Depth up-sampling for depth coding using view information

Author(s):  
M.O. Wildeboer ◽  
T. Yendo ◽  
M. Panahpour Tehrani ◽  
T. Fujii ◽  
M. Tanimoto
Keyword(s):  
2017 ◽  
Vol 55 ◽  
pp. 80-92 ◽  
Author(s):  
Pallab Kanti Podder ◽  
Manoranjan Paul ◽  
D.M. Motiur Rahaman ◽  
Manzur Murshed
Keyword(s):  

2021 ◽  
Vol 30 ◽  
pp. 402-417
Author(s):  
Yun Zhang ◽  
Linwei Zhu ◽  
Raouf Hamzaoui ◽  
Sam Kwong ◽  
Yo-Sung Ho

2016 ◽  
Vol 25 (12) ◽  
pp. 5877-5891 ◽  
Author(s):  
Yun Zhang ◽  
Xiaoxiang Yang ◽  
Xiangkai Liu ◽  
Yongbing Zhang ◽  
Gangyi Jiang ◽  
...  

Information ◽  
2019 ◽  
Vol 10 (5) ◽  
pp. 164
Author(s):  
Qiuwen Zhang ◽  
Yihan Wang ◽  
Tao Wei ◽  
Bin Jiang ◽  
Yong Gan

3D-high efficiency video coding (3D-HEVC) is the next-generation compression standard for multiview system applications, which has recently been approved by MPEG and VCEG as an extension of HEVC. To improve the compression efficiency of depth map, several compression tools have been developed for a better representation depth edges. These supplementary coding tools together with existing prediction modes can achieve high compression efficiency, but require a very high complexity that restricts the encoders from ongoing application. In this paper, we introduce a fast scheme to reduce complexity of depth coding in inter and intramode prediction procedure. A simulation analysis is performed to study intra and intermode distribution correlations in the depth compression information. Based on that correlation, we exploit two complexity reduction strategies, including early SKIP and adaptive intra prediction selection. Experimental results demonstrate that our scheme can achieve a complexity reduction up to 63.0%, without any noticeable loss of compression efficiency.


Electronics ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 430 ◽  
Author(s):  
Jin Young Lee

Multiview video plus depth (MVD), which consists of a texture image and its associated depth map, has been introduced as a 3D video format, and 3D video coding, such as 3D-HEVC, was developed to efficiently compress this MVD data. However, this requires high encoding complexity because of the additional depth coding. In particular, intra coding using various prediction modes is very complicated. To reduce the complexity, we propose a fast depth intra mode decision method based on mode analysis. The proposed method adaptively reduces the number of original candidate modes in a mode decision process. Experimental results show that the proposed method achieves high performance in terms of the complexity reduction.


2012 ◽  
Vol 29 ◽  
pp. 2572-2577 ◽  
Author(s):  
Fengfei Sun ◽  
Gangyi Jiang ◽  
YunZhang ◽  
Mei Yu ◽  
Zongju Peng ◽  
...  
Keyword(s):  

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