Interactive Storyboard for Exploring Visual Information in Scientific Publications
Ao Dong, Wei Zeng, Xi Chen, Zhanglin Cheng
A visual analysis system based on large document data uses a selector to allow users to search and filter data to mine document knowledge.
The representative images are used to query and filter the literature data, and different granularity information is displayed by Nebula metaphor and mouse zooming.
Small icons for percentages