A gradient based fast search algorithm for warping motion compensation schemes

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

Abstract

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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一种基于梯度的快速搜索翘曲运动补偿算法
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。
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Computer Analysis of Images and Patterns: 19th International Conference, CAIP 2021, Virtual Event, September 28–30, 2021, Proceedings, Part I Computer Analysis of Images and Patterns: 19th International Conference, CAIP 2021, Virtual Event, September 28–30, 2021, Proceedings, Part II Computer Analysis of Images and Patterns: CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings Computer Analysis of Images and Patterns: 18th International Conference, CAIP 2019, Salerno, Italy, September 3–5, 2019, Proceedings, Part I Computer Analysis of Images and Patterns: 18th International Conference, CAIP 2019, Salerno, Italy, September 3–5, 2019, Proceedings, Part II
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