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Conference Publication

Lossy contour-coding in segmentation-based intra-depth map coding

Host Publication: Three-Dimensional Image Processing (3DIP) and Applications 2013

Authors: J. Hanca, A. Munteanu and P. Schelkens

UsePubPlace: Burlingame, California, USA

Publisher: SPIE

Publication Date: Mar. 2013

Number of Pages: 8

ISBN: 978-0-8194-9423-8


Abstract:

Efficient depth-map coding is of paramount importance in next generation 3D video applications such as 3DTV and free viewpoint video. In this paper we propose a novel intra depth map coding system employing optimized segmentation procedures suitable for depth maps, followed by lossy or lossless contour coding techniques. In lossy mode, our method performs Hausdorff-distance constrained coding, by which the distance between the actual and decoded contours is upper-bounded by a user-defined bound. The trade-off between contour location accuracy and coding performance is analyzed. Experimental results show that, on average, lossy coding outperforms lossless contour coding and should be considered in all segmentation-based depth map coding systems. The comparison against JPEG񮖠 shows that the proposed system is a viable alternative for light intra coding of depth maps.

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Prof. Dr. Ir. Adrian Munteanu

+32 (0)02 629 168

acmuntea@etrovub.be

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Prof. Dr. Ir. Peter Schelkens

+32 (0)02 629 168

pschelke@etrovub.be

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