Egilea | |
Hitz-gakoak |
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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 of Publication |
2020
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Number of Pages |
382-389
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Acta title |
IEEE Int. Conf. Ind. Eng. Appl., ICIEA
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Publisher |
Institute of Electrical and Electronics Engineers Inc.
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Publication Language |
English
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ISBN-ISSN |
9781728167855 (ISBN)
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URL |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086075359&doi=10.1109%2fICIEA49774.2020.9101983&partnerID=40&md5=a537b36fe32ec55b6f838b3a620b2eef
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DOI |
10.1109/ICIEA49774.2020.9101983
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