Visual Data Retrieval
Visual Data Retrieval is a computational process within the domain of visual querying that involves locating and extracting relevant visual data instances from a repository based on specified visual or multimodal queries, distinguished by its focus on content-based matching and indexing of visual features.
147
Publications
7.1K
Citations
471
Authors
198
Institutions
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2017–2026
26
Parents
147
Amarnath Gupta, Ramesh Jain · Communications of the ACM · 1997 · 641 citations · Full text
An intelligent image database system
S.-K. Chang, Chaozhong Yan, D.C. Dimitroff et al. · IEEE Transactions on Software Engineering · 1988 · 273 citations
Semantic visual templates: linking visual features to semantics
Shuli Cheng, William Chen, Hari Sundaram · 2002 · 177 citations
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University at Buffalo, State University of New York, United States
3 publications · 191 citations
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1–5 of 471
198
Columbia University
New York, United States
7 h-index
17 publications
2.2K citations
University of Klagenfurt
Klagenfurt, Austria
5 h-index
11 publications
239 citations
Institute for Interdisciplinary Studies of Austrian Universities
Vienna, Austria
4 h-index
9 publications
179 citations
University of Florence
Florence, Italy
3 h-index
9 publications
753 citations
University at Buffalo, State University of New York
Buffalo, United States
3 h-index
6 publications
321 citations

Zhejiang University
Hangzhou, China
3 h-index
15 publications
735 citations
Tsinghua University
Beijing, China
3 h-index
6 publications
68 citations
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"
Pisa, Italy
3 h-index
12 publications
229 citations
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6 publications · 377 citations
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4 publications · 157 citations
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4 publications · 167 citations
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TKDE · 4 publications · 304 citations
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TVCG · 3 publications · 192 citations
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