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Smart trimming of video from edge, for fine-grained adaptive multicast

机译:从边缘智能修剪视频,实现细粒度的自适应多播

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Multimedia contents on the Internet have increased significantly since last couple of years. Most of the existing scalable multi-rate multicast techniques adapt discrete layering strategy. Scalable video encoders generally performs frame rate and resolution quality adaptation. Each receiver joins or leaves additional layers according to the required quality. As each layer is transmitted on a separate multicast group, existing techniques offer group join/leave delay, degradation in QoS, roughness and disruption in user experience. In this paper, we present an overview of multi-rate multicast congestion control techniques and their shortcomings. We propose a single rate technique for adaptive multicast, based on packet trimming concept, according to the requirements of downstream users. The simulation comparison of the proposed scheme with static layering shows promising improvement in terms of user experience as well as network efficiency.
机译:自最近几年以来,Internet上的多媒体内容已显着增加。现有的大多数可伸缩多速率多播技术都采用离散分层策略。可伸缩视频编码器通常执行帧速率和分辨率质量适配。每个接收器根据所需质量加入或离开其他层。由于每个层都是在单独的多播组上传输的,因此现有技术会提供组加入/离开延迟,QoS下降,粗糙度和用户体验中断。在本文中,我们概述了多速率组播拥塞控制技术及其缺点。根据下游用户的需求,我们提出了一种基于包修整概念的单速率自适应组播技术。所提出的方案与静态分层的仿真比较表明,在用户体验以及网络效率方面,有希望的改进。

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