A Low Complexity Motion Estimation Algorithm Suitable for Frame Rate Conversion

摘要：

Frame rate conversion requires interpolation of image frames at time instances to increase the frame rate. In this paper we propose a new fast algorithm for block motion vector(MV) estimation based on the temporal and spatial correlations. Firstly, every nine neighboring blocks are treated as a macro-block; full search block matching algorithm is used to estimate the motion vector of the center block Then the motion vectors of the remaining blocks are estimated by using a simplified process. The experimental results demonstrate that the proposed algorithm can obtain good image quality with reduced computation complexity compared to conventional motion estimation such as full search algorithm.

作者: Xuewei Chen Eryan Yang Jingjing Zhao

作者单位: School of Communication and Information Engineering, Shanghai University, Shanghai, China

会议类型: 国际会议

会议名称: 2010 International Conference on Audio,Language and Image Processing(2010年音频、语言与图像处理国际会议 ICALIP 2010)

会议地点: 上海

会议语种:英文

页码: 761-765

在线出版日期: 2010-11-23（万方平台首次上网日期，不代表论文的发表时间）