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Issue No. 10 - October (2017 vol. 50)
ISSN: 0018-9162
pp: 58-67
Ganesh Ananthanarayanan , Microsoft Research
Paramvir Bahl , Microsoft Research
Peter Bodik , Microsoft Research
Krishna Chintalapudi , Microsoft Research
Matthai Philipose , Microsoft Research
Lenin Ravindranath , Microsoft Research
Sudipta Sinha , Microsoft Research
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.
Cameras, Streaming media, Cloud computing, Video analytics, Automobiles, Bandwidth, Surveillance

G. Ananthanarayanan et al., "Real-Time Video Analytics: The Killer App for Edge Computing," in Computer, vol. 50, no. 10, pp. 58-67, 2017.
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