Image and Video Quality Assessment
Image and Video Quality Assessment is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 20k research works in it since 1951. 17.5% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the assessment of image and video quality, covering topics such as perceptual quality, no-reference assessment, deep learning, structural similarity index, HTTP adaptive streaming, blur assessment, and quality of experience in multimedia content.
- Image Quality Assessment
- Perceptual Quality
- Video Streaming
- No-Reference Assessment
- Deep Learning
- Structural Similarity Index
- HTTP Adaptive Streaming
- Blur Assessment
- Quality of Experience
- Stereoscopic Images
- Research works
- 20k fractional, since 1951
- In the world top 10%
- 3.5k per year above
- Top-10% rate
- 17.5% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +2% the tick is no change
Which countries lead Image and Video Quality Assessment research?
By volume, China and the United States publish the most (1.3k and 363 works in 2022–2025).
By volume, 2022–2025
- 1 China 1.3k works
- 2 United States 363 works
- 3 India 282 works
- 4 South Korea 138 works
- 5 Japan 136 works
- 6 United Kingdom 108 works
- 7 Germany 105 works
- 8 France 86 works
- 9 Brazil 76 works
- 10 Canada 75 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 Image and Video Quality Assessment research?
By volume in 2022–2025, Shanghai Jiao Tong University publishes the most Image and Video Quality Assessment research, followed by Beijing University of Posts and Telecommunications and Tsinghua University.
By volume, 2022–2025
- 1 Shanghai Jiao Tong UniversityChina 55 works
- 2 Beijing University of Posts and TelecommunicationsChina 39 works
- 3 Tsinghua UniversityChina 32 works
- 4 Xidian UniversityChina 29 works
- 5 University of Science and Technology of ChinaChina 26 works
- 6 Peking UniversityChina 20 works
- 7 Shenzhen UniversityChina 20 works
- 8 Nanyang Technological UniversitySingapore 19 works
- 9 Tianjin UniversityChina 19 works
- 10 Ningbo UniversityChina 18 works
Who are the leading researchers in Image and Video Quality Assessment?
The most-cited researchers publishing on Image and Video Quality Assessment include Ming–Hsuan Yang, Robert W. Heath and Dacheng Tao.
- 1 Ming–Hsuan Yang United States 7.4k citations
- 2 Robert W. Heath United States 7.1k citations
- 3 Dacheng Tao Australia 6.1k citations
- 4 Lei Zhang Hong Kong 5.3k citations
- 5 Xuemin Shen Canada 5.1k citations
- 6 Chao Dong China 4.9k citations
- 7 Zhu Han United States 4.7k citations
- 8 Shuicheng Yan Singapore 4.6k citations
- 9 Dusit Niyato Singapore 4.5k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Image and Video Quality Assessment research done?
The largest centres of Image and Video Quality Assessment research in 2022–2025 are Beijing (China), Shanghai (China), Shenzhen (China) and Seoul (South Korea). Among places with at least 20 works in it, it is an unusually large share of all research in Shenzhen.
Largest cities, 2022–2025
Where it is the local speciality
- ShenzhenCN · 82.7 works6.8×
Location quotient: how much more of its research is in Image and Video Quality Assessment than the world average.
Where is the best place to study Image and Video Quality Assessment?
Among universities, judged by research, Nanyang Technological University, Shanghai Jiao Tong University and City University of Hong Kong 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 | Nanyang Technological UniversitySingapore | 66.5 | 40.2% | 6.8× | 19 | +7.7% |
| 2 | Shanghai Jiao Tong UniversityChina | 65.4 | 29.3% | 7.2× | 55 | +20.6% |
| 3 | City University of Hong KongHong Kong | 65.3 | 33.4% | 7.6× | 16 | +40.2% |
| 4 | Xidian UniversityChina | 61.6 | 18.5% | 11.0× | 29 | +86.0% |
| 5 | Jiangxi University of Finance and EconomicsChina | 60.2 | 19.9% | 36.4× | 11 | +257.1% |
| 6 | Shenzhen UniversityChina | 59.7 | 19.2% | 7.5× | 20 | +399.3% |
| 7 | Beijing University of Posts and TelecommunicationsChina | 55.6 | 10.5% | 17.9× | 39 | +39.0% |
| 8 | Hangzhou Dianzi UniversityChina | 51.6 | 12.4% | 9.8× | 12 | +163.2% |
| 9 | Tsinghua UniversityChina | 51.3 | 25.3% | 4.6× | 32 | +50.7% |
| 10 | Ningbo UniversityChina | 50.2 | 15.8% | 9.8× | 18 | +11.4% |
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 Image and Video Quality Assessment research growing?
Output in 2018–2022 was 2% higher than in 2013–2017, peaking in 2023. The fastest-growing topics are Image and Video Quality Assessment.
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.