Construction of Image Database Based on Computer Vision and Large Models
Project Description
Digital art history database with multilingual annotation and computer vision applications. Includes Yearbook of Contemporary Chinese Art development, Global Image Fragment Survey for Han Dynasty Painting Stone, and Translation and Research of World Art History Classics with NLP-based multilingual annotation tools.
Research Subprojects
Yearbook of Contemporary Chinese Art
Developed Python-based web crawler for Wu Zuoren International Art Foundation's Chinese Modern Archive project collecting targeted literature on Chinese Art (2022–2024) for Peking University's Center for Visual Studies
Digitalization of Cultural Heritage
Built online exhibition demo for Han Dynasty Painting Stone defined data annotation methods based on Xingxiang Theory
Translation and Research of World Art History Classics
Organized art history terminology database and developed multilingual annotation tool using NLP techniques
Digital Humanities Project
Conducted research on digital humanities based on data mining and NLP techniques
Collaborations
Partner Institutions
World Arthistory Institute
Shanghai, China
Institute
Peking University
Collaborating Institution
Supervisors / Mentors
Other Collaborators
Jiacheng Li
Title: Graduate Student
Department: World Arthistory Institute
University: Shanghai International Studies University
Subprojects: Digitalization of Cultural Heritage
Qingyang Wu
Title: Graduate Student
Department: Institute of Language Sciences
University: Shanghai International Studies University
Subprojects: Digitalization of Cultural Heritage
Project Outputs & Publications
Conferences
Fine-Grained Egyptain Coffin Line Drawings: Data Augmentation for Cultural Heritage Line Drawing Generation
2025Venue: CCF China Computational Art Conference