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Conference Paper
고전 언어로 기록된 디지털 문화유산의 시각적 변환 및 자동 분류 시스템
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- Issue Date
- 2024-06
- Citation
- 대한전자공학회 학술 대회 (하계) 2024, pp.1772-1776
- Publisher
- 대한전자공학회
- Language
- Korean
- Type
- Conference Paper
- Abstract
- In this paper, we explore the use of a generative model for creating images that classify and relationships within cultural heritage. The acceleration of cultural heritage digitization, facilitated by advancements in information and communication technology, often encounters challenges due to the unstructured and complex nature of historical languages. Our approach involves utilizing a Large Language Model (LLM) to convert text from classical languages into English descriptions, which then serve as prompts for generating images. This method aids in the organization of cultural heritage information by visually representing and classifying data, thereby enhancing the management and understanding of heritage assets recorded in complex historical languages.
- KSP Keywords
- Cultural Heritage Information, Generative models, Language Model, communication technologies, information and communication technologies(ICTs)