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CTCV: A protocol for Coordinated Transport of Correlated Video in Smart Camera Networks

机译:CTCV:智能摄像机网络中相关视频的协调运输协议

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Smart camera networks (SCNs) are increasingly used in applications such as homeland security, border control and traffic monitoring. The cameras are often wireless with an organically growing structure, to reduce the overhead of deployment. We frame a new and important problem in SCNs: how to transmit videos from multiple cameras with overlapping coverage given the limited available wireless bandwidth to maximize the quality of the received videos. We call this problem Coordinated Transport of Correlated Videos (CTCV). CTCV is a more general version of 3D video transport: in that problem, highly correlated videos from two cameras (that provide the 3D perspective) are jointly encoded exploiting their pre-defined and known overlap. In contrast, in CTCV there is an arbitrary number of cameras whose overlap is not known apriori and that require transmission as multiple video streams. To effectively support CTCV, we propose a video delivery protocol that consists of two primary components: (1) Consolidation of correlated videos from multiple cameras which removes spatially redundant fields-of-view; and (2) Network and coverage aware bandwidth allocation to optimize coverage quality cooperatively among the different video streams to match the available bandwidth. We formulate the problem of optimal bandwidth allocation for maximizing coverage. We propose and investigate different heuristic policies for bandwidth allocation. We evaluate CTCV using data from a small camera testbed as well as topologies from realistic deployments. Experiments show that CTCV achieves around 10 dB gains in video quality in the scenarios we consider.
机译:智能摄像机网络(SCNS)越来越多地用于国土安全,边界控制和流量监控等应用中。摄像机通常是具有有机种植结构的无线,以减少部署的开销。我们在SCNS中框架一个新的和重要问题:如何使用重叠的覆盖范围来传输来自多个摄像机的视频,这给出了有限的可用无线带宽来最大化接收视频的质量。我们称之为相关视频(CTCV)的协调运输。 CTCV是一个更普遍的3D视频传输版本:在该问题中,来自两个摄像机的高度相关视频(提供3D透视图)是共同编码利用其预定义和已知的重叠的开发。相反,在CTCV中,有一个任意数量的相机,其重叠不是已知的APRiorI并且需要传输作为多个视频流。为了有效地支持CTCV,我们提出了一种视频传送协议,包括两个主要组件:(1)从多个摄像机的相关视频巩固,该传输体会删除空间冗余的视野; (2)网络和覆盖意识带宽分配,以优化不同视频流中的覆盖质量,以匹配可用带宽。我们制定最佳带宽分配的问题,以便最大化覆盖范围。我们提出并调查了带宽分配的不同启发式政策。我们使用来自旧摄像机的数据以及从逼真部署的拓扑进行拓扑来评估CTCV。实验表明,CTCV在我们考虑的情景中实现了视频质量的大约10 dB的增长。

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