A data-driven approach to JND detection for perceptual video encoding
Tech Papers 2025: This paper introduces IMAX-JNDNet, a deep learning framework that predicts segment-level JND decisions by analyzing compressed video triplets.

Tech Papers 2025: This paper introduces IMAX-JNDNet, a deep learning framework that predicts segment-level JND decisions by analyzing compressed video triplets.
Tech Papers 2025: In this paper, we introduce an AI-powered broadcast assistant successfully deployed during the Paris 2024 Olympic swimming and fencing competitions
Tech Papers 2025: This paper proposes approaches and perspectives for automated video cutting at SWR and ARD.
Tech Papers 2025: This paper examines how artificial intelligence (AI) is reshaping creative identity, value, and professional legitimacy in post-production workflows.
Tech Papers 2025: This paper reviews general 6G designs directions and provides examples of potentially relevant media and verticals related work.
Tech Papers 2025: This paper aims to introduce pivotal developments, offering clear examples of applications, requirements, outlining relevant 3GPP-defined systems and network capabilities, and exemplifying current industry efforts to facilitate the exposure and effective utilization of network capabilities for media applications and services.
Tech Papers 2025: In this paper, an overview of the recent advances in standards and industry of 5G is provided.
As IBC2025 opens its doors, today’s IBC Daily digital edition highlights the sessions, initiatives and attractions in the new Future Tech in Hall 14.
Today’s IBC Daily digital edition looks at how broadcasters are benefitting from collaboration and how CTOs are generating revenue with AI.