A regional food's features extraction algorithm and its application
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.
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Index Terms
- A regional food's features extraction algorithm and its application
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Published In
October 2013
90 pages
ISBN:9781450323925
DOI:10.1145/2506023
- General Chair:
- Kiyoharu Aizawa,
- Program Chair:
- Takuya Funatomi,
- Publications Chair:
- Yoko Yamakata
Copyright © 2013 ACM.
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Published: 21 October 2013
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CEA '13 Paper Acceptance Rate 13 of 21 submissions, 62%;
Overall Acceptance Rate 20 of 33 submissions, 61%
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