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	An Adaptive Intra-Frame Parallel Method based on Complexity Estimation for HEVC
	Xu, Peng ; Chen, Keji ; Sun, Jun ; Ji, Xiangyang ; Guo, Zongming
	2016
关键词	HEVC Encoder Intra-frame Adaptation Computational Complexity Balancing Parallelism
英文摘要	Parallelization is an efficient solution for addressing the increased computational complexity in High Efficiency Video Coding (HEVC). To improve the intra-frame parallelism, an adaptive parallel method is proposed based on an encoding complexity model for HEVC. First, by establishing the relationship between encoding complexity and Rate Distortion Optimization (RDO) process, the encoding complexity is measured by the merge skip modes and coding unit partition statistics. Then a greedy algorithm is proposed to partition each frame into several independent regions for parallelism, and the encoding complexity of each region is precisely controlled to achieve computational complexity balancing for better parallelism. Extensive experimental results show that the proposed method can achieve up to 3.34x speedup against wave front parallel processing (WPP), and 1.19x speedup against tiles with acceptable encoding efficiency loss for low delay video encoding.; National Key Technology R&D program of China [2015AA011605]; National Natural Science Foundation of China [61271020]; CPCI-S(ISTP); xupeng@pku.edu.cn; chenkeji@pku.edu.cn; jsun@pku.edu.cn; xyji@tsinghua.edu.cn; guozongming@pku.edu.cn
语种	英语
出处	30th IEEE Conference on Visual Communications and Image Processing (VCIP)
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/459686]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Xu, Peng,Chen, Keji,Sun, Jun,et al. An Adaptive Intra-Frame Parallel Method based on Complexity Estimation for HEVC. 2016-01-01.

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