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Fast mode decision scheme using sum of the absolute difference-based Bayesian model for the H.264/AVC video standard

机译:H.264 / AVC视频标准使用基于绝对差的贝叶斯模型之和的快速模式决策方案

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摘要

H.264/AVC is the most widely used recent video coding standard. It provides a high encoding efficiency but it also has a high computational complexity. The block mode decision for motion estimation is the most time-consuming procedure. A complexity reduction method for the block mode decision procedure is proposed. To reduce the complexity, all block modes are divided into several candidate block mode groups. The sum of the absolute difference (SAD) value, including the motion cost of each mode, is used as a classification feature to divide the block modes into several groups. A refinement method using a Bayesian model based on the average SAD value is also proposed. For B-slices, a differential block mode allocation method is suggested. A different number of candidate modes are allocated for lists (list 0, list 1) based on the SAD value of each list after 16 ?? 16 block motion estimation. The proposed method achieves an average time-saving for the total encoding time of 65% for IPPP and 66.01% for the hierarchical-B structure.
机译:H.264 / AVC是最近使用最广泛的视频编码标准。它提供了很高的编码效率,但同时也具有很高的计算复杂度。运动估计的块模式决策是最耗时的过程。提出了一种块模式决策过程的复杂度降低方法。为了降低复杂度,将所有块模式分为几个候选块模式组。包括每个模式的运动成本在内的绝对差(SAD)值的总和用作分类功能,以将块模式分为几组。还提出了一种基于平均SAD值的使用贝叶斯模型的细化方法。对于B切片,建议使用差分块模式分配方法。根据16 ??之后的每个列表的SAD值,为列表(列表0,列表1)分配不同数量的候选模式。 16块运动估计。所提出的方法为IPPP节省了65%的总编码时间,为B级结构节省了66.01%的时间。

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  • 来源
    《Signal Processing, IET》 |2014年第5期|530-539|共10页
  • 作者单位

    Visual Media Research Section, Realistic Broadcasting Media Research Department, Electronics and Telecommunications Research Institute, Republic of Korea|c|;

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  • 正文语种 eng
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