Efficient QoE-aware scheme for video quality switching operations in dynamic adaptive streaming
- Submitting institution
-
University of the West of Scotland
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 13118700
- Type
- D - Journal article
- DOI
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10.1145/3269494
- Title of journal
- ACM Transactions on Multimedia Computing, Communications, and Applications
- Article number
- 17
- First page
- -
- Volume
- 15
- Issue
- 1
- ISSN
- 1551-6857
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2019
- 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
-
4
- Research group(s)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This contribution improves the cost-efficiency of the globally popular Dynamic Adaptive Streaming over HTTP (DASH) standard for the latest video coding standard H.265 whilst preserving the QoE of the end users. This research supports the eHealth use case in the EU 5G-PPP SliceNet project. The novel technologies developed enhance the QoE of users such as the specialist in hospital viewing the streamed video from an ambulance for life-saving remote diagnosis of strokes whilst reducing the required bitrate and operational overhead. To be partially reported in SliceNet Deliverable D8.6 and deployed in project’s testbed.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -