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A Fast Adaptive Motion Estimation Algorithm

机译:快速自适应运动估计算法

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摘要

UMHexagonS is a fast integer-pixel motion estimation algorithm adopted in H.264/AVC reference software, while in the real time applications, it still has many shortcomings, such as excessive search points and slow search speed. So, further improvement and optimization are needed for this algorithm. In this paper, a fast adaptive motion estimation algorithm is proposed based on the analysis of UMHexagonS algorithm. Many new technologies are applied in the novel algorithm, such as the dynamic search window, motion type adaptive search strategies, directional cross-shaped search, adaptive rectangle-diamond search, adaptive multi-levels octagon regional search and adaptive hexagon search. Experimental results show that the novel algorithm can reduce 10%-30% time of motion estimation while keeping the video quality almost unchanged. In addition, both the scene-adaptive ability and real-time performance are strongly strengthened.
机译:Umhexagons是H.264 / AVC参考软件中采用的快速整数像素运动估计算法,而在实时应用中,它仍然存在许多缺点,例如过多的搜索点和慢速搜索速度。 因此,该算法需要进一步提高和优化。 本文基于UMHExagons算法的分析,提出了一种快速自适应运动估计算法。 许多新技术应用于新颖的算法,例如动态搜索窗口,运动型自适应搜索策略,定向交叉形搜索,自适应矩形钻石搜索,自适应多级八边形区域搜索和自适应六角形搜索。 实验结果表明,新颖的算法可以减少10%-30%的运动估计时间,同时保持视频质量几乎不变。 此外,既强化现场自适应能力和实时性能。

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