ScrollTimes: Tracing the Provenance of Paintings as a Window into History
Wei Zhang, Wong Kam-Kwai, Yitian Chen, Ailing Jia, Luwei Wang,, Jian-Wei Zhang, Lechao Cheng, Huamin Qu, and Wei Chen

TL;DR
ScrollTimes is a system that combines image processing, language models, and interactive visualization to trace the provenance of Chinese handscroll paintings, providing a comprehensive historical biography for art historians.
Contribution
The paper introduces a novel three-tiered methodology and a visual analysis system, ScrollTimes, for detailed provenance analysis of handscrolls, integrating multiple data sources and expert validation.
Findings
Effective extraction of provenance data from handscrolls
Enhanced interactive analysis for art historians
Validated approach through case studies and expert feedback
Abstract
The study of cultural artifact provenance, tracing ownership and preservation, holds significant importance in archaeology and art history. Modern technology has advanced this field, yet challenges persist, including recognizing evidence from diverse sources, integrating sociocultural context, and enhancing interactive automation for comprehensive provenance analysis. In collaboration with art historians, we examined the handscroll, a traditional Chinese painting form that provides a rich source of historical data and a unique opportunity to explore history through cultural artifacts. We present a three-tiered methodology encompassing artifact, contextual, and provenance levels, designed to create a "Biography" for handscroll. Our approach incorporates the application of image processing techniques and language models to extract, validate, and augment elements within handscroll using…
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Taxonomy
TopicsImage Processing and 3D Reconstruction · 3D Surveying and Cultural Heritage · Handwritten Text Recognition Techniques
