A deep evaluator for image retargeting quality by geometrical and contextual interaction
- Submitting institution
-
Loughborough University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1961
- Type
- D - Journal article
- DOI
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10.1109/TCYB.2018.2864158
- Title of journal
- IEEE Transactions on Cybernetics
- Article number
- -
- First page
- 87
- Volume
- 50
- Issue
- 1
- ISSN
- 2168-2267
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2018
- 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)
-
-
- Citation count
- 9
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper has led to a further collaborative project supported by NSFC in China (Grant 61871283) on quality of experience in virtual reality based on fusion of physics, physiology and psychology.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -