Demo Data from VLDB 2026 / reviewers in the wild / expert
Jonathan D. Korein
dblp:09/7004
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 1985
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-author
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 |
Rendering · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Rendering
antialiasing |
0.0 | 1 | 1983 | Temporal anti-aliasing in computer generated animation · SIGGRAPH 1983 |
Rendering › antialiasing
temporal antialiasing |
0.0 | 1 | 1983 | Temporal anti-aliasing in computer generated animation · SIGGRAPH 1983 |
Rendering › temporal rendering
motion blur |
0.0 | 1 | 1983 | Temporal anti-aliasing in computer generated animation · SIGGRAPH 1983 |
Methods — techniques the papers use, named apart from their topics
supersampling · 0.0filtering · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1985 | Positioning and animating human figures in a task-oriented environment
Norman I. Badler, Jonathan D. Korein, James U. Korein, Gerald M. Radack, Lynne S. Brotman Karmin |
Vis. Comput. | 2 |
| 1983 | Temporal anti-aliasing in computer generated animationabstractThe desirability of incorporating temporal anti-aliasing, or motion blur, into computer generated animation is discussed and two algorithms for achieving this effect are described. The first approximates continuous object movement and determines intervals during which each object covers each pixel. Hidden surface removal is then performed, allowing the calculation of visible object intensity functions and subsequent filtering. The second form of algorithm detailed involves supersampling the moving image and then filtering the resulting intensity function to “multiply-expose” each output picture. The effects of filter types and the relationship of the algorithms to forms of spatial anti-aliasing are discussed. Jonathan D. Korein, Norman I. Badler |
SIGGRAPH | 1 |