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Study mode:
on
1
Introduction
2
Trends in Video Analytics
3
Query Pipeline
4
Filtering
5
Key Question
6
Binary Classifiers
7
Pixel Level Differences
8
Reducto
9
Threshold
10
System Design
11
Results
12
Conclusion
13
Questions
14
Updating the Hash Table
15
Using More Resources
16
Moving Cameras
17
Moving Frames
18
Heterogeneous Computing
19
Reducto vs DDS
20
Final Question
Description:
Explore cutting-edge techniques for resource-efficient real-time video analytics in this conference talk from SIGCOMM 2020. Dive into the innovative Reducto system, which employs on-camera filtering to optimize query pipelines and enhance performance. Learn about binary classifiers, pixel-level differences, and threshold-based approaches for efficient video processing. Discover the system design, implementation results, and potential applications of Reducto. Engage with discussions on updating hash tables, utilizing additional resources, handling moving cameras and frames, and leveraging heterogeneous computing. Compare Reducto's capabilities with other systems like DDS and gain insights into the future of video analytics technology.

SIGCOMM 2020 - Reducto - On-Camera Filtering for Resource-Efficient Real-Time Video Analytics

Association for Computing Machinery (ACM)
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