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Regional mutual information-based identification and reduction of flicker artifacts during video encoding

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Abstract

Present manuscript discusses a novel technique to identify flicker-prone regions in video and reduce its effects. The flicker-prone regions are identified with the help of regional mutual information which takes into account the geometrical properties of the frames while requiring no prior information about the data under consideration, which makes it suitable for video-processing applications. The flicker-prone regions are passed through a temporal filter before standard compliant encoding of the video sequence. Accurate measurement of the flicker-prone regions and independence of the encoding methodology makes the proposed method suitable for wide variety of encoders.

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Notes

  1. Joint and marginal entropy is given by Shannon [13]

    figure a

    which represents the entropy of a normally distributed set of points in \(\mathfrak {R}^{d}\) with covariance matrix \({\varSigma }_{d}\).

  2. See Footnote 1.

  3. \(\exists x_1 \approx x_2\) because of negligible change between co-located MBs.

  4. From experiments we conclude that normalized RMI above 0.8 are flicker prone.

  5. More sequence results with different MB sizes are available at https://goo.gl/CWVjZX.

  6. We may use more number of neighborhood pixels but that will not be able to retain fine oscillations.

  7. SSIM for more sequences can be found at https://goo.gl/9PO2QY.

  8. A detailed SSIM improvement value table with analysis diagrams for every frame is available at https://goo.gl/0Piz4l for various video sequences.

  9. PSNR loss for more sequences can be found at https://goo.gl/wCwNyR.

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Correspondence to Vinay Kumar.

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Kumar, V. Regional mutual information-based identification and reduction of flicker artifacts during video encoding. SIViP 11, 621–628 (2017). https://doi.org/10.1007/s11760-016-1002-6

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