Video sequence matching based on temporal ordinal measurement

Authors:
Li Chen;F. W. M. Stentiford
Affiliations:
University College London, Adastral Park Campus, Martlesham Heath, Ipswich, Suffolk IP5 3RE, UK;University College London, Adastral Park Campus, Martlesham Heath, Ipswich, Suffolk IP5 3RE, UK
Venue:
Pattern Recognition Letters
Year:
2008

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Abstract

This paper proposes a novel video sequence matching method based on temporal ordinal measurements. Each frame is divided into a grid and corresponding grids along a time series are sorted in an ordinal ranking sequence, which gives a global and local description of temporal variation. A video sequence matching means not only finding which video a query belongs to, but also a precise temporal localization. Robustness and discriminability are two important issues of video sequence matching. A quantitative method is also presented to measure the robustness and discriminability attributes of the matching methods. Experiments are conducted on a BBC open news archive with a comparison of several methods.