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논문 기본 정보

자료유형
학술저널
저자정보
서예지 (연세대학교) 김영인 (연세대학교)
저널정보
한국색채학회 한국색채학회논문집 한국색채학회논문집 제33권 제2호(통권 제82호)
발행연도
2019.5
수록면
17 - 28 (12page)
DOI
10.17289/jkscs.33.2.201905.17

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초록· 키워드

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This study investigated fashion color trends predicted by trend forecasting agencies from the 2009 S/S season to the 2018 F/W season and the structure of color networks. In this study, the fashion trend forecasting companies that were used to build a database were as follows: Intercolor, Promostyl, Première Vision, Pantone, FaDI, Samsung Design Net, and Firstview Korea. The 5,820 forecasted fashion trend colors from the 2009 S/S season to the 2018 F/W season were collected and analyzed in Munsell’s basic 10 hues and PCCS’s 12 tones. To digitize and visually represent the relationships between the forecasted fashion trend colors, network analysis, including frequency analysis, density analysis, degree, and degree centrality, was performed using Netminer 4.0. The conclusions are as follows: First, a comparative analysis of hues was conducted on the forecasted fashion trend colors’ characteristics, which showed that the YR, R, Y, and PB hues were commonly forecasted. Second, the analysis of the seasonal hue usage ratio revealed that b, lt, and p were forecasted mostly during the S/S season, while ltg, g, d, dk, and dkg were commonly forecasted during the F/W season. Third, degree centrality analysis results showed that W was utilized the most in the S/S season and appeared regularly every two or three years. This method was used to quantitatively analyze fashion color trends and identify the relationships between colors. The results are expected to contribute to the development of color patterns required to automatically forecast color trends by utilizing extended color data.

목차

Abstract
1. Introduction
2. Research Method
3. Characteristics of Seasonal Fashion Trend Color
4. Conclusion and Proposal
References

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