The use of temporal information in food image analysis
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...
| Main Authors: | , , , , |
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| Format: | Conference Paper |
| Published: |
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/51248 |
| _version_ | 1848758650878820352 |
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| author | Wang, Y. He, Y. Zhu, F. Boushey, Carol Delp, E. |
| author_facet | Wang, Y. He, Y. Zhu, F. Boushey, Carol Delp, E. |
| author_sort | Wang, Y. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T09:47:22Z |
| format | Conference Paper |
| id | curtin-20.500.11937-51248 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:47:22Z |
| publishDate | 2015 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-512482018-03-29T09:09:36Z The use of temporal information in food image analysis Wang, Y. He, Y. Zhu, F. Boushey, Carol Delp, E. 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. 2015 Conference Paper http://hdl.handle.net/20.500.11937/51248 10.1007/978-3-319-23222-5_39 restricted |
| spellingShingle | Wang, Y. He, Y. Zhu, F. Boushey, Carol Delp, E. The use of temporal information in food image analysis |
| title | The use of temporal information in food image analysis |
| title_full | The use of temporal information in food image analysis |
| title_fullStr | The use of temporal information in food image analysis |
| title_full_unstemmed | The use of temporal information in food image analysis |
| title_short | The use of temporal information in food image analysis |
| title_sort | use of temporal information in food image analysis |
| url | http://hdl.handle.net/20.500.11937/51248 |