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Adaptive mode decision algorithm for inter layer coding in scalable video coding

机译:可伸缩视频编码中用于层间编码的自适应模式决策算法

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More and more applications are being discovered for scalable video coding (SVC) in network-adaptive video streaming and storage systems. In the SVC encoder, an exhaustive search technique is employed to select the best coding mode for each macro block. This technique achieves the highest possible coding efficiency, but it results in extremely large encoding time. In this paper, we propose an adaptive fast mode decision algorithm for inter layer coding for spatial scalability and coarse grain quality scalability (CGS). In the proposed method, we select candidate modes adaptively for estimation in enhancement layer using the information of base layer and rate distortion (RD) cost of base layer skip mode. RD cost of base layer skip mode gives the correlation information of enhancement layer with base layer and base layer mode is used to reduce the number of candidate modes. We verify that the overall encoding time can be reduced up to 63 % through the analysis of experimental results.
机译:正在发现越来越多的应用程序用于网络自适应视频流和存储系统中的可伸缩视频编码(SVC)。在SVC编码器中,采用穷举搜索技术为每个宏块选择最佳编码模式。该技术可实现最高的编码效率,但会导致极大的编码时间。在本文中,我们为空间可伸缩性和粗粒质量可伸缩性(CGS)的层间编码提出了一种自适应快速模式决策算法。在所提出的方法中,我们使用基础层的信息和基础层跳过模式的速率失真(RD)成本,为增强层中的估计自适应地选择候选模式。基本层跳过模式的RD成本给出了增强层与基本层的相关性信息,并且使用基本层模式来减少候选模式的数量。通过对实验结果的分析,我们验证了整体编码时间最多可以减少63%。

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