Visual Query Suggestion is a computational framework that, within the context of visual information retrieval, generates ranked alternative or refined queries in visual or multimodal form to assist users in iteratively improving or disambiguating their initial visual queries.
9
Publications
746
Citations
30
Authors
11
Institutions
Publications per year
2017–2026
0
Parents
Publications
9
Query suggestion using hitting time
Qiaozhu Mei, Dengyong Zhou, Kenneth Church · 2008 · 315 citations
Zheng-Jun Zha, Linjun Yang, Tao Mei et al. · 2009 · 178 citations
Zheng-Jun Zha, Linjun Yang, Tao Mei et al. · ACM Transactions on Multimedia Computing Communications and Applications · 2010 · 129 citations
Peipei Yi, Byron Choi, Sourav S. Bhowmick et al. · Proceedings of the VLDB Endowment · 2016 · 26 citations
1–5 of 9
Authors
30
- TM
3
h-index
- MW
3
h-index
- ZW
2
h-index
- LY
2
h-index
- TC
2
h-index
1–5 of 30
Institutions
11
Microsoft Research Asia (China)
Beijing, China
5 h-index
15 publications
1.2K citations
National University of Singapore
Singapore, Singapore
2 h-index
7 publications
313 citations
University of Science and Technology of China
Hefei, China
2 h-index
4 publications
614 citations
Microsoft (United States)
Redmond, United States
2 h-index
4 publications
680 citations
École de Technologie Supérieure
Montreal, Canada
1 h-index
2 publications
26 citations
Hong Kong Baptist University
Hong Kong, Hong Kong
1 h-index
3 publications
78 citations
Kyoto University
Kyoto, Japan
1 h-index
2 publications
62 citations
Université de Sherbrooke
Sherbrooke, Canada
1 h-index
2 publications
26 citations
1–8 of 11
Venues
- ACM Transactions on Multimedia Computing Communications and Applications
TOMCCAP · 2 publications · 140 citations
2
h-index
- Pattern Recognition
1 publications · 13 citations
1
h-index
- Proceedings of the VLDB Endowment
PVLDB · 1 publications · 26 citations
1
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1–3