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 proceedingArticle in proceedingsResearchpeer-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 languageEnglish
Title of host publicationProceedings of International Conference on Computer Vision Theory and Applications
Publication date2014
DOIs
Publication statusPublished - 2014
EventInternational Conference on Computer Vision Theory and Applications - Lisbon, Portugal
Duration: 5 Jan 20148 Jan 2014

Conference

ConferenceInternational Conference on Computer Vision Theory and Applications
CountryPortugal
CityLisbon
Period05/01/201408/01/2014

Keywords

  • Quality Assessment
  • Video Surveillance
  • License Plate Recognition
  • Compression

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