An algorithm based on lightweight semantic features for ancient mural element object detection
Luoyang Normal University · Nanjing University of Aeronautics and Astronautics
Abstract
The ancient mural paintings unearthed in China are precious world cultural heritages, which record the historical information of various eras and serve as valuable image materials for studying ancient Chinese society. The elements of the murals include figures, carriages, flowers, birds, and auspicious clouds. The digital research on these elements can better help us understand history and culture. In this paper, we have established a large-scale target detection dataset for mural elements excavated from ancient China, featuring a rich variety of labeled sample categories that span across different historical periods and regions, which provides significant value for the study of ancient Chinese history.…
Citation impact
- FWCI
- 106.24
- Percentile
- 100%
- References
- 43
Authors
6Topics & keywords
- Mural
- Computer science
- Object (grammar)
- Artificial intelligence
- Computer vision
- Element (criminal law)
- Algorithm
- Pattern recognition (psychology)
- Sustainable cities and communities