Live Video Analytics at Scale with Approximation and Delay-Tolerance

@inproceedings{Zhang2017LiveVA,
  title={Live Video Analytics at Scale with Approximation and Delay-Tolerance},
  author={Haoyu Zhang and Ganesh Ananthanarayanan and Peter Bod{\'i}k and Matthai Philipose and Paramvir Bahl and Michael J. Freedman},
  booktitle={NSDI},
  year={2017}
}
Video cameras are pervasively deployed for security and smart city scenarios, with millions of them in large cities worldwide. Achieving the potential of these cameras requires efficiently analyzing the live videos in realtime. We describe VideoStorm, a video analytics system that processes thousands of video analytics queries on live video streams over large clusters. Given the high costs of vision processing, resource management is crucial. We consider two key characteristics of video… CONTINUE READING

Figures, Tables, Results, and Topics from this paper.

Key Quantitative Results

  • Deployment on an Azure cluster of 101 machines shows improvement by as much as 80% in quality of real-world queries and 7× better lag, processing video from operational traffic cameras.

Citations

Publications citing this paper.
SHOWING 1-10 OF 53 CITATIONS, ESTIMATED 34% COVERAGE

Adapting Swarm Applications: A Systematic and Quantitative Approach

VIEW 4 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Mainstream: Dynamic Stem-Sharing for Multi-Tenant Video Processing

  • USENIX Annual Technical Conference
  • 2018
VIEW 4 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

VideoEdge: Processing Camera Streams using Hierarchical Clusters

  • 2018 IEEE/ACM Symposium on Edge Computing (SEC)
  • 2018
VIEW 6 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

LightDB: A DBMS for Virtual Reality Video

VIEW 4 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

2017
2019

CITATION STATISTICS

  • 12 Highly Influenced Citations

  • Averaged 21 Citations per year over the last 3 years

  • 62% Increase in citations per year in 2018 over 2017

References

Publications referenced by this paper.
SHOWING 1-10 OF 73 REFERENCES

Information Retrieval

  • Encyclopedia of GIS
  • 1979
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Learning Multi-domain Convolutional Neural Networks for Visual Tracking

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2016
VIEW 1 EXCERPT

Similar Papers

Loading similar papers…