Two-Steps Cross-Diamond Fast Search Algorithm on Motion Estimation in H.264

Qin Liu, S. Hiratsuka, S. Goto, T. Ikenaga
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引用次数: 6

Abstract

Motion estimation plays a key role in the H.264/AVC. It is the most computationally intensive module. Although many fast motion estimation algorithms have been proposed to reduce the huge calculation complexity instead of full search, the motion estimation time still can not satisfy the critical real-time applications' needs. This paper proposes a fast search based on a two-steps coarse to line strategy by cross and diamond search patterns. And we also combines some motion vector predictors and early terminations technique to reduce search points. The experiment results shows that this fast search algorithm has reduced 60% search points and 20% motion estimation time compared with UMHexagonS algorithm, with only less than 0.04 dB loss in the video quality.
H.264中运动估计的两步交叉菱形快速搜索算法
运动估计在H.264/AVC中起着至关重要的作用。它是计算量最大的模块。虽然已经提出了许多快速运动估计算法来减少巨大的计算复杂度,而不是完全搜索,但运动估计时间仍然不能满足关键实时应用的需求。本文提出了一种基于两步粗到线策略的交叉和菱形搜索模式快速搜索算法。并结合运动向量预测和早期终止技术来减少搜索点。实验结果表明,与UMHexagonS算法相比,该快速搜索算法减少了60%的搜索点和20%的运动估计时间,视频质量损失仅小于0.04 dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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