Visual Pattern Querying
Visual Pattern Querying is a method within the field of visual querying that identifies, retrieves, or analyzes recurring or significant visual structures in data by leveraging pattern recognition techniques to distinguish specific configurations of visual elements based on their spatial, relational, or semantic attributes.
4
Publications
66
Citations
14
Authors
4
Institutions
Publications per year
2017–2026
2
Parents
4
SSTS: A syntactic tool for pattern search on time series
João Rodrigues, Duarte Folgado, David Belo et al. · Information Processing & Management · 2018 · 22 citations · Full text
Tarique Siddiqui, Paul Luh, Zesheng Wang et al. · Proceedings of the VLDB Endowment · 2018 · 13 citations
1–4 of 4
14
1
h-index
1
h-index
1
h-index
Hong Kong University of Science and Technology, Hong Kong SAR China
1 publications · 19 citations
1
h-index
1
h-index
1–5 of 14
4
Fraunhofer Portugal Research
Porto, Portugal
1 h-index
1 publications
22 citations
University of California San Diego
San Diego, United States
1 h-index
2 publications
24 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
5 publications
65 citations

Universidade Nova de Lisboa
Lisbon, Portugal
1 h-index
3 publications
66 citations
1–4 of 4
1 publications · 22 citations
1
h-index
Conference · 1 publications · 19 citations
1
h-index
PVLDB · 1 publications · 13 citations
1
h-index
1 publications · 12 citations
1
h-index
1–4