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research article

Optimized MVC Prediction Structures for Interactive Multiview Video Streaming

De Abreu, Ana
•
Frossard, Pascal  
•
Pereira, Fernando
2013
IEEE Signal Processing Letters

The Multiview Video Coding (MVC) standard efficiently compresses multiview video by considering spatial, temporal and interview correlations. This letter studies the impact of the MVC interview prediction structure on both the transmission and the overall coding rates for an interactive multiview video streaming system, considering both unicast and multicast scenarios, with the user interactive behavior represented by some view-popularity model. We propose a method to identify the optimal prediction structure minimizing the visual distortion, given some storage and link capacities constraints. Simulation results confirm that the optimal prediction structure results from a non-trivial tradeoff between the system constraints, the transmission model and the views' popularity.

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Type
research article
DOI
10.1109/Lsp.2013.2259815
Web of Science ID

WOS:000318762000005

Author(s)
De Abreu, Ana
Frossard, Pascal  
Pereira, Fernando
Date Issued

2013

Publisher

Ieee-Inst Electrical Electronics Engineers Inc

Published in
IEEE Signal Processing Letters
Volume

20

Issue

6

Start page

603

End page

606

Subjects

Interactive multiview video streaming (IMVS)

•

multicast

•

multiview video coding (MVC)

•

popularity model

•

prediction structure

•

unicast

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LTS4  
Available on Infoscience
October 1, 2013
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/95316
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