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Predictive Depth Map Coding for Efficient Virtual View Synthesis

Lucas, L. ; Rodrigues, Nuno M. M. ; Pagliari, C.L.P. ; Silva, E. ; Faria, S.M.M.

Predictive Depth Map Coding for Efficient Virtual View Synthesis, Proc IEEE International Conf. on Image Processing - ICIP, Melbourne, Australia, Vol. 0, pp. 0 - 0, September, 2013.

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Abstract
This paper presents a novel approach to compress depth maps envisioned for
virtual view synthesis. This proposal uses a sophisticated prediction model,
combining the HEVC intra prediction modes with a flexible partitioning scheme. It exhaustively evaluates the prediction modes for a large amount of block sizes, in order to find the minimum coding cost for each depth map block. Unlike HEVC, no transform is used, the residue being trivially encoded through the transmission of just its mean value.
The experimental results show that, when the encoding evaluation metric is the
quality of the view synthesized using the encoded depth map against
the map encoding rate, the proposed algorithm generates reconstructed depth
maps that provide, for most bitrates, some of the best performances among
state-of-the-art depth maps encoders. In addition, it runs approximately as
fast as the HEVC HM.