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A novel cross-hexagon search algorithm based on motion vector field prediction

机译:一种基于运动矢量场预测的新型跨六角形搜索算法

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Search patterns and the center-biased characteristics of motion vector distribution have large impact on both searching speed and quality of block motion estimation. In this paper, we propose a new cross-hexagon search algorithm (NCHEXS) using two cross-shaped search patterns as the first two initial steps and large/small hexagon-shaped patterns as the subsequent steps for fast block motion estimation (BME). NCHEXS employs halfway stop technique to achieve significant speedup on sequences with stationary and quasi-stationary blocks. To further reduce computational complexity, NCHEXS employs modified partial distortion criterion (MPDC). Experimental results indicate that the improvements of NCHEXS over hexagon search (HEXS) and cross-diamond search (CDS) can save 45% and 28% of search points while keep similar PSNR, and NCHEXS provides faster searching speed and smaller distortion than other popular fast block-matching motion estimation algorithms.
机译:搜索模式和运动矢量分布的中心偏置特性对块运动估计的搜索速度和质量的影响很大。在本文中,我们使用两个横六角搜索算法(Nchexs)用作前两个初始步骤和大/小六角形图案作为快速块运动估计(BME)的后续步骤。 Nchexs采用中途停止技术,以实现具有静止和准静止块的序列的显着加速。为了进一步降低计算复杂性,NCHEX采用修改的部分失真标准(MPDC)。实验结果表明,在六边形搜索(十六进制)和交叉钻石搜索(CDS)上的改进可以节省45%和28%的搜索点,同时保持类似的PSNR,并且Nchexs提供更快的搜索速度和比其他流行的更快的失真块匹配的运动估计算法。

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