低计算和高性能自适应全搜索块匹配运动估计

2004 International Conference on Signal Processing and Communications, 2004. SPCOM '04. Pub Date : 2004-12-11 DOI:10.1109/SPCOM.2004.1458413

V. Reddy, S. Sengupta

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引用次数: 0

摘要

利用视频帧间的时空运动相关性，提出了一种低计算量、高性能的自适应全搜索块匹配算法。在这项工作中，之前的帧块运动矢量是跟踪当前块运动的参考矢量。为了进一步减少计算量，我们还研究了部分畸变对早期跳出的优点。实验结果表明，本文提出的自适应搜索区域FSBM算法(ASFSBM)比FSBM算法节省了96%的计算量，估计精度与FSBM算法非常接近。为了获得良好的运动矢量精度，ASFSBM实现了半像素精度。在各种测试视频序列中，将其性能与三步搜索(TSS)和FSBM进行了比较。

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Low-computation and high-performance adaptive full search block-matching motion estimation

This paper describes a low-computation and high-performance adaptive full search block matching (FSBM) by exploiting the spatio-temporal motion correlation between the video frames. In this work, previous frame block motion vector is the reference vector to track the motion of the current block. We also investigate the advantages of partial distortion measures for early jump outs to reduce the computations further. The experimental results reveal that the proposed adaptive search area FSBM algorithm (ASFSBM) saves up to 96% of computations, as compared to FSBM and the estimation accuracy is very close to that of FSBM. To obtain fine motion vector accuracy, ASFSBM has been implemented with half-pixel accuracy. Its performance has been compared with three-step search (TSS) and FSBM for a variety of test video sequences.

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来源期刊

2004 International Conference on Signal Processing and Communications, 2004. SPCOM '04.

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