High dynamic range video compression exploiting luminance masking
- Submitting institution
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University of Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 94283472
- Type
- D - Journal article
- DOI
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10.1109/TCSVT.2015.2426552
- Title of journal
- IEEE Transactions on Circuits and Systems for Video Technology
- Article number
- -
- First page
- 950
- Volume
- 26
- Issue
- 5
- ISSN
- 1051-8215
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- Year of publication
- 2015
- 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
-
4
- Research group(s)
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C - Visual Information Lab
- Citation count
- 23
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Presented the state-of-the-art in perceptually optimised HDR video compression, outperforming Dolby’s PQ system by 20%. Developed under Bristol Vision Institute’s EPSRC Platform Grant (PI:Bull/EP/M000885/1) in collaboration with BBC. Contributed to the formation of the strategic Data Science Research Partnership between Bristol and BBC (PI:Bull). It played a major role in developing workflows for iconic programmes such as Blue Planet 2 building on a joint BBC White Paper (WHP269). It also contributed in attracting BBC partnership in the £5.9m ISCF Bristol and Bath Creative Industries Cluster (Co-I:Bull) and the £46m MyWorld Strength in Places Programme (PI:Bull).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -