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Inherently Edge Preserving Depth Map Coding Using Context Adaptive Arithmetic Coding and Binary Tree Based Decomposition

Authors: Shampa Shahriyar;

Inherently Edge Preserving Depth Map Coding Using Context Adaptive Arithmetic Coding and Binary Tree Based Decomposition

Abstract

There has been a growing research interest in 3D and free viewpoint video systems to enrich the immersive viewing experience of multimedia users. To efficiently support such video transmissions, a multi-view video plus depth coding architecture has recently been introduced using depth maps. Depth maps have distinct spatial and temporal characteristics and existing coding techniques are unable to exploit these characteristics fully in coding, which also affects the image quality of depth-image-based rendering. This thesis aims at designing an independent and autonomous depth map coder capable of exploiting unique depth characteristics to achieve high compression efficiency with better depth quality.

Keywords

FOS: Computer and information sciences, 80106 Image Processing

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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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