7-8 January, 2024 • Langkawi, Malaysia

Special Sessions:

Abstract/paper submission instructions

Session title: Video Coding for Machines

Kyoungro Yoon, Konkuk University, Korea
Shiqi Wang, City University of Hong Kong, Hong Kong
Jae-Gon Kim, Korea Aerospace Univerity, Korea

Description of the special session:

In a modern city or an environment with various facilities, closed-circuit televisions (CCTVs) and smart cameras have been widely deployed for surveillance and potential on-demand video analysis. Human analysis of video recordings is very time-consuming and requires an unacceptable amount of human labour. Recent advances in artificial intelligence (AI) have made great breakthroughs in a wide range of understandings of visual content. Research on machine-oriented video processing technologies has also been a trendy way to address such challenges. However, the amount of video data is too large for long-term storage even with state-of-the-art video compression technologies, which optimizes the visual quality for human consumption. The features that are consumed by machine vision may be different from those consumed by human eyes. ISO/IEC JTC 1 SC 29 has started exploring video coding technologies for machines, aiming to potentially standardizing it for machines’ consumption. The video coding technologies for machines are expected to achieve higher coding efficiency than that of the state-of-the-art video coding technologies for human consumption.

Session title: Intelligent System Design

Chao Zhang, University of Fukui, Japan
Xi Yang, Jilin University, China
Tsukasa Fukusato, The University of Tokyo, Japan
Haoran Xie, Japan Advanced Institute of Science and Technology, Japan

Description of the special session:

Along with the rapid development of intelligent systems in the research fields of deep learning, computer vision, and computer graphics, the research topic of intelligent system design is emerging for the society to help people in supporting daily activities and augmenting their intelligence with the machine powers. In this special session, the discussions and presentations of novel ideas and approaches of but not limited to interface design, video analysis, and generative models are anticipated to facilitate future research topics for intelligent systems with state-of-the-art computing technologies.

Session title: AI Startups in Medical Imaging

Date:5th January, 2022
Time:11:00 a.m. – 12:30 p.m.

Jong Hyo Kim, Seoul National University, Korea
Hiroshi Fujita, Gifu University, Japan

Description of the special session:

AI startups in medical imaging represent the driving force of emerging developments and innovations across the variety of medical imaging chain that holds the potential to reshape the future clinical practice and patient care. This session invites the AI startups in medical imaging from different Asian countries to share their experiences in differentiating their technology and products, team-building, funding, products approval, networking with clinical and business partners, and marketing. Discussions will include differences in startup environments in each country and opportunities for collaboration with academic researchers.

1. Introduction
Jong Hyo Kim, Ph.D.
Professor, Dept. of Transdisciplinary Studies,
Graduate School of Convergence Science and Technology
Dept. of Radiology, College of Medicine
Seoul National University

2. InferVision (Beijing based)
Yoshimoto Furusawa

3. LPIXEL (Tokyo based)
Yuki Shimahara

4. Medical IP (Seoul based)
Sangjoon Park
CEO of Medical IP

5. TaiHao Medical Inc. (Taipei based)
Jen-Feng Hsu
Director of TaiHao AI research team

Abstract/paper submission instruction:

Prospective authors are invited to submit one-page extended abstracts for presentations at IWAIT 2022. After the acceptance of the extended abstracts, authors will be invited to submit the full papers. The one-page extended abstracts will be included in the conference proceedings, while the full papers will be published by the SPIE. All abstracts/papers submitted to this special session will go through the same review process as the regular abstracts/papers submitted to the main conference to ensure the quality of the submissions. To prepare the manuscripts, please refer to the authors’ guide of IWAIT 2022 available at https://iwait.online/paper-submission/.