Fast Mode Decision Based on Grayscale Similarity and Inter-View Correlation for Depth Map Coding in 3D-HEVC

Lei, Jianjun; Duan, Jinhui; Wu, Feng; Ling, Nam; Hou, Chunping

doi:10.1109/tcsvt.2016.2617332

Cited by 89 publications

(55 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, this method needs to confirm threshold via training some texture video data online, emphasizing that threshold accuracy is important. A fast mode decision is proposed in [29] to reduce candidate modes of 3D-HEVC, where the inter-view and grayscale similarity correlation are jointly used. A motion and disparity vectors early determination algorithm is proposed in [30], which exploits the spatial and temporal motion vector of neighboring treeblocks to reduce 3D-HEVC computational complexity.…”

Section: Related Workmentioning

confidence: 99%

Low-Complexity Texture Video Coding Based on Motion Homogeneity for 3D-HEVC

Zhang

Shuaichao

2019

Scientific Programming

View full text Add to dashboard Cite

Three-dimensional extension of the high efficiency video coding (3D-HEVC) is an emerging international video compression standard for multiview video system applications. Similar to HEVC, a computationally expensive mode decision is performed using all depth levels and prediction modes to select the least rate-distortion (RD) cost for each coding unit (CU). In addition, new tools and intercomponent prediction techniques have been introduced to 3D-HEVC for improving the compression efficiency of the multiview texture videos. These techniques, despite achieving the highest texture video coding efficiency, involve extremely high-complex procedures, thus limiting 3D-HEVC encoders in practical applications. In this paper, a fast texture video coding method based on motion homogeneity is proposed to reduce 3D-HEVC computational complexity. Because the multiview texture videos instantly represent the same scene at the same time (considering that the optimal CU depth level and prediction modes are highly multiview content dependent), it is not efficient to use all depth levels and prediction modes in 3D-HEVC. The motion homogeneity model of a CU is first studied according to the motion vectors and prediction modes from the corresponding CUs. Based on this model, we present three efficient texture video coding approaches, such as the fast depth level range determination, early SKIP/Merge mode decision, and adaptive motion search range adjustment. Experimental results demonstrate that the proposed overall method can save 56.6% encoding time with only trivial coding efficiency degradation.

show abstract

Section: Related Workmentioning

confidence: 99%

Low-Complexity Texture Video Coding Based on Motion Homogeneity for 3D-HEVC

Zhang

Shuaichao

2019

Scientific Programming

View full text Add to dashboard Cite

show abstract

“…Currently, studies on complexity reduction of depth compression have also been proposed for 3D-HEVC, which is divided to two categories: fast inter prediction and intramode decision. Category 1: fast inter prediction algorithms proposed in literatures [18][19][20][21][22][23][24]. An early termination method is presented in Tohidypour et al [18] to reduce complexity of the encoders based on correlations with dependent and base view.…”

Section: Introductionmentioning

confidence: 99%

“…An early determination scheme is designed in Chen et al [22], which can deduct an averaged 22% complexity reduction with no loss for coding. A fast decision is developed in Lei et al [23] to reduce candidate modes of depth coding, where interview and grayscale similarity correlation are jointly used. A fast determination algorithm [24] is utilized to reduce depth encoding time.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2019

View full text Add to dashboard Cite

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.

show abstract

“…In addition, 3D-HEVC adopted several advanced prediction methods for the segment-wise DC coding (SDC) [6], and a depth intra skip mode (DIS) [7], which also cause some complexity. Many fast encoding algorithms were developed to reduce the complexity of the intra coding [8][9][10][11][12][13][14][15] and inter coding [16][17][18] in 3D-HEVC. In particular, there are two research categories to reduce the encoding complexity of the mode decision process in the depth intra coding [8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

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

Lee

2019

Electronics

View full text Add to dashboard Cite

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.

show abstract

Fast Mode Decision Based on Grayscale Similarity and Inter-View Correlation for Depth Map Coding in 3D-HEVC

Cited by 89 publications

References 38 publications

Low-Complexity Texture Video Coding Based on Motion Homogeneity for 3D-HEVC

Low-Complexity Texture Video Coding Based on Motion Homogeneity for 3D-HEVC

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

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

Contact Info

Product

Resources

About