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Fast Mode Decision Algorithms for Adaptive GOP Structure in the Scalable Extension of H.264/AVC

机译:H.264 / AVC可扩展扩展中自适应GOP结构的快速模式决策算法

摘要

[[abstract]]We propose a fast mode decision algorithm to reduce the computational complexity of adaptive GOP structure (AGS) in the scalable extension of H.264/AVC. AGS can improve the coding efficiency of the scalable extension of H.264. It, however, needs to perform motion-compensated temporal filtering (MCTF) of all possible GOP sizes, leading to much higher computation than the fixed GOP structure. In our proposed algorithm, after performing the MCTF with the maximum GOP size, we utilize two features to decide whether to perform the remaining MCTFs of sub-GOPs and mode selection. Experimental results show that the proposed algorithm can significantly reduce unnecessary MCTF computation for AGS, while maintaining good coding efficiency.
机译:[[摘要]]我们提出了一种快速模式决策算法,以降低H.264 / AVC的可扩展性中自适应GOP结构(AGS)的计算复杂性。 AGS可以提高H.264可扩展扩展的编码效率。但是,它需要对所有可能的GOP大小执行运动补偿的时间滤波(MCTF),从而导致比固定GOP结构高得多的计算量。在我们提出的算法中,在以最大GOP大小执行MCTF之后,我们利用两个功能来决定是否执行子GOP的其余MCTF和模式选择。实验结果表明,该算法在保持良好编码效率的同时,可以大大减少AGS不必要的MCTF计算。

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