eprintid: 3821
rev_number: 6
eprint_status: archive
userid: 413
dir: disk0/00/00/38/21
datestamp: 2019-12-11 08:45:34
lastmod: 2019-12-11 08:45:34
status_changed: 2019-12-11 08:45:34
type: conference_item
metadata_visibility: show
creators_name: Nguyen, Duc Trung
creators_name: Nguyen, Diep Thi Ngoc
creators_name: Kiyoki, Yasushi
creators_id: ngocdiep@vnu.edu.vn
title: A Regional Food's Features Extraction Algorithm and Its Application
ispublished: pub
subjects: IT
divisions: fac_fit
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.
date: 2013-10-21
date_type: completed
contact_email: ngocdiep@vnu.edu.vn
full_text_status: none
pres_type: paper
pagerange: 15-20
event_title: 5th Workshop on Multimedia for Cooking and Eating Activities (ACMM CEA2013), ACM 2013
event_location: Barcelona, Spain
event_dates: October 21, 2013
event_type: workshop
refereed: TRUE
citation:   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.