Real-Time Video Analytics: The Killer App for Edge Computing
Real-Time Video Analytics: The Killer App for Edge Computing
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DOI：
10.1109/mc.2017.3641638
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发表时间：
2017-10-01
期刊：
影响因子：
2.2
通讯作者：
Sinha, Sudipta
中科院分区：
文献类型：
--
作者：
Ananthanarayanan, Ganesh;Bahl, Paramvir;Sinha, Sudipta
视频分析将推动广泛的应用，具有巨大的社会影响潜力。公共云和边缘的地理分布式架构向下延伸到摄像机，是满足大规模实时视频分析严格实时要求的唯一可行方法。
Video analytics will drive a wide range of applications with great potential to impact society. A geographically distributed architecture of public clouds and edges that extend down to the cameras is the only feasible approach to meeting the strict real-time requirements of large-scale live video analytics.