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 - 2013/1/1
Y1 - 2013/1/1
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
AN - SCOPUS:84887499279
SN - 9781450323925
T3 - CEA 2013 - Proceedings of the 5th International Workshop on Multimedia for Cooking and Eating Activities
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
T2 - 5th International Workshop on Multimedia for Cooking and Eating Activities, CEA 2013
Y2 - 21 October 2013 through 21 October 2013
ER -