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Quality-aware adaptive delivery of multi-view video

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conference contribution
posted on 2016-04-15, 10:49 authored by Cagri Ozcinar, Erhan Ekmekcioglu, Ahmet Kondoz
Advances in video coding and networking technologies have paved the way for the Multi-View Video (MVV) streaming. However, large amounts of data and dynamic network conditions result in frequent network congestion, which may prevent video packets from being delivered on time. As a consequence, the 3D viewing experience may be degraded signifi- cantly, unless quality-aware adaptation methods are deployed. There is no research work to discuss the MVV adaptation of decision strategy or provide a detailed analysis of a dynamic network environment. This work addresses the mentioned issues for MVV streaming over HTTP for emerging multi-view displays. In this research work, the effect of various adaptations of decision strategies are evaluated and, as a result, a new quality-aware adaptation method is designed. The proposed method is benefiting from layer based video coding in such a way that high Quality of Experience (QoE) is maintained in a cost-effective manner. The conducted experimental results on MVV streaming using the proposed strategy are showing that the perceptual 3D video quality, under adverse network conditions, is enhanced significantly as a result of the proposed quality-aware adaptation.

History

School

  • Loughborough University London

Published in

IEEE International Conference on Acoustics, Speech, and Signal Processing

Citation

OZCINAR, C., EKMEKCIOGLU, E. and KONDOZ, A., 2016. Quality-aware adaptive delivery of multi-view video. IN: IEEE 41st International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Shanghai, China, 20-25 March 2016, pp. 1397 - 1401.

Publisher

© IEEE

Version

  • AM (Accepted Manuscript)

Acceptance date

2016-03-20

Publication date

2016

Notes

© IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

ISBN

9781479999880

Language

  • en

Location

Shanghai, China

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