dVQA: Using Data to Detect Video Quality Issues Economically at Scale
dVQA: Using Data to Detect Video Quality Issues Economically at Scale
Live streaming runs 24/7, necessitating round-the-clock monitoring. However, VQA monitoring is highly resource-intensive. Fortunately, data-driven methods offer a more economic alternative to hardware, drastically reducing costs.
Video Player is loading.
Current Time 0:00
/
Duration 0:00
Loaded: 0%
0:00
Stream Type LIVE
Remaining Time -0:00
1x
Chapters
descriptions off, selected
captions settings, opens captions settings dialog
captions off, selected
This is a modal window.
Beginning of dialog window. Escape will cancel and close the window.
End of dialog window.
This is a modal window. This modal can be closed by pressing the Escape key or activating the close button.
Search by Categories
dVQA: Using Data to Detect Video Quality Issues Economically at Scale
Live streaming runs 24/7, necessitating round-the-clock monitoring. However, VQA monitoring is highly resource-intensive. Fortunately, data-driven methods offer a more economic alternative to hardware, drastically reducing costs.
2941-2950of2991
Can Audience Measurement Catch Up to Catch Up?
Technical Tools to Leverage Social Networks During Live Events
Interconnection First: How it navigates through disruption in the media and entertainment industry
Live Anti-Piracy/Media Compliance: How to protect your content
Capture the Connected Consumer and Power Your Digital Revenue Growth