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 inarXiv.org
Main Authors Maceira, Marc, Varas, David, Josep-Ramon Morros, JavierRuiz-Hidalgo, Marques, Ferran
Format Paper Journal Article
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 01.11.2019
Subjects
Coding
Coding standards
Color
Computer Science - Computer Vision and Pattern Recognition
Image segmentation
Optimization
Video compression
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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-Distortionoptimization 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. Available at: http://link.springer.com/article/10.1007/s11042-017-5409-z
ISSN:2331-8422
DOI:10.48550/arxiv.1911.00376