Perceptual Video Hashing for Content Identification and Authentication
- Submitting institution
-
University of Northumbria at Newcastle
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 22062897
- Type
- D - Journal article
- DOI
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10.1109/TCSVT.2017.2776159
- Title of journal
- IEEE Transactions on Circuits and Systems for Video Technology
- Article number
- 8116689
- First page
- 50
- Volume
- 29
- Issue
- 1
- ISSN
- 1051-8215
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2017
- 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
-
1
- Research group(s)
-
E - Intelligent Systems Research Group (iSRG)
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper introduces the concept of joint video identification and authentication via a single system. This work has been presented in an invited seminar at Qatar University (21/03/2019) and has led to fruitful research collaboration where the authentication technique proposed in the paper has been adopted in a project funded by QNRF in collaboration with Qatar University (REF: NPRP12S-0312-190332).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -