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1. 红河学院工学院,云南 蒙自 661100
2. 电子科技大学信息与通信工程学院,四川 成都 611731
3. 重庆邮电大学通信与信息工程学院,重庆 400065
4. 成都师范学院物理与工程技术学院,四川 成都 611130
[ "郭红伟(1980- ),男,彝族,云南金平人,博士,红河学院教授、电子科技大学在站博士后,主要研究方向为视频编码与通信" ]
[ "朱策(1969- ),男,四川自贡人,博士,电子科技大学教授、博士生导师,主要研究方向为视频编码与通信、视频分析和处理" ]
[ "杨栩(1983- ),男,四川苍溪人,重庆邮电大学博士生、成都师范学院讲师,主要研究方向为全景视频编码与通信" ]
[ "罗雷(1986- ),男,重庆人,博士,重庆邮电大学副教授、电子科技大学在站博士后,主要研究方向为视频编码与通信" ]
网络出版日期:2022-12,
纸质出版日期:2022-12-25
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郭红伟, 朱策, 杨栩, 等. 基于失真反向传播的时域依赖率失真优化[J]. 通信学报, 2022,43(12):222-232.
Hongwei GUO, Ce ZHU, Xu YANG, et al. Temporal dependent rate-distortion optimization based on distortion backward propagation[J]. Journal on communications, 2022, 43(12): 222-232.
郭红伟, 朱策, 杨栩, 等. 基于失真反向传播的时域依赖率失真优化[J]. 通信学报, 2022,43(12):222-232. DOI: 10.11959/j.issn.1000-436x.2022230.
Hongwei GUO, Ce ZHU, Xu YANG, et al. Temporal dependent rate-distortion optimization based on distortion backward propagation[J]. Journal on communications, 2022, 43(12): 222-232. DOI: 10.11959/j.issn.1000-436x.2022230.
率失真优化是基于块的混合视频编码器中一项关键技术,然而广泛采用的独立率失真优化远未取得最优编码性能。为提升高效视频编码的率失真性能,提出了一种时域依赖率失真优化算法。首先,采用指数形式率失真函数,推导出时域失真传播因子的计算式;然后,通过预编码获得编码失真和运动补偿预测误差,并采用失真反向传播估算时域失真传播因子;最后,自适应地调节编码树单元的拉格朗日乘子和量化参数,以优化编码比特资源分配。实验结果显示,在低时延编码配置下,相比于高效视频编码的率失真优化算法,所提算法在获得同等重建视频质量的前提下,将所有测试视频码率平均节省4.4%,BasketballDrill序列码率最高节省13.0%。
Rate-distortion optimization (RDO) is a crucial technique in block based hybrid video encoders.However
the widely used independent RDO is far from obtaining optimal coding performance.To improve the rate-distortion (R-D) performance of high efficiency video coding (HEVC)
a temporal dependent RDO algorithm was proposed.Firstly
the formula to calculate temporal distortion propagation factor was derived by using an exponential R-D function.Then
the coding distortion and motion compensation predicted error were obtained by pre-encoding
and the temporal distortion propagation factor was estimated by using distortion backward propagation.Finally
the Lagrange multiplier and quantization parameter of coding tree unit were adaptively adjusted to optimize bit resources allocation.Experimental results show that compared with the original RDO method in HEVC under the low-delay configuration
the proposed algorithm achieves an average 4.4% bit rate reduction for all test sequences
and up to 13.0% bit rate reduction for test sequence BasketballDrill
at the same reconstructed video quality.
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