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An analysis of the appearance characteristics of Korean ceramics per era through statistical analysis of metadata annotated with a visual element classification system of ceramics

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Abstract
This study is to create metadata with a ceramic visual element classification system, such as color, form, material, and pattern, and then to analyze the visual characteristics of Korean ceramics by era through this metadata statistical analysis. To achieve this, first, the visual element classification system for ceramics was established. Second, 7,346 ceramic photos were acquired and annotated using the visual element classification system to create metadata. Third, through statistical analysis of the metadata, the preferred visual elements in each era were organized, and their characteristics were analyzed. In particular, the differences in form implementation, color technology, and pattern representation, which vary depending on material properties, were identified. Through this study, the flow of visual elements of Korean ceramics and the reason for each type of appearance and production method could be comprehended more systematically.
Author(s)
Yi, Ji HyunLee, HyunsooKim, Songei
Issued Date
2022-04
Type
Article
DOI
10.1186/s40494-022-00684-8
URI
https://scholar.gist.ac.kr/handle/local/10892
Publisher
Springer Science + Business Media
Citation
Heritage Science, v.10, no.1
ISSN
2050-7445
Appears in Collections:
Department of AI Convergence > 1. Journal Articles
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