The use of co-occurrence patterns in single image based food portion estimation
MetadataShow full item record
© 2017 IEEE. Measuring accurate dietary intake is considered to be an open research problem in the nutrition and health fields. Food portions estimation is a challenging problem as food preparation and consumption process pose large variations on food shapes and appearances. We use geometric model based technique to estimate food portions and further improve estimation accuracy using co-occurrence patterns. We estimate the food portion co-occurrence patterns from food images we collected from dietary studies using the mobile Food Record (mFR) system we developed. Co-occurrence patterns is used as prior knowledge to refine portion estimation results. We show that the portion estimation accuracy has been improved when in-corporating the co-occurrence patterns as contextual information.
Showing items related by title, author, creator and subject.
He, Y.; Xu, C.; Khanna, N.; Boushey, Carol; Delp, E. (2013)We are developing a dietary assessment system that records daily food intake through the use of food images. Recognizing food in an image is difficult due to large visual variance with respect to eating or preparation ...
Comparison of Known Foods Weights with Image-Based Portion-Size Automated Estimation and Adolescents' Self-Reported Portion SizeLee, C.; Chae, J.; Schap, R.; Kerr, Deborah; Delp, E.; Ebert, D.; Boushey, C. (2012)Background: Diet is a critical element of diabetes self-management. An emerging area of research is the use of images for dietary records using mobile telephones with embedded cameras. These tools are being designed to ...
Bernasconi, R.; Stat, Michael; Koenders, A.; Huggett, M. (2018)© 2018, Springer Science+Business Media, LLC, part of Springer Nature. Scleractinian corals form the framework of coral reefs and host abundant and diverse microbial communities that are fundamental to their success. A ...