- Research works
- 21 ▲ 106% vs 2013–17
- Citations
- 199 9.4 per fractional work
- Top-10% rate
- 10.3% record average 16.5%
- Open access
- 12% world 28%
Not ranked overall: State Key Laboratory of Digital Multimedia Technology is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
Field profile
Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.
Which keywords describe research at State Key Laboratory of Digital Multimedia Technology?
By fractional works in all years, weighted toward what it does more of than the world: Deep Learning, Convolutional Networks, Neural Networks, Depth Estimation, Unsupervised Learning, Optical Flow, Stereo Vision and Motion Estimation.
- Super-Resolution
- Generative Adversarial Networks
- Convolutional Neural Networks
- H.264/AVC
- Motion Estimation
- Optical Flow
- Depth Estimation
- Convolutional Networks
- Deep Learning
- Neural Networks
- Unsupervised Learning
- Stereo Vision
- Video Coding
- High Efficiency Video Coding (HEVC)
- Sparse Representation
- Image
- Image Processing
Size is fractional works in all years in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 17 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 17 words, with their numbers
- Deep Learning10▲ 21×32 topics
- Convolutional Networks4▲ 179×3 topics
- Neural Networks4▲ 16×14 topics
- Depth Estimation3▲ 139×2 topics
- Unsupervised Learning2▲ 122×3 topics
- Optical Flow2▲ 181×1 topic
- Stereo Vision2▲ 181×1 topic
- Motion Estimation2▲ 382×2 topics
- Video Coding2▲ 195×2 topics
- H.264/AVC2▲ 476×1 topic
- High Efficiency Video Coding (HEVC)2▲ 476×1 topic
- Convolutional Neural Networks2▲ 17×7 topics
- Sparse Representation2▲ 39×3 topics
- Generative Adversarial Networks1▲ 152×2 topics
- Image1▲ 221×1 topic
- Super-Resolution1▲ 221×1 topic
- Image Processing1▲ 17×5 topics
Which research topics does State Key Laboratory of Digital Multimedia Technology publish most on?
By volume in 2022–2025: Video Surveillance and Tracking Methods, Human Pose and Action Recognition, Computer Graphics and Visualization Techniques and Anomaly Detection Techniques and Applications.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Video Surveillance and Tracking Methods Computer Vision and Pattern Recognition 0 works
- 2 Human Pose and Action Recognition Computer Vision and Pattern Recognition 0 works
- 3 Computer Graphics and Visualization Techniques Computer Graphics and Computer-Aided Design 0 works
- 4 Anomaly Detection Techniques and Applications Artificial Intelligence 0 works
- 5 Image Processing and 3D Reconstruction Computer Vision and Pattern Recognition 0 works
- 6 3D Shape Modeling and Analysis Computational Mechanics 0 works
- 7 Automated Road and Building Extraction Ocean Engineering 0 works
- 8 IoT and Edge/Fog Computing Computer Networks and Communications 0 works
- 9 Virtual Reality Applications and Impacts Human-Computer Interaction 0 works
- 10 Advanced Vision and Imaging Computer Vision and Pattern Recognition 0 works
How open and international is its research?
Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.
World: 28% of research is openly available.
World: 19% is written across borders.
How has State Key Laboratory of Digital Multimedia Technology's research output changed?
Output in 2018–2022 was 106% higher than in 2013–2017.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Other research institutions in Qingdao
- Laoshan Laboratory
- SINOPEC Research Institute of Safety Engineering Co., Ltd.
- Qingdao City University
- Shandong Sinder Technology Co., Ltd.
- PLA Navy Submarine Academy
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.