Artificial Intelligence Applications in TV Industry Workflow
Abstract
The TV industry is going through a major change due consumers need for high-quality, diverse, and customized content. This leads to increase production costs while the production time shrink. To deal with these challenges, the industry is levering the use of Artificial Intelligence to improve and optimize their processes. This paper gives a summary of how it is being used in existing literature and publicly available use cases. But different than other works, we put them application in perspective of the TV Industry workflow of pre-production, production, post-production, and distribution.
Keywords:
TV Industry, Artificial Intelligence, TV production
References
Giuseppe Amato, Malte Behrmann, Frédéric Bimbot, Baptiste Caramiaux, Fabrizio Falchi, Ander Garcia, Joost Geurts, Jaume Gibert, Guillaume Gravier, Hadmut Holken, et al. 2019. AI in the media and creative industries. arXiv preprint arXiv:1905.04175 (2019).
Nantheera Anantrasirichai and David Bull. 2022. Artificial intelligence in the creative industries: a review. Artificial intelligence review 55, 1 (2022), 589–656.
Nantheera Anantrasirichai, Fan Zhang, Alexandra Malyugina, Paul Hill, and Angeliki Katsenou. 2020. Encoding in the dark grand challenge: an overview. In 2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW). IEEE, 1–6.
Alex Connock. 2024. British TV and AI: explore and exploit. European Journal of Cultural Management and Policy Volume 14 - 2024 (2024). DOI: 10.3389/ejcmp.2024.13225
Mathias-Felipe de Lima-Santos and Wilson Ceron. 2022. Artificial Intelligence in News Media: Current Perceptions and Future Outlook. Journalism and Media 3, 1 (2022), 13–26. DOI: 10.3390/journalmedia3010002
Nelson Granados. 2024. How Artificial Intelligence Is Shaping The New Media And Entertainment Economy. [link] Accessed: 2025-08-28.
Alan LV Guedes. 2020. Future Vision of Interactive and Intelligent TV Systems using Edge AI. SET International Journal of Broadcast Engineering 6 (2020), 5–5.
Xiaonan He, Yuansong Qiao, Brian Lee, and Yuhang Ye. 2023. A comparative study of super-resolution algorithms for video streaming application. Multimedia Tools and Applications (2023), 1–20.
Hiroyuki Kaneko, Jun Goto, Yoshihiko Kawai, Takahiro Mochizuki, Shoei Sato, Atsushi Imai, and Yuko Yamanouchi. 2020. AI-driven smart production. SMPTE Motion Imaging Journal 129, 2 (2020), 27–35.
Anisio Lacerda, Marco Cristo, Marcos André Gonçalves, Weiguo Fan, Nivio Ziviani, and Berthier Ribeiro-Neto. 2006. Learning to advertise. In Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval. 549–556.
Kin Gwn Lore, Adedotun Akintayo, and Soumik Sarkar. 2017. LLNet: A deep autoencoder approach to natural low-light image enhancement. Pattern Recognition 61 (2017), 650–662.
Piotr Mirowski, Kory W Mathewson, Jaylen Pittman, and Richard Evans. 2023. Co-writing screenplays and theatre scripts with language models: Evaluation by industry professionals. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 1–34.
Jim Owens. 2023. Video Production Handbook (7th ed.). Routledge, New York. DOI: 10.4324/9781003251323
Craig Wright, Jack Allnutt, Rosie Campbell, Michael Evans, Stephen Jolly, Em Shotton, Susan Lechelt, Graeme Phillipson, and Lianne Kerlin. 2023. AI in production: Video analysis and machine learning for expanded live events coverage. In Proceedings of the 2023 ACM International Conference on Interactive Media Experiences Workshops. 77–78.
Anbang Xu, Zhe Liu, Yufan Guo, Vibha Sinha, and Rama Akkiraju. 2017. A new chatbot for customer service on social media. In Proceedings of the 2017 CHI conference on human factors in computing systems. 3506–3510.
