ETV Bharat, the comprehensive digital national news platform, owned and operated by Ushodaya Enterprises Pvt, has selected a range of Grass Valley solutions to underpin its upgraded production and editing operations.
The new set-up includes the video production and content management tool, GV STRATUS, integrated with nonlinear editing software EDIUS. It gives the service provider future-ready capability, allowing it to scale its operations both on-premise and remotely off-site.
ETV Bharat delivers seamless news and information services across mobile apps and web portals to 24 Indian states with programming in 13 languages. Central to the production facility in Hyderabad is Grass Valley’s GV STRATUS video production and content management system, a combination of tools and customization for fast ingest to on-air, efficient asset management, integrated social media publishing and management of metadata. With EDIUS, the news service benefits from an award-winning, multiformat software, ideally suited for news production, with real-time capabilities and format versatility.
"Innovation and evolution have never been so crucial in our industry than in the last year,” said Bharath K, CTO, ETV Bharat. “We pride ourselves on innovation, and the ETV Bharat service is a first-of-its-kind offering in India in terms of diversity and depth. To remain productive during the COVID-19 pandemic, we wanted to implement a reliable and trustworthy production and asset management solution that could enable our operators to work on-site and at home as needed.”
GV STRATUS manages media with speed top of mind in both on premise and remote broadcast applications. All ingested content is formatted in lower resolution proxy on the fly by STRATUS transcoders. For on premise use, ETV purchased 400 EDIUS Pro licenses for flexible, fast editing. 200 Remote users utilize EDIUS XS for secure editing via VPN and user access control while rendering their edits from the field. The powerful rules engine automatically manages file transfers to their respective location based on pre-configured user preference.
You might also like...
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…
Some call it the Broadcast Core Network, or Broadcast Internet, or One-to-Many Private Datacasting. Others simply call it datacasting.
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 en…
Signal transducers such as cameras, displays, microphones and loudspeakers handle information, ideally converting it from one form to another, but practically losing some. Information theory can be used to analyze such devices.
This second part of our Master Control mini series tackles COMMS - without which we would have chaos.