joint work between Tianjin, Xidian (China), Loughborough and Reading Universities (UK) as reported by J. Yang et al. in 2017.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -