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首页> 外文会议>European Signal Processing Conference(EUSIPCO 2005); 20050904-08; Antalya(TK) >Low Complexity Recursive Search Based Motion Estimation Algorithm for Video Coding Applications
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Low Complexity Recursive Search Based Motion Estimation Algorithm for Video Coding Applications

机译：基于低复杂度递归搜索的视频编码运动估计算法

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摘要

A new recursive-search based motion estimation algorithm has been proposed that uses only a maximum of seven candidate motion vectors. The coding quality in terms of signal to noise ratio and compression is quite close to full search motion estimator. The algorithm is extremely light with respect to the computational load. Proposed algorithm improves upon the original three-dimensional recursive search (3DRS) algorithm that is well known as a high performance motion estimator. Results obtained from various test sequences indicate around 50% improvement in computational load over the conventional 3DRS estimator. Simultaneously, the technique provides about 8% improvement in the coded bit-rates. The convergence behavior of our improved algorithm towards variations in the motion vector field is also superior.
机译：已经提出了一种新的基于递归搜索的运动估计算法，该算法仅使用最多七个候选运动矢量。就信噪比和压缩而言，编码质量非常接近于全搜索运动估计器。该算法在计算量方面非常轻便。提出的算法是对原始的三维递归搜索（3DRS）算法的改进，该算法被称为高性能运动估计器。从各种测试序列获得的结果表明，与传统的3DRS估算器相比，计算量提高了约50％。同时，该技术可将编码比特率提高约8％。我们改进的算法针对运动矢量场变化的收敛性能也很出色。

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