Tianhong Tian, Bingjia Li, Qingyue Li, Xiaohui Wang, Bruce D Campbell, Francesca Samsel
{"title":"Li Ethnic Group's Anthropomorphic Motifs: Art and Applications.","authors":"Tianhong Tian, Bingjia Li, Qingyue Li, Xiaohui Wang, Bruce D Campbell, Francesca Samsel","doi":"10.1109/MCG.2025.3567695","DOIUrl":null,"url":null,"abstract":"<p><p>In this article, we share an image library of anthropomorphic motifs found in the traditional patterns of the Li ethnic group, an indigenous population living on the island of Hainan, China. Existing pattern databases of the motifs lack visual coherence and accessibility for nonexperts. Our image-based framework enhances accessibility for artists and visual users through visual search features intended to facilitate easier understanding of multilayered patterns. This study applies semantic analysis and image processing algorithms to identify and deconstruct key elements within the motifs. We also present a modern redesign of these motifs for cultural innovation, offering new avenues for design in application.</p>","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"45 4","pages":"116-125"},"PeriodicalIF":1.4000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Computer Graphics and Applications","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1109/MCG.2025.3567695","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
In this article, we share an image library of anthropomorphic motifs found in the traditional patterns of the Li ethnic group, an indigenous population living on the island of Hainan, China. Existing pattern databases of the motifs lack visual coherence and accessibility for nonexperts. Our image-based framework enhances accessibility for artists and visual users through visual search features intended to facilitate easier understanding of multilayered patterns. This study applies semantic analysis and image processing algorithms to identify and deconstruct key elements within the motifs. We also present a modern redesign of these motifs for cultural innovation, offering new avenues for design in application.
期刊介绍:
IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics, visualization, virtual and augmented reality, and HCI. From specific algorithms to full system implementations, CG&A offers a unique combination of peer-reviewed feature articles and informal departments. Theme issues guest edited by leading researchers in their fields track the latest developments and trends in computer-generated graphical content, while tutorials and surveys provide a broad overview of interesting and timely topics. Regular departments further explore the core areas of graphics as well as extend into topics such as usability, education, history, and opinion. Each issue, the story of our cover focuses on creative applications of the technology by an artist or designer. Published six times a year, CG&A is indispensable reading for people working at the leading edge of computer-generated graphics technology and its applications in everything from business to the arts.