Studies on Intelligent Curation for the Korean Traditional Cultural Heritage

Jae-Ho Lee, Hee-Kwon Kim, Chan-Woo Park

Abstract: In this paper, we introduce the necessary technologies to use the Korean traditional cultural heritage in immersive content by applying artificial intelligence technology. In fact, the data stored in museums has already been expanded to a huge amount. Recently, there are increasing efforts to convert such vast amounts of traditional cultural heritage image or text data into usable content through the analysis and connection of information using them. The main purpose of this study is to support the response to various content demands such as meta-verse and virtual reality for traditional cultural heritage of Korea. Representative technologies used in Korean traditional cultural heritage introduced in this study can be classified into artificial intelligence-based object detection and high-resolution conversion, and text analysis suitable for the characteristics of Korean traditional cultural heritage.

External IDs:dblp:conf/icaiic/LeeKP22