M. Alreshoodi and J. Woods and I. K. Musa (2014) QoE-enabled transport optimisation scheme for real-time SVC video delivery. In: 2014 9th International Symposium on Communication Systems, Networks & Digital Sign (CSNDSP), 2014-07-23 - 2014-07-25.
M. Alreshoodi and J. Woods and I. K. Musa (2014) QoE-enabled transport optimisation scheme for real-time SVC video delivery. In: 2014 9th International Symposium on Communication Systems, Networks & Digital Sign (CSNDSP), 2014-07-23 - 2014-07-25.
M. Alreshoodi and J. Woods and I. K. Musa (2014) QoE-enabled transport optimisation scheme for real-time SVC video delivery. In: 2014 9th International Symposium on Communication Systems, Networks & Digital Sign (CSNDSP), 2014-07-23 - 2014-07-25.
Abstract
Video traffic today accounts for 50 percent of all traffic on the network and is set to reach the 70 percent mark in a few years. Bringing in large volumes of video traffic threatens to exceed the network's capacity. As a result, traffic congestion is becoming more frequent, degrading the Quality of Experience (QoE) for video consumers. In this paper, we present a QoE-enabled Transport Optimization Scheme (QETOS) for real-time scalable video stream. The proposed scheme is a crucial design choice that will optimise the video traffic by mapping video quality degradations (that are caused by network) to the QoE without penetrating the video packets. It takes the advantage of the Scalable Video Coding (SVC) partitions that can organize video into layers of different importance, facilitating rate adaptation of video streams. Our approach will help to minimize the side effects on user perceived quality.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Notes: Video traffic today accounts for 50 percent of all traffic on the network and is set to reach the 70 percent mark in a few years. Bringing in large volumes of video traffic threatens to exceed the network's capacity. As a result, traffic congestion is becoming more frequent, degrading the Quality of Experience (QoE) for video consumers. In this paper, we present a QoE-enabled Transport Optimization Scheme (QETOS) for real-time scalable video stream. The proposed scheme is a crucial design choice that will optimise the video traffic by mapping video quality degradations (that are caused by network) to the QoE without penetrating the video packets. It takes the advantage of the Scalable Video Coding (SVC) partitions that can organize video into layers of different importance, facilitating rate adaptation of video streams. Our approach will help to minimize the side effects on user perceived quality. |
| Uncontrolled Keywords: | optimisation; quality of experience; video coding; QETOS; QoE-enabled transport optimisation scheme; real-time SVC video delivery; real-time scalable video stream; scalable video coding; video quality degradations; video traffic; Optimization; Predictive models; Quality assessment; Quality of service; Static VAr compensators; Streaming media; Video recording; QoE; QoS; SVC; Video quality |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 20 Jul 2015 11:41 |
| Last Modified: | 24 Oct 2024 23:01 |
| URI: | http://repository.essex.ac.uk/id/eprint/14331 |