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
    Country/TerritoryPortugal
    CityLisbon
    Period05/01/201408/01/2014

    Keywords

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

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