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For a serious discussion about “making streaming broadcast-grade” we must address latency. Our benchmark is 5-seconds from encoder input to device, but we cannot compromise on quality. It’s not easy, and leaders in the field grapple with the trade-offs to ensure the best possible customer experience.
Machine Learning is generating a great deal of interest in the broadcast industry, and in this short series we cut through the marketing hype and discover what ML is, and what it isn’t, with particular emphasis on neural networks (NNs).
Cloud native processing has become a real opportunity for broadcasters in recent years as the latencies, processing speeds, and storage capacities have not only met broadcast requirements, but have even surpassed them.
Open Caching is still relatively young. In fact, it is about 10 years younger than the first major introductions of D2C Broadcaster services like BBC iPlayer.
We begin this mini series with some history, the basic principles of Master Control and the evolution of centralcasting.
As IT and broadcast infrastructures become ever more complex, the need to securely exchange data is becoming more challenging. NATS messaging is designed to simplify collaboration between often diverse software applications.
Singular.live, a specialist cloud-native technology for live graphic overlays, and Grass Valley, technology provider for the live media and entertainment market, have announced a deeper integration of GV AMPP with Singular.live.
Open Caching, a specification created by the Streaming Video Alliance (SVA), promises Content Providers a standardized CDN (Content Delivery Network) model that delivers a better end-customer QoE (Quality of Experience), and a possible way for ISPs (Internet Service Providers) to gain new operational efficiencies and earn new revenues from the delivery of OTT services.