Food photo recognition for dietary tracking: System and experiment

• Main Authors: MING, Zhao-Yan, CHEN, Jingjing, CAO, Yu, FORDE, Ciarán, NGO, Chong-wah, CHUA, Tat Seng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Dietary app; Food image recognition; User food photo; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/6675; https://ink.library.smu.edu.sg/context/sis_research/article/7678/viewcontent/MultiMedia_Modeling.pdf
• Institution: Singapore Management University

Tracking dietary intake is an important task for health management especially for chronic diseases such as obesity, diabetes, and cardiovascular diseases. Given the popularity of personal hand-held devices, mobile applications provide a promising low-cost solution to tackle the key risk factor by di...