ScrollTimes: Tracing the Provenance of Paintings as a Window into History
Not on the map. Why?
Abstract (arXiv)
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 various cultural heritage databases. To facilitate efficient analysis of non-contiguous extracted elements, we have developed a distinctive layout. Additionally, we introduce ScrollTimes, a visual analysis system tailored to support the three-tiered analysis of handscroll, allowing art historians to interactively create biographies tailored to their interests. Validated through case studies and expert interviews, our approach offers a window into history, fostering a holistic understanding of handscroll provenance and historical significance.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 13 of its 93 references that are in the map. First posted on arXiv 15 Jun 2023.
Builds on
13 of 93 references.
References · 13
- 2015Deep Residual Learning for Image Recognitioncited by 52,096
- 2020Bootstrap your own latent: A new approach to self-supervised Learningcited by 4,750
- 2017Rethinking Atrous Convolution for Semantic Image Segmentationcited by 2,161
- 2021YOLOX: Exceeding YOLO Series in 2021cited by 1,071
- 2019StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understandingcited by 109
- 2021Improving Named Entity Recognition by External Context Retrieving and Cooperative Learningcited by 76
- 2023XNLI: Explaining and Diagnosing NLI-based Visual Data Analysiscited by 19
- 2020Survey on Visual Analysis of Event Sequence Datacited by 10
- 2021Explaining with Examples: Lessons Learned from Crowdsourced Introductory Description of Information Visualizationscited by 8
- 2023Anchorage: Visual Analysis of Satisfaction in Customer Service Videos via Anchor Eventscited by 7
- 2020TaxThemis: Interactive Mining and Exploration of Suspicious Tax Evasion Groupcited by 6
- 2022CohortVA: A Visual Analytic System for Interactive Exploration of Cohorts based on Historical Datacited by 5
Built on by
Citing papers per year: 2023: 1; 2024: 1; 2025: 0; 2026: 1.
3 papers.
- 2023PromptMagician: Interactive Prompt Engineering for Text-to-Image Creationcited by 58
- 2024Prismatic: Interactive Multi-View Cluster Analysis of Concept Stockscited by 0
- 2026VisTCP: A Visualization Framework to Construct Knowledge-Graph-Based Representation for Traditional Chinese Paintingcited by 0
- 2026VisTCP: A Visualization Framework to Construct Knowledge-Graph-Based Representation for Traditional Chinese Painting7 Jul 2026
- 2024Prismatic: Interactive Multi-View Cluster Analysis of Concept Stocks14 Feb 2024
- 2023PromptMagician: Interactive Prompt Engineering for Text-to-Image Creation18 Jul 2023