一种新的快速块运动估计的交叉六边形搜索算法

Kamel Belloulata, Shiping Zhu, Jun Tian, Xiaodong Shen
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引用次数: 17

摘要

搜索方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有很大影响。本文提出了一种新的交叉六边形搜索算法(NCHEXS),该算法采用两种十字形搜索模式作为前两个初始步骤,大/小六边形模式作为后续步骤,用于快速块运动估计(BME)。NCHEXS采用中途停止技术,对含有平稳和准平稳块的序列实现了显著的加速。为了进一步降低计算复杂度,NCHEXS采用了改进的部分失真准则(MPDC)。实验结果表明,NCHEXS算法在保持相似PSNR的情况下,比六边形搜索(HEXS)和交叉菱形搜索(CDS)算法分别节省了45%和28%的搜索点,并且比其他流行的快速块匹配运动估计算法具有更快的搜索速度和更小的失真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel cross-hexagon search algorithm for fast block motion estimation
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 keeping similar PSNR, and NCHEXS provides faster searching speed and smaller distortion than other popular fast block-matching motion estimation algorithms.
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