Centre for Visual and Immersive Computing

  • United Kingdom

Organization profile

Profile Information

The Centre for Visual and Immersive Computing (CVIC) focuses on regional and international dimensions of knowledge/technology innovation, application and practice development, academic networking, and social service innovation. It investigates research concepts, algorithms and systems in VIV domains for the development of seamless communication mechanisms between humans and computer systems. Examples include the use of image processing to detect security threats from CCTV and the application of cognitive and engineering psychology to facilitate human behaviour in socio-technical systems. The vision of the centre for the next 5 years can be summarised as:

  • Establishing a shared research vision and strengthening a united team spirit
  • Forming a long-term and sustainable research strategy
  • Developing collaborative and interdisciplinary research initiatives
  • Nurturing early career researchers and postgraduate students

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Textures Engineering & Materials Science
Closed circuit television systems Engineering & Materials Science
Visualization Engineering & Materials Science
Template matching Engineering & Materials Science
Linguistics Engineering & Materials Science
Benchmarking Engineering & Materials Science
Crime Engineering & Materials Science
Experiments Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2007 2018

1 Citations

A Fuzzy Neural Network based Dynamic Data Allocation Model on Heterogeneous Multi-GPUs for Large-Scale Computations

Zhang, C., Xu, Y., Xu, Z., He, J., Wang, J. & Adu, J., 1 Apr 2018, In : International Journal of Automation and Computing. 15, 2, p. 181-193 13 p.

Research output: Contribution to journalArticle

Data Allocation
Fuzzy neural networks
Fuzzy Neural Network
Graphics Processing Unit
Resource allocation

Dual-channel CNN for efficient abnormal behavior identification through crowd feature engineering

Xu, Y., Lu, L., Xu, Z., He, J., Zhou, J. & Zhang, C., 25 Aug 2018, In : Machine Vision and Applications. 14 p.

Research output: Contribution to journalArticle

Neural networks
Benchmarking
Processing
Costs

Education in a complex world: nurturing chaordic agency through complexity science and game design

Fabricatore, C. & Lopez, X., 2018, (Accepted/In press) Seeking Understanding: The Lifelong Pursuit to Build the Scientific Mind. Visser, J. & Visser, M. (eds.). Sense Publishers

Research output: Chapter in Book/Report/Conference proceedingChapter