EDBT 2026 Demo / reviewers in the wild / expert
Bach D. Bui
dblp:91/7457
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2009
—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 networks
1 paper |
Edge and fog computing · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% | |
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed systems › distributed interactive applications › collaborative computing
real-time collaboration |
0.1 | 1 | 2009 | MobileTI: a portable tele-immersive system · ACM Multimedia 2009 |
Virtual and augmented reality
3d video |
0.0 | 1 | 2009 | MobileTI: a portable tele-immersive system · ACM Multimedia 2009 |
Methods — techniques the papers use, named apart from their topics
video acquisition · 0.3time synchronization · 0.3networking · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | MobileTI: a portable tele-immersive systemabstractWe present MobileTI, a portable tele-immersive system that merges 3D video representations of users in real time to enable remote collaboration across geographical distances. With portability as a main goal, we address the challenges in the camera setup, time synchronization, video acquisition, and networking in the design and implementation of the system. Having been deployed in public performances, MobileTI proves to be effective, efficient, and user-friendly. Our experimental findings in terms of technical performance and user feedback are presented. Wanmin Wu, Raoul Rivas, Ahsan Arefin, Shu Shi, Renata M. Sheppard, Bach D. Bui, Klara Nahrstedt |
ACM Multimedia | 6 |