File(s) under permanent embargo

Reason: This item is currently closed access.

Low-delay random view access in multi-view coding using a bit-rate adaptive downsampling approach

conference contribution
posted on 11.10.2016, 15:16 by Erhan EkmekciogluErhan Ekmekcioglu, Stewart T. Worrall, Ahmet KondozAhmet Kondoz
In 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 on

Pages

745 - 748

Citation

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

© IEEE

Version

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

2008

Notes

Closed access.

ISBN

1424425700;9781424425716;9781424425709