TY - JOUR
T1 - Measuring, Modeling and Integrating Time-Varying Video Quality in End-to-End Multimedia Service Delivery
T2 - A Review and Open Challenges
AU - Hewage, Chaminda T.E.R.
AU - Ahmad, Arslan
AU - Mallikarachchi, Thanuja
AU - Barman, Nabajeet
AU - Martini, Maria G.
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2022/6/6
Y1 - 2022/6/6
N2 - The multimedia delivery chain consists of multiple stages such as content preparation, content delivery via Over-The-Top delivery network and Internet Service Providers network. Within the multimedia service chain, each stage influences the Quality of Experience (QoE) of the end user. The objective of this work is to provide a comprehensive literature survey with future research challenges and opportunities in the field of time-varying video quality in multimedia service delivery. The contribution of this work is two fold: 1) Survey - we provide a review of state-of-the-art works for video quality models to quantify multiple artifacts into a single QoE metric, pooling strategies for global quality measurements, and Continuous Time-Varying Quality (CTVQ) models; 2) Future Challenges and Directions - we investigate ten major research challenges and future directions based on the state-of-the-art for QoE modelling, QoE-aware encoding/decoding and QoE monitoring/management of multimedia streaming in next-generation networks.
AB - The multimedia delivery chain consists of multiple stages such as content preparation, content delivery via Over-The-Top delivery network and Internet Service Providers network. Within the multimedia service chain, each stage influences the Quality of Experience (QoE) of the end user. The objective of this work is to provide a comprehensive literature survey with future research challenges and opportunities in the field of time-varying video quality in multimedia service delivery. The contribution of this work is two fold: 1) Survey - we provide a review of state-of-the-art works for video quality models to quantify multiple artifacts into a single QoE metric, pooling strategies for global quality measurements, and Continuous Time-Varying Quality (CTVQ) models; 2) Future Challenges and Directions - we investigate ten major research challenges and future directions based on the state-of-the-art for QoE modelling, QoE-aware encoding/decoding and QoE monitoring/management of multimedia streaming in next-generation networks.
KW - QoE monitoring
KW - QoE-aware network and service management
KW - QoE-aware video encoding and decoding
KW - Quality of Experience (QoE)
KW - Time-varying video quality
KW - continuous time-varying quality
KW - quality models
KW - video compression
KW - video streaming
UR - http://www.scopus.com/inward/record.url?scp=85131722579&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2022.3180491
DO - 10.1109/ACCESS.2022.3180491
M3 - Review article
AN - SCOPUS:85131722579
SN - 2169-3536
VL - 10
SP - 60267
EP - 60293
JO - IEEE Access
JF - IEEE Access
ER -