There’s no way to sugarcoat it: The pandemic has had a highly disruptive effect on video production and distribution in 2020 and many agree it will be felt for several years. The inability for people to gather safely has made it impossible for full-scale video production to go ahead as it did before. Yet, the industry has risen to the challenge in a myriad of ways and learned to be more efficient in the process.
Migrating live and file-based video services to the cloud holds the promise of huge flexibility in deployment architectures, geographical backhaul possibilities, virtually limitless peak provisioning, pay per use pricing, access to machine learning and other advanced intellectual property on-demand, and much more. This migration is still in its infancy and will ultimately drive new cloud business models and partnerships to create viable financial common ground, but there are some critical technical challenges facing video service providers looking to de-risk the move to the cloud.
The legacy gamma adopted in 709 and 240M has recently been supplanted by two more approaches to applying non-linearity to luminance, namely the Hybrid Log Gamma (HLG) system developed by the BBC and NHK and the Perceptive Quantizer (PQ) developed by Dolby.
Low Complexity Enhancement Video Coding (LCEVC), otherwise known as MPEG-5 Part 2, has emerged as de facto codec of the year after adoption by a number of broadcasters and technology companies, as well as promotion to MPEG/ISO final draft international standard in November 2020.
With viewers demanding to watch what they want, where they want, and how they want, it’s not surprising we’re seeing an unprecedented growth in broadcaster OTT requirements. However, the change in delivery format from traditional broadcasting is providing us with some interesting challenges.
To see how to make computers secure, we have to go way back to see how they work.
Noise shaping performs an important role in digital audio because it allows hardware to be made at lower cost without sacrificing performance, and in some cases allowing a performance improvement.
Standardized QoS/QoE monitoring systems ensure that Sinclair operators can seamlessly aggregate, analyze and troubleshoot all broadcast performance data groupwide. It also builds a solid foundation for future automation.
