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 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 Fast Mode Decision for 3D-HEVC Depth Intracoding

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Qiuwen Zhang ◽  
Nana Li ◽  
Qinggang Wu
Keyword(s):  
Computational Complexity ◽  
Video Coding ◽  
High Efficiency ◽  
Depth Map ◽  
Mode Decision ◽  
Fast Mode ◽  
High Efficiency Video Coding ◽  
Decision Algorithm ◽  
Fast Mode Decision ◽  
Coding Efficiency

The emerging international standard of high efficiency video coding based 3D video coding (3D-HEVC) is a successor to multiview video coding (MVC). In 3D-HEVC depth intracoding, depth modeling mode (DMM) and high efficiency video coding (HEVC) intraprediction mode are both employed to select the best coding mode for each coding unit (CU). This technique achieves the highest possible coding efficiency, but it results in extremely large encoding time which obstructs the 3D-HEVC from practical application. In this paper, a fast mode decision algorithm based on the correlation between texture video and depth map is proposed to reduce 3D-HEVC depth intracoding computational complexity. Since the texture video and its associated depth map represent the same scene, there is a high correlation among the prediction mode from texture video and depth map. Therefore, we can skip some specific depth intraprediction modes rarely used in related texture CU. Experimental results show that the proposed algorithm can significantly reduce computational complexity of 3D-HEVC depth intracoding while maintaining coding efficiency.

scholarly journals H.264 SVC Complexity Reduction Based on Likelihood Mode Decision

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
L. Balaji ◽  
K. K. Thyagharajan
Keyword(s):  
Computational Complexity ◽  
Video Coding ◽  
Mode Selection ◽  
Mode Decision ◽  
Frame Rate ◽  
Fast Mode ◽  
Bit Rate ◽  
Time Saving ◽  
Decision Algorithm ◽  
Fast Mode Decision

H.264 Advanced Video Coding (AVC) was prolonged to Scalable Video Coding (SVC). SVC executes in different electronics gadgets such as personal computer, HDTV, SDTV, IPTV, and full-HDTV in which user demands various scaling of the same content. The various scaling is resolution, frame rate, quality, heterogeneous networks, bandwidth, and so forth. Scaling consumes more encoding time and computational complexity during mode selection. In this paper, to reduce encoding time and computational complexity, a fast mode decision algorithm based on likelihood mode decision (LMD) is proposed. LMD is evaluated in both temporal and spatial scaling. From the results, we conclude that LMD performs well, when compared to the previous fast mode decision algorithms. The comparison parameters are time, PSNR, and bit rate. LMD achieve time saving of 66.65% with 0.05% detriment in PSNR and 0.17% increment in bit rate compared with the full search method.

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
Sign in / Sign up

Export Citation Format

Share Document