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Rate-Distortion Control with Delay Bound Constraint for Video Streaming over Multi-Hop Networks

机译:具有多跳网络延迟流约束的速率失真控制

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We develop a relatively accurate and robust R-D control algorithm in the H.264/AVC to achieve the target bit rate. More specifically, we first present an efficient bandwidth resource allocation framework to obtain a relatively accurate bandwidth resource allocation as bit rate budget, which is based on a proposed multi-hop packet delay bound violation model to predict the packet loss probability. With this widely-used offline-training-online-estimation mechanism, the proposed model is potentially applicable to almost all network conditions and can provide fairly accurate estimation results as compared with other models with a given sample data set. Once the channel bandwidth has been allocated to each video program and the target bit rate for each video frame is determined, and then, we introduce the concept of low-pass filtering of R-D functions and develop a smoothed rate control (SRC) framework for video recording and streaming. The extensive simulations demonstrate the SRC algorithm is effective and the proposed SRC algorithm has very low computational complexity and implementation cost.
机译:我们在H.264 / AVC中开发了一种相对准确且健壮的R-D控制算法,以实现目标比特率。更具体地说,我们首先提出一种有效的带宽资源分配框架,以获取相对准确的带宽资源分配作为比特率预算,该框架基于提出的多跳数据包延迟限制违规模型来预测数据包丢失概率。通过这种广泛使用的离线培训在线估计机制,与具有给定样本数据集的其他模型相比,该模型可能适用于几乎所有网络条件,并且可以提供相当准确的估计结果。在为每个视频节目分配了通道带宽并确定了每个视频帧的目标比特率之后,我们将介绍RD函数的低通滤波概念,并为视频开发一个平滑的速率控制(SRC)框架录制和流式传输。大量的仿真证明了SRC算法是有效的,并且所提出的SRC算法具有非常低的计算复杂度和实现成本。

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