基于预测模式减少和选择性像素匹配的H.264运动估计算法

H. Zeng, C. Cai, S. Mitra
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引用次数: 2

摘要

为了提高编码效率,在H.264中采用了运动估计算法。然而,它导致了非常高的计算负荷。本文提出了一种降低计算复杂度的快速ME算法。首先,采用预测模式约简方法,将编码器从检查均匀区域中的小块类型中解放出来。其次,采用选择性像素匹配方案和简化的最优参考帧识别策略寻找最佳全像素运动向量;最后,利用基于方向的选择规则来减少亚像素搜索过程中的搜索点。实验结果表明,与JM参考软件中默认设置的穷举ME处理方法相比,该算法平均减少了87%的ME处理时间,而PSNR损失仅为0.033 dB,总比特率仅增加0.56%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictive mode reduction and selective pixel matching based motion estimation algorithm for H.264
Motion estimation (ME) algorithm is used in H.264 to improve the coding efficiency. However, it results in very high computational load. In this paper, a novel fast ME algorithm with reduced computational complexity is proposed. First, a predictive mode reduction method is used to free the encoder from checking the small block types in the homogeneous region. Second, a selective pixel matching scheme and a simplified optimal reference frame discrimination strategy are employed to find the best full-pixel motion vector. Finally, direction based selection rule is utilized to diminish the searching points in sub-pixel ME process. Experimental results have shown that the proposed algorithm achieves a reduction of 87% ME process time on average, while incurring only 0.033 dB loss in PSNR and 0.56% increment on the total bit rate compared with that of exhaustive ME process, which is a default approach set in the JM reference software.
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