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Adaptive 3D multi-view video streaming over P2P networks
conference contribution
posted on 2016-10-10, 15:12 authored by Cagri Ozcinar, Erhan Ekmekcioglu, Ahmet KondozStreaming 3D multi-view video to multiple clients simultaneously remains a highly challenging problem due to the high-volume of data involved and the inherent limitations imposed by the delivery networks. Delivery of multimedia streams over Peer-to-Peer (P2P) networks has gained great interest due to its ability to maximise link utilisation, preventing the transport of multiple copies of the same packet for many users. On the other hand, the quality of experience can still be significantly degraded by dynamic variations caused by congestions, unless content-aware precautionary mechanisms and adaptation methods are deployed. In this paper, a novel, adaptive multi-view video streaming over a P2P system is introduced which addresses the next generation high resolution multi-view users' experiences with autostereoscopic displays. The solution comprises the extraction of low-overhead supplementary metadata at the media encoding server that is distributed through the network and used by clients performing network adaptation. In the proposed concept, pre-selected views are discarded at a times of network congestion and reconstructed with high quality using the metadata and the neighbouring views. The experimental results show that the robustness of P2P multi-view streaming using the proposed adaptation scheme is significantly increased under congestion.
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
Image Processing (ICIP), 2014 IEEE International Conference onPages
2462 - 2466Citation
OZCINAR, C., EKMEKCIOGLU, E. and KONDOZ, A., 2014. Adaptive 3D multi-view video streaming over P2P networks. IN: Proceedings of 2014 IEEE International Conference on Image Processing (ICIP 2014), Paris, France, 27-30 October 2014, pp.2462-2466.Publisher
© IEEEVersion
- 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
2014Notes
Closed access.ISBN
9781479957514Publisher version
Language
- en
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