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Video Analysis and Summarization

Video Analysis and Summarization is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 30k research works in it since 1951. 17.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the automatic analysis and summarization of video content, covering topics such as shot boundary detection, user attention models, semantic analysis, key frame extraction, event detection, and the application of these techniques to soccer videos. It also explores the use of the MPEG-7 standard and content-based retrieval methods in video summarization.

  • Video Summarization
  • Content-Based Retrieval
  • Shot Boundary Detection
  • User Attention Model
  • MPEG-7 Standard
  • Semantic Analysis
  • Key Frame Extraction
  • Event Detection
  • Soccer Video
  • Multimodal Indexing
Research works
30k
fractional, since 1951
In the world top 10%
5.2k
per year above
Top-10% rate
17.1%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-8%
the tick is no change

Which countries lead Video Analysis and Summarization research?

By volume, China and India publish the most (1.9k and 670 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.9k works
  2. 2 India 670 works
  3. 3 United States 511 works
  4. 4 Japan 267 works
  5. 5 South Korea 166 works
  6. 6 United Kingdom 125 works
  7. 7 Türkiye 122 works
  8. 8 Germany 115 works
  9. 9 Canada 85 works
  10. 10 Indonesia 80 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: 46.8%India: 16.7%United States: 12.7%Japan: 6.6%6 others listed: 17.2%47%largest
China1,882 · 46.8%India670 · 16.7%United States511 · 12.7%Japan267 · 6.6%6 others listed693 · 17.2%

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

Which institutions lead Video Analysis and Summarization research?

By volume in 2022–2025, University of Science and Technology of China publishes the most Video Analysis and Summarization research, followed by Peking University and Tsinghua University.

Who are the leading researchers in Video Analysis and Summarization?

The most-cited researchers publishing on Video Analysis and Summarization include Andrew Zisserman, Wei Liu and Luc Van Gool.

  1. 1 Andrew Zisserman United Kingdom 25k citations
  2. 2 Wei Liu China 9.7k citations
  3. 3 Luc Van Gool Switzerland 8.5k citations
  4. 4 Xiaoou Tang Hong Kong 8k citations
  5. 5 Ming–Hsuan Yang United States 7.4k citations
  6. 6 Thomas S. Huang United States 7.4k citations
  7. 7 Bernt Schiele Germany 6.9k citations

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

Where is Video Analysis and Summarization research done?

The largest centres of Video Analysis and Summarization research in 2022–2025 are Beijing (China), Shanghai (China), Tokyo (Japan) and Wuhan (China). Among places with at least 20 works in it, it is an unusually large share of all research in San Jose.

Largest cities, 2022–2025

  1. 1 Beijing China 400 works
  2. 2 Shanghai China 140 works
  3. 3 Tokyo Japan 101 works
  4. 4 Wuhan China 87 works
  5. 5 Hangzhou China 87 works
  6. 6 Xi'an China 84 works
  7. 7 Guangzhou China 82 works
  8. 8 Seoul South Korea 80 works
  9. 9 Shenzhen China 75 works
  10. 10 Nanjing China 71 works

Where it is the local speciality

  1. San JoseUS · 21.1 works13×
← less than its size predictsmore →

Location quotient: how much more of its research is in Video Analysis and Summarization than the world average.

See Video Analysis and Summarization on the map

Where is the best place to study Video Analysis and Summarization?

Among universities, judged by research, Hong Kong University of Science and Technology, PES University and Renmin University of China 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 22.77%fractional works in this node (log) →share in the world top 10% →Hong Kong University of Science and Technology: 12, 43.1%PES University: 18, 9.2%Renmin University of China: 14, 25.0%Peking University: 35, 28.3%University of Science and Technology of China: 36, 19.5%Amrita Vishwa Vidyapeetham: 19, 11.4%Korea Advanced Institute of Science and Technology: 20, 18.9%Nanyang Technological University: 17, 34.1%Beijing University of Posts and Telecommunications: 28, 11.3%Tsinghua University: 34, 26.9%Hong Kong University…Peking UniversityRenmin University of…PES University
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Hong Kong University of Science and TechnologyHong Kong 63.943.1%6.3×12 +70.1%
2 PES UniversityIndia 55.89.2%25.9×18 +290.0%
3 Renmin University of ChinaChina 55.325.0%8.6×14 +99.9%
4 Peking UniversityChina 51.328.3%4.5×35 -14.9%
5 University of Science and Technology of ChinaChina 49.819.5%5.9×36 -4.3%
6 Amrita Vishwa VidyapeethamIndia 49.811.4%6.9×19 +222.7%
7 Korea Advanced Institute of Science and TechnologySouth Korea 49.018.9%8.4×20 -9.3%
8 Nanyang Technological UniversitySingapore 48.034.1%4.1×17 -36.5%
9 Beijing University of Posts and TelecommunicationsChina 47.811.3%9.0×28 -21.2%
10 Tsinghua UniversityChina 47.126.9%3.5×34 -7.7%

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 Video Analysis and Summarization research growing?

Output in 2018–2022 was 8% lower than in 2013–2017, peaking in 2024.

19801990200020102020
grewheldshrank

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.