Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (30): 83-84.

• 学术探讨 • Previous Articles     Next Articles

Fast adaptive motion estimation based on distance prediction

TAN Lin1,2,LI Li-juan1   

  1. 1.School of Computer and Communication,Hunan University,Changsha 410083,China
    2.Central South University of Forestry and Technology,Changsha 410004,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-10-21 Published:2007-10-21
  • Contact: TAN Lin


谭 琳1,2,李丽娟1   

  1. 1.湖南大学 计算机与通信学院,长沙 410083
    2.中南林业科技大学,长沙 410004
  • 通讯作者: 谭 琳

Abstract: Since most of the existing fast motion search algorithm seldom examine all possible candidates within a search area,they may fail to find the optimum point for sequences having fast and/or random motions.To alleviate this problem,proposes a measure estimating the distance between the current search point and the optimal point,which combines with hierarchical searches.The proposed algorithm improves search speed of sequences with fast and/or random motions as well as PSNR performance.

摘要: 已有的快速搜索算法中,绝大多数都不检查搜索区中所有候选项,所以,当视频序列中有快速或随机运动时,这些算法常导致搜索陷入局部最优。为了解决这一问题,提出了一种估算当前搜索点和最佳点之间的距离的度量方法,在此基础上提出了一种新的自适应的阈值方案,并结合层次搜索技术,既有效提高了具有快速或随机运动的视频的运动估计的搜索速度,也保证了算法较好的PSNR性能。