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 Dive into the research topics where Centre for Visual and Immersive Computing is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

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
learning Social Sciences

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

Research Output 2007 2019

1 Citation (Scopus)

An exploratory study of the relationship between meaning-making and quality in games

Fabricatore, C., Gyaurov, D. & Lopez, X., 30 May 2019, In : Multimedia Tools and Applications. 78, 10, p. 13539-13564 26 p.

Research output: Contribution to journalArticle

Open Access
1 Citation (Scopus)

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

Xu, Y., Lu, L., Xu, Z., He, J., Zhou, J. & Zhang, C., Jul 2019, In : Machine Vision and Applications. 30, 5, p. 945-958 14 p.

Research output: Contribution to journalArticle

Neural networks
Benchmarking
Processing
Costs

Game Jams: An Innovative Education Experience in Higher Education

Gledhill, D. & Novak, M., 2019, Proceedings of the 11th International Conference on Computer Supported Education (CSEDU). Lane, H., Zvacek, S. & Uhomoibhi, J. (eds.). Vol. 1. p. 489-494 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
learning
education
experience
programming
art

Activities 2019 2019

  • 1 Oral presentation

Coverage Analysis of Drone-Assisted Backscatter Communication for IoT Sensor Network

Ali Hayajneh (Speaker), Maryam Hafeez (Speaker), Syed Zaidi (Speaker), Des McLernon (Speaker), Moe Win (Speaker)
31 May 2019

Activity: Talk or presentation typesOral presentation