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• W2516722492 abstract "The problem of motion intensity estimation (MIE) is investigated using spectral approaches. We have proposed a set of 3D discrete Fourier transform (DFT) and 3D discrete cosine transform (DCT) based metrics, which can efficiently detect the intensity of motion present in a given video sequence. The effectiveness of the proposed transform-based measures is demonstrated by correlating the proposed metrics with the widely known spatial domain based motion intensity features. The performance of the approach is evaluated by using a Pearson correlation coefficient measure, which attains values of 0.87225 and 0.84851 for DFT and DCT based metrics. This is an indicator of the success of the proposed approach." @default.
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• W2516722492 date "2016-03-01" @default.
• W2516722492 modified "2023-09-25" @default.
• W2516722492 title "Spectral approaches for motion intensity estimation in video coding" @default.
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• W2516722492 doi "https://doi.org/10.1109/ncc.2016.7561140" @default.
• W2516722492 hasPublicationYear "2016" @default.
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