Advanced Image and Video Retrieval Techniques
Advanced Image and Video Retrieval Techniques is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 65k research works in it since 1958. 23.1% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the development and evaluation of techniques for extracting, matching, and utilizing local image features for tasks such as object recognition, image retrieval, and scene classification. It covers a wide range of methods including local descriptors, deep learning approaches, binary codes, and cross-modal retrieval techniques.
- Local Descriptors
- Feature Matching
- Object Recognition
- Image Retrieval
- Deep Learning
- Binary Codes
- Scene Classification
- Interest Point Detectors
- Bag-of-Features
- Cross-Modal Retrieval
- Research works
- 65k fractional, since 1958
- In the world top 10%
- 15k per year above
- Top-10% rate
- 23.1% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +6% the tick is no change
Which countries lead Advanced Image and Video Retrieval Techniques research?
By volume, China and the United States publish the most (7.1k and 980 works in 2022–2025).
By volume, 2022–2025
- 1 China 7.1k works
- 2 United States 980 works
- 3 India 972 works
- 4 South Korea 374 works
- 5 Japan 322 works
- 6 United Kingdom 275 works
- 7 Germany 257 works
- 8 Australia 188 works
- 9 France 165 works
- 10 Italy 156 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Advanced Image and Video Retrieval Techniques research?
By volume in 2022–2025, Wuhan University publishes the most Advanced Image and Video Retrieval Techniques research, followed by Xidian University and Chinese Academy of Sciences.
By volume, 2022–2025
- 1 Wuhan UniversityChina 139 works
- 2 Xidian UniversityChina 139 works
- 3 Chinese Academy of SciencesChina 130 works
- 4 Northwestern Polytechnical UniversityChina 110 works
- 5 University of Science and Technology of ChinaChina 108 works
- 6 University of Electronic Science and Technology of ChinaChina 107 works
- 7 Tsinghua UniversityChina 106 works
- 8 National University of Defense TechnologyChina 102 works
- 9 Beijing Institute of TechnologyChina 102 works
- 10 Harbin Institute of TechnologyChina 100 works
Who are the leading researchers in Advanced Image and Video Retrieval Techniques?
The most-cited researchers publishing on Advanced Image and Video Retrieval Techniques include Andrew Zisserman, Piotr Dollár and Kaiming He.
- 1 Andrew Zisserman United Kingdom 25k citations
- 2 Piotr Dollár Israel 20k citations
- 3 Kaiming He Israel 17k citations
- 4 Li Fei-Fei United States 17k citations
- 5 Yoshua Bengio Canada 17k citations
- 6 Serge Belongie United States 14k citations
- 7 Xiaogang Wang Russia 13k citations
- 8 Yangqing Jia United States 12k citations
- 9 Jitendra Malik United States 12k citations
- 10 Tsung-Yi Lin United States 11k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Advanced Image and Video Retrieval Techniques research done?
The largest centres of Advanced Image and Video Retrieval Techniques research in 2022–2025 are Beijing (China), Xi'an (China), Shanghai (China) and Wuhan (China). Among places with at least 20 works in it, it is an unusually large share of all research in Guilin, Shenzhen and Xi'an.
Largest cities, 2022–2025
Where it is the local speciality
- GuilinCN · 72.5 works6.9×
- ShenzhenCN · 215.5 works5.0×
- Xi'anCN · 481.7 works4.9×
- Beijing25.4 works4.8×
Location quotient: how much more of its research is in Advanced Image and Video Retrieval Techniques than the world average.
Where is the best place to study Advanced Image and Video Retrieval Techniques?
Among universities, judged by research, Xidian University, Wuhan University and Mohamed bin Zayed University of Artificial Intelligence score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Xidian UniversityChina | 70.8 | 30.0% | 15.0× | 139 | +63.2% |
| 2 | Wuhan UniversityChina | 70.6 | 34.3% | 9.1× | 139 | +51.5% |
| 3 | Mohamed bin Zayed University of Artificial IntelligenceUnited Arab Emirates | 66.4 | 39.6% | 21.6× | 11 | — |
| 4 | Northwestern Polytechnical UniversityChina | 65.5 | 36.9% | 7.6× | 110 | +36.2% |
| 5 | Aerospace Information Research InstituteChina | 64.1 | 37.5% | 21.4× | 32 | — |
| 6 | National University of Defense TechnologyChina | 62.0 | 24.5% | 10.5× | 102 | +27.4% |
| 7 | University of Electronic Science and Technology of ChinaChina | 61.2 | 21.9% | 7.5× | 106 | +116.2% |
| 8 | University of Chinese Academy of SciencesChina | 60.4 | 28.2% | 4.7× | 98 | +169.3% |
| 9 | Xinjiang UniversityChina | 59.7 | 25.7% | 7.3× | 40 | +252.9% |
| 10 | Beijing University of Posts and TelecommunicationsChina | 58.9 | 16.9% | 10.2× | 78 | +66.9% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Advanced Image and Video Retrieval Techniques research growing?
Output in 2018–2022 was 6% higher than in 2013–2017, peaking in 2023. The fastest-growing topics are Advanced Image and Video Retrieval Techniques.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.