Abstract
Video streaming services over networks have increased significantly in the past
decade. Maximizing end viewers quality of experience (QoE) became more crucial requirement than the quality of service (QoS) awareness when deploying
new broadcast platforms for the provisioning of high-quality streaming services.
Since the majority of current multi-user video streaming services are encoded and transmitted through bandwidth-limited networks, proper encoder settings are required to satisfy the total channel rate constraint. In this work a QoE-driven High Efficiency Video Coding (HEVC) encoder adaptation scheme is proposed, aiming to measure overall acceptability of video content as perceived subjectively and maximize QoE of all the users for broadcasting networks. First, the influence of HEVC encoder on video streaming is investigated. The encoding and compression efficiency of the new standard in comparison to its predecessor H.264/AVC is given. Afterwards, a QoE-maximized encoder adaptation framework is formulated based on the obtained encoder parameter model. It turned out that the proper deployment of such framework on HFC (hybrid fiber-coaxial) network may result in average bit-rate reduction of 44% and average cost savings of 20%-60%.
decade. Maximizing end viewers quality of experience (QoE) became more crucial requirement than the quality of service (QoS) awareness when deploying
new broadcast platforms for the provisioning of high-quality streaming services.
Since the majority of current multi-user video streaming services are encoded and transmitted through bandwidth-limited networks, proper encoder settings are required to satisfy the total channel rate constraint. In this work a QoE-driven High Efficiency Video Coding (HEVC) encoder adaptation scheme is proposed, aiming to measure overall acceptability of video content as perceived subjectively and maximize QoE of all the users for broadcasting networks. First, the influence of HEVC encoder on video streaming is investigated. The encoding and compression efficiency of the new standard in comparison to its predecessor H.264/AVC is given. Afterwards, a QoE-maximized encoder adaptation framework is formulated based on the obtained encoder parameter model. It turned out that the proper deployment of such framework on HFC (hybrid fiber-coaxial) network may result in average bit-rate reduction of 44% and average cost savings of 20%-60%.
Original language | English |
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Title of host publication | Proceedings of the 2018 Symposium on Information Theory and Signal Processing in the Benelux |
Subtitle of host publication | May 31-1 June, 2018, University of Twente, Enschede, The Netherlands |
Editors | Luuk Spreeuwers, Jasper Goseling |
Place of Publication | Enschede |
Publisher | Werkgemeenschap voor Informatie- en Communicatietheorie (WIC) |
Pages | 9-26 |
ISBN (Print) | 978-90-365-4570-9 |
Publication status | Published - 2018 |
Event | 39th Symposium on Information Theory and Signal Processing in the Benelux 2018 - University of Twente, Enschede, Netherlands Duration: 31 May 2018 → 1 Jun 2018 Conference number: 39 https://www.utwente.nl/en/eemcs/sitb2018/ |
Conference
Conference | 39th Symposium on Information Theory and Signal Processing in the Benelux 2018 |
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Abbreviated title | SITB |
Country/Territory | Netherlands |
City | Enschede |
Period | 31/05/18 → 1/06/18 |
Internet address |