03272nam a2200673   4500000000100000000000100001008004100002260001300043653002500056653002000081653002800101653001100129653002800140653001600168653001700184653001900201653001400220653002200234653003000256653002100286653002000307653001400327653001900341653001800360653002300378653003000401653001500431653002300446653003600469653003600505653001900541653003100560653003700591653002200628653002100650653004400671653004600715653003400761653002100795653002100816653002100837653001900858653002000877653002100897653002100918653002400939653003400963653002900997653003301026653002201059653002101081100001201102700001001114245014801124856015301272490001501425520111601440020004202556       2020                            d  bSpringer10aAdversarial networks10aAlgorithm model10aArtificial intelligence10aBamboo10aBamboo weaving patterns10aBlue calico10aCase-studies10aChinese people10aCo-design10aComputer graphics10aComputer image processing10aComputer science10aComputer Vision10aComputers10aCotton fabrics10aDeep learning10aDesign ethnography10aDigital cultural heritage10aEmployment10aEvaluation metrics10aExperience-centred design (ECD)10aGenerative adversarial networks10aHci researches10aHuman computer interaction10aHuman computer interaction (HCI)10aImage generations10aImage processing10aIntangible Cultural Heritage Protection10aIntangible cultural heritage regeneration10aIntangible cultural heritages10aJiangxi Province10aLearning systems10amachine learning10aNew approaches10aPattern designs10aPractical method10aPrinted patterns10aPrinting and dyeing10aResearch through design (RtD)10aStress intensity factors10aTraditional Chinese painting10aUser satisfaction10aWeaving patterns1 aY. Wang1 aR. Fu00aA Methodological Reflection: Deconstructing Cultural Elements for Enhancing Cross-Cultural Appreciation of Chinese Intangible Cultural Heritage  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85089166647&doi=10.1007%2f978-3-030-50267-6_32&partnerID=40&md5=14d1e75da7b7f6acffeae2db6d6c55930 v12215 LNCS3 aAs a traditional handicraft printing and dyeing product of the Han nationality, blue calico has been included in the first batch of national intangible cultural heritage list. Blue printed pattern is famous for its blue and white color characteristics. However, due to monotonous and old pattern design, lack of innovation and other factors, blue calico cannot adapt to the contemporary aesthetic habits, resulting in difficulties in inheritance and regeneration. In order to solve this problem, this paper aims at redesigning and activating the blue calico by combining the traditional pattern with the modern graphic design pattern through machine learning and computer image processing technology. With Inception Score and user satisfaction survey as the evaluation metrics, feasibility of computer image processing technology for the reconstruction of intangible cultural heritage image generation is verified. Finally, design value of generated patterns is proved, and a research model of the relationship between computer image processing technology and intangible cultural heritage design is established.  a03029743 (ISSN); 9783030502669 (ISBN)