Video sequence matching based on temporal ordinal measurement
作者： Li Chen , F.W.M. Stentiford
DOI: 10.1016/J.PATREC.2008.05.015
关键词:
摘要: This paper proposes a novel video sequence matching method based on temporal ordinal measurements. Each frame is divided into grid and corresponding grids along time series are sorted in an ranking sequence, which gives global local description of variation. A means not only finding query belongs to, but also precise localization. Robustness discriminability two important issues matching. quantitative presented to measure the robustness attributes methods. Experiments conducted BBC open news archive with comparison several
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