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AI in broadcasting: optimizing production and distribution of content

AI in broadcasting: optimizing production and distribution of contents

The use of Artificial Intelligence (AI) for broadcasting applications has moved past in-lab research demonstrations and theoretical constructs, and solutions are being used in real-world broadcasts.

The use of Artificial Intelligence in broadcasting is far wider than some may believe, and the number of examples from 2018 confirms that new broadcasting technologies driven by artificial intelligence (AI) are being introduced to the broadcasting workflow at a growing rate.  These  technologies  intend  to  increase  productivity,  efficiency  and  creative  opportunities  during programme production, and to convey information to viewers quickly, accurately and automatically.

One example from the report now published: in  2018,  BBC  Four  carried  out  two  full  days  of  programming  that  were  entirely  selected  and scheduled by AI algorithms to optimize to the user demographic. Included in these two days of AI motivated broadcast were portions of content that were generated solely by select AI algorithms. The full story is published in the report now available from ITU – International Telecommunication Union, a 20 page PDF document entitled Artificial Intelligence systems for programme production and exchange that reflects the work ITU has been doing on these issues, profiting from the experiences of programme makers and broadcasters who are doing just that.

AI used to create new programmes

The report discusses how AI is now being used to optimise workflows for broadcasting programme making, to improve audio and visual quality evaluation, to efficiently utilize the frequency spectrum in television and radio distribution and recently even to create new programmes by mining archives as well as automatically targeting content to specific audiences or individuals.

For example, AI is being used for extracting content from vast archives; automatically localising content for international distribution; and generating access services such as captioning, audio description, text to speech and signing far faster and far more accurately than could be achieved in the past.

“ITU is collaborating with stakeholders to harness the power of AI to improve lives worldwide and seek solutions to the world’s greatest challenges,” said ITU Secretary-General Houlin Zhao. “This helps us to identify practical applications of AI that can accelerate progress towards the UN Sustainable Development Goals” a subject covered during the AI for Good Global Summit, held in May 2019.

Expanding the use of AI

“There is still an incredible amount of work needed to ensure that the use of AI in programme making and content distribution is for the benefit of the audiences,” said Mario Maniewicz, Director of ITU’s Radiocommunication Bureau. “We also need to make sure that the systems employed interact with each other. This and other Reports and Recommendations from ITU help to achieve that.”

The report now published appears in response to Study Group 6 (Broadcasting Service) Question ITU-R 144/6 on Use of Artificial Intelligence (AI) for broadcasting, which was approved in January 2019.   The Study Group 6 or SG6, deals with the questions associated with Radiocommunication broadcasting, including vision, sound, multimedia and data services principally intended for delivery to the general public. With this report the SG6 is expanding its overview of Artificial Intelligence.

Study Group 6 is also involved in the Workshop on “The Future of Television for Europe”, which will take place on 7 June 2019 in Geneva, Switzerland at the ITU Headquarters, following the success of “The Future of Cable TV (Geneva, Switzerland, 25-26 January 2018) and The Future of TV for the Americas (Bogotá, Colombia, 26 November 2018.

AI is becoming essential for broadcasting

Yukihiro Nishida, Chairman of ITU-R Study Group 6 (SG 6), said “The use of AI is becoming essential for broadcasting to increase productivity and reliability and is expanding its applications in the end-to-end chain of broadcasting, for which SG 6 is responsible. It is important to understand the impact to broadcasting. SG 6 will continue the study to help broadcasters make maximum advantage of its use.”

Andy Quested, Chairman of the ITU-R Working Party 6C that oversees the AI work, indicated that with the ever-expanding formats, platforms and regulations broadcasters are faced with, there is a demand for intuitive and learning technologies to be a vital tool for programme makers and broadcasters. AI is allowing programme makers to do what they are best at – creating the best, most compelling content they can.

More than 5000 specialists from around the world

Poppy Crum (USA), Vice-Chairman, ITU-R Working Party 6C has been leading this project working with members to create a unique overview Report of the current state of intelligent systems as they are applied to programme making and international programme exchange.

More than 5000 specialists, from administrations, the telecommunications industry as a whole and academic organizations throughout the world, participate in the work of the ITU-R Study Groups.

ITU study groups are venues for ITU members to work collaboratively in responding to the priorities of the ITU membership. The groups develop the technical basis for ITU agreements and associated activities. Study groups of the ITU Radiocommunication Sector (ITU-R) address issues including the efficient management and use of the radio-frequency spectrum and orbit resources, radio systems’ characteristics and performance, spectrum monitoring, emergency radiocommunications for public protection and disaster relief, interference-free radiocommunications, radio and TV broadcasting, and new radio technologies.

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