Weighted motion estimation for efficiently coding scene transition video

You Zhou, Xiaoyan Sun, Hong Bao, Shipeng Li

Abstract: Scene transition video has brought great challenges to current video coding methods because the traditional motion model of block displacement cannot efficiently represent transition motion. The paper first analyzes the features of static transitions. By incorporating the transition filter information into the coding scheme, the weighted motion estimation (WTME) technique is proposed to get accurate motion parameters for the transition video, thereby efficiently compensating both normal and transition motions among frames. Experimental results show that the proposed technique can significantly improve the coding performance of H.264 by up to 2.0 dB while coding scene transition video.