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首页> 外文期刊>Signal Processing. Image Communication: A Publication of the the European Association for Signal Processing >Adaptive rate control algorithms for low bit rate video under networks supporting bandwidth renegotiation
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Adaptive rate control algorithms for low bit rate video under networks supporting bandwidth renegotiation

机译:支持带宽重新协商的网络下低比特率视频的自适应速率控制算法

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摘要

This paper presents new adaptive H.263+ rate control algorithms for video streaming and interactive video applications under networks supporting bandwidth renegotiation, which can communicate with end-users to accommodate their time-varying bandwidth requests during the data transmission. That is, the requests of end-users can be supported adaptively according to the availability of the network resources, and thus the overall network utilization can be improved simultaneously. They are especially suitable for the transmission of non-stationary video traffics. The proposed rate control algorithms communicate with the network to renegotiate the required bandwidth for the underlying video which are measured based on the motion change information, and choose their control strategies according to the renegotiation results. Unlike most conventional algorithms that control only the spatial quality by adjusting quantization parameters, the proposed algorithms treat both the spatial and temporal qualities at the same time to enhance human visual perceptual quality. Experimental results are provided to demonstrate that the proposed rate control algorithms can achieve superior performance to the conventional ones with low computational complexity under networks supporting bandwidth renegotiation.
机译:本文为支持带宽重新协商的网络下的视频流和交互式视频应用提供了新的自适应H.263 +速率控制算法,该算法可以与最终用户通信,以适应其在数据传输期间随时间变化的带宽请求。即,可以根据网络资源的可用性来自适应地支持最终用户的请求,从而可以同时提高整体网络利用率。它们特别适合于非固定视频流量的传输。提出的速率控制算法与网络通信以重新协商基于运动变化信息测量的基础视频所需的带宽,并根据重新协商结果选择其控制策略。与大多数传统的通过调整量化参数仅控制空间质量的算法不同,所提出的算法同时处理空间和时间质量,以增强人类的视觉感知质量。实验结果表明,在支持带宽重新协商的网络中,所提出的速率控制算法能够以较低的计算复杂度实现优于传统算法的性能。

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