메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
윤선애 (연세대학교) 서예지 (연세대학교) 김영인 (연세대학교)
저널정보
한국복식학회 복식 복식 제67권 제6호 (통권 제205호)
발행연도
2017.9
수록면
1 - 12 (12page)
DOI
10.7233/jksc.2017.67.6.001

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
The objective of this study is to provide a quantitative analysis of changes in flow and attributes of floral patterns, fashion styles, and colors used in collections and trend-related images since 2010. In order to investigate the expression method of the floral pattern, frequency analysis was used on floral patterns of each year, the floral patterns expressed on the fabric, the fashion styles, and the colors. Floral pattern were analyzed from 306 images selected from a total of 2,168 images collected from the ‘fashion’ category of Vogue Korea’s website (www.vogue.co.kr) dating from 2010 to 2016. The research result showed that the year with the most images involving floral images was 2015(152 images). The months with the high number of images were September(56) and February(36). The most frequent mode of floral pattern printed on the fabric was at 76%, and the fashion style that used floral patterns the most frequently was on a dress at 52%. The dress being the most frequently applied floral fashion style can be attributed to its popularity during the spring and summer. Red was a popular accent color, and green and yellow colors were popular choices as primary and secondary colors. In terms of the color distribution, the accent and secondary colors with smaller areas came in a dark tone(dk) and a deep and deep tone(dp), but the accent colors with large areas included pale(pl) and a bright tone(b) in the spectrum of brighter colors. This study investigated the floral images portrayed in the change in fashion trend, and the result can be significant for future fashion trends.

목차

ABSTRACT
Ⅰ. 서론
Ⅱ. 이론적 배경
Ⅲ. 연구방법
Ⅳ. 연구결과
Ⅴ. 결론
References

참고문헌 (25)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2018-381-001313265