A Preliminary Survey of Semantic Descriptive Model for Images

Chengxi Yan, Jie Jian, Yang Li
1/13/2025
cs.DLcs.CV

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Abstract

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.

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Cite this paper

@article{yan2025preliminary,
  title  = {A Preliminary Survey of Semantic Descriptive Model for Images},
  author = {Chengxi Yan and Jie Jian and Yang Li},
  year   = {2025},
  eprint = {2501.08352},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2501.08352v1}
}

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