Quality Assessment of Compressed Video for Automatic License Plate Recognition.

Ann Ukhanova; Jesper Støttrup-Andersen; Søren Forchhammer; John Madsen

doi:10.5220/0004671203060313

Quality Assessment of Compressed Video for Automatic License Plate Recognition.

Ann Ukhanova, Jesper Støttrup-Andersen, Søren Forchhammer, John Madsen

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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

Original language	English
Title of host publication	Proceedings of International Conference on Computer Vision Theory and Applications
Publication date	2014
DOIs	https://doi.org/10.5220/0004671203060313
Publication status	Published - 2014
Event	International Conference on Computer Vision Theory and Applications - Lisbon, Portugal Duration: 5 Jan 2014 → 8 Jan 2014

Conference

Conference	International Conference on Computer Vision Theory and Applications
Country	Portugal
City	Lisbon
Period	05/01/2014 → 08/01/2014

Keywords

Quality Assessment
Video Surveillance
License Plate Recognition
Compression

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10.5220/0004671203060313

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@inproceedings{4aa009934e8146d8bfcbf759b8cfb6e6,

title = "Quality Assessment of Compressed Video for Automatic License Plate Recognition.",

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",

keywords = "Quality Assessment, Video Surveillance, License Plate Recognition, Compression",

author = "Ann Ukhanova and Jesper St{\o}ttrup-Andersen and S{\o}ren Forchhammer and John Madsen",

year = "2014",

doi = "10.5220/0004671203060313",

language = "English",

booktitle = "Proceedings of International Conference on Computer Vision Theory and Applications",

note = "International Conference on Computer Vision Theory and Applications, VISAPP 2014 ; Conference date: 05-01-2014 Through 08-01-2014",

}

Ukhanova, A, Støttrup-Andersen, J, Forchhammer, S & Madsen, J 2014, Quality Assessment of Compressed Video for Automatic License Plate Recognition. in Proceedings of International Conference on Computer Vision Theory and Applications. International Conference on Computer Vision Theory and Applications, Lisbon, Portugal, 05/01/2014. https://doi.org/10.5220/0004671203060313

TY - GEN

T1 - Quality Assessment of Compressed Video for Automatic License Plate Recognition.

AU - Ukhanova, Ann

AU - Støttrup-Andersen, Jesper

AU - Forchhammer, Søren

AU - Madsen, John

PY - 2014

Y1 - 2014

N2 - 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

AB - 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

KW - Quality Assessment

KW - Video Surveillance

KW - License Plate Recognition

KW - Compression

U2 - 10.5220/0004671203060313

DO - 10.5220/0004671203060313

M3 - Article in proceedings

BT - Proceedings of International Conference on Computer Vision Theory and Applications

T2 - International Conference on Computer Vision Theory and Applications

Y2 - 5 January 2014 through 8 January 2014

ER -

Quality Assessment of Compressed Video for Automatic License Plate Recognition.

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Conference

Keywords

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