APSIPA Transactions on Signal and Information Processing > Vol 3 > Issue 1

Lossless contour coding using elastic curves in multiview video plus depth

Marco Calemme, Telecom ParisTech, France, Marco Cagnazzo, Telecom ParisTech, France, cagnazzo@telecom-paristech.fr , Beatrice Pesquet-Popescu, Telecom ParisTech, France
 
Suggested Citation
Marco Calemme, Marco Cagnazzo and Beatrice Pesquet-Popescu (2014), "Lossless contour coding using elastic curves in multiview video plus depth", APSIPA Transactions on Signal and Information Processing: Vol. 3: No. 1, e21. http://dx.doi.org/10.1017/ATSIP.2014.20

Publication Date: 29 Dec 2014
© 2015 Marco Calemme, Marco Cagnazzo and Beatrice Pesquet-Popescu
 
Subjects
 
Keywords
3D videomultiple-views plus depthcontour codinglossless codingelastic curves
 

Share

Open Access

This is published under the terms of the Creative Commons Attribution licence.

Downloaded: 374 times

In this article:
I. INTRODUCTION 
II. BACKGROUND NOTIONS 
III. PROPOSED TECHNIQUE 
IV. EXPERIMENTAL RESULTS 
V. CONCLUSIONS 

Abstract

Multiview video plus depth is emerging as the most flexible format for three-dimensional video representation, as witnessed by the current standardization efforts by ISO and ITU. In particular, in depth representation, arguably the most important information lies in object contours. As a consequence, an interesting approach consists in performing a lossless coding of object contours, possibly followed by a lossy coding of per-object depth values. In this context, we propose a new technique for lossless coding of object contours, based on the elastic deformation of curves. Using the square-root velocity representation for the elements of the space of curves, we can model a continuous evolution of elastic deformations between two reference contour curves. An elastically deformed version of the reference contours can be sent to the decoder with a reduced coding cost and used as side information to improve the lossless coding of the actual contour. Experimental results on several multiview video sequences show remarkable gains with respect to the reference techniques and to the state of the art.

DOI:10.1017/ATSIP.2014.20