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Utilisation of edge adaptive upsampling in compression of depth map videos for enhanced free-viewpoint rendering
conference contribution
posted on 2016-10-11, 14:16 authored by Erhan Ekmekcioglu, Marta Mrak, Stewart T. Worrall, Ahmet KondozIn this paper we propose a novel video object edge adaptive
upsampling scheme for application in video-plus-depth and
Multi-View plus Depth (MVD) video coding chains with
reduced resolution. Proposed scheme is for improving the ratedistortion
performance of reduced-resolution depth map coders
taking into account the rendering distortion induced in freeviewpoint
videos. The inherent loss in fine details due to
downsampling, particularly at video object boundaries causes
significant visual artefacts in rendered free-viewpoint images.
The proposed edge adaptive upsampling filter allows the
conservation and better reconstruction of such critical object
boundaries. Furthermore, the proposed scheme does not require
the edge information to be communicated to the decoder, as the
edge information used in the adaptive upsampling is derived
from the reconstructed colour video. Test results show that as
much as 1.2 dB gain in free-viewpoint video quality can be
achieved with the utilization of the proposed method compared
to the scheme that uses the linear MPEG re-sampling filter. The
proposed approach is suitable for video-plus-depth as well as
MVD applications, in which it is critical to satisfy bandwidth
constraints while maintaining high free-viewpoint image
quality.
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
Image Processing (ICIP), 2009 16th IEEE International Conference on Image Processing (ICIP), 2009 16th IEEE International Conference onPages
733 - 736Citation
EKMEKCIOGLU, E. ... et al., 2009. Utilisation of edge adaptive upsampling in compression of depth map videos for enhanced free-viewpoint rendering. IN: Proceedings of 2009 16th IEEE International Conference on Image Processing (ICIP 2009), Cairo, Egypt, 7-12 November 2009, pp.733-736.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
2009Notes
Closed access.ISBN
9781424456543ISSN
1522-4880Publisher version
Language
- en