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Error Resilient Video Coding Using Redundant Pictures

机译:使用冗余图片的错误弹性视频编码

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This paper presents several error resilient video coding methods based on redundant pictures. We combine redundant picture coding with reference picture selection and reference picture list reordering to prevent error propagation in motion compensated video coding. A hierarchical redundant picture allocation method is employed to make a tradeoff between error resilience and coding efficiency. For improved end-to-end rate-distortion performance in packet loss environment, three adaptive redundant picture allocation methods are further developed, utilizing characteristics of the input video content. Simulation results show that the adaptive redundant picture coding methods can achieve average luma peak-signal-to-noise improvements up to 3.5 dB compared to the loss-aware rate distortion optimized intra macroblock refresh algorithm implemented in the H.264/AVC Joint Model (JM). The proposed redundant picture coding methods are standard-compliant and do not introduce any additional end-to-end delay, therefore suit for low-delay applications such as video telephony and video conferencing. Due to the good error resilience performance, some of the proposed redundant picture coding methods have been adopted and integrated into the JM.
机译:本文提出了几种基于冗余图片的容错视频编码方法。我们将冗余图片编码与参考图片选择和参考图片列表重新排序相结合,以防止运动补偿视频编码中的错误传播。采用分级冗余图像分配方法来在容错能力和编码效率之间进行权衡。为了改善丢包环境下的端到端速率失真性能,利用输入视频内容的特性进一步开发了三种自适应冗余图片分配方法。仿真结果表明,与在H.264 / AVC联合模型中实现的损耗感知速率失真优化的帧内宏块刷新算法相比,自适应冗余图片编码方法可实现平均亮度峰值信噪比改善高达3.5 dB( JM)。所提出的冗余图片编码方法符合标准,并且不会引入任何额外的端到端延迟,因此适用于低延迟应用,例如视频电话和视频会议。由于良好的错误复原能力,一些建议的冗余图片编码方法已被采用并集成到JM中。

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