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计算机工程 ›› 2009, Vol. 35 ›› Issue (10): 224-225. doi: 10.3969/j.issn.1000-3428.2009.10.074

• 多媒体技术及应用 • 上一篇    下一篇

基于上下文的自适应运动搜索算法

王英坤1,徐伯庆1,杨 华2   

  1. (1. 上海理工大学光学与电子信息工程学院,上海 200093;2. 上海交通大学电子信息与电子工程学院,上海 200030)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-05-20 发布日期:2009-05-20

Context-based Adaptive Motion Search Algorithm

WANG Ying-kun1, XU Bo-qing1, YANG Hua2   

  1. (1. College of Optical & Electronic Information Engineering, University of Shanghai for Science and Technology, Shanghai 200093;2. School of Electronic, Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai 200030)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-05-20 Published:2009-05-20

摘要: 通过分析序列编码结果,根据已编码帧预测模式分布和序列的运动信息,对运动特性不同的宏块选择不同的运动搜索方案。结合提前退出策略以及分层的搜索模式,提出一种新的运动搜索算法。实验结果表明,算法编码质量接近全搜索算法,算法执行时间小于全搜索算法,在速度和质量上都优于钻石搜索算法、新3步法、六边形搜索算法,适用于不同运动特性的视频序列。

关键词: 视频编码, 运动估计, 宏块

Abstract: This paper proposes a novel motion search algorithm. This algorithm sorts the video and search pattern by motion feature respectively, and codes the video with corresponding search pattern adaptively. In order to accelerate the coding speed, it accepts hierarchical search strategy and the early termination strategy in the algorithm. Experimental results show that the execute time of the algorithm is less than full search algorithm with similar visual quality and bit rate. The method can be applied to various video sequences with different motion feature and is superior to conditional search algorithm, such as NTSS, DS and HEXS in both encoding speed and encoding quality.

Key words: video coding, motion estimation, macroblock

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