Adaptive Motion Vector Prediction Based on Spatiotemporal Correlation

摘要：

Motion vector prediction (MVP) is an important issue in the hybrid block-based video coding. The more accurate MVP comes with the better coding efficiency in terms of bits reduction for motion vector (MV) and residual. This paper proposes an adaptive spatiotemporal MVP scheme for H.264/AVC. In the proposed scheme, a novel criterion is put forward and the predicted motion vector (PMV) of current block is calculated by either the available MVs of neighboring blocks or the MV of co-located block in the previous frame adaptively. Due to the proposed criterion, the more accurate PMV can be obtained by effectively exploiting the spatial and temporal MV correlation. Experimental results show that the proposed scheme can improve the coding efficiency for various video sequences.

关键词： Motion vector prediction Motion estimation Adaptive Spatiotemporal correlation H.264/AVC

作者: Juan Liu Bin Feng Zhan Ma Wen-yu Liu

作者单位: Department of Electronics and Information Engineering,Huazhong University of Science and Technology (HUST),Wuhan 430074,P.R.China

会议类型: 国际会议

会议名称: 第二届IEEE无线通讯、网络技术暨移动计算国际会议

会议地点: 武汉

会议语种:英文

在线出版日期: 2006-09-01（万方平台首次上网日期，不代表论文的发表时间）