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Fast Variable Padding Motion Estimation Using Smart Zero Motion Prejudgment Technique for Pixel and Frequency Domains

机译:使用智能零运动预测技术对像素和频域进行快速可变填充运动估计

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Motion estimation (ME) plays an important role in modern video coders since it consumes approximately 60-80% of the entire encoder's computations. In this paper, three novel techniques are proposed to effectively speed up the ME process. First, a smart prediction technique for effectively deciding an initial search center is proposed. Second, a zero motion prejudgment technique is proposed to accurately decide whether the pre-estimated ISC can be considered as a best match motion vector (MV) and consequently save the required computations for the MV refinement process. Finally, a variable padding pixels ME technique is proposed to adaptively determine the number of padding pixels required for the search window for more computational cost savings. The three techniques are combined and applied to the block-based ME for a superior computational complexity savings in the ME process. The performance of the proposed techniques is tested in both the pixel domain ME and the frequency domain ME in terms of their quantitative visual quality (peak signal-to-noise ratio, PSNR), their computational complexity, and their bit rate. Experimental results demonstrate that the proposed fast ME technique is able to achieve approximately a 99.4% reduction in ME time compared to the conventional full search block-based ME (FSSBB-ME) with negligible degradation in both the PSNR and the bit rate. Additionally, the experimental results prove the effectiveness of the proposed techniques if they are combined with any block-based ME technique such as the fast extended diamond enhanced predictive zonal search. Experimental results also demonstrate that there is at least an additional savings of 72% in ME time using the conventional discrete cosine transform phase correlation ME (DCT-PC-ME) in the frequency domain compared to the conventional FSBB-ME technique in pixel domain. Compared to the conventional DCT-PC-ME, applying the proposed novel techniques to the DCT-PC-ME saves up to 89% in ME t-nime.
机译:运动估计(ME)在现代视频编码器中起着重要作用,因为它消耗了整个编码器计算量的大约60-80%。在本文中,提出了三种新颖的技术来有效地加速ME过程。首先,提出了一种有效地确定初始搜索中心的智能预测技术。其次,提出了一种零运动预判断技术,以准确地确定是否可以将预先估计的ISC视为最佳匹配运动矢量(MV),从而节省MV精炼过程所需的计算量。最后,提出了一种可变填充像素ME技术,以自适应地确定搜索窗口所需的填充像素数量,以节省更多的计算成本。结合了这三种技术并将其应用于基于块的ME,以节省ME过程中的计算复杂性。在像素域ME和频域ME上,根据其定量视觉质量(峰值信噪比,PSNR),其计算复杂度和比特率,对所提出技术的性能进行了测试。实验结果表明,与传统的基于完全搜索块的ME(FSSBB-ME)相比,所提出的快速ME技术能够将ME时间减少大约99.4%,而PSNR和比特率的下降都可以忽略不计。此外,如果将它们与任何基于块的ME技术(例如快速扩展的钻石增强的预测性区域搜索)结合使用,则实验结果证明了所提出技术的有效性。实验结果还证明,与传统的FSBB-ME像素域技术相比,在频域中使用常规离散余弦变换相位相关ME(DCT-PC-ME)至少可节省72%的ME时间。与传统的DCT-PC-ME相比,将提出的新技术应用于DCT-PC-ME可以节省多达89%的ME t-nime。

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