Fast Algorithm for Multi-frame Selection with Jointly Optimization of Fractional Pixel Motion Estimation
联合分数运动估计优化的多参考帧快速选择算法

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).