The Gallery Agnostic Live Media Production project is one of the eight Challenges in the 2023 cohort for IBC’s Accelerator Media Innovation Programme. The project is championed by ITN, YLE, BBC, TV2, and TRANSMIXR, and the participants are Tinkerlist, Singular.live, Techex, Grass Valley and ZIXI.
The Challenge
The specific challenge as stated on the project site is:
Making live television and content should be more gallery and device agnostic, which will help the broadcasting adapt to budgets, technical possibilities and a variety of circumstances, like a sudden change in venue or location.
Important is the ability for producers & editors to control a variety of devices, tech stacks, … from one common interface. This will allow for easy adaption to venue-changes, OB-truck interface and help producers to adapt to different budgets, types of shows etc…
You are not signed in.
Only registered users can view this article.
Content Everywhere: a look back at 2024
As the year draws to a close, it seems an opportune time to ask Content Everywhere companies for their views on the top trends in 2024. As always, key industry players have been keen to respond with comments and views on how the past year shaped up both for them and the wider industry.
AI and the evolution of MAM: Part three – future outlook
In the final part of our investigation into MAM’s current and future relationship with AI, James McKeown analyses where the technology is likely to take asset management capabilities next, and the other factors driving the evolution of the space.
RSIFF: Kingdom underlines ambitions to become filmmaking powerhouse
Saudi Arabia's cinema market is experiencing a cultural renaissance, driven by increasing local productions and a growing appetite for diverse storytelling, reports Adrian Pennington from the Red Sea International Film Festival.
AI and the evolution of MAM: Part two – current applications
In part two of IBC365’s exploration of the MAM ecosystem, James McKeown finds out where AI is currently having the most positive impact on media workflows.
AI and the evolution of MAM: Part one – risk analysis
Forms of AI and automation have been making efficiencies in media asset management (MAM) systems for some time, but as the technology becomes more powerful and its potential applications more expansive, what are the major considerations and risks of AI’s role in MAM? James McKeown explores in the first of a three-part investigation.
