A Preliminary Survey of Semantic Descriptive Model for Images
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
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| _version_ | 1866916653209485312 |
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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 |