Science Explorer Back to mapMap
Discussion
Topic · Computer Vision and Pattern Recognition

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. 9.7% 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%
6.2k
per year above
Top-10% rate
9.7%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+14%
the tick is no change
Largest producer
China
67% of the 10 largest, 2022-now
Advanced Image and Video Retrieval Techniques

Which countries lead Advanced Image and Video Retrieval Techniques research?

By volume, China and the United States publish the most (7.9k and 1.1k works in 2022-now).

By volume, 2022-now

  1. 1 China 7.9k works
  2. 2 United States 1.1k works
  3. 3 India 1.1k works
  4. 4 South Korea 400 works
  5. 5 Japan 339 works
  6. 6 United Kingdom 291 works
  7. 7 Germany 274 works
  8. 8 Australia 198 works
  9. 9 France 175 works
  10. 10 Italy 165 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.

China: 66.6%United States: 8.9%India: 8.9%South Korea: 3.4%6 others listed: 12.2%67%largest
China7,870 · 66.6%United States1,056 · 8.9%India1,054 · 8.9%South Korea400 · 3.4%6 others listed1,443 · 12.2%

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-now, Chinese Academy of Sciences publishes the most Advanced Image and Video Retrieval Techniques research, followed by Wuhan University and Xidian University.

By volume, 2022-now

  1. 1 Chinese Academy of SciencesChina 346 works
  2. 2 Wuhan UniversityChina 150 works
  3. 3 Xidian UniversityChina 149 works
  4. 4 Northwestern Polytechnical UniversityChina 117 works
  5. 5 Tsinghua UniversityChina 114 works
  6. 6 University of Science and Technology of ChinaChina 113 works
  7. 7 University of Electronic Science and Technology of ChinaChina 112 works
  8. 8 Zhejiang UniversityChina 111 works
  9. 9 National University of Defense TechnologyChina 109 works
  10. 10 Harbin Institute of TechnologyChina 108 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 Kaiming He, Yoshua Bengio and Geoffrey E. Hinton.

  1. 1 Kaiming He Israel 562k citations
  2. 2 Yoshua Bengio Canada 476k citations
  3. 3 Geoffrey E. Hinton Canada 454k citations
  4. 4 Shaoqing Ren China 356k citations
  5. 5 Ross Girshick Israel 356k citations
  6. 6 Jun Wang China 340k citations
  7. 7 Xiangyu Zhang 327k citations
  8. 8 Trevor Hastie United States 301k citations
  9. 9 Sudhir Kumar United States 295k citations
  10. 10 Jian Sun 281k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Advanced Image and Video Retrieval Techniques?

The most cited paper in Advanced Image and Video Retrieval Techniques is "Deep Residual Learning for Image Recognition" (Kaiming He, Xiangyu Zhang, Shaoqing Ren et al., 2016), with 229,585 citations. Next come "ImageNet: A large-scale hierarchical image database" (63,518) and "Distinctive Image Features from Scale-Invariant Keypoints" (56,041).

Most cited papers
#PaperReleasedCitations
1 Deep Residual Learning for Image Recognition Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. Conference paperOpen access Jun 2016 229,585
2 ImageNet: A large-scale hierarchical image database Jia Hao Deng, Wei Dong, Richard Socher et al. · 2009 IEEE Conference on Computer Vision and Pattern Recognition Conference paper Jun 2009 63,518
3 Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe · International Journal of Computer Vision 2 Jun 2004 56,041
4 Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren, Kaiming He, Ross Girshick et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence 6 Jun 2016 55,999
5 Going deeper with convolutions Christian Szegedy, Wei Liu, Yangqing Jia et al. Conference paper Jun 2015 47,422
All 98 most cited papers, with filters and sorting

Where is Advanced Image and Video Retrieval Techniques research done?

The largest centres of Advanced Image and Video Retrieval Techniques research in 2022-now 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, Beijing and Shenzhen.

Largest cities, 2022-now

  1. 1 BeijingChina 1.5k works
  2. 2 Xi'anChina 517 works
  3. 3 ShanghaiChina 513 works
  4. 4 WuhanChina 446 works
  5. 5 NanjingChina 406 works
  6. 6 HangzhouChina 295 works
  7. 7 GuangzhouChina 293 works
  8. 8 ChengduChina 258 works
  9. 9 ChangshaChina 247 works
  10. 10 ShenzhenChina 230 works

Where it is the local speciality

  1. GuilinCN · 79.6 works7.0×
  2. Beijing27.5 works5.1×
  3. ShenzhenCN · 229.7 works5.0×
  4. Xi'anCN · 516.8 works4.9×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Advanced Image and Video Retrieval Techniques than the world average.

See Advanced Image and Video Retrieval Techniques on the map

Where is the best place to study Advanced Image and Video Retrieval Techniques?

Among universities, judged by research, Northwestern Polytechnical University, Wuhan University and Xidian University 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.

0%10%20%30%mean 19.49%fractional works in this field (log) →share of work in the world top 10% →Mohamed bin Zayed Un…Northwestern Polytec…Wuhan UniversityXidian University
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Northwestern Polytechnical UniversityChina 72.921.8%8.6×117 +40.3%
2Wuhan UniversityChina 71.818.3%8.9×150 +36.9%
3Xidian UniversityChina 70.416.1%17.1×149 +42.8%
4Mohamed bin Zayed University of Artificial IntelligenceUnited Arab Emirates 67.126.1%23.4×11 +612.6%
5Hong Kong University of Science and TechnologyChina 65.819.2%6.5×32 +64.9%
6University of Science and Technology of ChinaChina 64.312.4%8.0×113 +60.4%
7Zhejiang UniversityChina 64.317.1%3.5×111 +39.8%
8University of OxfordUnited Kingdom 64.219.2%1.2×21 +20.5%
9University of Hong KongChina 64.122.3%2.8×31 +145.4%
10Nanyang Technological UniversitySingapore 63.622.4%5.1×49 +0.2%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Advanced Image and Video Retrieval Techniques, country by country

Is Advanced Image and Video Retrieval Techniques research growing?

Output in 2022-2025 was 14% higher than in 2018-2021, peaking in 2023. The fastest-growing topics are Advanced Image and Video Retrieval Techniques.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Advanced Image and Video Retrieval Techniques as a percentage of every work published that year, 0.060% in 2024.

still counting0.050%0.10%Advanced Image and Video Retrieval Techniques0.055% in 202519801990200020102020

Fractional works of Advanced Image and Video Retrieval Techniques over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Advanced Image and Video Retrieval Techniques9.6% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

Discussion

Ask a question or share a note about Advanced Image and Video Retrieval Techniques. Posts are plain text and can be reported.