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논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술대회 Implementation of Digital Transformation for Korean Traditional Heritage
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저자
이재호, 이혜빈, 김희권, 박찬우
발행일
202205
출처
International Workshop on Frontiers of Computer Vision (IW-FCV) 2022 (CCIS 1578), pp.1-14
DOI
https://dx.doi.org/10.1007/978-3-031-06381-7_18
협약과제
22IH1800, 실감형 문화유산 체험을 위한 애셋 기반 지능형 큐레이션 및 서비스 운영기술 개발, 이재호
초록
In this paper, we introduce technologies for transforming Korean traditional heritage into digital assets and applying them to various platforms. To transform low resolution and distorted historic images to high-resolution usable digital assets, we have trained deep learning models accustomed to analyzing traditional heritages. We have also established steps and specifications for acquiring high-quality 2D/3D models of traditional heritage for the generation of digital assets. Korean natural language processing and object detection models for analyzing relics tagged with historic information were also implemented for extracting relations and creating an intelligent search system. With the attained digital assets, a web-based intelligent database system was built regarding of an intuitive UI that allows museum curators to easily upload and retrieve the assets needed. Arranging and presenting the attained 3D digital heritage through VR/AR/WEB platforms were achieved through adequate transformation of data formats. By demonstrating and storing traditional relics thorough digital platforms, we expect further development of Korean traditional heritage preservation and education.
KSP 제안 키워드
3d model, Database systems, Digital Asset, Digital Platforms, Further development, Heritage preservation, High-quality, High-resolution, Natural Language Processing, Object detection, data format