Estimation of the Attractiveness of Food Photography Based on Image Features

Kazuma TAKAHASHI  Tatsumi HATTORI  Keisuke DOMAN  Yasutomo KAWANISHI  Takatsugu HIRAYAMA  Ichiro IDE  Daisuke DEGUCHI  Hiroshi MURASE  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E102-D   No.8   pp.1590-1593
Publication Date: 2019/08/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2018EDL8219
Type of Manuscript: LETTER
Category: Human-computer Interaction
Keyword: 
food photography,  attractiveness,  photographic framing,  

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Summary: 
We introduce a method to estimate the attractiveness of a food photo. It extracts image features focusing on the appearances of 1) the entire food, and 2) the main ingredients. To estimate the attractiveness of an arbitrary food photo, these features are integrated in a regression scheme. We also constructed and released a food image dataset composed of images of ten food categories taken from 36 angles and accompanied with attractiveness values. Evaluation results showed the effectiveness of integrating the two kinds of image features.