Modelling Quality of Experience for Online Video Advertisement Insertion
- Submitting institution
-
London South Bank University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 278846
- Type
- D - Journal article
- DOI
-
10.1109/TBC.2020.2965064
- Title of journal
- IEEE Transactions on Broadcasting
- Article number
- -
- First page
- 835
- Volume
- 66
- Issue
- 4
- ISSN
- 0018-9316
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2020
- URL
-
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8968371
- 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
-
2
- Research group(s)
-
B - Cognitive Systems Research Centre
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is the first research paper examines the role of QoE to optimise video advertisement insertion for online video delivery services. This is the first paper that examines such research problem. The outcome of this research work gave the opportunity to the PhD researcher Emeka Ugwuanyi to further explore this area he has worked with SME Future Intelligence looking how smart advertisement can be explored using edge cloud computing.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -