Research on Digital Indexing System for Artworks Driven by Artificial Intelligence

Yuke Meng; Han Li; Xiaomeng Xu; Tianwen Jiang

doi:10.5281/zenodo.13958935

Authors

Yuke Meng Sichuan Film and Television University
Han Li China Computer Association
Xiaomeng Xu Qingdao Hengxing University
Tianwen Jiang Wuhan University of Communication

DOI:

https://doi.org/10.5281/zenodo.13958935

Keywords:

Artificial intelligence, Digital index, Index of works of art, Index system

Abstract

This research analyzes in detail the application of artificial intelligence technology in the digital index system of art works, and proves its significant effect on improving the efficiency of art works management, strengthening academic research support and enhancing public art experience. By integrating advanced technologies such as machine learning, deep learning and computer vision, the system is able to automate the processing and analysis of huge datasets of art works, enabling accurate and fast information retrieval and rich data analysis. The application of this technology greatly reduces the need for manual operation, improves the accuracy and efficiency of data processing, and provides the public with a more in-depth and personalized art experience through intelligent recommendation and interactive learning platforms. The artificial intelligence-driven digital index system for works of art is an important innovation in the field of art management and display, showing the broad prospect of the integration of art and technology.

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