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A split and merge algorithm for inter-mode decision in extended macroblocks

机译:扩展宏块中模式间决策的拆分合并算法

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Extended macroblock size (EMS) improves the highest possible coding efficiency for the current video coding standards, but a large number of additional candidate coding modes results in high computational expense. In this paper, the correlation among different modes is exploited to drastically reduce the number of candidate modes in EMS. And a fast inter-mode decision algorithm for EMS is proposed based on above facts. Furthermore, a split and merge technology is used to find the optimal partitioning with computational efficiency. Experimental results show that the proposed fast inter-mode decision algorithm reduces the computational complexity significantly with negligible coding lost.
机译:扩展宏块大小(EMS)提高了当前视频编码标准的最高可能编码效率,但是大量其他候选编码模式导致了高计算量。在本文中,利用不同模式之间的相关性来大大减少EMS中候选模式的数量。基于以上事实,提出了一种用于EMS的快速模式间决策算法。此外,使用拆分和合并技术来找到具有计算效率的最佳分区。实验结果表明,所提出的快速模式间决策算法可以显着降低计算复杂度,而编码损失却可以忽略不计。

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