吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (1): 318-326.doi: 10.13229/j.cnki.jdxbgxb201601048

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面向H.264的多级自适应快速整像素运动估计算法

姚睿, 郭庆新, 孙艳梅, 何坤, 张砦   

  1. 南京航空航天大学 自动化学院,南京 210016
  • 收稿日期:2014-06-17 出版日期:2016-01-30 发布日期:2016-01-30
  • 作者简介:姚睿(1974-),女,副教授,博士.研究方向:DSP理论与技术,演化硬件理论与技术,嵌入式测控系统,智能电路.E-mail:yaorui@nuaa.edu.cn
  • 基金资助:
    国家自然科学基金项目(61202001,60871009); 中央高校基本科研业务费专项项目(NS2014036)

Multi-level adaptive fast integer pixel motion estimation algorithm for H. 264

YAO Rui, GUO Qing-xin, SUN Yan-mei, HE Kun, ZHANG Zhai   

  1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics,Nanjing 210016, China
  • Received:2014-06-17 Online:2016-01-30 Published:2016-01-30

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摘要： 为了减少运动估计计算量,提高视频编码效率,提出了一种多级自适应快速整像素运动估计算法。首先,根据前一帧的帧级运动强度和当前块预测运动矢量(PMV)分别预测帧级和宏块级搜索范围,取其中最小值作为最终搜索范围。其次,根据宏块级运动强度,将宏块分为低、中、高三种运动强度类型,针对不同的类型自适应选择钻石、改进的六边形、UMHexagonS算法模板。然后,根据宏块运动矢量方向性,对高运动强度类型宏块采取方向自适应搜索策略。最后,对UMHexagonS算法进行了改进。实验结果表明,本文算法比FFS、UMHexagonS、EPZS算法分别平均减少了70.290%、19.124%、14.113%的运动估计时间,而峰值信噪比基本不变且码率增加较少。

关键词: 信息处理技术, 快速整像素运动估计, 运动强度, 自适应, UMHexagonS

Abstract: In order to reduce the complexity of motion estimation and improve the efficiency of the video encoder, a novel multi-level adaptive fast integer pixel motion estimation algorithm is proposed. First, based on the frame-level motion intensity of previous frame and the predictive motion vector of current block, the frame-level search range and macroblock-level search range are predicted, and the smaller range is taken as the final search range. Second, the macroblock is divided into low, medium and high motion types according to the macroblock-level motion intensity; the Diamond, Hexagon improved or UMHexagonS improved algorithmic templates are adaptively selected. Then adaptive motion estimation of the high motion type macroblock is taken in a certain direction based on the directivity of the motion vector. Finally, improvements are made on the inefficient parts of the UMHexagonS algorithm. Experiment results show that, compared with the full search algorithm, UMHexagonS algorithm and EPZS algorithm, the proposed algorithm can averagely reduce the estimation time by 70.29%, 19.12% and 14.11% respectively, while, the Peak Signal to Noise Ratio (PSNR) and bit rate remain almost unchanged.

Key words: information processing, fast integer pixel motion estimation, motion intensity, adaptive, UMHexagonS

中图分类号: 

  • TN91
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