A regional food's features extraction algorithm and its application

Authors:
Trung Duc Nguyen;Diep Thi-Ngoc Nguyen;Yasushi Kiyoki
Affiliations:
Keio University, Fujisawa, Kanagawa, Japan;Keio University, Fujisawa, Kanagawa, Japan;Keio University, Fujisawa, Kanagawa, Japan
Venue:
Proceedings of the 5th international workshop on Multimedia for cooking & eating activities
Year:
2013

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Abstract

Automatically detecting food's taste is a non-trivial part. However, we realize that the taste of food can be extracted by directly analyzing recipes by the ingredients and the amount of them in the recipes. In this paper, we present a food analysis system to discover the taste of foods and to better understand the featured ingredients in each specific geographical region. The main features of this system are (1) to extract dominant ingredients and tastes in a region by analyzing the ingredients' frequency and its uniqueness, and (2) to transform user's existing materials or original recipe to a new recipe according to a targeted taste. To examine the feasibility and applicability of the algorithm, we have developed a web-based application with a recipe database collected from approximately 200 recipes in over 7 regions of Japan: Hokkaido-Tohoku, Kanto, Kansai, Shikoku, Tyubu, Kyusyu-Okinawa and Tyugoku.