A Multimedia Database for Automatic Meal Assessment Systems

Allegra, Dario; Anthimopoulos, Marios; Dehais, Joachim Blaise; Lu, Ya; Stanco, Filippo; Farinella, Giovanni Maria; Mougiakakou, Stavroula Georgia (August 2018). A Multimedia Database for Automatic Meal Assessment Systems. In: Battiato, Sebastiano; Farinella, Giovanni Maria; Leo, Marco; Gallo, Giovanni (eds.) 3rd International Workshop on Multimedia Assisted Dietary Management. [New Trends in Image Analysis and Processing – ICIAP 2017 [Abstracts]]. Lecture Notes in Computer Science: Vol. 10590 (pp. 471-478). Springer 10.1007/978-3-319-70742-6_46

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A healthy diet is crucial for maintaining overall health and for controlling food-related chronic diseases, like diabetes and obesity. Proper diet management how-ever, relies on the rather challenging task of food intake assessment and monitor-ing. To facilitate this procedure, several systems have been recently proposed for automatic meal assessment on mobile devices using computer vision methods. The development and validation of these systems requires large amounts of data and although some public datasets already exist, they don’t cover the entire spec-trum of inputs and/or uses. In this paper, we introduce a database, which contains RGB images of meals together with the corresponding depth maps, 3D models, segmentation and recognition maps, weights and volumes. We also present a number of experiments on the new database to provide baselines performances in the context of food segmentation, depth and volume estimation.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

04 Faculty of Medicine > Department of Gynaecology, Paediatrics and Endocrinology (DFKE) > Clinic of Endocrinology, Diabetology and Clinical Nutrition
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research
04 Faculty of Medicine > Department of Intensive Care, Emergency Medicine and Anaesthesiology (DINA) > University Emergency Center

UniBE Contributor:

Allegra, Dario; Anthimopoulos, Marios; Lu, Ya and Mougiakakou, Stavroula Georgia

Subjects:

600 Technology > 610 Medicine & health
500 Science > 570 Life sciences; biology
600 Technology > 620 Engineering

ISSN:

1611-3349

ISBN:

978-3-319-70742-6

Series:

Lecture Notes in Computer Science

Publisher:

Springer

Language:

English

Submitter:

Stavroula Mougiakakou

Date Deposited:

30 Apr 2018 11:49

Last Modified:

30 Apr 2018 11:49

Publisher DOI:

10.1007/978-3-319-70742-6_46

Additional Information:

Title of published abstract volume: New Trends in Image Analysis and Processing – ICIAP 2017

URI:

https://boris.unibe.ch/id/eprint/114813

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