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Low-delay random view access in multi-view coding using a bit-rate adaptive downsampling approach
conference contribution
posted on 2016-10-11, 15:16 authored by Erhan Ekmekcioglu, Stewart T. Worrall, Ahmet KondozIn this paper, a new multi-view coding (MVC) scheme is
proposed and evaluated. The scheme offers improved low delay
view random access capability and at the same time
comparable compression performance with respect to the
reference multi-view coding scheme currently used. The
proposed scheme uses the concept of multiple-resolution
view coding, exploiting the trade-off between quantization
distortion and downsampling distortion at changing bit-rates,
which in turn provides improved coding efficiency. Bipredictive
(B) coded views, used in the conventional MVC
method, are replaced with predictive coded downscaled
views, reducing the view dependency in a multi-view set and
hence reducing the random view access delay, but
preserving the compression performance at the same time.
Results show that the proposed method reduces the view
random access delay in a MVC system significantly, but has
a similar objective and subjective performance with the
conventional MVC method.
Funding
This work was developed within VISNET II, a European Network of Excellence (http://www.visnetnoe.org), funded under the European Commission IST FP6 programme.
History
School
- Loughborough University London
Published in
Multimedia and Expo, 2008 IEEE International Conference onPages
745 - 748Citation
EKMEKCIOGLU, E., WORRALL, S. and KONDOZ, A., 2008. Low-delay random view access in multi-view coding using a bit-rate adaptive downsampling approach. IN: Proceedings of 2008 IEEE International Conference on Multimedia and Expo (ICME 2008), Hannover, Germany, 23-26 June 2008, pp.745-748.Publisher
© IEEEVersion
- 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
2008Notes
Closed access.ISBN
1424425700;9781424425716;9781424425709Publisher version
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