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3D hierarchical optimization for multi-view depth map coding

Author
Maceira, M.; Varas, D.; Morros, J.R.; Ruiz-Hidalgo, J.; Marques, F.
Type of activity
Journal article
Journal
Multimedia tools and applications
Date of publication
2017-11-28
First page
1
Last page
26
DOI
https://doi.org/10.1007/s11042-017-5409-z Open in new window
Project funding
Heterogeneous information and graph signal processing for the Big Data era. Application to high-throughput, remote sensing, multimedia and human computer interfaces
Multimodal Signal Processing and Machine Learning on Graphs
Repository
http://hdl.handle.net/2117/113183 Open in new window
http://rdcu.be/zHtU Open in new window
URL
https://link-springer-com.recursos.biblioteca.upc.edu/article/10.1007/s11042-017-5409-z/fulltext.html Open in new window
Abstract
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 bu...
Citation
Maceira, M., Varas, D., Morros, J.R., Ruiz-Hidalgo, J., Marques, F. 3D hierarchical optimization for multi-view depth map coding. "Multimedia tools and applications", 28 Novembre 2017, p. 1-26.
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

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