EDBT 2026 Demo / reviewers in the wild / expert
Marcus Dostie
dblp:137/2120
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics
movement data analysis |
0.2 | 1 | 2013 | Space Transformation for Understanding Group Movement · IEEE Trans. Vis. Comput. Graph. 2013 |
Visualization and visual analytics › data transformation
spatial transformation |
0.0 | 1 | 2013 | Space Transformation for Understanding Group Movement · IEEE Trans. Vis. Comput. Graph. 2013 |
Methods — techniques the papers use, named apart from their topics
trajectory transformation · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Space Transformation for Understanding Group MovementabstractWe suggest a methodology for analyzing movement behaviors of individuals moving in a group. Group movement is analyzed at two levels of granularity: the group as a whole and the individuals it comprises. For analyzing the relative positions and movements of the individuals with respect to the rest of the group, we apply space transformation, in which the trajectories of the individuals are converted from geographical space to an abstract 'group space'. The group space reference system is defined by both the position of the group center, which is taken as the coordinate origin, and the direction of the group's movement. Based on the individuals' positions mapped onto the group space, we can compare the behaviors of different individuals, determine their roles and/or ranks within the groups, and, possibly, understand how group movement is organized. The utility of the methodology has been evaluated by applying it to a set of real data concerning movements of wild social animals and discussing the results with experts in animal ethology. Natalia V. Andrienko, Gennady L. Andrienko, Louise Barrett, Marcus Dostie, S. Peter Henzi |
IEEE Trans. Vis. Comput. Graph. | 4 |