Novel 3D-WPP algorithms for parallel HEVC encoding
Ziyu Wen, Bichuan Quo, Jiashuo Liu, Jisheng Li, Yao Lu, Jiangtao Wen
Abstract
Although wavefront parallel processing (WPP) proposed in the HEVC standard and various inter frame WPP algorithms can achieve comparatively high parallelism, their scalability for its parallelism is still very limited due to various dependencies introduced in spatial and temporal prediction in HEVC. In this paper, we propose three types of 3 Dimensional WPP (3D-WPP) algorithms that can significantly improve the parallelism, while achieving good tradeoffs between implementation complexity, determinism, and rate-distortion (RD) performance. Experimental results show that the proposed algorithms can lead to up to 2.8 × speed up compared with existing inter frame WPP methods. While the Simple 3D-WPP and Static 3D-, WPP algorithm may introduce an BD rate loss between 0 to 4.9% as compared with existing algorithms, the more complex Dynamic 3D-WPP algorithm achieves better parallelism with virtually no coding performance loss.
BibTeX
@inproceedings{icassp2016_novel3dwppalgori,
title = {Novel 3D-WPP algorithms for parallel HEVC encoding},
author = {Ziyu Wen and Bichuan Quo and Jiashuo Liu and Jisheng Li and Yao Lu and Jiangtao Wen},
booktitle = {ICASSP 2016},
year = {2016}
}