Zhongyou Xu, Tingting Wang, Faming Fang, Yun Sheng, and Guixu Zhang. 2020. Stylization-based architecture for fast deep exemplar colorization. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 9363–9372.
Nantheera Anantrasirichai and David Bull. 2022. Artificial intelligence in the creative industries: a review. Artificial intelligence review 55, 1 (2022), 589–656.
Nantheera Anantrasirichai, Fan Zhang, Alexandra Malyugina, Paul Hill, and Angeliki Katsenou. 2020. Encoding in the dark grand challenge: an overview. In 2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW). IEEE, 1–6.
Alex Connock. 2024. British TV and AI: explore and exploit. European Journal of Cultural Management and Policy Volume 14 - 2024 (2024). DOI: 10.3389/ejcmp.2024.13225
Mathias-Felipe de Lima-Santos and Wilson Ceron. 2022. Artificial Intelligence in News Media: Current Perceptions and Future Outlook. Journalism and Media 3, 1 (2022), 13–26. DOI: 10.3390/journalmedia3010002
Nelson Granados. 2024. How Artificial Intelligence Is Shaping The New Media And Entertainment Economy. [link] Accessed: 2025-08-28.
Alan LV Guedes. 2020. Future Vision of Interactive and Intelligent TV Systems using Edge AI. SET International Journal of Broadcast Engineering 6 (2020), 5–5.
Xiaonan He, Yuansong Qiao, Brian Lee, and Yuhang Ye. 2023. A comparative study of super-resolution algorithms for video streaming application. Multimedia Tools and Applications (2023), 1–20.
Hiroyuki Kaneko, Jun Goto, Yoshihiko Kawai, Takahiro Mochizuki, Shoei Sato, Atsushi Imai, and Yuko Yamanouchi. 2020. AI-driven smart production. SMPTE Motion Imaging Journal 129, 2 (2020), 27–35.
Anisio Lacerda, Marco Cristo, Marcos André Gonçalves, Weiguo Fan, Nivio Ziviani, and Berthier Ribeiro-Neto. 2006. Learning to advertise. In Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval. 549–556.
Kin Gwn Lore, Adedotun Akintayo, and Soumik Sarkar. 2017. LLNet: A deep autoencoder approach to natural low-light image enhancement. Pattern Recognition 61 (2017), 650–662.
Piotr Mirowski, Kory W Mathewson, Jaylen Pittman, and Richard Evans. 2023. Co-writing screenplays and theatre scripts with language models: Evaluation by industry professionals. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 1–34.
Jim Owens. 2023. Video Production Handbook (7th ed.). Routledge, New York. DOI: 10.4324/9781003251323
Craig Wright, Jack Allnutt, Rosie Campbell, Michael Evans, Stephen Jolly, Em Shotton, Susan Lechelt, Graeme Phillipson, and Lianne Kerlin. 2023. AI in production: Video analysis and machine learning for expanded live events coverage. In Proceedings of the 2023 ACM International Conference on Interactive Media Experiences Workshops. 77–78.
Anbang Xu, Zhe Liu, Yufan Guo, Vibha Sinha, and Rama Akkiraju. 2017. A new chatbot for customer service on social media. In Proceedings of the 2017 CHI conference on human factors in computing systems. 3506–3510.
Zhongyou Xu, Tingting Wang, Faming Fang, Yun Sheng, and Guixu Zhang. 2020. Stylization-based architecture for fast deep exemplar colorization. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 9363–9372.
Published
2025-11-10
How to Cite
GUEDES, Alan L. V..
Artificial Intelligence Applications in TV Industry Workflow. In: FUTURE OF INTERACTIVE DIGITAL TV WORKSHOP - BRAZILIAN SYMPOSIUM ON MULTIMEDIA AND THE WEB (WEBMEDIA), 31. , 2025, Rio de Janeiro/RJ.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 265-270.
ISSN 2596-1683.
DOI: https://doi.org/10.5753/webmedia_estendido.2025.16796.
