VisTCP: A Visualization Framework to Construct Knowledge-Graph-Based Representation for Traditional Chinese Painting
Learn how VisTCP constructs knowledge-graph-based representations for Traditional Chinese Paintings, enhancing semantic understanding for art history research
- Apply VisTCP framework to Traditional Chinese Paintings to extract semantic objects and relationships
- Construct knowledge-graph-based representations using VisTCP
- Analyze the constructed knowledge graphs to gain insights into art history and archaeology
- Compare VisTCP with other image-oriented structured representation methods for TCPs
- Evaluate the performance of VisTCP on various TCP datasets
Art historians, archaeologists, and AI researchers can benefit from VisTCP to better analyze and understand Traditional Chinese Paintings
💡 VisTCP provides an effective way for semantic understanding of Traditional Chinese Paintings by characterizing semantic objects and relationships
🎨💡 VisTCP: A Visualization Framework for constructing knowledge-graph-based representations of Traditional Chinese Paintings #AI #ArtHistory
Key Takeaways
Learn how VisTCP constructs knowledge-graph-based representations for Traditional Chinese Paintings, enhancing semantic understanding for art history research
Full Article
Abstract:
arXiv:2607.05841v1 Announce Type: cross Abstract: Structured representation can characterize semantic objects and relationships in images. It provides a possible effective way for the semantic understanding of Traditional Chinese Paintings (TCPs) to better support archaeology and art history research. However, most image-oriented structured representation methods perform poorly on TCPs, due to two major challenges: 1) the objects and events of TCPs exhibit substantial differences from modern nat
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