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 ([log in to unmask])
- Vincent Nguyen, Orléans University, France
- Michael Alexander Riegler, Simula Metropolitan Center for Digital
Engineering, Norway ([log in to unmask])
- 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 ([log in to unmask])
Deadline: 12th April, 2023
Paper Submission: https://cbmi2023.org/paper-submission/
https://cbmi2023.org/special-sessions/
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