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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. Touchstream’s dVQA leverages existing data from Touchstream’s ABR monitoring, employing a machine learning approach to predict potential VQ issues. vvvv
IBC2025 HIGHLIGHTS
INTERVIEWS
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IBC Revisited – Evan Shapiro on the future of TV – Part 4: "What job in professional media is safe?"
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IBC Revisited – Evan Shapiro on the future of TV – Part 3: "Too often decisions are made by fear or by the CFO"
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IBC Revisited – Evan Shapiro on the future of TV – Part 2: "I'm back. I’m without cancer. How's media doing?"
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IBC Revisited – Evan Shapiro on the future of TV – Part 1: "Why do you get to mandate what’s premium?"
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YouTube’s Justine Ryst: “Come in the spaceship and reinvent the way we think about content”
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AI – Tutorial, Ep 2 – The AI Implementation Compass: Going from innovation to transformation
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