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Topic · Computer Vision and Pattern Recognition

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. 9.8% 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%
1.9k
per year above
Top-10% rate
9.8%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
0%
the tick is no change
Largest producer
China
51% of the 10 largest, 2022-now
Image and Video Quality Assessment

Which countries lead Image and Video Quality Assessment research?

By volume, China and the United States publish the most (1.6k and 407 works in 2022-now).

By volume, 2022-now

  1. 1 China 1.6k works
  2. 2 United States 407 works
  3. 3 India 312 works
  4. 4 South Korea 152 works
  5. 5 Japan 145 works
  6. 6 United Kingdom 121 works
  7. 7 Germany 115 works
  8. 8 France 91 works
  9. 9 Brazil 87 works
  10. 10 Canada 84 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: 51.1%United States: 13.1%India: 10.1%South Korea: 4.9%6 others listed: 20.8%51%largest
China1,580 · 51.1%United States407 · 13.1%India312 · 10.1%South Korea152 · 4.9%6 others listed643 · 20.8%

Shares of the rows listed above, not of the whole node.

Which institutions lead Image and Video Quality Assessment research?

By volume in 2022-now, Shanghai Jiao Tong University publishes the most Image and Video Quality Assessment research, followed by Beijing University of Posts and Telecommunications and Chinese Academy of Sciences.

By volume, 2022-now

  1. 1 Shanghai Jiao Tong UniversityChina 63 works
  2. 2 Beijing University of Posts and TelecommunicationsChina 48 works
  3. 3 Chinese Academy of SciencesChina 40 works
  4. 4 Tsinghua UniversityChina 35 works
  5. 5 Xidian UniversityChina 33 works
  6. 6 Centre National de la Recherche ScientifiqueFrance 30 works
  7. 7 University of Science and Technology of ChinaChina 27 works
  8. 8 Peking UniversityChina 25 works
  9. 9 Shenzhen UniversityChina 24 works
  10. 10 Nanyang Technological UniversitySingapore 23 works

Who are the leading researchers in Image and Video Quality Assessment?

The most-cited researchers publishing on Image and Video Quality Assessment include Xiaogang Wang, Kai You Wang and Trevor J. Darrell.

  1. 1 Xiaogang Wang China 260k citations
  2. 2 Kai You Wang China 224k citations
  3. 3 Trevor J. Darrell United States 206k citations
  4. 4 Luc Van Gool Switzerland 177k citations
  5. 5 H. Vincent Poor United States 165k citations
  6. 6 Anil Kumar Jain United States 160k 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 Image and Video Quality Assessment?

The most cited paper in Image and Video Quality Assessment is "Image quality assessment: from error visibility to structural similarity" (Zhou Wang, Alan Conrad Bovik, Hamid R. Sheikh et al., 2004), with 58,409 citations. Next come "Overview of the H.264/AVC video coding standard" (8,227) and "Neural Collaborative Filtering" (6,831).

Most cited papers
#PaperReleasedCitations
1 Image quality assessment: from error visibility to structural similarity Zhou Wang, Alan Conrad Bovik, Hamid R. Sheikh et al. · IEEE Transactions on Image Processing Apr 2004 58,409
2 Overview of the H.264/AVC video coding standard Thomas Wiegand, Gary J. Sullivan, Gisle Bjøntegaard et al. · IEEE Transactions on Circuits and Systems for Video Technology Jul 2003 8,227
3 Neural Collaborative Filtering Xiangnan He, Lizi Liao, Hanwang Zhang et al. Conference paperOpen access 3 Apr 2017 6,831
4 Making a “Completely Blind” Image Quality Analyzer A. Mittal, Rajiv Soundararajan, Alan Conrad Bovik · IEEE Signal Processing Letters 14 Nov 2012 6,737
5 Multiscale structural similarity for image quality assessment Zhou Wang, Eero P. Simoncelli, Alan Conrad Bovik Conference paper 8 Jul 2004 6,069
All 99 most cited papers, with filters and sorting

Where is Image and Video Quality Assessment research done?

The largest centres of Image and Video Quality Assessment research in 2022-now 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-now

  1. 1 BeijingChina 324 works
  2. 2 ShanghaiChina 143 works
  3. 3 ShenzhenChina 94 works
  4. 4 SeoulSouth Korea 88 works
  5. 5 Xi'anChina 82 works
  6. 6 NanjingChina 82 works
  7. 7 HangzhouChina 69 works
  8. 8 TokyoJapan 64 works
  9. 9 GuangzhouChina 55 works
  10. 10 WuhanChina 51 works

Where it is the local speciality

  1. ShenzhenCN · 93.7 works6.9×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Image and Video Quality Assessment than the world average.

See Image and Video Quality Assessment on the map

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.

0%20%40%mean 21.83%fractional works in this field (log) →share of work in the world top 10% →Nanyang Technologica…City University of H…Shanghai Jiao Tong U…Shenzhen 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
1Nanyang Technological UniversitySingapore 82.234.2%8.1×23 +34.2%
2Shanghai Jiao Tong UniversityChina 77.325.8%6.2×63 +26.9%
3City University of Hong KongChina 71.829.8%8.7×18 -1.5%
4Shenzhen UniversityChina 58.014.5%9.0×24 +20.6%
5University of Hong KongChina 56.925.5%2.9×9 +248.5%
6Jiangxi University of Finance and EconomicsChina 53.817.1%43.8×13 +31.4%
7University of Science and Technology of ChinaChina 53.413.8%6.6×28 +8.2%
8University of KlagenfurtAustria 53.210.5%73.6×19 +74.2%
9Chongqing UniversityChina 51.625.9%3.2×12 +112.4%
10Hong Kong University of Science and TechnologyChina 51.621.2%6.1×9 +90.9%

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 Image and Video Quality Assessment, country by country

Is Image and Video Quality Assessment research growing?

Output in 2022-2025 was 0% lower than in 2018-2021, peaking in 2023.

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 Image and Video Quality Assessment as a percentage of every work published that year, 0.016% in 2024.

still counting0.010%0.020%0.030%Image and Video Quality Assessment0.016% in 202519801990200020102020

Fractional works of Image and Video Quality Assessment 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%Image and Video Quality Assessment9.8% 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.

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