Subjective-Driven Complexity Control Approach for HEVC

Subjective-Driven Complexity Control Approach for HEVC
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HEVC 的主观驱动复杂性控制方法

DOI:
10.1109/tcsvt.2015.2474075
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发表时间:
2016
影响因子:
8.4
通讯作者:
Zulin Wang
Zulin Wang
中科院分区:
工程技术1区
文献类型:
--
作者:
Xin Deng;Mai Xu;Lai Jiang;Xiaoyan Sun;Zulin Wang

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最新的高效率视频编码(HEVC)标准与先前的H. 264/高级视频编码(AVC)标准相比显著增加了编码复杂度以提高其编码效率。在本文中,我们提出了一种新的主观驱动的复杂度控制(SCC)方法来降低和控制HEVC的编码复杂度。通过合理调整每个最大编码单元(LCU)的最大深度,可以在最小视觉失真的情况下将编码复杂度降低到目标水平。具体地,不同LCU的最大深度可以通过求解所提出的复杂度控制的优化公式来改变,基于两个探索的关系:1)最大深度和编码复杂度之间的关系,以及2)最大深度和视觉失真之间的关系。此外,主观视觉质量的青睐与一个新的主观驱动的约束施加在制定,视觉注意力模型的基础上。最后,实验结果表明,我们的方法可以实现广泛的编码复杂度控制(低至20%)的HEVC,与最小的复杂度偏差为0.2%。同时,我们的SCC方法优于其他两个国家的最先进的复杂度控制方法,在控制精度和视觉质量。
The latest High Efficiency Video Coding (HEVC) standard significantly increases the encoding complexity for improving its coding efficiency, compared with the preceding H.264/Advanced Video Coding (AVC) standard. In this paper, we present a novel subjective-driven complexity control (SCC) approach to reduce and control the encoding complexity of HEVC. Through reasonably adjusting the maximum depth of each largest coding unit (LCU), the encoding complexity can be reduced to a target level with minimal visual distortion. Specifically, the maximum depths of different LCUs can be varied through solving the proposed optimization formulation of complexity control, based on two explored relationships: 1) the relationship between the maximum depth and encoding complexity and 2) the relationship between the maximum depth and visual distortion. Besides, the subjective visual quality is favored with a novel subjective-driven constraint imposed in the formulation, on the basis of a visual attention model. Finally, the experimental results show that our approach can achieve a wide range of encoding complexity control (as low as 20%) for HEVC, with the smallest complexity bias being 0.2%. Meanwhile, our SCC approach outperforms other two state-of-the-art complexity control approaches, in terms of both control accuracy and visual quality.
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