Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (30): 83-84.
• 学术探讨 • Previous Articles Next Articles
TAN Lin1,2,LI Li-juan1
Received:
Revised:
Online:
Published:
Contact:
谭 琳1,2,李丽娟1
通讯作者:
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。
TAN Lin1,2,LI Li-juan1. Fast adaptive motion estimation based on distance prediction[J]. Computer Engineering and Applications, 2007, 43(30): 83-84.
谭 琳1,2,李丽娟1. 基于距离预测的快速自适应运动估计算法[J]. 计算机工程与应用, 2007, 43(30): 83-84.
0 / Recommend
Add to citation manager EndNote|Ris|BibTeX
URL: http://cea.ceaj.org/EN/
http://cea.ceaj.org/EN/Y2007/V43/I30/83