Loughborough University
Browse
10.1.1.377.4899.pdf (200.31 kB)

Multi-view video coding via virtual view generation

Download (200.31 kB)
conference contribution
posted on 2016-10-11, 15:44 authored by Erhan Ekmekcioglu, Stewart T. Worrall, Ahmet Kondoz
In this paper, a multi-view video coding method via generation of virtual picture sequences is proposed. Pictures are synthesized for the sake of better exploitation of the redundancies between neighbouring views in a multi-view sequence. Pictures are synthesized through a 3D warping method to estimate certain views in a multi-view set. Depth map and associated colour video sequences are used for view generation and tests. H. 264/AVC coding standard based MVC draft software is used for coding colour videos and depth maps as well as certain views which are predicted from the virtually generated views. Results for coding these views with the proposed method are compared against the reference H. 264/AVC simulcast method under some low delay coding scenarios. The rate-distortion performance of the proposed method outperforms that of the reference method at all bit-rates.

Funding

The work presented 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

Proc. Pic. Coding Symp.(PCS)

Citation

EKMEKCIOGLU, E., WORRALL, S. and KONDOZ, A., 2007. Multi-view video coding via virtual view generation. IN: Proceedings of 2007 26th EURASIP Picture Coding Symposium (PCS 2007), Lisbon, Portugal, 7-9 November 2007.

Publisher

European Association for Signal Processing

Version

  • AM (Accepted Manuscript)

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

2007

ISBN

9789898109057

Publisher version

Book series

Conference code;104256

Language

  • en

Usage metrics

    Loughborough Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC