Concept-Based Retrieval is a semantic search paradigm within multimedia retrieval that distinguishes itself by retrieving content based on high-level conceptual meanings derived from multimodal data, rather than relying solely on low-level features or literal keyword matches.
442
Publications
20.4K
Citations
1.1K
Authors
400
Institutions
Publications per year
2017–2026
43
Publications
442
Dana Angluin · Machine Learning · 1988 · 1.6K citations · Full text
Dana Angluin · Machine Learning · 1988 · 820 citations · Full text
Yonggang Qiu, Hans-Peter Frei · 1993 · 717 citations · Full text
Bart Meyns, Stefan Klotz, André Simon et al. · Journal of the American College of Cardiology · 2009 · 352 citations
1–5 of 442
Authors
1.1K
- MS
13
h-index
- SC
9
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- AG
9
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- CG
9
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- MW
7
h-index
1–5 of 1.1K
Institutions
400
Columbia University
New York, United States
15 h-index
31 publications
2.5K citations
University of Miami
Coral Gables, United States
13 h-index
34 publications
975 citations
University of Amsterdam
Amsterdam, The Netherlands
12 h-index
35 publications
1K citations
Carnegie Mellon University
Pittsburgh, United States
11 h-index
26 publications
2K citations
National University of Singapore
Singapore, Singapore
10 h-index
24 publications
1.2K citations
University of Illinois Urbana-Champaign
Urbana, United States
10 h-index
18 publications
803 citations
Florida International University
Miami, United States
9 h-index
17 publications
449 citations
IBM (United States)
Armonk, United States
9 h-index
20 publications
2K citations
1–8 of 400
Venues
- IEEE Transactions on Multimedia
9 publications · 753 citations
9
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- Multimedia Tools and Applications
8 publications · 172 citations
9
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- Information Processing & Management
9 publications · 212 citations
9
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- ACM Transactions on Multimedia Computing Communications and Applications
TOMCCAP · 5 publications · 65 citations
5
h-index
- Engineering Applications of Artificial Intelligence
4 publications · 105 citations
4
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1–5