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Data · collection · 2016

Collection of observations gathered at sub-block level using L1 and L2 norm and SSIM

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This contains the datasets of observation gathered for 4x4 and 8x8 sub-block prediction distortion metric assessment on H.264/AVC.

Description

The distortion scores for was gathered during intra and inter coding. L1 norm distortion metric assessment was Sum of Absolute Difference (SAD) and Sum of Absolute Transform Difference (SATD) While L2 norm distortion metric assessment was Sum of Squared Errors (SSE).

Each of these existing assessments were compared with Structural Similarity (SSIM). Please see reference/paper for more details Please note that the initial assessment was based upon a single video sequence of Foreman with both L1 and L2 norm assessement. Then later observations gathered across a variety of video sequences for a single L1 assessment of SATD.Codebook:Below are the headings and an overall description.BlockSize SSIM OneMinSSIM1k Covariance AbsMeanDiff PseudoSSIM TradDistOnly the first two columns and the last column were used for the paper referenced.BlockSize – this will be 4 for 4x4, 8 for 8x8.SSIM – SSIM score as calculated using the implementation found within JM H.264/AVC.TradDist – This would refer to L1 or L2 norm of SA(T)D or SSE respectively.

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OneMinSSIM1k, Covariance, AbsMeanDiff and PseudoSSIM refer to the development of the PsuedoSSIM score, a model to map traditional distortion metric assessment to SSIM values.This is concept is explained in: dx.doi.org/10.1109/BMSB.2013.6621695

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Communications engineering 68% · Video 75%
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DataCite10.6084/m9.figshare.c.364878815 d agoJSON v1
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