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A Fast Mixed Integer-pixel Search Algorithm Based on Centered Prediction for H.264

机译:基于中心预测的H.264快速混合整数像素搜索算法

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H.264 video coding standard can achieve considerably higher coding efficiency than previous standards. However, this comes at a cost in considerably increased complexity at the encoder and thus increases the difficulty in hardware implementation. The computation complexity is mainly due to motion estimation in combination of variable block sizes and multi-reference frames. With the initialized searching point prediction, searching direction decision, adaptive search window changing and halfstop principle, a fast integer-pixel search algorithm based on centered prediction are provided in this paper to reduce computation in block-matching process. Experimental results show that, the proposed algorithm can reduce about 91.67% of computation complexity compared to full search and 46.52% of computation complexity compared to UMHexagonS but only with little peak signal-to-noise ratio degradation and bit rate increase.
机译:H.264视频编码标准可以实现比以前的标准更高的编码效率。然而,这以在编码器处的复杂性显着增加为代价,并因此增加了硬件实现的难度。计算复杂度主要是由于结合了可变块大小和多参考帧的运动估计。借助初始化的搜索点预测,搜索方向决策,自适应搜索窗口改变和半停止原理,本文提供了一种基于中心预测的快速整数像素搜索算法,以减少块匹配过程中的计算量。实验结果表明,与UMHexagonS相比,所提出的算法与全搜索相比可减少约91.67%的计算复杂度,而与UMHexagonS相比可减少46.52%的计算复杂度,但峰值信噪比下降和比特率增加很少。

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