Demo Data from EDBT 2026 / reviewers in the wild / expert
Eu-Mi Ji
dblp:38/6797
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2000
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 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.
| Human-computer interaction and pervasive computing
1 paper |
Interaction techniques and input · 77% Immersive interaction · 23% | |
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Virtual and augmented reality › navigation
3d navigation |
0.0 | 1 | 2000 | Touring into the picture using hand shape recognition (poster session) · ACM Multimedia 2000 |
Interaction techniques and input
gesture input |
0.0 | 1 | 2000 | Touring into the picture using hand shape recognition (poster session) · ACM Multimedia 2000 |
Immersive interaction
3d user interface |
0.0 | 1 | 2000 | Touring into the picture using hand shape recognition (poster session) · ACM Multimedia 2000 |
Methods — techniques the papers use, named apart from their topics
hand shape gesture recognition · 0.12d-to-3d image conversion · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2000 | Touring into the picture using hand shape recognition (poster session)abstractThe purpose of this study is to prove that using gesture recognition through implementing the method of touring into the picture makes navigation very convenient and easy compared to navigation using mouse and keyboard. The method of touring into the picture is a simple technique that converts an 2D image into 3D animation. This study shows how to convert 2D image into 3D navigation, implementing the method previously proposed by Horry and Phy on the personal computer. Hand shape gesture recognition which functions as a user interface has been developed into three types: Type-1 means pause, Type-2 means showing directions on 2D; Type-3 is designed to assign upper and lower depth in space. These three types play the role as virtual mouse and keyboard in 3D-rendering image. Above all, using hand-shaped gestures contributes to the ease of user's navigation of 3D space.. Eu-Mi Ji, Ho-Sub Yoon, Younglae J. Bae |
ACM Multimedia | 1 |