Digital Media Production

The scope of the Strategic Programme (SP) covers Radio, TV and other media services. It comprises the evolution of production systems and the underlying media formats. The work is divided in the following areas:

 

Data

AI, ML, Metadata                   

Alex.jpg

Alexandre Rouxel
rouxel@ebu.ch
+41 22 717 2473

Data »
 

Video

Codecs, Formats, QC            

Frans.jpg

Frans de Jong
dejong@ebu.ch
+41 22 717 2722

Video »

Goals

The goals for this Strategic Programme are defined in the current EBU T&I Workplan, which runs up to 2023 (updated June 2022) and can be summarized as follows:

  • Assist Members in developing and using efficient production workflows.
  • Track the evolution of post-production, news and archive systems.
  • Enable Members to
    • transition toward UHDTV, including High Dynamic Range (HDR) and live production workflows;
    • transition to Personalized Sound Experiences, including ADM-based tools;
    • implement adaptable production workflows for audio, video and data.
  • Provide guidance for Members on
    • production and contribution codec quality based on testing and benchmarking;
    • cloud-based production and future newsroom systems;
    • LED wall-based virtual production and CG animation in realtime without mocap suits;
    • the future spectrum needs for content production (via the SP Spectrum's PMSE initiative)
  • Investigate benefits for Members’ regarding
    • cloud-agnostic microservice frameworks for media;
    • the impact of metaverse technologies;
    • object-based media for accessibility.
  • Study and foster Member knowledge sharing on
    • processing of multi-versioned content for live and non-live applications;
    • using NFTs , e.g. for content repurposing or archives;
    • sustainability in production, developing recommendations and best practice.
  • Ensure and improve the end-user Quality of Experience.
  • Provide a common Quality Control language and a database of QC terms, templates, etc.
  • Ensure knowledge sharing on the topics of metadata, machine learning, and computing architectures.
  • Develop
    • an Artifical Intelligence (AI) benchmarking framework for facial recognition;
    • an EBU facial recognition metadata standard (EBU Core, EBU CCDM);
    • a cloud-hosted metadata exchange platform for archives.
  • Leverage AI to support all aspects of content production, including the areas of
    • fake news detectiont;
    • serverless cloud workflows.
  • Improve accessibility through personalized services, incl. a focus on moving from linear to non-linear services.
  • Continue to promote the use of EBU R 128 for loudness control across all platforms and devices.

Project groups

Accessibility & Sustainability

Audio

Data & AI

Video & Quality Control

Workflows

Communities of practice

EBU Members are invited to join the following communities to share experiences, including problems and solutions:

Related initiatives