The IET have announced the publication of The best of IET and IBC 2024 from IBC2024, once again showcasing the groundbreaking research presented through the papers. The papers have been selected by IBC’s Technical Papers Committee for being novel, topical, analytical and well-written and which have the potential to make a significant impact upon the media industry. 327 papers were submitted this year, and after a rigorous selection process this publication features the ten papers deemed by the judges to be the best.
The IET have announced the publication of The best of IET and IBC 2024 from IBC2024, once again showcasing the groundbreaking research presented through the papers. The papers have been selected by IBC’s Technical Papers Committee for being novel, topical, analytical and well-written and which have the potential to make a significant impact upon the media industry. 327 papers were submitted this year, and after a rigorous selection process this publication features the ten papers deemed by the judges to be the best.
The IET would like to extend a huge congratulations to all authors included in this year’s publication, particularly Joshua Maraval, Nicolas Ramin and Lu Zhang who won IBC’s Best Technical Paper Award 2024 with their paper ‘Advancements in Radiance Field Techniques for Volumetric Video Generation: A Technical Overview’.
The following selection of papers will cover...
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Opportunities for emerging 5G and wifi 6E technology in modern wireless production
This paper examines the changing regulatory framework and the complex technical choices now available to broadcasters for modern wireless IP production.
Leveraging AI to reduce technical expertise in media production and optimise workflows
Tech Papers 2025: This paper presents a series of PoCs that leverage AI to streamline broadcasting gallery operations, facilitate remote collaboration and enhance media production workflows.
Automatic quality control of broadcast audio
Tech Papers 2025: This paper describes work undertaken as part of the AQUA project funded by InnovateUK to address shortfalls in automated audio QC processes with an automated software solution for both production and distribution of audio content on premises or in the cloud.
Demonstration of AI-based fancam production for the Kohaku Uta Gassen using 8K cameras and VVERTIGO post-production pipeline
Tech Papers 2025: This paper details a successful demonstration of an AI-based fancam production pipeline that uses 8K cameras and the VVERTIGO post-production system to automatically generate personalized video content for the Kohaku Uta Gassen.
EBU Neo - a sophisticated multilingual chatbot for a trusted news ecosystem exploration
Tech Papers 2025: The paper introduces NEO, a sophisticated multilingual chatbot designed to support a trusted news ecosystem.
