Presentation 2020-03-05
Typicality evaluation of food-type specific presentation
Masamu Nakamura, Yasutomo Kawanishi, Keisuke Doman, Takatsugu Hirayama, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) We propose a method to evaluate the typicality of a food presentation within its food-type for supporting cooking recipe search. A typical food presentation is a food presentation which shares common features of a food-type. Therefore, in this research, we evaluate the typicality of food presentations by considering that a typical food presentation has a high frequency of appearance and that similar food presentations have similar image features. The proposed method first removes the background region and extracts image features from food photos. Next, kernel density estimation generates the density distribution on the normalized features. Finally, given a food photo, the typicality of its food presentation is calculated by the features of the food photo and the density distribution. Evaluation results showed the effectiveness of using color features for the typicality evaluation.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Typicality evaluation / food photo / kernel density estimation
Paper # IMQ2019-49,IE2019-131,MVE2019-70
Date of Issue 2020-02-27 (IMQ, IE, MVE)

Conference Information
Committee IE / IMQ / MVE / CQ
Conference Date 2020/3/5(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Kyushu Institute of Technology
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Hideaki Kimata(NTT) / Toshiya Nakaguchi(Chiba Univ.) / Kenji Mase(Nagoya Univ.) / Hideyuki Shimonishi(NEC)
Vice Chair Kazuya Kodama(NII) / Keita Takahashi(Nagoya Univ.) / Mitsuru Maeda(Canon) / Kenya Uomori(Osaka Univ.) / Masayuki Ihara(NTT) / Jun Okamoto(NTT) / Takefumi Hiraguri(Nippon Inst. of Tech.)
Secretary Kazuya Kodama(NTT) / Keita Takahashi(NHK) / Mitsuru Maeda(Shizuoka Univ.) / Kenya Uomori(Sony Semiconductor Solutions) / Masayuki Ihara(Nagoya Univ.) / Jun Okamoto(NTT) / Takefumi Hiraguri(Nippon Inst. of Tech.)
Assistant Kyohei Unno(KDDI Research) / Norishige Fukushima(Nagoya Inst. of Tech.) / Hiroaki Kudo(Nagoya Univ.) / Masaru Tsuchida(NTT) / Keita Hirai(Chiba Univ.) / Satoshi Nishiguchi(Oosaka Inst. of Tech.) / Masanori Yokoyama(NTT) / Shogo Fukushima(Univ. of ToKyo) / Chikara Sasaki(KDDI Research) / Yoshiaki Nishikawa(NEC) / Takuto Kimura(NTT)

Paper Information
Registration To Technical Committee on Image Engineering / Technical Committee on Image Media Quality / Technical Committee on Media Experience and Virtual Environment / Technical Committee on Communication Quality
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Typicality evaluation of food-type specific presentation
Sub Title (in English)
Keyword(1) Typicality evaluation
Keyword(2) food photo
Keyword(3) kernel density estimation
1st Author's Name Masamu Nakamura
1st Author's Affiliation Nagoya University(Nagoya Univ.)
2nd Author's Name Yasutomo Kawanishi
2nd Author's Affiliation Nagoya University(Nagoya Univ.)
3rd Author's Name Keisuke Doman
3rd Author's Affiliation Chukyou University(Chukyou Univ.)
4th Author's Name Takatsugu Hirayama
4th Author's Affiliation Nagoya University(Nagoya Univ.)
5th Author's Name Ichiro Ide
5th Author's Affiliation Nagoya University(Nagoya Univ.)
6th Author's Name Daisuke Deguchi
6th Author's Affiliation Nagoya University(Nagoya Univ.)
7th Author's Name Hiroshi Murase
7th Author's Affiliation Nagoya University(Nagoya Univ.)
Date 2020-03-05
Paper # IMQ2019-49,IE2019-131,MVE2019-70
Volume (vol) vol.119
Number (no) IMQ-454,IE-456,MVE-457
Page pp.pp.171-176(IMQ), pp.171-176(IE), pp.171-176(MVE),
#Pages 6
Date of Issue 2020-02-27 (IMQ, IE, MVE)