Motion vector processing based on trajectory curve analysis for motion compensated frame interpolation

In this paper, we propose a novel motion vector processing approach based on the temporal analysis of motion vector reliability for motion-compensated frame interpolation. We first address the problems of conventional methods that find motion by minimizing the difference between the forward and backward predictions. The ghost artifacts can be reduced due to this procedure, but the resulting motion vectors may not represent the actual motion. Therefore, we propose analyzing the temporal variations of the bidirectional prediction difference along the motion trajectory to detect temporally unreliable motion vectors and further improve the accuracy of the bidirectional motion vector processing. Experimental results show that the proposed method can effectively detect unreliable motion vectors and outperforms other methods in terms of visual quality, and structure similarity.