Novel 3D-WPP algorithms for parallel HEVC encoding

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....

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Published inProceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) pp. 1471 - 1475
Main Authors Wen, Ziyu, Quo, Bichuan, Liu, Jiashuo, Li, Jisheng, Lu, Yao, Wen, Jiangtao
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 01.03.2016
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ISSN2379-190X
DOI10.1109/ICASSP.2016.7471921

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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.
AbstractList 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.
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.
Author Ziyu Wen
Jisheng Li
Bichuan Quo
Jiashuo Liu
Yao Lu
Jiangtao Wen
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Snippet Although wavefront parallel processing (WPP) proposed in the HEVC standard and various inter frame WPP algorithms can achieve comparatively high parallelism,...
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SubjectTerms 3D-WPP
Algorithms
Conferences
Decoding
Delays
Electronics
Encoding
Frames
Heuristic algorithms
HEVC
Parallel processing
Prediction algorithms
Scalability
Speech
Three dimensional
Wave fronts
Wavefront Parallel Processing
Title Novel 3D-WPP algorithms for parallel HEVC encoding
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