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The Broadcast Bridge assesses how far UHD has come and finds rollout hindered by being inextricably bound up with the complexities of High Dynamic Range (HDR). The industry was hoping for 4K consumer displays sales to kick up, driven with the UHD HDR broadcast of the FIFA World Cup from Russia, alongside many other major sporting events.
Engineers and technologists are known for their problem-solving abilities. In fact, it’s a fundamental requirement. But of all the challenges our industry has faced this year and the solutions we’ve had to find, which technology dominates the broadcast landscape?
IP is delivering untold opportunities for broadcasters, not least the freedom to improve the efficiency of workflows. But during the evaluation of our systems, we should be thinking about resilience as much as efficiency.
Visitors searched the 2019 NAB Show exhibit halls, technical sessions and conferences for valuable clues to make the best high-stakes bets on the changing future of broadcast TV.
Cloud computing is arguably one of the most important advances in broadcast television since the development of the electron scanning beam. Empowered by the adoption of IP, cloud is proving its worth in all aspects of television. But what is it about cloud computing that makes it so unique and valuable for broadcasters?
In the realm of video technology, I — like many others — predicted one thing entirely wrong a few years ago. I assumed by 2018 the hard drive would be dead and gone and solid state flash memory would have totally replaced it. I was incorrect. It is interesting to understand why the predicted transition has yet to occur.
IP is more than just a transport stream; it encapsulates a whole new way of thinking and esports is an exemplar of the IP and agile methodologies that deliver truly innovative workflows and mindsets.
Machine Learning (ML) is finding many new opportunities in broadcasting. From compression and library metadata tagging, all the way to image recognition for remote camera operation. One of the challenges we face in maintaining the ML momentum is implementing new, diverse, and relevant datasets. The question I have is, who owns the data?
There are many, many choices of microphones available for video recording — from lavaliers to shotguns to on camera-mounted mics. How do you choose the right mic for the given situation? Here’s a guide.
Despite the proliferation of webinars that seem to be trying to replace social interaction, I believe there is definitely a future for the webinar when used in the right context.