Abstract
In this paper, we propose a mesh-based method for motion estimation and compensation over low frequency subband for wavelet video coding. We concentrate on edge-detection information and apply different parameters using edge magnitude and edge angle values to indicate curvature values for objects. This helps to detect motion patches between adjacent frames for meshes. We analyze and compare coding efficiency with a variety of video test sequences. Experimental results show that our mesh method improves coding performance for videos with less globally distributed motions compared to local motions.
Li Song
Professor, IEEE Senior Member
Professor, Doctoral Supervisor, the Deputy Director of the Institute of Image Communication and Network Engineering of Shanghai Jiao Tong University, the Double-Appointed Professor of the Institute of Artificial Intelligence and the Collaborative Innovation Center of Future Media Network, the Deputy Secretary-General of the China Video User Experience Alliance and head of the standards group.