Presentation 2013-03-07
Menu Recognition of Personal Food Log Image
Haruki SUGIYAMA, Kiyoharu AIZAWA, Makoto OGAWA,
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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.
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Keyword(in English) Image Recognition / Foodlog / Food and Health Communication
Paper # LOIS2012-76
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Conference Information
Committee LOIS
Conference Date 2013/2/28(1days)
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Registration To Life Intelligence and Office Information Systems (LOIS)
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
Date of Issue