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.
| Original language | English |
|---|---|
| Title of host publication | CEA 2013 - Proceedings of the 5th International Workshop on Multimedia for Cooking and Eating Activities |
| Publisher | Association for Computing Machinery |
| Pages | 15-20 |
| Number of pages | 6 |
| ISBN (Print) | 9781450323925 |
| DOIs | |
| Publication status | Published - 2013 |
| Event | 5th International Workshop on Multimedia for Cooking and Eating Activities, CEA 2013 - Barcelona, Spain Duration: 2013 Oct 21 → 2013 Oct 21 |
Other
| Other | 5th International Workshop on Multimedia for Cooking and Eating Activities, CEA 2013 |
|---|---|
| Country | Spain |
| City | Barcelona |
| Period | 13/10/21 → 13/10/21 |
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Keywords
- Dynamic recipe
- Food's features
- Recipe retrieval
- Text mining
- Web crawler
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
Cite this
A regional food's features extraction algorithm and its application. / Nguyen, Trung Duc; Nguyen, Diep Thi Ngoc; Kiyoki, Yasushi.
CEA 2013 - Proceedings of the 5th International Workshop on Multimedia for Cooking and Eating Activities. Association for Computing Machinery, 2013. p. 15-20.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A regional food's features extraction algorithm and its application
AU - Nguyen, Trung Duc
AU - Nguyen, Diep Thi Ngoc
AU - Kiyoki, Yasushi
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Dynamic recipe
KW - Food's features
KW - Recipe retrieval
KW - Text mining
KW - Web crawler
UR - http://www.scopus.com/inward/record.url?scp=84887499279&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84887499279&partnerID=8YFLogxK
U2 - 10.1145/2506023.2506027
DO - 10.1145/2506023.2506027
M3 - Conference contribution
SN - 9781450323925
SP - 15
EP - 20
BT - CEA 2013 - Proceedings of the 5th International Workshop on Multimedia for Cooking and Eating Activities
PB - Association for Computing Machinery
ER -