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Adaptive streaming of multi-view video over P2P networks
journal contribution
posted on 2016-04-22, 13:45 authored by S. Sedef Savas, C. Goktug Gurler, A. Murat Tekalp, Erhan Ekmekcioglu, Stewart T. Worrall, Ahmet KondozIn this paper, we propose a novel solution for the adaptive streaming of 3D representations in the form of multi-view video by utilizing P2 Poverlay networks to assist the media delivery and minimize the bandwidth requirement at the server side. Adaptation to diverse network conditions is performed regarding the features of human perception to maximize the perceived 3D. We have performed subjective tests to characterize these
features and determined the best adaptation method to achieve the highest possible
perceived quality. Moreover, we provide a novel method for mapping from scalable
video elementary stream to torrent-liked at a chunks for adaptive video streaming and
provide an optimized windowing mechanism that ensures timely delivery of the content
over yanlıs gibi. The paper also describes techniques generating scalable video chunks
and methods for determining system parameters such as chunksize and window length.
Funding
This work was supported under the FP7 STREP Project DIOMEDE
History
School
- Loughborough University London
Published in
Signal Processing: Image CommunicationVolume
27Issue
5Pages
522 - 531Citation
SEDEF SAVAS, S. ...et al., 2012. Adaptive streaming of multi-view video over P2P networks. Signal Processing: Image Communication, 27(5), pp. 522-531.Publisher
© ElsevierVersion
- 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
2012Notes
This paper is in closed access.ISSN
0923-5965Publisher version
Language
- en
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