运动估计中双模板设计与自适应模板选取
Fast Motion Estimation Strategy with Double Search Patterns and Adaptive Pattern Selection
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摘要: 通过编码标准测试序列,分析了运动估计算法中计算量的分配和不同模板的性能,为兼顾速度和准确度,选择了双模板策略,并进一步给出了自适应的模板选取方法. 实验结果数据表明,小模板可以提高运动估计算法的效率,大模板可以保证搜索的准确度. 该自适应双模板搜索算法能够以151倍于快速全搜索算法的速度,实现与其近似的峰值信噪比、码率性能.Abstract: Pattern search is the essential part of all fast search motion estimation algorithms of MPEG-4 or H.264 standard. Efficient search patterns can improve the performance of the existing fast search algorithm. In this paper is analyzed the computation distribution of the block-based fast search motion estimation algorithm and the performance of different search patterns. In order to speed up the motion search procedure while maintaining the quality of the decoded sequence, we chose the double search patterns strategy, and suggested an adaptive pattern selection method. The experimental result showed that the small pattern can improve the search efficiency and the large pattern can guarantee the search accuracy. This adaptive double pattern search algorithm can achieve very similar PSNR and bits performance compared with partial distortion fast full search algorithm, while it has a speedup of 151 in real-time.
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