Adaptive Quantization Parameter Selection For H.265/HEVC by Employing Inter-Frame Dependency

Adaptive Quantization Parameter Selection For H.265/HEVC by Employing Inter-Frame Dependency
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利用帧间依赖性的 H.265/HEVC 自适应量化参数选择

DOI:
10.1109/tcsvt.2017.2751519
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发表时间:
2018-12
影响因子:
8.4
通讯作者:
Yang Kehu
Yang Kehu
中科院分区:
工程技术1区
文献类型:
--
作者:
He Jing;Yang En-Hui;Yang Fuzheng;Yang Kehu

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率失真优化(RDO)是视频编码中广泛应用的一种方法,其目标是在目标比特率下使编码失真最小化。常规地,对每个单独的帧独立地执行RDO以避免高计算复杂度。然而,时间/空间预测的广泛使用导致相邻帧之间的强编码依赖性,这使得当前RDO被非最优地使用。为了进一步提高视频编码性能,期望在一组相邻帧之间执行全局RDO,同时保持近似相同的编码复杂度。本文通过联合确定一组相邻帧的量化参数(QP)来研究全局RDO问题。265/HEVC随机访问编码中,提出了一种考虑帧间依赖性的自适应帧级QP选择算法。为了度量帧间相关性,首先建立基于预测残差能量的模型。在此基础上,分析了H.265/HEVC分层编码结构下的全局RDO问题。最后,QP和相应的拉格朗日乘子为每个编码帧自适应地确定通过考虑其编码失真的总影响,在编码顺序的未来帧。实验结果表明,与HM-16.0相比,该算法平均降低了3.49%的BD率,而编码时间的增加可以忽略不计。此外,该算法的编码视频的质量波动低于HM-16.0。
Rate-distortion optimization (RDO) is widely applied in video coding, which aims at minimizing the coding distortion at a target bitrate. Conventionally, RDO is performed independently on each individual frame to avoid high computational complexity. However, extensive use of temporal/spatial predictions result in strong coding dependencies among neighboring frames, which make the current RDO be non-optimally used. To further improve video coding performance, it would be desirable to perform global RDO among a group of neighboring frames while maintaining approximately the same coding complexity. In this paper, the problem of global RDO is studied by jointly determining the quantization parameters (QPs) for a group of neighboring frames. Specifically, an adaptive frame-level QP selection algorithm is proposed for the H.265/HEVC random access coding by taking into account the inter-frame dependency. To measure the inter-frame dependency, a model based on the energy of prediction residuals is first established. With the help of the model, the problem of global RDO is then analyzed for the hierarchical coding structure in H.265/HEVC. Finally, the QP and the corresponding Lagrangian multiplier for each coding frame are determined adaptively by considering the total impact of its coding distortion on that of future frames in the encoding order. Experimental results show that in comparison with HM-16.0, the proposed algorithm reduces, on average, the BD-rate by 3.49% with negligible increase of encoding time. In addition, the quality fluctuation of the coded video by the proposed algorithm is lower than that by HM-16.0.
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