AI-SIPM 2024: International Workshop on Artificial Intelligence for Signal, Image Processing and Multimedia

被引:0
|
作者
Ketcham, Mahasak [1 ]
Phodong, Kanyalag [2 ]
Pramkeaw, Patiyuth [3 ]
Yimyam, Worawut [4 ]
Chumuang, Narumol [5 ]
Songmuang, Pokpong [6 ]
Ganokratanaa, Thittaporn [7 ]
机构
[1] King Mongkuts Univ Technol, Dept Informat Technol Management, Bangkok, Thailand
[2] Phranakhon Si Ayutthaya Rajabhat Univ, Dept Comp Sci, Phra Nakhon Si Ayutthaya, Thailand
[3] King Mongkuts Univ Technol Thonburi Bangkok, Dept Media Technol Program, Bangkok, Thailand
[4] Phetchaburi Rajabhat Univ, Dept Business Informat Management, Phetchaburi, Thailand
[5] Muban Chombueng Rajabhat Univ, Dept Digital Media Technol, Bangkok, Thailand
[6] Thammasat Univ, Dept Comp Sci, Bangkok, Thailand
[7] King Mongkuts Univ Technol Thonburi Bangkok, Dept Math, Bangkok, Thailand
关键词
algorithms; signal processing; image processing; computer science; artificial intelligence; communication systems;
D O I
10.1145/3652583.3659998
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The International Workshop on Artificial Intelligence for Signal, Image Processing, and Multimedia (AI-SIPM) aims to provide a platform for researchers, practitioners, and industry professionals to exchange ideas, discuss recent advancements, and explore future directions in the field of artificial intelligence (AI) applied to signal processing, image processing, and multimedia technologies. This workshop will feature presentations of novel research findings, practical applications, and innovative solutions addressing various challenges and opportunities in AI-driven signal and image processing, as well as multimedia analysis and understanding. Researchers and practitioners from academia, industry, and government agencies are invited to submit their original research contributions and participate in discussions that foster collaboration and knowledge sharing across different domains. Through this workshop, we aim to accelerate advancements in AI-driven technologies for signal processing, image analysis, and multimedia applications, contributing to the advancement of research and innovation in this rapidly evolving field.
引用
收藏
页码:1330 / 1331
页数:2
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