IEEE_ICASSP_2016_Ekmekcioglu.pdf (810.19 kB)
Quality-aware adaptive delivery of multi-view video
conference contribution
posted on 2016-04-15, 10:49 authored by Cagri Ozcinar, Erhan Ekmekcioglu, Ahmet KondozAdvances in video coding and networking technologies have
paved the way for the Multi-View Video (MVV) streaming.
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 viewing experience may be degraded signifi-
cantly, unless quality-aware adaptation methods are deployed.
There is no research work to discuss the MVV adaptation of
decision strategy or provide a detailed analysis of a dynamic
network environment. This work addresses the mentioned issues
for MVV streaming over HTTP for emerging multi-view
displays. In this research work, the effect of various adaptations
of decision strategies are evaluated and, as a result, a
new quality-aware adaptation method is designed. The proposed
method is benefiting from layer based video coding in
such a way that high Quality of Experience (QoE) is maintained
in a cost-effective manner. The conducted experimental
results on MVV streaming using the proposed strategy are
showing that the perceptual 3D video quality, under adverse
network conditions, is enhanced significantly as a result of the
proposed quality-aware adaptation.
History
School
- Loughborough University London
Published in
IEEE International Conference on Acoustics, Speech, and Signal ProcessingCitation
OZCINAR, C., EKMEKCIOGLU, E. and KONDOZ, A., 2016. Quality-aware adaptive delivery of multi-view video. IN: IEEE 41st International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Shanghai, China, 20-25 March 2016, pp. 1397 - 1401.Publisher
© IEEEVersion
- AM (Accepted Manuscript)
Acceptance date
2016-03-20Publication date
2016Notes
© IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.ISBN
9781479999880Publisher version
Language
- en
Location
Shanghai, ChinaAdministrator link
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