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联合分数运动估计优化的多参考帧快速选择算法
Fast Algorithm for Multi-frame Selection with Jointly Optimization of Fractional Pixel Motion Estimation
【摘要】 多参考帧和分数运动补偿技术虽然提高了视频编码性能,但同时也使编码器的内存消耗和计算复杂度成倍地增加。其主要原因是多参考帧技术令会运动估计重复地应用在每个参考帧上。通过分析这两种技术对编码性能贡献的相关性,提出了一种联合优化的快速算法。首先,根据不同参考帧之间的合成运动向量,选择空间上最接近的候选参考帧。然后,通过二维多项式模型预测最优分数残插值,决定采用分数运动估计的参考帧。实验结果表明,该方法在不损失任何率失真性能的情况下,可以把计算的复杂度减少为原来的1/3。
【Abstract】 Multi-frame and fractional pixel motion compensation technology improve the video coding performance at expense of the high memory consumption and computational complexity.We proposed a jointly optimized algorithm for these two technologies by analyzing the connection between them.Firstly,the composed MVs were used to select the candidate reference frame set.Secondly,fractional pixel motion estimation was only applied on the reference frame which has the optimal predicted residual based on a two-dimension polynomial model.According to our experiments,a reduction of 60% execution time is attained while still maintaining the same R-D performance with H.264 Joint Model (JM).
【Key words】 Video coding; Multi-frame selection; Fractional pixel motion estimation; Resource optimization;
- 【文献出处】 计算机科学 ,Computer Science , 编辑部邮箱 ,2010年06期
- 【分类号】TN919.81
- 【被引频次】1
- 【下载频次】64