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 |
Download PDF |
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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) |
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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) |
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Deep Learning |
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Discriminative AI |
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Generative AI |
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Transformer |
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大規模言語モデル |
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Diffusion Model |
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1st Author's Name |
Toru Imai |
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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 |
4 |
Date of Issue |
2025-02-28 (BCT) |