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Fast Algorithm of Shot Cut Detection

Authors: Lenka Krulikovská, Jaroslav Polec, Tomáš Hirner


In this paper we present a novel method, which reduces the computational complexity of abrupt cut detection. We have proposed fast algorithm, where the similarity of frames within defined step is evaluated instead of comparing successive frames. Based on the results of simulation on large video collection, the proposed fast algorithm is able to achieve 80% reduction of needed frames comparisons compared to actually used methods without the shot cut detection accuracy degradation.

Keywords: pearson correlation coefficient, fast algorithm, Abrupt cut, shot cut detection

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