An Online Community Applying CNN Technology for ICH Craftsmanship Inheritance and Preservation

Enmao Liu, Qiming Jin, Lijuan Liu, Junwu Wang, Cheng Yao, Fangtian Ying
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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.
一个应用CNN技术的网络社区,用于传承和保存ICH工艺
近年来,人工智能技术,特别是图像识别技术取得了很大的进步。本文将基于卷积神经网络(CNN)的图像识别技术应用于非物质文化遗产(ICH)工艺的数字化保护。建立了一个新的在线非遗手工艺传承社区,该社区包括一个按顺序更新的非遗手工艺数据库、一个基于图像识别的搜索系统和一个带有推荐指南的教练系统。毫无疑问,这个生态社区将为不同背景的用户提供一个专业的交流平台。它有助于社区凝聚力,鼓励认同感和责任感,帮助个人感到自己是社区的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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