一种改进的AVS运动预估算法

Wu Qiang, Xu Ying, J. Kebin, Liu Xuwen
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引用次数: 0

摘要

相互预测算法的研究是实时视频编解码技术的一个重要方面。在已有的研究中,可以通过结合高精度估计和补偿算法来减小预测误差。从而提高压缩视频的性能。然而,这为编码器的复杂性带来了相当大的成本。计算的复杂性主要是由于运动估计的复杂性。本文提出了一种基于初始化搜索点预测、半停止原则、预先跳过模式决定、缩减搜索窗口和可选搜索模型的改进算法。为了降低块匹配过程中的计算复杂度,提出了一种整像素运动估计算法。实验结果表明,与完全搜索相比,该算法的计算复杂度降低了64% ~ 73%,而PSNR的下降幅度很小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An improved inter-prediction motion estimation algorithm of AVS
Research on inter-prediction algorithms is an important respect in the real-time video codec technology. In the regarded studies, the prediction error can be reduced by incorporating high accuracy estimation and compensation algorithms. So the performance of compressed video can be improved. However, this brings a considerable cost for the complexity of encoder. The computation complexity is mainly due to the complexity of motion estimation. The paper presents an improved algorithm with the initialized searching point prediction, half-stop principle, beforehand skip mode decision, reduced search window and optional search model. This algorithm for the integer-pixel motion estimation is provided to reduce computation complexity in the block-matching process. Experimental results show that the proposed algorithm can reduce about 64%-73% of computation complexity compared to full search but only with little PSNR degradation.
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