An Online Community Applying CNN Technology for ICH Craftsmanship Inheritance and Preservation
| Autor: | Qiming Jin, Lijuan Liu, Fangtian Ying, Cheng Yao, Enmao Liu, Junwu Wang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Community cohesion
060101 anthropology Knowledge management Intangible cultural heritage Computer science business.industry 05 social sciences 050301 education Professional communication 06 humanities and the arts Online community Inheritance (object-oriented programming) Digital preservation Identity (object-oriented programming) 0601 history and archaeology business 0503 education |
| Zdroj: | 2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA). |
| DOI: | 10.1109/iciea49774.2020.9101983 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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