A regional food's features extraction algorithm and its application

Trung Duc Nguyen, Diep Thi Ngoc Nguyen, Yasushi Kiyoki

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルCEA 2013 - Proceedings of the 5th International Workshop on Multimedia for Cooking and Eating Activities
出版社Association for Computing Machinery
ページ15-20
ページ数6
ISBN(印刷版)9781450323925
DOI
出版ステータスPublished - 2013 1 1
イベント5th International Workshop on Multimedia for Cooking and Eating Activities, CEA 2013 - Barcelona, Spain
継続期間: 2013 10 212013 10 21

出版物シリーズ

名前CEA 2013 - Proceedings of the 5th International Workshop on Multimedia for Cooking and Eating Activities

Other

Other5th International Workshop on Multimedia for Cooking and Eating Activities, CEA 2013
CountrySpain
CityBarcelona
Period13/10/2113/10/21

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications

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