Connectionists: CBMI 2023 - Special Session on Cross-modal multimedia analysis and retrieval for well-being insights

dao at nict.go.jp dao at nict.go.jp
Sat Apr 1 22:33:50 EDT 2023


Deadline: 12th April, 2023

Cross-modal multimedia analysis and retrieval for well-being insights
URL: https://cbmi2023.org/special-sessions/

Getting insights into well-being has attracted people’s attention for 
decades by understanding human mental and physical health, social 
relations, and connections via direct and indirect perspectives. The 
direct perspective observes self-data from wearable sensors, medical 
profiles, lifelog cameras, and personal social networks that reflect 
people’s health, activities, and behaviors. The indirect perspective 
captures social data through surrounding sensors, social network 
interaction, and third-party data to understand how people interact with 
their surrounding environment and society. By utilizing these 
perspectives, governments, industries, and citizens can gather 
intelligence, plan, control, retrieve, and make decisions in wellbeing 
and its impact areas efficiently and effectively. Numerous studies have 
been done on each perspective, but few have focused on analyzing and 
retrieving cross-data from different perspectives for better human 
benefit. In this context, it is more than evident that developing cross-
data multimedia analysis and retrieval is a critical issue in well-being 
insights.

This special session aims to bring together researchers and 
practitioners from various research fields in social, life, and natural 
sciences, to discuss the latest developments and challenges in cross-
data multimedia analysis and retrieval in wellbeing insights, including 
food computing, social activity recommendation, anti-infertility, 
personal training, stress reduction, mental/physical health improvement,
and wellbeing research, to name a few.

The topics of interest include, but are not limited to:

- Interpretation of multimedia for wellbeing
- Psychological Stress and Social Media Use
- Health synthetic data generation
- The effect of media use on wellbeing
- Lifestyle Recommendations Based on Diverse Observations
- Multimodal personal health lifelog data analysis
- Multimodal lifelog data analysis and retrieval
- Food in the Media and Health-Conscious Consumer
- Training Performance Indications Based on Activity Lifelogs
- The effects of air pollution on human health
- Safety driving improvement using multimedia and sensory data

Contacts
- Minh-Son Dao, National Institute of Information and Communications
Technology, Japan (dao at nict.go.jp)
- Vincent Nguyen, Orléans University, France
- Michael Alexander Riegler, Simula Metropolitan Center for Digital 
Engineering, Norway (michael at simula.no)
- Duc-Tien Dang-Nguyen, Bergen University, Norway ( ductien.dangnguyen@
uib.edu)
- Cathal Gurrin, Dublin City University, Ireland
- Thanh-Binh Nguyen, Vietnam National University in HCM City, University
of Science (ngtbinh at hcmus.edu.vn)

Deadline: 12th April, 2023
Paper Submission: https://cbmi2023.org/paper-submission/
https://cbmi2023.org/special-sessions/



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