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Modified small-cross diamond search motion estimation algorithm for H.264/AVC

机译:用于H.264 / AVC的改进的小十字菱形搜索运动估计算法

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Motion estimation (ME) is one of the most important and complex block of all the existing video coding standards. In H.264/AVC video coding standard ME process is much more complex due to variable block size with quarter pixel accuracy. In this paper, we proposed a modified small-cross diamond search (MSCDS) motion estimation algorithm for H.264/AVC video coding standard. The proposed algorithm reduces the number of checking points and thereby makes the motion estimation process faster. Moreover, the MSCDS algorithm is suitable for stationary, quasi-stationary and fast moving video sequences and computationally less complex from hardware point of view. Simulation results show that the proposed algorithm requires very few number of search points for finding the best matched block with almost negligible loss in video quality. As compared to the fastest existing ME algorithm, proposed algorithm requires 9.02% less number of search points with 0.007 dB loss in PSNR.
机译:运动估计(ME)是所有现有视频编码标准中最重要,最复杂的模块之一。在H.264 / AVC视频编码标准中,由于可变的块大小和四分之一的像素精度,ME的处理过程要复杂得多。在本文中,我们针对H.264 / AVC视频编码标准提出了一种改进的小十字菱形搜索(MSCDS)运动估计算法。所提出的算法减少了检查点的数量,从而使运动估计过程更快。此外,MSCDS算法适用于固定,准平稳和快速移动的视频序列,从硬件角度来看,其计算复杂度较低。仿真结果表明,提出的算法只需要很少的搜索点就可以找到最佳匹配的块,而视频质量的损失几乎可以忽略不计。与最快的现有ME算法相比,该算法所需的搜索点数量减少了9.02%,PSNR损失了0.007 dB。

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