Demo Data from EDBT 2026 / reviewers in the wild / expert
Jurriaan Besenbruch
dblp:228/1349
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—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 |
Multimedia analysis and retrieval · 62% Visualization and visual analytics · 38% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics
3d visualization |
0.1 | 1 | 2018 | ArtSight: An Artistic Data Exploration Engine · ACM Multimedia 2018 |
Visualization and visual analytics
interactive data exploration |
0.1 | 1 | 2018 | ArtSight: An Artistic Data Exploration Engine · ACM Multimedia 2018 |
Methods — techniques the papers use, named apart from their topics
unsupervised color palette extraction · 0.3hierarchical filtering · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | ArtSight: An Artistic Data Exploration EngineabstractThis technical demo presents ArtSight, a comprehensive query-by-color explorative interface built on top of the large scale artistic dataset OmniArt. Color is of paramount importance in the artistic realm and querying such large data collections by colors that appear in their palette allows for intuitive exploration. This demo allows users to browse the 3 million artwork items in the OmniArt collection by color, and hierarchically filter each result-set by multiple attributes existing in the collection itself. Colors are extracted from the digital photographic reproductions in an unsupervised fashion in palettes of twelve and matched with their meta-data seamlessly to exploit both modalities in our filtering module. The user interaction quality is moderated by a responsive framework with touch capability and an unfoldable interactive 3D sphere visualization offering two exploration options - CompactExplore or GridExplore. Gjorgji Strezoski, Inske Groenen, Jurriaan Besenbruch, Marcel Worring |
ACM Multimedia | 3 |