Event Querying
Event Querying is a visual querying paradigm that enables the retrieval and analysis of specific occurrences or dynamic activities within visual data by leveraging temporal, spatial, and semantic constraints to distinguish meaningful events from static or background content.
71
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3.6K
Citations
262
Authors
99
Institutions
Publications per year
2017–2026
10
Parents
71
High-performance complex event processing over streams
Eugene Wu, Yanlei Diao, Shariq Rizvi · 2006 · 835 citations
Cayuga: A General Purpose Event Monitoring System.
Alan Demers, Johannes Gehrke, Biswanath Panda et al. · 2007 · 323 citations
Query based event extraction along a timeline
Hai Leong Chieu, Yoong Keok Lee · 2004 · 135 citations
Gregor Leban, Blaž Fortuna, Janez Brank et al. · 2014 · 119 citations
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University of California, Irvine
Irvine, United States
7 h-index
15 publications
288 citations
Georgia Institute of Technology
Atlanta, United States
4 h-index
11 publications
194 citations
Hewlett-Packard (United States)
Palo Alto, United States
3 h-index
6 publications
89 citations
University of Maryland, College Park
College Park, United States
3 h-index
9 publications
648 citations

Worcester Polytechnic Institute
Worcester, United States
3 h-index
10 publications
175 citations

University of Oslo
Oslo, Norway
2 h-index
11 publications
500 citations
Free University of Bozen-Bolzano
Bolzano, Italy
2 h-index
4 publications
72 citations
New York University
New York, United States
2 h-index
8 publications
454 citations
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TVCG · 3 publications · 182 citations
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PVLDB · 2 publications · 23 citations
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2 publications · 65 citations
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2 publications · 70 citations
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1 publications · 11 citations
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