广东工业大学学报 ›› 2021, Vol. 38 ›› Issue (03): 36-41.doi: 10.12052/gdutxb.200066

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基于深度特性的帧间预测快速算法

彭同壮, 刘立程, 杨关水   

  1. 广东工业大学 信息工程学院，广东 广州 510006
  • 收稿日期:2020-04-28 出版日期:2021-05-10 发布日期:2021-03-12
  • 作者简介:彭同壮(1994-)，男，硕士研究生，主要研究方向为视频编解码算法
  • 基金资助:
    广州市科技计划项目(201802020008)

A Fast Inter-prediction Mode Selection Algorithm Based on Motion Characteristics

Peng Tong-zhuang, Liu Li-cheng, Yang Guan-shui   

  1. School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2020-04-28 Online:2021-05-10 Published:2021-03-12

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摘要： 高效视频编码(High Efficiency Video Coding, HEVC)的帧间预测部分存在很高的计算复杂度, 为了降低编码时间复杂度, 提出了一种基于深度特性的帧间预测快速算法。首先, 对帧间PU(Prediction Unit, PU)模式进行分类为规则和不规则块; 然后运用本文的方式定义当前CTU(Coding Tree Unit, CTU)的内容复杂程度; 最后对编码深度进行分区为SD(Small Depth, SD)、HD(High Depth, HD)区域, 位于SD区只进行规则的划分方式, 位于HD区根据当前CTU的复杂程度, 对复杂块进行不规则划分方式的遍历, 对简单块只进行规则划分, 从而实现快速编码算法。结果表明, 与HM16.9相比, 本文提出的算法在低时延和随机接入配置下分别降低了28.6%和23.8%的编码时间, 且编码性能不受影响。

关键词: 视频编解码, 深度特性, 编码块划分, 帧间预测

Abstract: High-efficiency video coding (High Efficiency Video Coding, HEVC) inter-prediction part has a high computational complexity. In order to reduce the coding time complexity, a fast algorithm for inter-prediction is proposed based on depth characteristics. First, the inter-frame PU (Prediction Unit, PU) mode is classified into regular and irregular blocks; then the method is used to define the content complexity of the current CTU (Coding Tree Unit, CTU); finally, the coded depth is divided into SD and HD regions. The SD region is only divided into rules. According to the complexity of the current CTU, the HD region is used to traverse the complex blocks in an irregular manner, and the simple blocks are divided into rules to achieve a fast encoding algorithm. Experimental results show that compared with HM16.9, the proposed algorithm reduces the encoding time, respectively, by 28.6% and 23.8% under low latency and random access configurations and the encoding performance is unaffected.

Key words: video coding, depth characteristics, coding block division, inter-prediction

中图分类号: 

  • TN919.81
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[1] 黄涛涛, 刘立程, 彭同壮. 基于运动特性的帧间预测模式快速选择算法[J]. 广东工业大学学报, 2020, 37(02): 74-79.
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