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Depth Video Coding Technologies

Authors: Mora E. G.; Valenzise G.; Jung J.; Pesquet-Popescu B.; Cagnazzo M.; Dufaux F.;

Depth Video Coding Technologies

Abstract

The emergence of new three-dimensional (3D) multimedia services, such as 3D television and free viewpoint television, created a need for multiple-view multiplexing on 3D displays for more fluidity and scalability. However, coding and transmitting more views is costly. Depth-based formats allow synthesizing the required number of views at a reduced cost compared with video-only formats. Nevertheless, depth videos, alongside texture or color videos, should also be efficiently compressed. A number of depth video coding technologies have been proposed in recent years, both in academic and industrial contexts. These technologies can be mainly categorized into three families. We have tools that exploit some inherent characteristics of depth maps, tools that exploit the correlations with the associated texture, and tools that optimize the depth map coding for the quality of the synthesis. This chapter is intended as a tutorial, illustrating those different depth coding tools, while giving corresponding examples of each. © 2013 by John Wiley & Sons, Ltd.

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Italy
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Keywords

3D video coding; Depth video coding; Multiview video-plus-depth

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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