DocumentCode
2819217
Title
Wyner-ziv coding for depth maps in multiview video-plus-depth
Author
Petrazzuoli, Giovanni ; Cagnazzo, Marco ; Dufaux, Frederic ; Pesquet-Popescu, Béatrice
Author_Institution
TSI Dept., TELECOM-ParisTech, Paris, France
fYear
2011
fDate
11-14 Sept. 2011
Firstpage
1817
Lastpage
1820
Abstract
Three dimensional digital video services are gathering a lot of attention in recent years, thanks to the introduction of new and efficient acquisition and rendering devices. In particular, 3D video is often represented by a single view and a so called depth map, which gives information about the distance between the point of view and the objects. This representation can be extended to multiple views, each with its own depth map. Efficient compression of this kind of data is of course a very important topic in sight of a massive deployment of services such as 3D-TV and FTV (free viewpoint TV). In this paper we consider the application of distributed coding techniques to the coding of depth maps, in order to reduce the complexity of single view or multi view encoders and to enhance interactive multiview video streaming. We start from state-of-the-art distributed video coding techniques and we improve them by using high order motion interpolation and by exploiting texture motion information to encode the depth maps. The experiments reported here show that the proposed method achieves a rate reduction up to 11.06% compared to state-of-the-art distributed video coding technique.
Keywords
image motion analysis; image texture; interpolation; rendering (computer graphics); video coding; video streaming; 3D video; 3D-TV; Wyner-Ziv coding; depth map; digital video service; distributed coding; distributed video coding; free viewpoint TV; high order motion interpolation; interactive multiview video streaming; multiview video-plus-depth; rate reduction; rendering device; texture motion information; Encoding; Image coding; Interpolation; PSNR; Silicon; Streaming media; Vectors; Distributed video coding; depth map coding; image interpolation; multiview video-plus-depth;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location
Brussels
ISSN
1522-4880
Print_ISBN
978-1-4577-1304-0
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2011.6115817
Filename
6115817
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