Semantic face signatures: recognizing and retrieving faces by verbal descriptions
- Submitting institution
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University of Southampton
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 34073691
- Type
- D - Journal article
- DOI
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10.1109/TIFS.2017.2765519
- Title of journal
- IEEE Transactions on Information Forensics and Security
- Article number
- -
- First page
- 706
- Volume
- 13
- Issue
- 3
- ISSN
- 1556-6013
- Open access status
- Other exception
- Month of publication
- October
- Year of publication
- 2017
- URL
-
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- 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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2
- Research group(s)
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-
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A major question in automatic face recognition is the problem is of how to automatically recognise a subject in an image dataset on the basis of a verbal description. This paper is the culmination of pioneering research that closes the loop in face recognition allowing recognition by computer vision and eyewitness reports. Nixon is an recognised expert in face recognition and its future (e.g. in New Scientist - https://bit.ly/31L6ecB). This work extends initial work from top-tier conferences (e.g. IEEE Face&Gesture [http://dx.doi.org/10.1109/FG.2017.31] and IEEE BTAS [https://doi.org/10.1109/BTAS.2016.7791206]), and was described within keynotes at NBLAW 2014 (https://bit.ly/31LSXjQ) and at IEEE BIOMET 2014.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -