Archival Visualization Based on Time Characteristics and Associations
Yongming Zhao, Yun Ge, Guodong Jing · 2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) · 2022
With the rapid growth of information technology, the number of digital archives in various fields of social life is also growth. Since archive data contains a lot of information, how to mine hidden information and exhibition the patterns underlying the documents in computer vision way has become a key problems. The archival visualization technology based on the combination of time characteristics and association relationships can dynamically link the digital archives with the same theme in the archive library. This paper proposes a visualization method for the analysis results of archives associations, which visualized the archives according to time characteristics and associations through interactive multi-level visualization, and displays the specific content of the archives from the perspective of the whole and individual. In experiment result, the actual case shows that the visualization method can improves the efficiency and quality of archives editing and studying.