Sketch-based Querying
Sketch-Based Querying is a visual querying method that enables users to formulate information retrieval requests through freehand sketches, distinguishing itself by leveraging hand-drawn graphical input as the primary query modality rather than textual, symbolic, or pre-defined query languages.
95
Publications
5.9K
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285
Authors
109
Institutions
Publications per year
2017–2026
30
Parents
95
Sketch-based manga retrieval using manga109 dataset
Yusuke Matsui, Kota Ito, Yuji Aramaki et al. · Multimedia Tools and Applications · 2016 · 1.4K citations · Full text
Computing, Data Science, Drawing +16
Semantic-Based Surveillance Video Retrieval
Weiming Hu, Dan Xie, Zhouyu Fu et al. · IEEE Transactions on Image Processing · 2007 · 254 citations
Edgel index for large-scale sketch-based image search
Yang Cao, Changhu Wang, Liqing Zhang et al. · 2011 · 228 citations
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109

Peking University
Beijing, China
7 h-index
24 publications
1.1K citations
University of Konstanz
Konstanz, Germany
5 h-index
7 publications
284 citations
Microsoft Research Asia (China)
Beijing, China
4 h-index
9 publications
902 citations

University of Maine
Orono, United States
4 h-index
7 publications
519 citations
University of Chile
Santiago, Chile
3 h-index
5 publications
239 citations
Nanyang Technological University
Singapore, Singapore
3 h-index
4 publications
131 citations
National Institute of Standards and Technology
Gaithersburg, United States
3 h-index
4 publications
223 citations

Zhejiang University
Hangzhou, China
3 h-index
10 publications
425 citations
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PVLDB · 6 publications · 380 citations
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TVCG · 3 publications · 125 citations
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Repository · 2 publications · 74 citations
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2 publications · 341 citations
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JVLC · 2 publications · 316 citations
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