Abstract
Our daily food is an emerging target for multimedia research community. Health care field is paying considerable attention on dietary control, which requires that individuals record what they eat. We developed and made publicly available multimedia applications, that are, FoodLog, multimedia food recording tools that allow users to take photos of their meals and to produce food records. We developed two kinds of tools: One is FoodLog Web and the other is FoodLog app used by smartphones. In both systems, image processing techniques are incorporated. For example, in case of FoodLog app, unlike conventional smartphone-based food recording tools, it allows users to employ meal photos to help them to input textual descriptions based on image retrieval. We summarize the outline of FoodLog, its deployment in diverse applications including health care, and analysis of data captured by a year-long operation of FoodLog app.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
F.E. Thompson, A.F. Subar, C.M. Loria, J.L. Reedy, T. Baranowski, Need for technological innovation in dietary assessment. J. Am. Diet. Assoc. 110(1), 4851 (2010)
FoodLog Web. http://www.foodlog.jp/en/
FoodLog app. http://app.foodlog.jp
CEA2015. http://www.mm.media.kyoto-u.ac.jp/CEA2015/CCC2015; http://ccc2015.loria.fr/ MADiMa2015; http://madima.org
T. Joutou, K. Yanai, in IEEE ICIP. A food image recognition system with multiple kernel learning, pp. 285–288 (2009)
F. Zhu, M. Bosch, I. Woo, S.-Y. Kim, C.J. Boushey, D.S. Ebert, E.J. Delp, The use of mobile devices in aiding dietary assessment and evaluation. IEEE J. Sel. Top. Sign. Process. 4(4), 756–766 (2010)
W. Wu, J. Yang, in IEEE ICME, Fast food recognition from videos of eating for calorie estimation, pp. 1210–1213 (2009)
S. Yang, M. Chen, D. Pomerleau, R. Sukthankar, in IEEE CVPR. Food recognition using statistics of pairwise local features, pp. 2249–2256 (2010)
M. Bosch, F. Zhu, N. Khanna, C.J. Boushey, E. Delp, in IEEE ICIP. Combining global and local features for food identification in dietary assessment, pp. 1789–1792 (2011)
Y. Kawano, K. Yanai, FoodCam: a real-time food recognition system on a smartphone. Multimedia Tools Appl. 74(14), 5263–5287 (2015)
L. Bossard, M.Guillaumin, L. Van Gool, Food-101—mining discriminative components with random forests, European Conference on Computer Vision (2014)
H. Kagaya, K. Aizawa, M. Ogawa, Food detection and recognition using convolutional neural network. ACM Multimedia 2014, 1085–1088 (2014)
K. Kitamura, T. Yamasaki, K. Aizawa, Food log by analyzing food images, ACM Multimedia, pp. 999–1000 (2008)
Ministry of Agriculture, Forestry and Fisheries of Japan, Food Balance Guide. http://www.maff.go.jp/j/balance_guide/ (in Japanese)
T. Miyazaki, G.C. de Silva, K. Aizawa, in IEEE ISM. Image-based calorie content estimation for dietary assessment, pp. 363–368 (2011)
K. Aizawa, Y. Maruyama, H. Li, C. Morikawa, Food balance estimation by using personal dietary tendencies in a multimedia food log. IEEE Trans. Multimedia 15(8), 2176–2185 (2013)
M. Ogawa, Y. Sato, K. Aizawa, Foo.Log.Inc—Counting Calories with Your Camera (2011). www.health2con.com/tv/foo-log-inc-tools-andtrackers
K. Aizawa, M. Ogawa et al., Comparative study of the routine daily usability of foodlog: a smartphone-based food recording tool assisted by image retrieval. J. Diabetes Sci. Technol. 8, 203–208 (2014)
J. Noronha, E. Hysen, H. Zhang, K.Z. Gajos, in ACM UIST. PlateMate: crowdsourcing nutrition analysis from food photographs, pp. 1–12 (2011)
S. Amano, K. Aizawa, M. Ogawa, Food category representatives: extracting categories from meal names in food recordings and recipe data. IEEE Multimedia Big Data 48–55 (2015)
K. Waki, K. Aizawa et al., Dialbetics with a multimedia food recording tool, foodlog: smartphone-based self-management for type 2 diabetes. J. Diabetes Sci. Technol. 9(3), 534–540 (2015)
K. Aizawa, Multimedia foodlog: diverse applications from self-monitoring to social contributions. ITE Trans. Media Technol. Appl. 1(3), 214–219 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer Japan
About this chapter
Cite this chapter
Aizawa, K. (2016). FoodLog: Multimedia Food Recording Tools for Diverse Applications. In: Nishida, T. (eds) Human-Harmonized Information Technology, Volume 1. Springer, Tokyo. https://doi.org/10.1007/978-4-431-55867-5_4
Download citation
DOI: https://doi.org/10.1007/978-4-431-55867-5_4
Published:
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-55865-1
Online ISBN: 978-4-431-55867-5
eBook Packages: Computer ScienceComputer Science (R0)