摘要
目的优化民族图案创新设计过程中由于图案语义的隐性、复杂性等特点,造成创新设计的图案脱离原始语境,无法展现文化内涵。方法以设计需求的关键性语义为驱动,分别利用Text RCNN、可拓语义量表、深度学习等技术手段,建立包括语义输入与转化、侗锦图案匹配、设计辅助3个层面的侗锦图案智能设计路径。结果通过对设计需求关键性语义的提取,匹配相应语义的侗锦图案,并智能生成语义相关的设计方案。结论以语义为驱动的民族图案辅助设计路径,有助于提高设计的效率,增强民族文化元素使用的准确性。
In the process of innovative design of national patterns,due to the implicit and complex features of pattern semantics,innovative design patterns are separated from the original context and unable to show the cultural connotation.The purpose of this paper is to optimize and improve the problem.Driven by the key semantics of design requirement,the intelligent design path of Dong brocade pattern including semantic input and transformation,Dong brocade pattern matching and design assistance is established by using TextRCNN,extension semantic scale,deep learning and other technical means.Through the extraction of the key semantics of design requirement,the Dong brocade patterns with cor-responding semantics are matched,and the semantics-related design schemes are generated intelligently.The aided design path of ethnic patterns driven by semantics can improve the efficiency of design and increase the accuracy of the use of ethnic cultural elements.
作者
秦臻
刘永红
郑栋毅
QIN Zhen;LIU Yong-hong;ZHENG Dong-yi(School of Design,Hunan University,Changsha 410082,China;School of Computing,National University of Defense Technology,Changsha 410003,China)
出处
《包装工程》
CAS
北大核心
2021年第14期65-73,共9页
Packaging Engineering
基金
国家重点研发计划课题(2019YFB1405702)
国家社科基金艺术学重点项目(20AG011)。
关键词
语义
智能设计
侗锦
民族图案
semantics
intelligent design
Dong brocade
national patterns
