Overview of the ACM MultiMedia 2016 International Workshop on Multimedia Assisted Dietary Management Stavroula Mougiakakou University of Bern, Switzerland stavroula.mougiakakou@artorg.unibe.ch Giovanni Maria Farinella University of Catania, Italy gfarinella@dmi.unict.it Keiji Yanai The University of Electro- Communications, Japan yanai@cs.uec.ac.jp ABSTRACT This abstract provides a summary and overview of the 2 nd international workshop on multimedia assisted dietary management. CCS Concepts  Information systems → Multimedia information systems  Information systems → Mobile information processing systems  Applied computing → Health informatics Keywords Food recognition; food volume estimation; food detection/segmentation; computer vision; machine learning; semantics; wearable technologies; mobile technologies; nutrient estimation; diet assessment. 1. INTRODUCTION 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 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 nutritional 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 management. The first published attempts towards multimedia content analysis for dietary management took place in 2008. At that time, only some research groups were working in the field from the USA [1]-[3] and Japan [4], [5]. In Europe, the first (and only) related research project was funded in 2011 under the FP7 framework (GoCARB project) [6]. Since then, the field has attracted increasing interest with at least 30 groups from universities and companies around the world proposing portable systems that aim to help users with every-day diet management. This trend was triggered by the escalating prevalence of diet-related chronic diseases and was supported by the recent advances in computer vision and smartphone technologies. To this end, the European Commission announced several related calls for proposals, as well as a € 1 million prize for a non-invasive portable food scanner within the framework of Horizon 2020. Furthermore, according to market analysis reports [7], nutrition apps will become increasingly popular, personalized and integrated. Although significant progress has already been made in this newborn field, there are plenty of issues that detain its further development and need to be addressed. A closer collaboration between the involved researchers should be promoted that will result in a strict problem definition, a basic categorization of the proposed approaches as well as a collection of widely accepted datasets and evaluation protocols. 2. AIM OF THE WORKSHOP The main scope of MADiMa2016 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 and management of food intake. The combined use of multimedia, machine learning algorithms, ubiquitous computing and mobile technologies permit 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. 3. TOPICS OF INTEREST Topics of interest include the following:  Ubiquitous and mobile computing for dietary assessment  Computer vision for food detection, segmentation and recognition  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  Smartphone technologies for dietary behavioral patterns  Food multimedia databases  Evaluation protocols of dietary management systems  Multimedia assisted self-management of health and disease 4. WORKSHOP SUMMARY The MADiMA2016 workshop attracted in total 14 submissions from America, Europe and Asia. Out of these, 10 papers and two Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author. Copyright is held by the owner/author(s). MM '16, October 15-19, 2016, Amsterdam, Netherlands ACM 978-1-4503-3603-1/16/10. http://dx.doi.org/10.1145/2964284.2980535 1489