MADiMa 2024
9th Edition
Complete archived record of this edition, including submission guidelines, speakers, program, and organization details.
Overview
After the success of the past MADiMa workshops, we are pleased to present MADiMa 2024, organized in conjunction with ICPR, the International Conference on Pattern Recognition.
The prevention of onset and progression of diet-related acute and chronic diseases requires reliable and intuitive dietary management. The need for accurate, automatic, real-time, and personalised dietary advice has been recently complemented by advances in artificial intelligence (AI), computer vision (CV), wearable, and smartphone technologies, permitting the development of end-to-end pipelines for food multimedia content analysis.
The latest advances in Large Language Models (LLMs) and Language Vision Models (LVMs) present a spectrum of new opportunities, including intelligent nutritional assistants and reliability testing in nutritional-content estimation, recipe analysis, and food database reading.
Scope
The main scope of MADiMa 2024 is to bring together researchers from the diverse fields of engineering, computer science and nutrition who investigate the use of information and communication technologies for better monitoring, assessment, and management of food intake.
The combined use of multimedia, machine learning algorithms, ubiquitous computing and mobile technologies permits the development of applications and systems able to monitor dietary behavior, analyze food intake, identify eating patterns, and provide feedback to the user towards healthier nutrition. Researchers will present and demonstrate their latest progress and discuss novel ideas in the field, with emphasis on precise problem definition, available nutritional databases, and evaluation protocols.
Topics
Topics of interest include (but are not limited to) the following:
- Ubiquitous and mobile computing for dietary assessment
- Computer vision for food detection, segmentation, and recognition
- Deep learning for food analysis
- 3D reconstruction for food portion estimation
- Augmented reality for food portion estimation
- Wearable sensors for food intake detection
- Computerized food composition (nutrients, allergens) analysis
- Multimedia technologies for eating monitoring
- Food image analysis and social media
- Smartphone technologies for dietary behavioral patterns
- Food multimedia databases
- Evaluation protocols of dietary management systems
- Multimedia assisted self-management of health and disease
- ICT technologies for tackling mal- and undernutrition
- Dietary monitoring systems for Low- and Middle-Income Country (LMIC) settings
- Vision techniques for food quality check
- ICT for personalization of dietary advice
- Personalized dietary recommendation systems