一种基于梯度的快速搜索翘曲运动补偿算法

D. B. Bradshaw, N. Kingsbury, A. Kokaram
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引用次数: 2

摘要

提出了一种基于泰勒级数一阶近似的快速搜索翘曲运动补偿方案的算法。与全搜索算法相比,该技术显著降低了所需的计算负载(大约为原来的50倍),同时保持了预测误差方面的性能。随着新算法的进一步研究,预测误差性能有望进一步提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A gradient based fast search algorithm for warping motion compensation schemes
This paper describes a fast search algorithm for warping motion compensation schemes which is based on a first order approximation of a Taylor series. In comparison to a full search algorithm the technique significantly reduces the required computational load (by a factor of approximately fifty) whilst maintaining the performance in terms of prediction error. Further gains in prediction error performance are expected as the new algorithm is investigated further.
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