dVQA: Using Data to Detect Video Quality Issues Economically at Scale
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.
231-240of2873
Protecting the value of software algorithms
The Future of Dubbing: What to expect from AI
Modern media transports: a review
RTVE’s Double Blind Trail of AI-Composed Classical Music
AI4ME: Personalisation Using Object-Based Media at Scale
PRESTOplay for Addressable TV Advertising with next gen “Server-Guided” ad insertion support
Multiple monetisation models for market success
SPORT TV by Magycal: Reshaping the Landscape of Sports OTTs