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Intra Predictive Depth Map Coding Using Flexible Block Partitioning

delete2015-11-01
delete21
PRE
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L
Luís F. R. Lucas *
K
Krzysztof Wegner
N
Nuno M. M. Rodrigues
C
Carla L. Pagliari
E
Eduardo A. B. da Silva
S
Sérgio M. M. de Faria
DOI:10.1109/TIP.2015.2456509delete
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Abstract

Abstract

En 中文
A complete encoding solution for efficient intra-based depth map compression is proposed in this paper. The algorithm, denominated predictive depth coding (PDC), was specifically developed to efficiently represent the characteristics of depth maps, mostly composed by smooth areas delimited by sharp edges. At its core, PDC involves a directional intra prediction framework and a straightforward residue coding method, combined with an optimized flexible block partitioning scheme. In order to improve the algorithm in the presence of depth edges that cannot be efficiently predicted by the directional modes, a constrained depth modeling mode, based on explicit edge representation, was developed. For residue coding, a simple and low complexity approach was investigated, using constant and linear residue modeling, depending on the prediction mode. The performance of the proposed intra depth map coding approach was evaluated based on the quality of the synthesized views using the encoded depth maps and original texture views. The experimental tests based on all intra configuration demonstrated the superior rate-distortion performance of PDC, with average bitrate savings of 6%, when compared with the current state-of-the-art intra depth map coding solution present in the 3D extension of a high-efficiency video coding (3D-HEVC) standard. By using view synthesis optimization in both PDC and 3D-HEVC encoders, the average bitrate savings increase to 14.3%. This suggests that the proposed method, without using transform-based residue coding, is an efficient alternative to the current 3D-HEVC algorithm for intra depth map coding.
Keywords:
Depth map coding
3D-HEVC
intra predictive coding
directional prediction
flexible block partitioning
depth modelling
linear fitting
view synthesis
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IEEE Transactions on Image Processing cover
IEEE Transactions on Image Processing
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