An Improved Unsupervised Learning of Motion Estimation Based on Diamond Searching for Distributed Video Coding
Distributed video coding has received much attention in recent years. It shifts the complex motion estimation from the encoder to the decoder side, thus makes low-complexity encoding a reality. Among some motion estimation methods exploited for DVC, expectation maximization (EM) algorithm is the most effective. However, the full searching involved in EM algorithm makes it complex. So, in this paper, we adopt a diamond searching instead of the full searching to optimize the motion searching. The simulation results show that the proposed diamond searching saves time while with the almost same ratedistortion quality compared to the current EM algorithm.
Distributed video coding Expectation Maximization Diamond searching
Wang Haifang Wang Anhong
School of Electronics Information Engineering, Taiyuan University of Science and Technology,Taiyuan,030024, China
国际会议
International Conference on Computational Aspects of Social Networks(国际社会网络计算会议 CASoN 2010)
太原
英文
642-645
2010-09-26（万方平台首次上网日期，不代表论文的发表时间）