research-article

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

Authors:

Ganesh Ananthanarayanan,

Paramvir Bahl,

Peter Bodík,

Krishna Chintalapudi,

Matthai Philipose,

Lenin Ravindranath,

Sudipta SinhaAuthors Info & Claims

Computer, Volume 50, Issue 10

Pages 58 - 67

https://doi.org/10.1109/MC.2017.3641638

Published: 01 January 2017 Publication History

Abstract

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.

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Cited By

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Rong CWang JWang JZhou YZhang J(2024)Live Migration of Video Analytics Applications in Edge ComputingIEEE Transactions on Mobile Computing10.1109/TMC.2023.324653923:3(2078-2092)Online publication date: 1-Mar-2024
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Chen SXu JWu Q(2024)Enhancement of edge-based surveillance videos based on bilateral filteringComputer Communications10.1016/j.comcom.2024.01.031219:C(19-28)Online publication date: 2-Jul-2024
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Published In

Computer Volume 50, Issue 10

2017

98 pages

ISSN:0018-9162

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IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 01 January 2017

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Rong CWang JWang JZhou YZhang J(2024)Live Migration of Video Analytics Applications in Edge ComputingIEEE Transactions on Mobile Computing10.1109/TMC.2023.324653923:3(2078-2092)Online publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1109/TMC.2023.3246539
Zhang ZGao ZGuo YGong Y(2024)Scalable and Low-Latency Federated Learning With Cooperative Mobile Edge NetworkingIEEE Transactions on Mobile Computing10.1109/TMC.2022.321683723:1(812-822)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TMC.2022.3216837
Chen SXu JWu Q(2024)Enhancement of edge-based surveillance videos based on bilateral filteringComputer Communications10.1016/j.comcom.2024.01.031219:C(19-28)Online publication date: 2-Jul-2024
https://dl.acm.org/doi/10.1016/j.comcom.2024.01.031
Nigade VBauszat PBal HWang L(2024)Inference serving with end-to-end latency SLOs over dynamic edge networksReal-Time Systems10.1007/s11241-024-09418-460:2(239-290)Online publication date: 1-Jun-2024
https://dl.acm.org/doi/10.1007/s11241-024-09418-4
Zhang EDaum MHe DHaynes BKrishna RBalazinska M(2023)EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User InteractionsProceedings of the VLDB Endowment10.14778/3611479.361148216:11(2714-2727)Online publication date: 1-Jul-2023
https://dl.acm.org/doi/10.14778/3611479.3611482
Miao WZeng ZHuang JLi SXia YBi SWang X(2023)Data Exchange Mechanism for Real-Time Object Detection in Cloud-Edge IoT SystemWireless Communications & Mobile Computing10.1155/2023/38427382023Online publication date: 1-Jan-2023
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Rezaei YKhan TLee SMossé D(2023)Solar-powered Parking Analytics System Using Deep Reinforcement LearningACM Transactions on Sensor Networks10.1145/358494919:4(1-27)Online publication date: 21-Feb-2023
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Kong YYang PCheng YEl Saddik AMei TCucchiara RBertini MTobon Vallejo DAtrey PHossain M(2023)Edge-Assisted On-Device Model Update for Video Analytics in Adverse EnvironmentsProceedings of the 31st ACM International Conference on Multimedia10.1145/3581783.3612585(9051-9060)Online publication date: 26-Oct-2023
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Liu SLi XZhou ZGuo BZhang MShen HYu Z(2023)AdaEnlightProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35694646:4(1-26)Online publication date: 11-Jan-2023
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Paul SDrolia UHu YChakradhar S(2023)AQuA: A New Image Quality Metric for Optimizing Video Analytics SystemsACM Transactions on Embedded Computing Systems10.1145/356842322:4(1-29)Online publication date: 24-Jul-2023
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Cited By

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Video Analytics - Killer App for Edge Computing

A Serverless Real-Time Data Analytics Platform for Edge Computing

Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data

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