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Authors: Alexander Usoltsev ; Dijana Petrovska-Delacrétaz and Khemiri Houssemeddine

Affiliation: Université Paris-Saclay, France

ISBN: 978-989-758-173-1

ISSN: 2184-4313

Keyword(s): Biometrics, Full Video Processing, Face, Speech, Score Fusion.

Related Ontology Subjects/Areas/Topics: Applications ; Biomedical Engineering ; Biomedical Signal Processing ; Biometrics ; Biometrics and Pattern Recognition ; Cardiovascular Imaging and Cardiography ; Cardiovascular Technologies ; Computer Vision, Visualization and Computer Graphics ; Health Engineering and Technology Applications ; Image and Video Analysis ; Multimedia ; Multimedia Signal Processing ; Pattern Recognition ; Signal Processing ; Software Engineering ; Telecommunications ; Video Analysis

Abstract: This paper describes a bi-modal biometric verification system based on voice and face modalities, which takes advantage of the full video processing instead of using still-images. The bi-modal system is evaluated on the MOBIO corpus and results show a relative improvement of performance by nearly 10% when the whole video is used. The fusion between face and speaker verification systems, using linear logistic regression weights, gives a relative improvement of performance that varies between 30% and 60% comparing to the best uni-modal system. Proof-of-concept iPad application is developed based on the proposed bi-modal system.

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Paper citation in several formats:
Usoltsev, A.; Petrovska-Delacrétaz , D. and Houssemeddine, K. (2016). Full Video Processing for Mobile Audio-Visual Identity Verification.In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-173-1, ISSN 2184-4313, pages 552-557. DOI: 10.5220/0005667305520557

@conference{icpram16,
author={Alexander Usoltsev. and Dijana Petrovska{-}Delacrétaz . and Khemiri Houssemeddine.},
title={Full Video Processing for Mobile Audio-Visual Identity Verification},
booktitle={Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2016},
pages={552-557},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005667305520557},
isbn={978-989-758-173-1},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Full Video Processing for Mobile Audio-Visual Identity Verification
SN - 978-989-758-173-1
AU - Usoltsev, A.
AU - Petrovska-Delacrétaz , D.
AU - Houssemeddine, K.
PY - 2016
SP - 552
EP - 557
DO - 10.5220/0005667305520557

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