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.

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 Time Reduction on 3D-HEVC Depth Maps Coding using Static Decision Trees Built Through Data Mining

2019 ◽  
Author(s):  
Mário Saldanha ◽  
Marcelo Porto ◽  
César Marcon ◽  
Luciano Agostini
Keyword(s):  
Data Mining ◽  
Decision Trees ◽  
Processing Time ◽  
High Efficiency ◽  
Rate Distortion ◽  
Depth Map ◽  
High Efficiency Video Coding ◽  
Block Partitioning ◽  
Coding Efficiency ◽  
Depth Maps

This dissertation presents a fast depth map coding for 3D-High Efficiency Video Coding (3D-HEVC) based on static Coding Unit (CU) splitting decision trees. The proposed solution is based on our previous works and avoids the costly Rate-Distortion Optimization (RDO) process for depth maps coding, which evaluates several possibilities of block partitioning and encoding modes for choosing the best one. This coding approach uses data mining and machine learning to extract the correlation among the encoder context attributes and to build the static decision trees. Each decision tree defines if a depth map CU must be split into smaller blocks, considering the encoding context through the evaluation of the CU features and encoder attributes. The results demonstrated that this approach can halve the 3D-HEVC encoder processing time with negligible coding efficiency loss. Besides, the obtained results surpass all related works regarding processing time and coding efficiency. The results reported in this dissertation were published in three journals and two events, besides generate a patent deposit. These products have the master student as the first author.

Review of Fast Mode Decision Algorithms for Intra Prediction in High Efficiency Video Coding Standard

2017 ◽  
Vol 7 (2 (S)) ◽  
pp. 352
Author(s):  
Umesh Kaware ◽  
Sanjay Gulhane
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
Intra Prediction ◽  
Mode Decision ◽  
Fast Mode ◽  
High Efficiency Video Coding ◽  
Compression Efficiency ◽  
Fast Mode Decision ◽  
Coding Efficiency ◽  
Decision Algorithms

The emerging High Efficiency Video Coding (HEVC) standard is a new improved next generation video coding standard. HEVC aims to provide improved compression performance as compared to all other video coding standards. To improve the coding efficiency a number of new techniques have been used. The higher compression efficiency is obtained at the cost of an increase in the computational load. In HEVC 35 modes are provided for intra prediction to improve the compression efficiency. The best mode is selected by Rate Distortion Optimization (RDO) process. It achieves significant improvement in coding efficiency compared with previous standards. However, this causes high encoding complexity. This paper discuss the various fast mode decision algorithms for intra prediction in HEVC.

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

A New Fast Algorithm for Intra Prediction Mode Selection in the High Efficiency Video Coding (HEVC) Standard

2014 ◽  
Vol 926-930 ◽  
pp. 3342-3345
Author(s):  
Chun Jiang Duanmu ◽  
Duo Dong ◽  
Xu Qiang Yang
Keyword(s):  
High Efficiency ◽  
Mode Selection ◽  
Intra Prediction ◽  
Code Rate ◽  
Video Encoding ◽  
Expert Group ◽  
High Efficiency Video Coding ◽  
Video Information ◽  
Prediction Mode ◽  
Very High

In order to meet the trend and consumer demands for video information, the ISO/IEC group and ITU-T video encoding expert group have cooperated in making the new video encoding standard of HEVC. It defines 35 Intra prediction modes and thus has a very high encoding complexity. In order to reduce this complexity, this paper has proposed a new algorithm to effectively reduce the number of the candidate mode which needs to be checked. The edge detection and Hough transform are utilized for the prediction unit (PU) with different sizes. Statistical analysis is utilized for the detected edge line angles to decide the candidate modes that need to be checked. The C++ and OpenCV language have been utilized for the implementation of the proposed algorithm. The proposed algorithm can reduce the encoding time by 43.72 percent at most and 17.06 percent at least with just little increase of the code rate and small decrease of the PSNR.

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