AI Media Production Lab
In an IBC Accelerators first, the 2024 Programme will feature three very special challenges under an umbrella theme of ‘AI Media Production Lab’, featuring an all-star cast of Champions and Participants set out to explore a series of specific AI concepts in various production scenarios within this exciting, fast-moving and disruptive area of media and technology.
This will encompass researching and developing learnings around various AI tools and techniques to improve creativity and efficiency in production workflows, stamping out bias and AI hallucinations to embrace audience sentiments in content development, and exploring predictive video workflows in sports production.
The three Case Studies within IBC’s AI Media Production Lab include:
Watch the Generative AI in Action Challenge Pitch:
8A) Generative AI in Action
Project Challenge Proposed by: RAI, EBU
Champions: RAI, EBU, ITV, YLE, Verizon Business, VRT
Participants: Google, Microsoft, Pluxbox, Mimic Productions, Plan IX Labs, Respeecher, Xansr Media, Infuse Video, Osensus, RKG Group, Moonbug Productions
Generative AI will revolutionise broadcasters' workflows by automating content creation, enhancing real-time customisation and streamlining production processes, thereby driving efficiency and innovation in the dynamic media broadcasting industry. This challenge is about using Generative AI for content production and explore the integration and impact of Generative Artificial Intelligence (Generative AI) in a production centre environment.
As the M&E industries strive for increased efficiency, automation, and innovation, Generative AI emerges as a powerful tool with the potential to transform traditional production workflows, so the project will also aim to deliver an in-depth analysis of existing tools on Generative AI and its best applications in the creation of scene, script and virtual character.
In addition, the R&D will explore the qualitative aspects of the human-machine collaboration within the production centre, and investigate the interaction dynamics, employee skill adaptation, and the overall organizational culture in the context of introducing Generative AI into the production workflow. The POC results will aim to provide a synthesis of findings, offering insights into the transformative potential of Generative AI in a production centre setting.
8B) AI Audience Validation Assistant (AAVA)
Project Challenge Proposed by: Zwart, Evangelische Omroep EO
Supported by Champions: Zwart, Evangelische Omroep EO, BNNVARA, IET, CHANNEL 4, YLE
Participants: Mimic Productions
Proposed by Champion Zwart and Evangelische Omroep (EO) and supported by Co-Champions BNNVARA, BBC, Channel 4, IET and more, this unique challenge has a core focus aimed at the entire industry and audience perceptions, utilising AI as a tool to combat bias detection, AI hallucinations and promote inclusion and diversity for audiences and focus groups at early content production and development stages.
Understanding and engaging the target audience is paramount for media organizations, so they can produce content that resonates with all parts of that audience. Traditionally, success was only visible post publication or through costly and time-consuming methods like focus groups. In an age where data is key, this project leads in innovation by combining extensive audience data with advanced AI to blend and transform content creation, involving the audience in the development process.
The project will explore solutions to turn passive viewers into active contributors through AI-driven personas that reflect society's complexity. This unique approach accelerates content development, infusing it with genuine societal insights. Essentially, the POC results will showcase a vibrant, interactive platform where the public not only consumes media but also plays a role in its creation, heralding a new era of public-engaged media.
Watch the AI Audience Validation Assistant (AAVA) Challenge Pitch:
Watch the Changing the Game: Predictive Generative AI Challenge Pitch:
8C) Changing the Game: Predictive Generative AI
Project Challenge Proposed by: Verizon Business
Champions: Verizon Business, Paramount Global, Vodafone Group
Participants: AMD, Microsoft, Infuse Video
Proposed by Champion Verizon, this case study will look at AI as a production tool for Live Sports and Live Events to assist directors and production teams to potentially predict next frames and next moves for swifter edits, content detection, and better workflows. Leveraging LLMs, tailored datasets and computer vision housed in a Private 5G network, this Challenge aims to create the ability to generate predictive video and audio that is authentic and as close to what actually happens during a live-action event such as sports or live broadcasts. The project will aim to evaluate the efficacy of which datasets are needed to accurately predict live video outcomes and how far into the future the predictive video and audio can remain authentic to the actual video and audio, to help enable real-time enhanced experiences, such as personalized commentators and localization.
This Challenge POC results will also be mix of new exploration in LLM and Modelling, Computer Vision and Generative Video (ie. Stability AI) to help the M&E industry envision new workflows to elevate live-to-air storytelling and broadcasting, and truly enhance the fan’s experience.