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Authors: Anna Ukhanova 1 ; Jesper Støttrup-Andersen 2 ; Søren Forchhammer 1 and John Madsen 2

Affiliations: 1 Technical University of Denmark, Denmark ; 2 Milestone Systems A/S, Denmark

Keyword(s): Quality Assessment, Video Surveillance, License Plate Recognition, Compression.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Coding and Compression ; Image Formation and Preprocessing ; Motion, Tracking and Stereo Vision ; Video Surveillance and Event Detection

Abstract: Definition of video quality requirements for video surveillance poses new questions in the area of quality assessment. This paper presents a quality assessment experiment for an automatic license plate recognition scenario. We explore the influence of the compression by H.264/AVC and H.265/HEVC standards on the recognition performance. We compare logarithmic and logistic functions for quality modeling. Our results show that a logistic function can better describe the dependence of recognition performance on the quality for both compression standards. We observe that automatic license plate recognition in our study has a behavior similar to human recognition, allowing the use of the same mathematical models. We furthermore propose an application of one of the models for video surveillance systems.

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Paper citation in several formats:
Ukhanova, A. ; Støttrup-Andersen, J. ; Forchhammer, S. and Madsen, J. (2014). Quality Assessment of Compressed Video for Automatic License Plate Recognition. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 3: VISAPP; ISBN 978-989-758-009-3; ISSN 2184-4321, SciTePress, pages 306-313. DOI: 10.5220/0004671203060313

@conference{visapp14,
author={Anna Ukhanova and Jesper Støttrup{-}Andersen and Søren Forchhammer and John Madsen},
title={Quality Assessment of Compressed Video for Automatic License Plate Recognition},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 3: VISAPP},
year={2014},
pages={306-313},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004671203060313},
isbn={978-989-758-009-3},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 3: VISAPP
TI - Quality Assessment of Compressed Video for Automatic License Plate Recognition
SN - 978-989-758-009-3
IS - 2184-4321
AU - Ukhanova, A.
AU - Støttrup-Andersen, J.
AU - Forchhammer, S.
AU - Madsen, J.
PY - 2014
SP - 306
EP - 313
DO - 10.5220/0004671203060313
PB - SciTePress

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