Presentation 2015-09-25
A Study on Hierarchical Food Classification
Hokuto Kagaya, Shota Horiguchi, Sosuke Amano, Kiyoharu Aizawa, Makoto Ogawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Automatic food recognition or classification is very challenging task. One of the reason is that the number of food items is enormous, and so we can't easily choose a single label for each food image. To solve this problem, we have studied hierarchical food classification. In this paper, we investigate the benefits of introducing hierarchy to classication and try to build hierarchy from words of food names automatically. As a result, we observed the difference between data used for training.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) food image analysis / food image recognition / semantic hierarchy
Paper # DE2015-30
Date of Issue 2015-09-17 (DE)

Conference Information
Committee DE
Conference Date 2015/9/24(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English) Data Engineering and Food Media
Chair Masato Oguchi(Ochanomizu Univ.)
Vice Chair Makoto Onizuka(Osaka Univ.) / Masashi Toyoda(Univ. of Tokyo)
Secretary Makoto Onizuka(Univ. of Electro-Comm.) / Masashi Toyoda(Kyushu Univ.)
Assistant Mayuki Ueda(Univ. of Marketing and Distrbution Science) / Daisuke Kitayama(Kogakuin Univ.)

Paper Information
Registration To Technical Committee on Data Engineering
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Hierarchical Food Classification
Sub Title (in English)
Keyword(1) food image analysis
Keyword(2) food image recognition
Keyword(3) semantic hierarchy
1st Author's Name Hokuto Kagaya
1st Author's Affiliation The University of Tokyo(The Univ. of Tokyo)
2nd Author's Name Shota Horiguchi
2nd Author's Affiliation The University of Tokyo(The Univ. of Tokyo)
3rd Author's Name Sosuke Amano
3rd Author's Affiliation foo.log Inc.(foo.log)
4th Author's Name Kiyoharu Aizawa
4th Author's Affiliation The University of Tokyo(The Univ. of Tokyo)
5th Author's Name Makoto Ogawa
5th Author's Affiliation foo.log Inc.(foo.log)
Date 2015-09-25
Paper # DE2015-30
Volume (vol) vol.115
Number (no) DE-230
Page pp.pp.59-64(DE),
#Pages 6
Date of Issue 2015-09-17 (DE)