Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/21534

Title: Adaptive delivery of immersive 3D multi-view video over the Internet
Authors: Ozcinar, Cagri
Ekmekcioglu, Erhan
Calic, J.
Kondoz, Ahmet
Issue Date: 2016
Publisher: © Springer Science+Business Media
Citation: OZCINAR, C. ... et al., 2016. Adaptive delivery of immersive 3D multi-view video over the Internet. Multimedia Tools and Applications, First online: 30 April 2016, DOI 10.1007/s11042-016-3475-2
Abstract: The increase in Internet bandwidth and the developments in 3D video technology have paved the way for the delivery of 3D Multi-View Video (MVV) over the Internet. 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 video experience may well be degraded unless content-aware precautionary mechanisms and adaptation methods are deployed. In this work, a novel adaptive MVV streaming method is introduced which addresses the future generation 3D immersive MVV experiences with multi-view displays. When the user experiences network congestion, making it necessary to perform adaptation, the rate-distortion optimum set of views that are pre-determined by the server, are truncated from the delivered MVV streams. In order to maintain high Quality of Experience (QoE) service during the frequent network congestion, the proposed method involves the calculation of low-overhead additional metadata that is delivered to the client. The proposed adaptive 3D MVV streaming solution is tested using the MPEG Dynamic Adaptive Streaming over HTTP (MPEG-DASH) standard. Both extensive objective and subjective evaluations are presented, showing that the proposed method provides significant quality enhancement under the adverse network conditions.
Description: Closed access until 30 April 2017.
Sponsor: This work was supported by the ROMEO project (grant number: 287896), which was funded by the EC FP7 ICT collaborative research programme. This paper is an extended version of the original paper [49] which appeared in the Proceedings of the 2013 ACM International Workshop on Immersive Media Experiences [7]. Special thanks to the anonymous reviewers and program chairs in the workshop and the journal for their constructive comments and suggestions that assisted in enhancing the paper.
Version: Accepted for publication
DOI: 10.1007/s11042-016-3475-2
URI: https://dspace.lboro.ac.uk/2134/21534
Publisher Link: http://dx.doi.org/10.1007/s11042-016-3475-2
ISSN: 1380-7501
Appears in Collections:Closed Access (Loughborough University London)

Files associated with this item:

File Description SizeFormat
mtap_2016.pdfAccepted version6.5 MBAdobe PDFView/Open

 

SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.