A Preliminary Survey of Semantic Descriptive Model for Images

TL;DR

This paper introduces a semantic descriptive model for ancient Chinese paintings, integrating iconological theory with a new workflow to enhance image description and cultural analysis.

Contribution

It develops a novel semantic model tailored for ACPs, combining iconological theory with a new term extraction and mapping workflow.

Findings

The model effectively supports art knowledge organization.

SDM facilitates cultural exploration of ACPs.

The approach demonstrates promising results in image description.

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.