1. 西安邮电大学通信与信息工程学院,西安,710121
2. 西安邮电大学电子信息现场勘验应用技术公安部重点实验室,西安,710121
网络首发:2021-03-10,
纸质出版:2021
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公衍超 1, 吕显龙 1, 杨楷芳 3, 等. 考虑全帧间参考依赖性的监控视频高效视频编码码率控制算法[J]. 西安交通大学学报, 2021,55(3):72-80.
Rate Control for High Efficiency Video Coding Coded Surveillance Videos Considering All of the Inter-Frame Reference Dependency[J]. 2021, 55(3): 72-80.
公衍超 1, 吕显龙 1, 杨楷芳 3, 等. 考虑全帧间参考依赖性的监控视频高效视频编码码率控制算法[J]. 西安交通大学学报, 2021,55(3):72-80. DOI: 10.7652/xjtuxb202103009.
Rate Control for High Efficiency Video Coding Coded Surveillance Videos Considering All of the Inter-Frame Reference Dependency[J]. 2021, 55(3): 72-80. DOI: 10.7652/xjtuxb202103009.
针对高效视频编码(HEVC)标准中的码率控制算法在计算目标码率分配权重时未考虑帧间参考依赖性、编码效率低的问题
提出了一种面向监控视频考虑全帧间参考依赖性的HEVC图像级码率控制算法。调研了HEVC低时延结构中编码帧与其所有帧间参考帧之间的参考依赖关系
在此基础上构建了适用于监控视频的考虑全帧间参考依赖性的失真模型。利用构建的失真模型
基于拉格朗日率失真优化理论
建立了拉格朗日率失真代价函数。求解此代价函数
获得每幅图像对应的优化的目标码率分配权重
提出了适用于监控视频的图像级码率控制算法。实验结果表明
与HEVC测试模型HM中使用的平均比率目标码率分配权重的码率控制算法相比
所提算法可以获得更加准确的码率估计
并且所提算法的德尔塔码率(ΔR)可平均降低9.54%。
To solve the problems that rate control in high efficiency video coding(HEVC)standard does not consider the inter-frame reference dependency when calculating the target bitrate allocation weight
and the coding efficiency is low
a picture level rate control method considering all of the inter-frame reference dependency for HEVC coded surveillance videos is proposed. A new distortion model for surveillance video is constructed following the investigation of the reference dependency between the coding frame and all of its referenced inter-frames in the low-delay structure of HEVC. Adopting the Lagrangian rate-distortion(R-D)optimization theory
the Lagrangian R-D cost function is established according to the constructed distortion model. The optimized bit allocation weights for pictures are solved from the R-D cost function
and a picture level rate control algorithm for surveillance videos is obtained. Compared with the rate control algorithm in HEVC test model using equal target bitrate allocation weights
the proposed algorithm achieves a more accurate bitrate estimation. Moreover
the Bjøntegaard delta-rate(ΔR)of the proposed algorithm can be reduced by 9.54% on average.
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马明阳,梅少辉,万帅.采用非线性块稀疏字典选择的视频总结.2019,53(5):142-148.[doi:10.7652/xjtuxb201905019]
李维,任鹏,赵凡,等.高效视频编码中帧内码率控制改进算法.2019,53(4):79-84.[doi:10.7652/xjtuxb201904012]
袁帅,秦贵和,晏婕.应用残差生成对抗网络的路况视频帧预测模型.2018,52(10):146-152.[doi:10.7652/xjtuxb201810 020]
赵敏,张为,王鑫,等.时空背景模型下结合多种纹理特征的烟雾检测.2018,52(8):67-73.[doi:10.7652/xjtuxb201808 011]
王晓芳,齐春.一种运用显著性检测的行为识别方法.2018,52(2):024-29.[doi:10.7652/xjtuxb201802004]
杨源,库涛,查宇飞,等.快速多特征金字塔的尺度目标跟踪方法.2016,50(10):49-56.[doi:10.7652/xjtuxb201610008]
张泰,张为,刘艳艳.周界视频监控中人员翻越行为检测算法.2016,50(6):47-53.[doi:10.7652/xjtuxb201606008]
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