Presentation | 2013-03-07 Menu Recognition of Personal Food Log Image Haruki SUGIYAMA, Kiyoharu AIZAWA, Makoto OGAWA, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose a method for menu recognition for photos in individual personal food log. In this method, we extract ORB and ColorORB features and recognize menus by NBNN. The highest menu recognition rate by images was 74%, and 4 users' average rate was 52.5% by images and 19.5% by menus, respectively. Moreover, we use limited dataset, and the recognition rates improved to 55.3% by images, and 32.3% by menus, respectively. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Image Recognition / Foodlog / Food and Health Communication |
Paper # | LOIS2012-76 |
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Committee | LOIS |
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Conference Date | 2013/2/28(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Life Intelligence and Office Information Systems (LOIS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Menu Recognition of Personal Food Log Image |
Sub Title (in English) | |
Keyword(1) | Image Recognition |
Keyword(2) | Foodlog |
Keyword(3) | Food and Health Communication |
1st Author's Name | Haruki SUGIYAMA |
1st Author's Affiliation | Dept. of Interfaculty Initiative in Information, The University of Tokyo() |
2nd Author's Name | Kiyoharu AIZAWA |
2nd Author's Affiliation | Dept. of Interfaculty Initiative in Information, The University of Tokyo:Dept. of Information and Communication Eng., The University of Tokyo |
3rd Author's Name | Makoto OGAWA |
3rd Author's Affiliation | foo.log inc. Entrepreneur Plaza |
Date | 2013-03-07 |
Paper # | LOIS2012-76 |
Volume (vol) | vol.112 |
Number (no) | 466 |
Page | pp.pp.- |
#Pages | 5 |
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