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College of Sericulture, Textile and Biomass Sciences, Southwest University, China
*Corresponding author:ZHAO Yu, College of Sericulture, Textile and Biomass Sciences, Southwest University, Chongqing 400715, China
Submission: October 18, 2023;Published: December 14, 2023
ISSN: 2578-0271Volume9 Issue3
Xinjiang unearthed brocade patterns underlie Chinese traditional culture along with aesthetic perception and have been widely applied in modern pattern design. In order to improve the modern design of Xinjiang unearthed brocade patterns, a semantic quantification method was proposed to divide the pattern semantics into six dimensions and use the pattern semantic coding data after dimension reduction to cluster and reorganize the patterns. Further, the semantic clusters of patterns that represent the representative semantic elements were conducted and turned to guide the modern pattern design on the basis of the matching results to form a new design. In doing so, this study offers insight for promoting the engagement between the semantics of brocade patterns unearthed in Xinjiang and the needs of modern pattern design.
Keywords:Xinjiang unearthed brocade patterns; Multidimensional semantics; Semantic cluster; Pattern design
Ph.D in Agriculture from Faculty of Agriculture, Tohoku University
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