@inproceedings{4874,
  keywords = {Artificial intelligence technologies, Community cohesions, Convolutional neural networks, Digital preservation, Digital storage, Ecosystems, Historic preservation, Image recognition, Image recognition technology, Intangible cultural heritages, On-line communities, Professional communication, Search engines, Search system, Tie-dye craftsmanship, convolutional neural network, Digital preservation, Intangible cultural heritage},
  author = {Enmao Liu and Qiming Jin and Lijuan Liu and Junwu Wang and Cheng Yao and Fangtian Ying},
  title = {An Online Community Applying CNN Technology for ICH Craftsmanship Inheritance and Preservation},
  abstract = {In recent years, artificial intelligence technology, especially image recognition technology, has made great progress. In this paper, we will apply the image recognition technology, which based on convolutional neural networks (CNN) to the digital preservation of Intangible Cultural Heritage (ICH) craftsmanship. A novel online ICH craftsmanship inheritance community has been established, which includes a sequentially updated ICH craftsmanship database, a Search-system based on image recognition, and a coach-system with recommended guidelines. Without doubt, this ecological community will offer a professional communication platform for users with different background. It contributes to community cohesion, encouraging a sense of identity and responsibility which helps individuals to feel part of one.},
  year = {2020},
  booktitle = {IEEE Int. Conf. Ind. Eng. Appl., ICIEA},
  pages = {382-389},
  publisher = {Institute of Electrical and Electronics Engineers Inc.},
  school = {Institute of Electrical and Electronics Engineers Inc.},
  isbn = {9781728167855 (ISBN)},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086075359&doi=10.1109%2fICIEA49774.2020.9101983&partnerID=40&md5=a537b36fe32ec55b6f838b3a620b2eef},
  doi = {10.1109/ICIEA49774.2020.9101983},
  note = {Journal Abbreviation: IEEE Int. Conf. Ind. Eng. Appl., ICIEA},
  language = {English},
}