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Paper Abstract and Keywords
Presentation 2025-03-07 13:30
[Invited Talk] How AI Technology Can Empower Broadcast Media
Toru Imai (NHK)
Abstract (in Japanese) (See Japanese page) 
(in English) Since the term ‘Artificial Intelligence’ was coined 70 years ago, AI technology has developed remarkably. In recent years, deep learning has dramatically improved AI performance, and innovative generative AI technologies capable of producing text and images have emerged. Since the 1960s, NHK STRL has been working on the research and development of AI, such as pattern recognition, aiming to implement technologies that contribute to the efficiency of content production and the expansion of broadcast services. This paper provides an overview of the evolution and key points of AI technology empowering broadcast media and explores the potential of AI.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep Learning / Discriminative AI / Generative AI / Transformer / 大規模言語モデル / Diffusion Model / /  
Reference Info. ITE Tech. Rep., vol. 49, no. 8, BCT2025-47, pp. 18-21, March 2025.
Paper # BCT2025-47 
Date of Issue 2025-02-28 (BCT) 
ISSN Online edition: ISSN 2424-1970
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Conference Information
Committee BCT IEEE-BT  
Conference Date 2025-03-07 - 2025-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Digital Broadcasting Technology 
Paper Information
Registration To BCT 
Conference Code 2025-03-BCT-BT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) How AI Technology Can Empower Broadcast Media 
Sub Title (in English)  
Keyword(1) Deep Learning  
Keyword(2) Discriminative AI  
Keyword(3) Generative AI  
Keyword(4) Transformer  
Keyword(5) 大規模言語モデル  
Keyword(6) Diffusion Model  
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1st Author's Name Toru Imai  
1st Author's Affiliation NHK (NHK)
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Speaker Author-1 
Date Time 2025-03-07 13:30:00 
Presentation Time 30 minutes 
Registration for BCT 
Paper # BCT2025-47 
Volume (vol) vol.49 
Number (no) no.8 
Page pp.18-21 
#Pages
Date of Issue 2025-02-28 (BCT) 


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