We continue our series on Broadcast Audio Systems with a discussion about workflow with multi-award winner Robert Edwards. We look at general purpose workflows, and some considerations for different types of production across news, sports and chat shows. As the degree of complexity and stress ramps up as soon as…
The concept of remote production – moving raw content generated at a site event back to the main facility for production and management – has been rapidly gaining popularity in the broadcast world.
Founded in 2004 as Appear TV, the company rebranded in 2021 as Appear to better reflect its expanding product portfolio and the non-broadcast customers (like telcos, head-end operators and the hospitality sector) it is now supporting. Based in Oslo, Appear launched a new U.S. division in April 2022, with sales/technical support…
The idea of “content everywhere” is of course well established. Consumers like the idea that they can consume media – including video – on whichever device is to hand. Mobiles and tablets are seen as primary viewing devices today. More than 80% of internet traffic is video.
Celebrating its 19th year in business, LYNX Technik is a global manufacturer of signal processing solutions and modular interface equipment. The company is based in Weiterstadt, Germany, with offices in Los Angeles (U.S.) and Singapore. TheBroadcastBridge.com spoke with David Holloway, Director of Sales EMEA, at LYNX Technik.
Our third and final part of this series looks at Quality Control & Compliance, which bring efficiency, confidence, and legal conformance to daily TV station operations.
Remote Integration Model (REMI) production is more than remote cameras. It’s a new way of thinking and working. This tale of trying to implement a REMI production model within tight financial constraints highlights some of the operational challenges involved.
In part one of this series, we looked at why machine learning, with particular emphasis on neural networks, is different to traditional methods of statistical based classification and prediction. In this article, we investigate some of the applications specific for broadcasters that ML excels at.
