基于率失真代价的SCC帧间快速算法

doi:10.19678/j.issn.1000-3428.0052795

计算机工程 ›› 2019, Vol. 45 ›› Issue (8): 236-240. doi: 10.19678/j.issn.1000-3428.0052795

基于率失真代价的SCC帧间快速算法

张盛峰^a,b, 肖傲^a,b, 黄胜^a,b

重庆邮电大学 a. 通信与信息工程学院;b. 光通信与网络重点实验室, 重庆 400065

收稿日期:2018-10-03 修回日期:2018-11-29 出版日期:2019-08-15 发布日期:2019-08-08
作者简介:张盛峰(1977-),男,副教授,主研方向为视频编码、光网络、内容中心网络;肖傲,硕士研究生;黄胜,教授。
基金资助:
国家自然科学基金（61371096，61571072）。

Fast SCC Inter-Frame Algorithm Based on Rate-distortion Cost

ZHANG Shengfeng^a,b, XIAO Ao^a,b, HUANG Sheng^a,b

a. School of Communication and Information Engineering;b. Chongqing Key Laboratory of Optical Communications and Networking, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Received:2018-10-03 Revised:2018-11-29 Online:2019-08-15 Published:2019-08-08

摘要/Abstract

摘要： 为降低屏幕内容编码的计算复杂度，提出一种针对编码单元（CU）划分和预测单元（PU）模式选择的快速算法。根据时空域相邻CU的深度信息及平均率失真代价，对CU划分进行早期决策。依据merge模式的率失真代价均值，终止PU模式的选择过程。实验结果表明，与SCM6.0相比，该算法在平均码率仅增加1.59%的情况下，编码时间节省了35.4%，有效降低了编码的计算复杂度。

关键词: 屏幕内容编码, 帧间快速算法, 率失真代价, 快速划分, 预测模式选择

Abstract: In order to reduce the computational complexity of Screen Content Coding(SCC),a fast algorithm for Coding Unit(CU) partitioning and Prediction Unit(PU) mode selection process is proposed.According to the depth information of the adjacent CU in the space-time domain and the average rate distortion cost,early determination is made for CU partition.The PU mode selection process is terminated based on the rate distortion cost means of the merge mode.Experimental results show that compared with SCM6.0,the algorithm saves 35.4% of the coding time when the average bit rate is only increased by 1.59%,which effectively reduces the computational complexity of the coding.

Key words: Screen Content Coding(SCC), inter-frame fast algorithm, Rate Distortion(RD) cost, fast partitioning, prediction mode selection

中图分类号:

TP399

张盛峰, 肖傲, 黄胜. 基于率失真代价的SCC帧间快速算法[J]. 计算机工程, 2019, 45(8): 236-240.

ZHANG Shengfeng, XIAO Ao, HUANG Sheng. Fast SCC Inter-Frame Algorithm Based on Rate-distortion Cost[J]. Computer Engineering, 2019, 45(8): 236-240.

https://www.ecice06.com/CN/Y2019/V45/I8/236

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