Analyzing Transformation of 1D-Functions for Frequency Domain based Video Classification

Abstract

In this paper we illuminate a frequency domain based classification method for video scenes. Videos from certain topical areas often contain activities with repeating movements. Sports videos, home improvement videos, or videos showing mechanical motion are some example areas. Assessing main and side frequencies of each repeating movement gives rise to the… (More)

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Cite this paper

@inproceedings{Ayyildiz2012AnalyzingTO, title={Analyzing Transformation of 1D-Functions for Frequency Domain based Video Classification}, author={Kahraman Ayyildiz and Stefan Conrad}, year={2012} }