面向硬件的分层HEVC运动估计算法

胡沥; 何卫锋

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面向硬件的分层HEVC运动估计算法

更新时间：2026-09-04

- 面向硬件的分层HEVC运动估计算法
- Hardware-Oriented Hierarchical Motion Estimation Algorithm for HEVC
- 微电子学与计算机 2017年34卷第7期页码：23-26
- 作者机构：
  
  上海交通大学微电子学院,上海,200240
- 作者简介：
- 基金信息：
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  中图分类号：
- 纸质出版：2017
- 稿件说明：
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胡沥, 何卫锋. 面向硬件的分层HEVC运动估计算法[J]. 微电子学与计算机, 2017, 34(7): 23-26, 32.

HU Li, HE Wei-feng. Hardware-Oriented Hierarchical Motion Estimation Algorithm for HEVC[J]. 2017, 34(7): 23-26.
胡沥, 何卫锋. 面向硬件的分层HEVC运动估计算法[J]. 微电子学与计算机, 2017, 34(7): 23-26, 32. DOI：

HU Li, HE Wei-feng. Hardware-Oriented Hierarchical Motion Estimation Algorithm for HEVC[J]. 2017, 34(7): 23-26. DOI：

摘要

运动估计是HEVC中计算复杂度最高的部分之一.为了提高HEVC压缩UHD视频时的编码效率

本文采用在运动估计算法第一层结合中心全搜索和周边降采样搜索

同时在第二层使用六边形快速搜索优化第一层搜索结果的方法.将提出算法的代码加入到最新的HEVC仿真模型(HM 15.0)之后

针对UHD视频序列的仿真测试显示提出算法在减少全搜索运动估计算法97.8%的运算量的同时图像BD-rate只损失了0.77%

说明了提出的算法能够实现高效的编码效果.

Abstract

Motion estimation is one of the most computational complex parts of HEVC. In order to improve the coding efficiency of HEVC compressing UHD video

this paper adopts the method of combining central full search and peripheral downsampling search into the first layer

and a hexagon fast search in the second layer to optimize the first layer search results. After describing the proposed algorithm in the latest HEVC software model (HM 15.0)

the simulation test for the UHD video sequence shows that the proposed method can reduce the computational complexity of the full search motion estimation algorithm by 97.8%

while the BD-rate loss is only 0.77%

which shows that the proposed algorithm can achieve efficient encoding.

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references

Kim S, Park C, Chun H, et al. A novel fast and low-complexity Motion Estimation for UHD HEVC[J]. Picture Coding Symposium (PCS), 2013, 18(6): 105-108. DOI: 105

Sullivan G J, Ohm J, Han W, et al. Overview of the high efficiency video coding (HEVC) standard[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2012, 22(12): 1649-1668. DOI: 1649

Ye X, Ding D, Yu L. A hardware-oriented ime algorithm and its implementation for hevc[C]//Visual Communications and Image Processing Conference. [s. l], 2014.

Bossen F, Bross B, Suhring K, et al. HEVC complexity and implementation analysis[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2012, 22(12): 1685-1696. DOI: 1685

Bjontegaard G. Calculation of average PSNR differences between RD-curves[D]. Austin, Texas, USA, 2001, VCEG M33.

Song L, Tang X, Zhang W, et al. The sjtu 4k video sequence dataset[C]//2013 Fifth International Workshop on Quality of Multimedia Experience (QoMEX). [s. l], 2013: 34-35.

Paramkusam A V, Reddy V S K. A novel block-matching motion estimation algorithm based on multilayer concept[C]// Multimedia and Expo (ICME), 2014 IEEE International Conference on. Okayama University, Japan, 2014.

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