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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
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2019/08/01
Online ISSN: 1745-1361
Type of Manuscript: LETTER
Category: Human-computer Interaction
food photography, attractiveness, photographic framing,
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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.