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State-of-the-art VSWR measurement and monitoring of broadcast transmission infrastructure is limited to in-band reflected power and typically incapable of detecting matched arcs. Finding and isolating the source of intermittent arcing and other tricky RF issues has recently become significantly easier.
Streaming, especially Direct-to-Consumer Broadcaster Streaming (e.g., Peacock, ITVX, Joyn, Globoplay), needs TVs to evolve. Modern streaming services are pushing TVs to their natural limits, and Consumers and Streamers are feeling the pain.
Skandha Media Services, a leader in scalable playout services that leverage cloud technology, automation, AI, and machine learning, has launched Evince, a unique AI-based Ad verification tool that offers total peace of mind to live sports streaming platforms and advertising agencies.
We continue our mini-series about Video Quality, with a discussion of how increasing diversity and fragmentation of content origination has opened a new front for Quality Control (QC) and Quality Assurance (QA). Automation, with the help of machine learning, is becoming essential and also extending to content correction through frame interpolation and other techniques.
The more complex and intricate IP networks and cloud infrastructures become, the greater the potential for unwelcome dynamics in the system, and the greater the need for rich, reliable, real-time data about performance and error rates.
Livepeer Studio unveils a revolutionary video streaming platform offering an unprecedented combination of quality and cost-efficiency to content creators, media and entertainment brands, enterprises, houses of worship, and a broader range of sports companies. Livepeer Studio enables providers to step away from using traditional cloud giants and tap into a decentralized network architecture, driving down video transcoding and delivery fees by up to 80 percent.
We’ve all witnessed its phenomenal growth recently. The question is: how do we manage the process of adopting and adjusting to AI in the broadcasting industry? This article is more about our approach than specific examples of AI integration; there’s plenty of time for that later.
Part 10 of The Big Guide To OTT features four articles which tackle the key topic of how to monetize OTT content. The articles discuss addressable advertising, (re)bundling, sports fan engagement and content piracy.