首页 | 本学科首页   官方微博 | 高级检索  
     

联合分数运动估计优化的多参考帧快速选择算法
引用本文:陆寄远,孙少晖,朝红阳.联合分数运动估计优化的多参考帧快速选择算法[J].计算机科学,2010,37(6):283-285.
作者姓名:陆寄远  孙少晖  朝红阳
作者单位:1. 中山大学信息科学与技术学院,广州,510275;广东金融学院计算机科学与技术系,广州,510521
2. 中山大学信息科学与技术学院,广州,510275
3. 中山大学软件学院,广州,510275
基金项目:国家863计划项目--基于动漫数据库的计算机辅助动漫创作关键技术与系统,广东省自然科学基金项目--新一代视频编码标准中运动估计关键技术的研究 
摘    要:多参考帧和分数运动补偿技术虽然提高了视频编码性能,但同时也使编码器的内存消耗和计算复杂度成倍地增加.其主要原因是多参考帧技术令会运动估计重复地应用在每个参考帧上.通过分析这两种技术对编码性能贡献的相关性,提出了一种联合优化的快速算法.首先,根据不同参考帧之间的合成运动向量,选择空间上最接近的候选参考帧.然后,通过二维多项式模型预测最优分数残插值,决定采用分数运动估计的参考帧.实验结果表明,该方法在不损失任何率失真性能的情况下,可以把计算的复杂度减少为原来的1/3.

关 键 词:视频编码  多参考帧选择  分数运动估计  资源优化
收稿时间:2009/7/30 0:00:00
修稿时间:2009/10/23 0:00:00

Fast Algorithm for Multi-frame Selection with Jointly Optimization of Fractional Pixel Motion Estimation
LU Ji-yuan,SUN Shao-hui,CHAO Hong-yang.Fast Algorithm for Multi-frame Selection with Jointly Optimization of Fractional Pixel Motion Estimation[J].Computer Science,2010,37(6):283-285.
Authors:LU Ji-yuan  SUN Shao-hui  CHAO Hong-yang
Affiliation:(School of Information Science and Technology,Sun Yat-Sen University,Guangzhou 510275,China);(Department of Computer Science and Technology, Guangdong University of Finance, Guangzhou 510521, China);(School of Software,Sun Yat-Sen University,Guangzhou 510275,China)
Abstract:Multi-frame and fractional pixel motion compensation technology improve the video coding performance at expense of the high memory consumption and computational complexity. We proposed a jointly optimized algorithm for these two technologies by analyzing the connection between them. Firstly, the composed MVs were used to select the candidate reference frame set. Secondly, fractional pixel motion estimation was only applied on the reference frame which has the optimal predicted residual based on a two-dimension polynomial model. According to our experiments, a reduction of 60% execution time is attained while still maintaining the same R-D performance with H. 264 Joint Model(JM).
Keywords:Video coding  Mult-frame selection  Fractional pixel motion estimation  Resource optimization
本文献已被 万方数据 等数据库收录!
点击此处可从《计算机科学》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号