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An Efficient Method of Shot Cut Detection

Authors: Lenka Krulikovsk√°, Jaroslav Polec

Abstract:

In this paper we present a method of abrupt cut detection with a novel logic of frames- comparison. Actual frame is compared with its motion estimated prediction instead of comparison with successive frame. Four different similarity metrics were employed to estimate the resemblance of compared frames. Obtained results were evaluated by standard used measures of test accuracy and compared with existing approach. Based on the results, we claim the proposed method is more effective and Pearson correlation coefficient obtained the best results among chosen similarity metrics.

Keywords: pearson correlation coefficient, mutual information, Abrupt cut, shot cut detection

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1057479

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