Demo Data from EDBT 2026 / reviewers in the wild / expert
Humberto Evans
dblp:37/4904
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2007
—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 · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Multimedia analysis and retrieval › indexing
content-based indexing |
0.1 | 1 | 2007 | Unsupervised content-based indexing for sports video retrieval · ACM Multimedia 2007 |
Multimedia analysis and retrieval › sports video analysis
sports video retrieval |
0.1 | 1 | 2007 | Unsupervised content-based indexing for sports video retrieval · ACM Multimedia 2007 |
Multimedia analysis and retrieval
video retrieval |
0.1 | 1 | 2007 | Unsupervised content-based indexing for sports video retrieval · ACM Multimedia 2007 |
Information retrieval › text analysis
Natural language processing for IR |
0.0 | 1 | 2007 | Unsupervised content-based indexing for sports video retrieval · ACM Multimedia 2007 |
Methods — techniques the papers use, named apart from their topics
unsupervised learning · 0.1grounded language model · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Unsupervised content-based indexing for sports video retrievalabstractThis demonstration presents an interface to a corpus of broadcast baseball games that have been indexed using an unsupervised content-based method introduced here. The method uses the concept of a grounded language model to motivate a framework in which video is searched using natural language with no reliance on predetermined concepts or hand labeled events. The interface demonstrates the effectiveness of the technique and the ease of use it affords the user. Michael Fleischman, Humberto Evans, Deb Roy |
ACM Multimedia | 2 |