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Block Matching Algorithms for Motion Estimation: A Performance-Based Study

机译:用于运动估计的块匹配算法:基于性能的研究

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Motion estimation (ME) process is the most crucial and time-consuming part of video compression technique. So many block-based motion estimation techniques were developed to make ME easy and fast. In this paper we have reviewed almost all the existing BMA from very old Full Search (FS) to recently developed Reduced Three-Step Logarithmic Search (RTSLS) and Cross Three-Step Logarithmic Search (CTSLS), and so on. We have also compared them based on the computations needed per macroblock and the PSNR value of compensated image. Earlier Adaptive Rood Pattern Search (ARPS) was found to be most computationally efficient but during the review we have applied the old algorithms along with recently developed Zero Motion preadjusted RTSLS (ZMRTSLS) and Zero Motion pread-justed CTSLS (ZMCTSLS) are found to be more computationally efficient than even ARPS.
机译:运动估计(ME)过程是视频压缩技术的最重要和耗时的部分。建立了许多基于块的运动估计技术,使我轻松快速。在本文中,我们已经从非常旧的完整搜索(FS)中的所有现有BMA审查到最近开发了减少的三步对数搜索(RTSL)和交叉三步对数搜索(CTSL)等。我们还基于每个宏块所需的计算和补偿图像的PSNR值进行比较。早期的自适应Rood模式搜索(ARPS)被发现最具计算上高效,但在审查期间,我们已经应用了旧算法以及最近开发的零运动预应的RTSL(ZMRTSL)和Zero Motion Pread-Justed CTSL(ZMCTSL)是比ARP更能计算效率。

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