@book{2811, keywords = {Adversarial networks, Algorithm model, Artificial intelligence, Bamboo, Bamboo weaving patterns, Blue calico, Case-studies, Chinese people, Co-design, Computer graphics, Computer image processing, Computer science, Computer Vision, Computers, Cotton fabrics, Deep learning, Design ethnography, Digital cultural heritage, Employment, Evaluation metrics, Experience-centred design (ECD), Generative adversarial networks, Hci researches, Human computer interaction, Human computer interaction (HCI), Image generations, Image processing, Intangible Cultural Heritage Protection, Intangible cultural heritage regeneration, Intangible cultural heritages, Jiangxi Province, Learning systems, machine learning, New approaches, Pattern designs, Practical method, Printed patterns, Printing and dyeing, Research through design (RtD), Stress intensity factors, Traditional Chinese painting, User satisfaction, Weaving patterns}, author = {Y. Wang and R. Fu}, title = {A Methodological Reflection: Deconstructing Cultural Elements for Enhancing Cross-Cultural Appreciation of Chinese Intangible Cultural Heritage}, abstract = {As 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.}, year = {2020}, series = {8th International Conference on Culture and Computing, C and C 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020}, volume = {12215 LNCS}, publisher = {Springer}, school = {Springer}, isbn = {03029743 (ISSN); 9783030502669 (ISBN)}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089166647&doi=10.1007%2f978-3-030-50267-6_32&partnerID=40&md5=14d1e75da7b7f6acffeae2db6d6c5593}, doi = {10.1007/978-3-030-50267-6_32}, note = {Journal Abbreviation: Lect. Notes Comput. Sci. Pages: 438 Publication Title: Lect. Notes Comput. Sci.}, language = {English}, }