Volume exploration is an important issue in scientific visualization. Research on volume exploration has been focused on revealing hidden structures in volumetric data. While the i...
Community detection in social networks varying with time is a common yet challenging problem whereby efficient visualization of evolving relationships and implicit hierarchical s...
In this paper, we propose a framework to model video sequences using spatiotemporal description of video shots. Spatiotemporal volumes are extracted thanks to an efficient segment...
Rapid growth in 3-D rendering technologies has deluged us with glitzy graphical representations. In what contexts do people find 3-D graphs of 2-D data both attractive and useful?...
Ellen Levy, Jeff Zacks, Barbara Tversky, Diane J. ...
Social network analysis (SNA) has been used to study the relationships between actors in social networks, revealing their features and patterns. In most cases, nodes and edges in g...