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

Jan Hanca; Adrian Munteanu; Peter Schelkens

doi:10.1117/12.2002106

12 March 2013 Lossy contour-coding in segmentation-based intra-depth map coding

Jan Hanca, Adrian Munteanu, Peter Schelkens

Proceedings Volume 8650, Three-Dimensional Image Processing (3DIP) and Applications 2013; 865009 (2013) https://doi.org/10.1117/12.2002106
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States

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-2000 shows that the proposed system is a viable alternative for light intra coding of depth maps.

Citation Download Citation

Jan Hanca, Adrian Munteanu, and Peter Schelkens "Lossy contour-coding in segmentation-based intra-depth map coding", Proc. SPIE 8650, Three-Dimensional Image Processing (3DIP) and Applications 2013, 865009 (12 March 2013); https://doi.org/10.1117/12.2002106

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