Food image analysis: The big data problem you can eat!

Wang, Y.; Fang, S.; Liu, C.; Zhu, F.; Kerr, D.; Boushey, Carol; Delp, E.

doi:10.1109/ACSSC.2016.7869576

Access Status

Fulltext not available

Authors

Wang, Y.

Fang, S.

Liu, C.

Zhu, F.

Kerr, D.

Boushey, Carol

Delp, E.

Date

2017

Type

Conference Paper

Metadata

Show full item record

Citation

Wang, Y. and Fang, S. and Liu, C. and Zhu, F. and Kerr, D. and Boushey, C. and Delp, E. 2017. Food image analysis: The big data problem you can eat!, pp. 1263-1267.

Source Title

Conference Record - Asilomar Conference on Signals, Systems and Computers

DOI

10.1109/ACSSC.2016.7869576

ISBN

9781538639542

School

School of Public Health

URI

http://hdl.handle.net/20.500.11937/52407

Collection

Curtin Research Publications

Abstract

© 2016 IEEE.Six of the ten leading causes of death in the United States can be directly linked to diet. Measuring accurate dietary intake, the process of determining what someone eats is considered to be an open research problem in the nutrition and health fields. We are developing image-based tools in order to automatically obtain accurate estimates of what foods a user consumes. We have developed a novel food record application using the embedded camera in a mobile device. This paper describes the current status of food image analysis and overviews problems that still need to be addressed.