Dynamic Visual Abstraction of Soccer Movement
- Submitting institution
-
City, University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 779
- Type
- D - Journal article
- DOI
-
10.1111/cgf.13189
- Title of journal
- Computer Graphics Forum
- Article number
- -
- First page
- 305
- Volume
- 36
- Issue
- 3
- ISSN
- 0167-7055
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
6
- Research group(s)
-
-
- Citation count
- 12
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This output (from research funded through EU project SoBigData) addresses an important problem of analysis the coordinated movement trajectories of, for example, football players. The paper was presented at EuroVis (Eurographics/IEEE Symposium on Visualization), a leading EU venue in the discipline area, and received an honorable mention award. Results of the paper motivated creation of a strong collaboration network of data scientists and football practitioners that aim to establish scientific foundations for football analytics.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
