Artificial intelligence in media systems - radio and television
Abstract
The development of radio and television is accompanied by technological innovations in the field of business, production, storage and placement of the content. This paper is focused on the application of digital technology which has brought revolutionary possibilities to the media systems in the optimization and integration of work processes, maximum use of resources, time saving, as well as easier exploitation of archived materials and the content placement on digital platforms. The basic thesis of the paper is that the application of artificial intelligence in modern radio-television systems may have positive effects on more efficient business operations, as well as product quality, integration and efficiency of employees’ work with the aim of improving the quality of reporting and creating a new user experience in content consumption.
References
BBC: Artificial Intelligence in broadcasting. (Last updated 2019. Oct. 22). Available at: Artificial Intelligence in Broadcasting - BBC R&D .
BBC: AI in media production. (2017). Available at: AI in Media Production - BBC R&D.
Gavrilov, M. (2015. July 31). What machine learning is and how it changes business software. Available at: https://startit.rs/sta-je-masinsko-ucenje-i-kako-menja-poslovnesoftvere/ [In Serbian].
Getty Images Launches AI Tool to Transform Search for Media Publishers (2018. Аug. 2). Available at: http://press.gettyimages.com/getty-images-launches-ai-tool-to-transform-search-for-media-publishers/
EBU: News report 2019 – The next Newsroom: Unlocking the power of AI for Public service journalism. Available at: https://www.ebu.ch/publications/strategic/login_only/report/news-report-2019.
EBU: EU Strategies for AI and data: Recommendations from Public Service Media. (2020). Available at: https://www.ebu.ch/files/live/sites/ebu/files/Publications/Position_Papers/open/EBU_AI_Data_brief_2020_06_FINAL.pdf,
Feldman, S. (2019. Jan. 24). Where Media Could Benefit from A.I. Available at: https://www.statista.com/chart/16784/ai-media-value/ .
Ćitić, T. (2007). Digital television – new multimedia. CM, (5), 77–100. Novi Sad: Protokol. [In Serbian]
Lalić, Ž. (1978). Man or computer in video mixing process. RTV Teorija i praksa, (11), 161–165. Belgrade: RTV. [In Serbian]
Masleša. P. (2020). AI - artificial intelligence - gift or reason for fear? Available at: VI - veštačka inteligencija - dar ili razlog za strah? - Poslovni Inkubator Novi Sad. [In Serbian]
Napoli, F. (2014). On Automation in Media Industries: Integrating Algorithmic Media Production into Media Industries Scholarship, Available at: https://quod.lib.umich.edu/m/mij/15031809.0001.107/--on-automation-in-media-industries-integrating-algorithmic?rgn=main;view=fulltext . C
Negroponte, N. (1998). Being Digital. Belgrade. Clio. [In Serbian]
Rangaiah, М. (2020, Feb 05). Role of Artificial Intelligence (AI) in Media Industry. Available at: Role of Artificial Intelligence (AI) in Media Industry | Analytics Steps .
Saffell, N. (2016. Oct. 19) .The best or worst thing to happen to humanity” - Stephen Hawking launches Centre for the Future of Intelligence. Available at: https://www.cam.ac.uk/research/news/the-best-or-worst-thing-to-happen-to-humanity-stephen-hawkinglaunches-centre-for-the-future-of.
SAP Versions Release and History of Evolution. (2015, March 31). Available at: SAP Versions Release and History of Evolution (stechies.com).
Somolinos, J. (2019. Jan. 30). Augmented reality the next revolution. Available at: https://www.thebroadcastbridge.com/content/entry/12626/augmented-reality-the-next-revolution.
The intelligent Enterprise. Available at: The Intelligent Enterprise | SAP
Wilkinson, G., Bartindale, T., Nappy, T., Evans, M., Wright, P., Olivier, P. (2018). Media of Things: Supporting the Production of Metadata Rich Media Through IoT Sensing. In CHI 2018 Honourable Mention. Available at: https://dl.acm.org/doi/pdf/10.1145/3173574.3173780