An Adaptive Error Concealment Method for Depth Map in 3D Video Coding

2015 ◽  
Vol 18 (1) ◽  
pp. 62-71 ◽  
Author(s):  
Pei-Jun Lee ◽  
Kuei-Ting Kuo
Keyword(s):  
Video Coding ◽  
Error Concealment ◽  
Depth Map ◽  
3D Video ◽  
3D Video Coding

Error concealment for MVC and 3D video coding

2010 ◽  
Author(s):  
Olgierd Stankiewicz ◽  
Krzysztof Wegner ◽  
Marek Domanski
Keyword(s):  
Video Coding ◽  
Error Concealment ◽  
3D Video ◽  
3D Video Coding

scholarly journals Fast Depth Intra Mode Decision Based on Mode Analysis in 3D Video Coding

Electronics ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 430 ◽  
Author(s):  
Jin Young Lee
Keyword(s):  
Video Coding ◽  
High Performance ◽  
Depth Map ◽  
3D Video ◽  
Mode Decision ◽  
Mode Analysis ◽  
Multiview Video ◽  
3D Video Coding ◽  
Depth Coding ◽  
Intra Mode Decision

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.

scholarly journals Low Complexity Mode Decision for 3D-HEVC

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Qiuwen Zhang ◽  
Nana Li ◽  
Yong Gan
Keyword(s):  
Computational Complexity ◽  
Video Coding ◽  
Depth Map ◽  
3D Video ◽  
Mode Decision ◽  
Test Model ◽  
Variable Size ◽  
Decision Algorithm ◽  
Motion Activity ◽  
3D Video Coding

High efficiency video coding- (HEVC-) based 3D video coding (3D-HEVC) developed by joint collaborative team on 3D video coding (JCT-3V) for multiview video and depth map is an extension of HEVC standard. In the test model of 3D-HEVC, variable coding unit (CU) size decision and disparity estimation (DE) are introduced to achieve the highest coding efficiency with the cost of very high computational complexity. In this paper, a fast mode decision algorithm based on variable size CU and DE is proposed to reduce 3D-HEVC computational complexity. The basic idea of the method is to utilize the correlations between depth map and motion activity in prediction mode where variable size CU and DE are needed, and only in these regions variable size CU and DE are enabled. Experimental results show that the proposed algorithm can save about 43% average computational complexity of 3D-HEVC while maintaining almost the same rate-distortion (RD) performance.

scholarly journals Low-complexity depth map compression in HEVC-based 3D video coding

2015 ◽  
Vol 2015 (1) ◽  
Author(s):  
Qiuwen Zhang ◽  
Ming Chen ◽  
Xinpeng Huang ◽  
Nana Li ◽  
Yong Gan
Keyword(s):  
Video Coding ◽  
Depth Map ◽  
Low Complexity ◽  
3D Video ◽  
3D Video Coding

Depth Map Coding Optimization Using Rendered View Distortion for 3D Video Coding

2015 ◽  
Vol 24 (11) ◽  
pp. 3534-3545 ◽  
Author(s):  
Woo-Shik Kim ◽  
Antonio Ortega ◽  
PoLin Lai ◽  
Dong Tian
Keyword(s):  
Video Coding ◽  
Depth Map ◽  
3D Video ◽  
3D Video Coding
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