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A Regional Food's Features Extraction Algorithm and Its Application

Nguyen, Duc Trung and Nguyen, Diep Thi Ngoc and Kiyoki, Yasushi (2013) A Regional Food's Features Extraction Algorithm and Its Application. In: 5th Workshop on Multimedia for Cooking and Eating Activities (ACMM CEA2013), ACM 2013, October 21, 2013, Barcelona, Spain.

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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.

Item Type: Conference or Workshop Item (Paper)
Subjects: Information Technology (IT)
Divisions: Faculty of Information Technology (FIT)
Depositing User: Ms Diep Nguyen Thi Ngoc
Date Deposited: 11 Dec 2019 08:45
Last Modified: 11 Dec 2019 08:45

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