A Preliminary Survey of Semantic Descriptive Model for Images

Fuente: arXiv
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Main Authors: Yan, Chengxi, Jian, Jie, Li, Yang
Format: Preprint
Published: 2025
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author Yan, Chengxi
Jian, Jie
Li, Yang
author_facet Yan, Chengxi
Jian, Jie
Li, Yang
contents Considering the lack of a unified framework for image description and deep cultural analysis at the subject level in the field of Ancient Chinese Paintings (ACP), this study utilized the Beijing Palace Museum's ACP collections to develop a semantic model integrating the iconological theory with a new workflow for term extraction and mapping. Our findings underscore the model's effectiveness. SDM can be used to support further art-related knowledge organization and cultural exploration of ACPs.
format Preprint
id arxiv_https___arxiv_org_abs_2501_08352
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Preliminary Survey of Semantic Descriptive Model for Images
Yan, Chengxi
Jian, Jie
Li, Yang
Digital Libraries
Computer Vision and Pattern Recognition
68-06
J.5
Considering the lack of a unified framework for image description and deep cultural analysis at the subject level in the field of Ancient Chinese Paintings (ACP), this study utilized the Beijing Palace Museum's ACP collections to develop a semantic model integrating the iconological theory with a new workflow for term extraction and mapping. Our findings underscore the model's effectiveness. SDM can be used to support further art-related knowledge organization and cultural exploration of ACPs.
title A Preliminary Survey of Semantic Descriptive Model for Images
topic Digital Libraries
Computer Vision and Pattern Recognition
68-06
J.5
url https://arxiv.org/abs/2501.08352