Real-Time Video Analytics: The Killer App for Edge Computing

Real-Time Video Analytics: The Killer App for Edge Computing

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 an...

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Bibliographic Details
Published in:Computer (Long Beach, Calif.) Vol. 50; no. 10; pp. 58 - 67
Main Authors: Ananthanarayanan, Ganesh, Bahl, Paramvir, Bodik, Peter, Chintalapudi, Krishna, Philipose, Matthai, Ravindranath, Lenin, Sinha, Sudipta
Format: Journal Article
Language:English
Published: New York IEEE 2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Automobiles
Bandwidth
camera networks
Cameras
Cloud computing
Computing time
Edge computing
Geographical distribution
intelligent edge
latency
Mathematical analysis
provisioning
Real time
real-time video analytics
smart cameras
Streaming media
Surveillance
Video analytics
Online Access:Get full text
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Description
Summary: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.
ISSN:0018-9162
1558-0814
DOI:10.1109/MC.2017.3641638