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.
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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.
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IBC2018 Conference: Opening a world of innovation with the visual Cloud
2018: Future Trends Theatre: Muriel le Bellac (Videomenthe)