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Authors: Jonas El Sayeh Khalil 1 ; Adrian Munteanu 2 and Peter Lambert 1

Affiliations: 1 Ghent University-iMinds, Belgium ; 2 Vrije Universiteit Brussel, Belgium

Keyword(s): Quality-scalable Mesh Representation, Wavelet-based Mesh Coding, Rate-Distortion Optimization.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Fundamental Methods and Algorithms ; Geometry and Modeling ; Surface Modeling

Abstract: This work investigates the optimization of mesh quality at lossy rates for a lossless scalable wavelet-based irregular mesh codec. Whereas previously proposed wavelet-based irregular mesh codecs offer coarse-grain resolution scalability, in this paper we propose a coding scheme which enables fine-grain quality scalability. This is done by avoiding the use of geometric data in the encoding process, which reduces dependencies within the data stream and allows for an unrestricted storage and transmission order of wavelet subband bitplanes and connectivity information. This in turn allows us to perform rate-distortion optimization, whereby the subband bitplanes to be encoded are determined by minimizing distortion subject to an overall target bitrate. Experimental results show that the proposed coding approach offers fine-grain quality scalability, achieves optimality in rate-distortion sense and improves compression performance over the state of the art.

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Paper citation in several formats:
El Sayeh Khalil, J.; Munteanu, A. and Lambert, P. (2017). Rate-Distortion Optimized Wavelet-based Irregular Mesh Coding. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - GRAPP; ISBN 978-989-758-224-0; ISSN 2184-4321, SciTePress, pages 212-219. DOI: 10.5220/0006108602120219

@conference{grapp17,
author={Jonas {El Sayeh Khalil}. and Adrian Munteanu. and Peter Lambert.},
title={Rate-Distortion Optimized Wavelet-based Irregular Mesh Coding},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - GRAPP},
year={2017},
pages={212-219},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006108602120219},
isbn={978-989-758-224-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - GRAPP
TI - Rate-Distortion Optimized Wavelet-based Irregular Mesh Coding
SN - 978-989-758-224-0
IS - 2184-4321
AU - El Sayeh Khalil, J.
AU - Munteanu, A.
AU - Lambert, P.
PY - 2017
SP - 212
EP - 219
DO - 10.5220/0006108602120219
PB - SciTePress

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