Efficient Online Engagement Analytics Algorithm Toolkit That Can Run on Edge
The rapid expansion of video conferencing and remote works due to the COVID-19 pandemic has resulted in a massive volume of video data to be analyzed in order to understand the audience engagement. However, analyzing this data efficiently, particularly in real-time, poses a scalability challenge as...
Main Authors: | Saw Thiha, Jay Rajasekera |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
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Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/16/2/86 |
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