DMMFast: a complexity reduction scheme for three-dimensional high-efficiency video coding intraframe depth map coding

2015 ◽  
Vol 24 (2) ◽  
pp. 023011 ◽  
Author(s):  
Gustavo Sanchez ◽  
Mário Saldanha ◽  
Gabriel Balota ◽  
Bruno Zatt ◽  
Marcelo Porto ◽  
...  
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
Three Dimensional ◽  
Depth Map ◽  
Complexity Reduction ◽  
Reduction Scheme ◽  
High Efficiency Video Coding

scholarly journals A Complexity Reduction Scheme for Depth Coding in 3D-HEVC

Information ◽  
2019 ◽  
Vol 10 (5) ◽  
pp. 164
Author(s):  
Qiuwen Zhang ◽  
Yihan Wang ◽  
Tao Wei ◽  
Bin Jiang ◽  
Yong Gan
Keyword(s):  
High Efficiency ◽  
Simulation Analysis ◽  
Depth Map ◽  
Complexity Reduction ◽  
High Efficiency Video Coding ◽  
Compression Efficiency ◽  
Reduction Strategies ◽  
Depth Coding ◽  
Depth Compression ◽  
Very High

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.

scholarly journals Edge-preserving down/upsampling for depth map compression in high-efficiency video coding

2013 ◽  
Vol 52 (7) ◽  
pp. 071509 ◽  
Author(s):  
Huiping Deng ◽  
Li Yu ◽  
Juntao Zhang ◽  
Bin Feng ◽  
Qiong Liu
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
Depth Map ◽  
High Efficiency Video Coding ◽  
Edge Preserving

Complexity reduction algorithm for prediction unit decision process in high efficiency video coding

2016 ◽  
Vol 10 (1) ◽  
pp. 53-60 ◽  
Author(s):  
Jong-Hyeok Lee ◽  
Byung-Gyu Kim ◽  
Dong-San Jun ◽  
Soon-Heung Jung ◽  
Jin Soo Choi
Keyword(s):  
Video Coding ◽  
Decision Process ◽  
High Efficiency ◽  
Complexity Reduction ◽  
Reduction Algorithm ◽  
High Efficiency Video Coding

Evaluation of Long Term Evolution Cellular Network Performance when Transmitting Multi-view Video Content

2014 ◽  
Vol 3 (3) ◽  
pp. 16-32
Author(s):  
Carl James Debono ◽  
Gloria-Anne Ellul
Keyword(s):  
Video Coding ◽  
Video Transmission ◽  
Network Performance ◽  
High Efficiency ◽  
Three Dimensional ◽  
Long Term Evolution ◽  
3D Video ◽  
High Efficiency Video Coding ◽  
Term Evolution

The Long Term Evolution (LTE) cellular technology provides higher data rates than its predecessor technologies. This advancement paves the way for more data services, including improved multimedia services. Three-dimensional (3D) video transmission is one such service that can benefit from LTE deployment. For a positive uptake of 3D video transmission, the network must provide a good Quality of Service (QoS). In this paper the authors evaluate the LTE network's performance when transmitting Multi-view Video Coding (MVC) using simulcast and inter-view prediction coding. Furthermore, the authors evaluate the system using both the H.264/AVC (Advanced Video Coding) and the more recent High Efficiency Video Coding (HEVC) and their MVC extensions. Results show that, in an urban environment, LTE can accommodate a maximum of 93 users per cell, with adequate QoS, when transmitting 3D HEVC video at Common Intermediate Format (CIF) resolution. Moreover, cross-layer techniques can be used to reduce the QoS degradation as the user moves away from the eNodeB by transmitting lower resolution video.

scholarly journals Rendering Distortion Estimation Model for 3D High Efficiency Depth Coding

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Qiuwen Zhang ◽  
Liang Tian ◽  
Lixun Huang ◽  
Xiaobing Wang ◽  
Haodong Zhu
Keyword(s):  
High Efficiency ◽  
Three Dimensional ◽  
Rate Distortion ◽  
Depth Map ◽  
Depth Image ◽  
High Efficiency Video Coding ◽  
Estimation Model ◽  
Depth Image Based Rendering ◽  
Distortion Estimation ◽  
3D Scene

A depth map represents three-dimensional (3D) scene geometry information and is used for depth image based rendering (DIBR) to synthesize arbitrary virtual views. Since the depth map is only used to synthesize virtual views and is not displayed directly, the depth map needs to be compressed in a certain way that can minimize distortions in the rendered views. In this paper, a modified distortion estimation model is proposed based on view rendering distortion instead of depth map distortion itself and can be applied to the high efficiency video coding (HEVC) rate distortion cost function process for rendering view quality optimization. Experimental results on various 3D video sequences show that the proposed algorithm provides about 31% BD-rate savings in comparison with HEVC simulcast and 1.3 dB BD-PSNR coding gain for the rendered view.

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