基于尺度相似性的高效率视频编码快速帧间深度判决

吴宪云; 高媛媛; 李云松; 雷杰; 刘凯

doi:10.3788/OPE.20152313.0577

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基于尺度相似性的高效率视频编码快速帧间深度判决

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- 基于尺度相似性的高效率视频编码快速帧间深度判决
- Determination of fast inter depth for HEVC based on dimensional similarity
- 光学精密工程 2015年23卷第10z期页码：576-581
- 作者机构：
  
  西安电子科技大学综合业务网理论及关键技术国家重点实验室,陕西西安,710071
- 作者简介：
- 基金信息：
  
  中国博士后科学基金资助项目(2013M540735)();国家自然科学基金资助项目(No.61301291,No.61301287,No.61222101)、111计划
- DOI：10.3788/OPE.20152313.0577
  中图分类号： TN914.42
- 收稿日期：2015-05-13，
  
  修回日期：2015-06-08，
  
  纸质出版日期：2015-11-14
- 稿件说明：
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吴宪云, 高媛媛, 李云松等. 基于尺度相似性的高效率视频编码快速帧间深度判决[J]. 光学精密工程, 2015,23(10z): 576-581

WU Xian-yun, GAO Yuan-yuan, LI Yun-song etc. Determination of fast inter depth for HEVC based on dimensional similarity[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 576-581
吴宪云, 高媛媛, 李云松等. 基于尺度相似性的高效率视频编码快速帧间深度判决[J]. 光学精密工程, 2015,23(10z): 576-581 DOI： 10.3788/OPE.20152313.0577.

WU Xian-yun, GAO Yuan-yuan, LI Yun-song etc. Determination of fast inter depth for HEVC based on dimensional similarity[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 576-581 DOI： 10.3788/OPE.20152313.0577.

摘要

为了提高高效率视频编码(HEVC)的编码效率

对帧间预测算法进行了优化

提出一种基于视频序列尺度相似性的快速深度判决算法。视频序列相邻图像之间时域相差很短

因而帧间图像有很强的尺度相似性。本文分析了相邻帧同位编码单元(CU)划分深度的相似性。在当前CU进行深度划分时

利用其参考帧的同位CU深度信息快速判断当前CU深度

跳过或者提前终止一些不必要的深度划分

从而减少CU划分次数

降低编码复杂度

然后采用SKIP模式完成快速判决。实验结果表明

与原始的HEVC算法相比

本文所提算法编码比特率平均降幅为0.58%

峰值信噪比的平均降幅约为0.09 dB

算法运行时间平均节省了约52%。

Abstract

A fast depth decision algorithm for High Efficiency Video coding(HEVC) based on dimensional similarity in video sequences is proposed to improve its coding efficiency. As the difference between adjacent frames is in temporal

it implys strong dimensional similarity in inter-frame prediction. This paper analyzes the similar probability in Coding Unit(CU) depth between adjacent frames to pre-determine the depth of current CU. When the current CU does the depth splitting

its reference frame's CU depth information can be used to estimate the current CU depth. Then

it will jump over or stop some unnecessary deep splitting and to decrease the number of CU splittings and the coding computational complexity. The SKIP fast mode is also adopted to perform the fast determination. Experimental result shows that proposed algorithm reduces coding complexity by 52% as compared with original HEVC algorithm. Meanwhile

the average Peak Signal to Noise Ratio(PSNR) only decreases 0.09 dB and the average coding rate is decreased by approximately 0.58%.

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Keywords

references

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