Demo Data from SIGIR 2026 / reviewers in the wild / expert
Meng Yang 0006
dblp:44/2761-6
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2019
0009-0006-2267-7612ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1Graphics, 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.
| Computer graphics and multimedia
1 paper |
Multimedia analysis and retrieval · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Multimedia analysis and retrieval › video retrieval › semantic video retrieval
concept-based video retrieval |
0.0 | 1 | 2004 | The relative effectiveness of concept-based versus content-based video retrieval · ACM Multimedia 2004 |
Multimedia analysis and retrieval
video retrieval |
0.0 | 1 | 2004 | The relative effectiveness of concept-based versus content-based video retrieval · ACM Multimedia 2004 |
Methods — techniques the papers use, named apart from their topics
interactive search evaluation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | The usefulness of multimedia surrogates for making relevance judgments about digital video objects
Barbara M. Wildemuth, Gary Marchionini, Xin Fu 0002, Jun Sung Oh, Meng Yang 0006 |
Inf. Process. Manag. | 5 |
| 2004 | The relative effectiveness of concept-based versus content-based video retrievalabstractThree video search systems were compared in the interactive search task at the TRECVID 2003 workshop: a text-only system, which searched video shots through transcripts; a features-only system, which searched video shots through 16 video content features (e.g., airplanes and people); and a combined system, which searched through both transcripts and content features. 36 participants each completed 12 video search tasks. The hypothesis that the combined system would perform better than both the text-only and the features-only systems was not supported, and large topic effects were found. Further analysis showed that concept-based video retrieval worked best for specific topics, whereas the hybrid retrieval techniques which combine both concept- and content-based video retrieval showed some advantage when searching for generic topics. The results have implications for topic/task analysis for video retrieval research, and also for the implementation of hybrid video retrieval systems. Meng Yang 0006, Barbara M. Wildemuth, Gary Marchionini |
ACM Multimedia | 1 |