Multiview Video Plus Depth Coding With Depth-Based Prediction Mode

Silveira

IEEE Trans. Circuits Syst. Video Technol.

et al. 2019

The depth maps intra-frame prediction of 3D High Efficiency Video Coding (3D-HEVC) inherits all texture encoding techniques provided by HEVC and provides new coding tools for depth map predictions. These tools comprise algorithms, such as bipartition modes, intra-picture skip, and DC-only. This paper details these tools and shows how they work together with the original HEVC algorithms in the depth map intra-frame prediction for allowing high-efficiency encoding. Besides, this paper analyzes the encoding time and the encoding mode distribution of the intra-frame prediction tools over different quantization scenarios. We aim to provide support for upcoming works on depth map encoding, including complexity reduction and control, real-time embedded systems implementations, and even the development of improved tools to encode depth maps.

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Depth Intra-Coding in 3D-HEVC

Silveira

IEEE Trans. Circuits Syst. Video Technol.

et al. 2019

“…MVD associates with each texture frame, a depth map indicating the distance among objects of the scenario and cameras; a depth map displays the scene from the same point of view of the texture [7]. Although depth maps are not visualized, they are essential for generating the synthesized views at the decoder side.…”

Section: Introductionmentioning

confidence: 99%

Analysis of parallel encoding using tiles in 3D High Efficiency Video Coding

Saldanha

et al. 2019

SIViP

This paper analyzes the usage of tiles in 3D-High Efficiency Video Coding. We investigate the encoding impact of some tiles divisions using a Bjontegaard delta rate (BD-rate) on the common test conditions for 3D videos. This analysis demonstrated dividing the video into square tiles increases the encoding performance compared to non-square tiles (about 2.2%). In another analysis, we concluded the workload is highly unbalanced in the uniform distribution contributing to limit the speedup possibilities for the homogeneous multicore systems. Authors are not aware of any work focusing on balancing depth maps workload in tiles; therefore, we pointed out relevant studies and solutions for future projects in this open research area.

“…Although these depth maps are not directly displayed for the viewers, they play an essential role when generating synthesized views at the decoder side. Techniques, such as Depth-Image-Based Rendering (DIBR) [5], allow the interpolation of texture views based on these depth maps, generating a dense set of high-quality synthesized views. However, the encoding efficiency and quality provided by this new data format significantly increase the encoding computational effort because the depth maps are composed of large regions of homogeneous values and well-defined edges.…”

Section: Introductionmentioning

confidence: 99%

DCDM-Intra: Dynamically Configurable 3D-HEVC Depth Maps Intra-Frame Prediction Algorithm

Fernandes

2018 25th IEEE International Conference on Image Processing (ICIP)

et al. 2018

This work proposes the Dynamically Configurable 3D-HEVC Depth Maps Intra-Frame Prediction (DCDM-Intra), which explores the fact that Rough Mode Decision (RMD) was inherited from texture coding without taking advantages of the depth maps simplicity. DCDM-Intra classifies the HEVC Intra-frame Prediction Modes (IPMs) according to their BDrate impact when encoding depth maps. Then, the application or the user can dynamically define the number of IPMs supported by the depth maps intra-prediction, according to the system status or application requirements, removing the IPMs that less affect the encoding efficiency. DCDM-Intra allows 35 distinct operation points with different encoding efficiency impacts. Experimental results demonstrate that the exclusion of 20% of IPMs causes a BD-rate increase of 0.03%, and the removal of almost 51% of IPMs rises 0.11% the BD-rate.