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Enhancing wedgelet-based depth modeling in 3D-HEVC

Authors: Chang Duan; Yuhuan Shen; Yingying Zhang; Shuai Wang; Ce Zhu; Meng Yang 0002;

Enhancing wedgelet-based depth modeling in 3D-HEVC

Abstract

Wedgelet-based Depth Modeling Mode (DMM) in the 3D extension of HEVC (3D-HEVC) divides a depth block into two segments by a straight line, which can hardly approximate well complex edges in depth blocks, and consequently deteriorates coding performance of the depth blocks. In order to improve the depth coding performance based on better block representation, two straight lines or two parabola curves are jointly used to separate the block in the Wedgelet-based DMM. While two lines or curves can achieve significantly better approximation to complex edges, it introduces a remarkably increasing number of wedgelet templates, which in turn greatly exacerbates coding complexity and compromises coding performance. To attack the problem, uniform down sampling of the templates is applied coupled with template merging based on similarity and symmetricity. The proposed method is evaluated on the platform of the 3D-HEVC reference software HTM-15.2, which shows an average of 0.24% coding gain in terms of BD-rate under the All-Intra configuration compared to the Wedgelet-based DMM in the 3D- HEVC.

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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!
1
Average
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