3D hierarchical optimization for multi-view depth map coding

Depth data has a widespread use since the popularity of high resolution 3D sensors. In multi-view sequences, depth information is used to supplement the color data of each view. This article proposes a joint encoding of multiple depth maps with a unique representation. Color and depth images of each...

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Bibliographic Details
Published in:Multimedia tools and applications 2018-08, Vol.77 (15), p.19869-19894
Main Authors: Duch, Marc Maceira, Varas, David, Rubió, Josep Ramon Morros, Ruiz-Hidalgo, Javier, Marques, Ferran
Format: Article
Language:English
Subjects:
3-D video (Three-dimensional imaging)
Coding
Coding standards
Color
Computer Communication Networks
Computer Science
Creació multimèdia
Data Structures and Information Theory
Distortion
Emmagatzematge i recuperació de la informació
Image segmentation
Imatge digital
Imatges
Informàtica
Multimedia Information Systems
Optimization
Segmentació
Sistemes d'informació
So, imatge i multimèdia
Special Purpose and Application-Based Systems
Video compression
Visualització tridimensional (Informàtica)
Àrees temàtiques de la UPC
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Summary:Depth data has a widespread use since the popularity of high resolution 3D sensors. In multi-view sequences, depth information is used to supplement the color data of each view. This article proposes a joint encoding of multiple depth maps with a unique representation. Color and depth images of each view are segmented independently and combined in an optimal Rate-Distortion fashion. The resulting partitions are projected to a reference view where a coherent hierarchy for the multiple views is built. A Rate-Distortion optimization is applied to obtain the final segmentation choosing nodes of the hierarchy. The consistent segmentation is used to robustly encode depth maps of multiple views obtaining competitive results with HEVC coding standards.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-017-5409-z