A visual quality evaluation method for telemedicine applications
- Submitting institution
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Kingston University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11-39-1371
- Type
- D - Journal article
- DOI
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10.1016/j.image.2017.06.003
- Title of journal
- Signal Processing : Image Communication
- Article number
- -
- First page
- 211
- Volume
- 57
- Issue
- -
- ISSN
- 0923-5965
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2017
- URL
-
-
- Supplementary information
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- 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
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-
- Research group(s)
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-
- Citation count
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper introduces a novel idea enabling accurate video quality assessment at the receiver, not requiring synchronously transmitting side information. The paper was very well received when its short version was presented in May 2017 at IEEE ICC and in the EU Qualinet meeting, where the chair (Prof Ebrahimi) highlighted its potential for the industry in general (not only medical imaging industry). This was also discussed with the chair of the Video Quality Expert Group (Margaret Pinson), who suggested participation and integration of these results in the work of the newly formed No Reference Metrics (NORM) working group.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -