Output details
13 - Electrical and Electronic Engineering, Metallurgy and Materials
University of Plymouth
Article title
QoE Prediction Model and its Application in Video Quality Adaptation Over UMTS Networks
Type
D - Journal article
Title of journal
Multimedia, IEEE Transactions on
Article number
2
Volume number
14
Issue number
2
First page of article
431
ISSN of journal
1520-9210
Year of publication
2012
URL
-
Number of additional authors
2
Additional information
Predicting and optimising video quality for mobile video-streaming is key to service providers for customer retention. Video quality is affected by network impairments and/or video compression. The impact of these distortions varies depending on the content being viewed, and this aspect has received scant research attention so far. We present a novel, content-based QoE prediction model that was the first to predict video quality by bringing together video content-type, network QoS and video application parameters. Subjective tests have shown the model to be promising. The application of the model for video quality adaptation has also been demonstrated.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
