Auteur
Mots-clés
Résumé

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.

Année de la conférence
2020
Nom de la conférence
2020 IEEE 7th International Conference On Industrial Engineering And Applications (Iciea 2020)
Nombre de pages
382-389,
Date de publication
2020///
Éditeur
Institute of Electrical and Electronics Engineers Inc.
Langue de publication
English
ISBN-ISSN
9781728167855 (ISBN)
Numéro d'accès
WOS:000578862800071
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
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