After the success of the past MADiMa workshops, we would like to present to you the MADiMa2022 organized in conjunction with ACMM Multimedia 2022 the 30th ACM International Conference on Multimedia, Lisbon, Portugal, October 10, 2022. For the second time, MADiMa and CEA are organized at the same place.

The prevention of onset and progression of diet-related acute and chronic diseases (e.g., diabetes, obesity, cardiovascular diseases, and cancer) requires reliable and intuitive dietary monitoring and management. The need for accurate, automatic, real-time, and personalized dietary advice has been recently complemented by the advances in computer vision and smartphone technologies, permitting the development of the first mobile food multimedia content analysis applications. The proposed solutions rely on the analysis of multimedia content captured by wearable sensors, smartphone cameras, barcode scanners, RFID readers, and IR sensors, along with already established food-related (e.g., food composition, recipes) databases and often require some user input. In the field of nutritional management, multimedia not only bridges diverse information and communication technologies, but also computer science with medicine, nutrition and dietetics. This confluence brings new challenges and opportunities on dietary monitoring, assessment, and management.

Scope

The main scope of MADiMa2022 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 the dietary behavior, analyze food intake, identify eating patterns, and provide feedback to the user towards healthier nutrition. The researchers will present and demonstrate their latest progress and discuss novel ideas in the field. Besides the technologies used, emphasis will be given to the precise problem definition, the available nutritional databases, the need for benchmarking multimedia databases of packed and unpacked food and the 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.