The use of temporal information in food image analysis
MetadataShow full item record
We have developed a dietary assessment system that uses food images captured by a mobile device. Food identification is a crucial component of our system. Achieving a high classification rates is challenging due to the large number of food categories and variability in food appearance. In this paper, we propose to improve food classification by incorporating temporal information. We employ recursive Bayesian estimation to incrementally learn from a person’s eating history. We show an improvement of food classification accuracy by 11% can be achieved.
Showing items related by title, author, creator and subject.
Long-term food insecurity, hunger and risky food acquisition practices: A cross-sectional study of food charity recipients in an Australian capital cityPollard, Christina; Booth, S.; Jancey, Jonine; Mackintosh, B.; Pulker, Claire; Wright, Janine; Begley, Andrea; Imtiaz, Sabrah; Silic, Claire; Mukhtar, Aqif; Caraher, M.; Berg, J.; Kerr, Deborah (2019)© 2019 by the authors. Licensee MDPI, Basel, Switzerland. Inadequate social protection, stagnant wages, unemployment, and homelessness are associated with Australian household food insecurity. Little is known about the ...
Scully, M.; Wakefield, M.; Niven, P.; Chapman, K.; Crawford, D.; Pratt, Steve; Baur, L.; Flood, V.; Morley, B. (2012)The present study examined associations between food marketing exposure and adolescents’ food choices and reported consumption of energy-dense and nutrient-poor (EDNP) foods. A cross-sectional survey of 12,188 Australian ...
Begley, Andrea; Paynter, E.; Butcher, L.; Dhaliwal, Satvinder (2019)© 2019 by the authors. Poor food literacy behaviours may contribute to food insecurity in developed countries. The aim of this research was to describe the apparent prevalence of food insecurity in adults at enrolment in ...