The Use of Temporal Information in Food Image Analysis

被引：9

作者：

Wang, Yu ^{[1
]}

He, Ye ^{[2
]}

Zhu, Fengqing ^{[1
]}

Boushey, Carol ^{[3
]}

Delp, Edward ^{[1
]}

机构：

[1] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA

[2] Google, Mountain View, CA USA

[3] Univ Hawaii, Ctr Canc, Canc Epidemiol Program, Honolulu, HI 96822 USA

来源：

NEW TRENDS IN IMAGE ANALYSIS AND PROCESSING - ICIAP 2015 WORKSHOPS | 2015年 / 9281卷

关键词：

SEGMENTATION;

D O I：

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

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：317 / 325

页数：9

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