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    Universidad Politecnica de Valencia

    Fusion of Qualities for Frame Selection in Video Face Verification

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    It is known that the use of video can help improve the performance of face verification systems. However, processing video in resource constrained devices is prohibitive. In order to reduce the load of the algorithms, a quality-based selection of frames can be applied. Generally there are available several qualities and thus a good fusion scheme is required. This paper addresses the problem of fusing quality measures such that the resulting quality improves the performance of frame selection. A comparison of different methods for fusing qualities is presented. Also, some new quality measures based on time derivatives are proposed, which are shown to be beneficial for estimating the overall quality. Finally, a curve is proposed which proves that the qualities used for frame selection effectively improve verification performance, independent of the number of frames selected or the method employed for obtaining the overall biometric score

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    Description

    Title : Fusion of Qualities for Frame Selection in Video Face Verification
    Author(s) : Mauricio Villegas, Roberto Paredes
    Abstract : It is known that the use of video can help improve the performance of face verification systems. However, processing video in resource constrained devices is prohibitive. In order to reduce the load of the algorithms, a quality-based selection of frames can be applied. Generally there are available several qualities and thus a good fusion scheme is required. This paper addresses the problem of fusing quality measures such that the resulting quality improves the performance of frame selection. A comparison of different methods for fusing qualities is presented. Also, some new quality measures based on time derivatives are proposed, which are shown to be beneficial for estimating the overall quality. Finally, a curve is proposed which proves that the qualities used for frame selection effectively improve verification performance, independent of the number of frames selected or the method employed for obtaining the overall biometric score
    Keywords : machine vision

    Subject : unspecified
    Area : Other
    Language : English
    Year : 2010

    Affiliations Universidad Politecnica de Valencia
    Journal : 2010 20th International Conference on Pattern Recognition
    Publisher : Ieee
    Pages : 1302-1305
    Url : http://eprints.pascal-network.org/archive/00007440/

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