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From multiple video sequences - Observations of L1 (Sum of Absolute Transform Difference (SATD)) and Structural Similarity (SSIM) at sub-block (4x4) and (8x8) on H.264/AVC

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https://figshare.com/articles/dataset/From_multiple_video_sequences_-_Observations_of_L1_Sum_of_Absolute_Transform_Difference_SATD_and_Structural_Similarity_SSIM_at_sub-block_4x4_and_8x8_on_H_264_AVC/4483493
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Observations of L1 (Sum of Absolute Transform Difference (SATD)) and Structural Similarity (SSIM) at sub-block (4x4) and (8x8) on H.264/AVC 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.<br> 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: http://dx.doi.org/10.1109/BMSB.2013.6621695

针对H.264/AVC码本下4×4与8×8子块的L1(绝对变换差之和,Sum of Absolute Transform Difference, SATD)与结构相似性(Structural Similarity, SSIM)的观测数据集如下:以下为数据集表头与整体说明。 数据集表头依次为:BlockSize、SSIM、OneMinSSIM1k、Covariance、AbsMeanDiff、PseudoSSIM、TradDist。 本次所引用的论文仅使用了该数据集的前两列与最后一列数据。 BlockSize:取值为4对应4×4子块,取值为8对应8×8子块。 SSIM:采用JM H.264/AVC工具包中的实现所计算得到的SSIM分值。 TradDist:分别指代SATD的L1范数,或均方误差(Sum of Squared Error, SSE)的L2范数。 OneMinSSIM1k、Covariance、AbsMeanDiff与PseudoSSIM均与伪SSIM(PseudoSSIM,原文笔误为PsuedoSSIM)评分的构建相关,该模型用于将传统失真度量映射为SSIM值。相关概念的详细说明可参考:http://dx.doi.org/10.1109/BMSB.2013.6621695
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figshare
创建时间:
2016-12-20
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