The use of temporal information in food image analysis

Wang, Y.; He, Y.; Zhu, F.; Boushey, Carol; Delp, E.

doi:10.1007/978-3-319-23222-5_39

Access Status

Fulltext not available

Authors

Wang, Y.

He, Y.

Zhu, F.

Boushey, Carol

Delp, E.

Date

2015

Type

Conference Paper

Metadata

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Citation

Wang, Y. and He, Y. and Zhu, F. and Boushey, C. and Delp, E. 2015. The use of temporal information in food image analysis, in Proceedings of the18th International Conference on Image Analysis and Processing: New Trends in Image Analysis and Processing (ICIAP), Sep 7-11 2015, pp. 317-325. Genova, Italy: ICIAP.

Source Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

10.1007/978-3-319-23222-5_39

ISBN

9783319232218

School

School of Public Health

URI

http://hdl.handle.net/20.500.11937/51248

Collection

Curtin Research Publications

Abstract

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.