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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/34282

Title: Adaptive multi-view video streaming using side information over peer to peer networks
Authors: Ozcinar, Cagri
Ekmekcioglu, Erhan
Anbarjafari, Gholamreza
Kondoz, Ahmet
Keywords: Multi-view plus-depth-map (MVD)
Peer-to-peer (P2P)
Issue Date: 2018
Publisher: © Springer Verlag
Citation: OZCINAR, C. ... et al, 2018. Adaptive multi-view video streaming using side information over peer to peer networks. Multimedia Tools and Applications, 78 (6), pp.7225–7242.
Abstract: Multi-view plus-depth-map (MVD) video streaming with autostereoscopic displays provides multi-user immersive media experiences. In this context, delivery of MVD representation to multiple clients remains a challenging problem because of the high-volume of data involved and the inherent limitations imposed by the delivery networks. To this end, this paper investigates the side information (SI) assisted adaptation algorithm using peer-to-peer (P2P) systems. P2P delivery systems for MVD video can maximize link utilization, preventing the transport of multiple video copies of the same packet for many users. However, the quality of experience (QoE) can be significantly degraded by dynamic variations caused by network congestions. To this end, our solution comprises the extraction of low-overhead metadata at the encoding server that is distributed through the P2P network as SI and used by P2P clients performing network adaptation. In the proposed adaptation strategy, pre-selected views are discarded at times of network congestion and reconstructed with an optimal reconstruction performance using the delivered SI and the delivered neighboring camera views. The experimental results show that the robustness of P2P multi-view streaming using the proposed adaptation scheme is significantly increased in the P2P network.
Description: This paper is closed access until 08 August 2019.
Version: Accepted for publication
DOI: 10.1007/s11042-018-6492-5
URI: https://dspace.lboro.ac.uk/2134/34282
Publisher Link: https://doi.org/10.1007/s11042-018-6492-5
ISSN: 1380-7501
Appears in Collections:Closed Access (Loughborough University London)

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