Artificial Intelligence Applications in TV Industry Workflow¶
Abstract¶
The TV industry is going through a major change due to consumers' need for high-quality, diverse, and customized content. This leads to increased production costs while production timelines shrink. To deal with these challenges, the industry is leveraging the use of Artificial Intelligence to improve and optimize its processes. This paper gives a summary of how AI is being used in existing literature and publicly available use cases. Unlike prior works, we place these applications in the perspective of the TV industry workflow of pre-production, production, post-production, and distribution.
Overview¶
We organize current Artificial Intelligence applications in broadcast and streaming television according to the four-stage production workflow defined by Owens: Pre-Production, Production, Post-Production, and Distribution.
- Pre-Production: Automated journalism (BBC, NHK Smart Production, Heliograf) and hierarchical LLM scriptwriting (
Dramatron). - Production: Robotic camera auto-framing, live sports player tracking, and real-time telemetry and AR overlays (Vizrt, F1/AWS).
- Post-Production: Spatio-temporal super-resolution (SD/HD to 4K/8K), archive colorization, denoising, synthetic media generation, and neural lip-sync (
TrueSync). - Distribution: Personalized scheduling (BBC iPlayer), hybrid recommendation engines, multimodal voice assistants, and targeted advertising.
Selected Applications¶
Citation¶
@inproceedings{webmedia_estendido,
author = {Alan Guedes},
title = { Artificial Intelligence Applications in TV Industry Workflow},
booktitle = {Anais Estendidos do XXXI Simpósio Brasileiro de Sistemas Multimídia e Web},
location = {Rio de Janeiro/RJ},
year = {2025},
keywords = {},
issn = {2596-1683},
pages = {265--270},
publisher = {SBC},
address = {Porto Alegre, RS, Brasil},
doi = {10.5753/webmedia_estendido.2025.16796},
url = {https://sol.sbc.org.br/index.php/webmedia_estendido/article/view/38182}
}



