[1]吴良堤,冯桂.HEVC帧间编码的快速CU尺寸和PU模式决策算法[J].华侨大学学报(自然科学版),2018,39(1):121-126.[doi:10.11830/ISSN.1000-5013.201508038]
　WU Liangdi,FENG Gui.Fast CU Size and PU Mode Decision Algorithm for HEVC Inter Coding[J].Journal of Huaqiao University(Natural Science),2018,39(1):121-126.[doi:10.11830/ISSN.1000-5013.201508038]
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HEVC帧间编码的快速CU尺寸和PU模式决策算法()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第39卷
期数:
2018年第1期
页码:
121-126
栏目:
出版日期:
2018-01-17

文章信息/Info

Title:
Fast CU Size and PU Mode Decision Algorithm for HEVC Inter Coding
文章编号:
1000-5013(2018)01-0121-06
作者:
吴良堤;  冯桂
华侨大学 信息科学与工程学院, 福建 厦门 361021
Author(s):
WU Liangdi;  FENG Gui
College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China
关键词:
高效视频编码;  帧间预测;  编码单元尺寸;  预测单元模式;  决策算法
Keywords:
high efficiency video coding;  inter prediction;  code unit size;  prediction unit mode;  decision algorithm
分类号:
TN919.81
DOI:
10.11830/ISSN.1000-5013.201508038
文献标志码:
A
摘要:
为了进一步降低高效视频编码(HEVC)帧间编码的复杂度,提出一种快速的编码单元(CU)尺寸和预测单元(PU)模式决策算法.首先,利用SKIP和平均运动矢量提前结束CU分割过程.其次,根据统计的阈值,实现概率较小的PU模式计算过程的跳过.算法在随机方向(RA)和低延时(LD)配置下,编码时间分别平均降低42.2%和36.3%,造成的BDBR(bjentegaard delta bitrate)损失仅为0.624%和0.264%.实验结果表明:CU尺寸和PU模式决策算法在编码质量基本不变的前提下,能正确地决策出最佳CU尺寸和PU模式,有效地提高HEVC的编码效率.
Abstract:
To reduce the inter encoding complexity in high efficiency video coding(HEVC), we proposed an algorithm which include fast code unit(CU)size and prediction unit(PU)mode decision. Firstly, CU split is early terminated by skip and average motion vector. Then, skip PU mode with small probability based on statistical threshold. The proposed algorithm can yield an average time saving of 42.2% and 36.3% only with average 0.624% and 0.264% BDBR(bjentegaard delta bitrate)losses for various test sequences under random access(RA)and low delay(LD)conditions, respectively. The experimental results showed that CU size and PU mode decision algorithm accurately decides the best CU size or PU mode and effectively improves the efficiency of HEVC coding when the encoding quality is invariant.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2015-08-22
通信作者: 冯桂(1960-),女,教授,博士,主要从事图像与视频信息处理与应用、图像信息系统的建立与应用、模式识别与影像理解、计算机视觉和多媒体通信的研究.E-mail:fengg@hqu.edu.cn.
基金项目: 福建省自然科学基金资助项目(2014J01242, 2016J01306)
更新日期/Last Update: 2018-01-20