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1
Introduction
2
Video Streaming for Analytics
3
RealTime Camera Set Heuristics
4
ServerDriven Video Streaming
5
Demo
6
Object Detection
7
Experimental Results
8
Conclusion
9
Questions
10
Overhead
11
QA
Description:
Explore server-driven video streaming techniques for deep learning inference in this conference talk from SIGCOMM 2020. Delve into the intricacies of video streaming for analytics, real-time camera set heuristics, and server-driven approaches. Witness a demonstration of object detection and examine experimental results that showcase the effectiveness of these methods. Gain insights into the potential overhead and participate in a Q&A session to further understand the implications of this innovative approach to video streaming for deep learning applications.

SIGCOMM 2020 - Server-Driven Video Streaming for Deep Learning Inference

Association for Computing Machinery (ACM)
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