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Dynamic adaptive 3D multi-view video streaming over the internet

conference contribution
posted on 11.10.2016, 09:07 authored by Cagri Ozcinar, Erhan EkmekciogluErhan Ekmekcioglu, Ahmet Kondoz
Increasing throughput rates and technical developments in video streaming over the Internet offer an attractive solution for the distribution of immersive 3D multi-view. Nevertheless, robustness of video streaming is subject to its utilisation of efficient error resiliency and content aware adaptation techniques. Dynamic network characteristics resulting in frequent congestions may prevent video packets from being delivered in a timely manner. Packet delivery failures may become prominent, degrading 3D immersive video experience significantly. In order to overcome this problem, a novel view recovery technique for 3D free-viewpoint video is introduced to maintain 3D video quality in a cost-effective manner. In this concept, the undelivered (discarded) views as a result of adaptation in the network are recovered with high quality at the receiver side, using Side Information (SI) and the delivered frames of neighbouring views. The proposed adaptive 3D multi-view video streaming scheme is tested using Dynamic Adaptive Streaming over HTTP (MPEG-DASH) standard. Tests using the proposed adaptive technique have revealed that the perceptual 3D video quality under adverse network conditions is significantly improved thanks to the utilisation of the extra side information in view recovery.

Funding

This work was supported by the ROMEO project (grant number: 287896), which was funded by the EC FP7 ICT collaborative research programme.

History

School

  • Loughborough University London

Published in

Proceedings of the 2013 ACM international workshop on Immersive media experiences

Pages

51 - 56

Citation

OZCINAR, C., EKMEKCIOGLU, E. and KONDOZ, A., 2013. Dynamic adaptive 3D multi-view video streaming over the internet. IN: Proceedings of the 2013 ACM International Workshop on Immersive Media Experiences, Barcelona, Spain, 22 October 2013, pp.51-56.

Publisher

© ACM

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2013

Notes

Closed access.

ISBN

1450324029;9781450324021

Language

en

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