dVQA: Using Data to Detect Video Quality Issues Economically at Scale
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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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Keynote: At the intersection of AI and creativity: Why the future lies in Human-Machine Collaboration
Accelerator session - Connecting Live Performances of the Future with ULL-AVLM
Combating Disinformation in News: A critical year for democracies - Highlight A
Combating Disinformation in News: A critical year for democracies - Highlight B
Beyond Content Creation: Revolutionising media and entertainment with generative AI
Global streaming power: How Sky and NBCUniversal stream large-scale live events
Global streaming power: How Sky and NBCUniversal stream large-scale live events - Highlight A
Provenance – what can we trust?
Accelerator session - Scalable Ultra-Low Latency Streaming for Premium Sports