This paper presents an advanced depthintra-coding approach for 3D video coding based on the High Efficiency Video coding (HEVC) standard and the multiview video plus depth (MVD) representation. This paper is motivate...
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This paper presents an advanced depthintra-coding approach for 3D video coding based on the High Efficiency Video coding (HEVC) standard and the multiview video plus depth (MVD) representation. This paper is motivated by the fact that depth signals have specific characteristics that differ from those of natural signals, i.e., camera-view video. Our approach replaces conventional intra-picture coding for the depth component, targeting a consistent and efficient support of 3D video applications that utilize depth maps or polygon meshes or both, with a high depthcoding efficiency in terms of minimal artifacts in rendered views and meshes with a minimal number of triangles for a given bit rate. For this purpose, we introduce intra-picture prediction modes based on geometric primitives along with a residual coding method in the spatial domain, substituting conventional intra-prediction modes and transform coding, respectively. The results show that our solution achieves the same quality of rendered or synthesized views with about the same bit rate as MVD coding with the 3D video extension of HEVC (3D-HEVC) for high-quality depth maps and with about 8% less overall bit rate as with 3D-HEVC without related depth tools. At the same time, the combination of 3D video with 3D computer graphics content is substantially simplified, as the geometry-based depthintra signals can be represented as a surface mesh with about 85% less triangles, generated directly in the decoding process as an alternative decoder output.
3D-HEVC explores several new intra-frame depthcoding tools to improve the coding efficiency, but at the price of high computational complexity, which hinders the practical applications of 3D-HEVC. Therefore, a bi-lay...
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3D-HEVC explores several new intra-frame depthcoding tools to improve the coding efficiency, but at the price of high computational complexity, which hinders the practical applications of 3D-HEVC. Therefore, a bi-layer texture discriminant fast depth intra coding for 3D-HEVC is proposed in this paper. With a sum of gradient matrix (SGM), the texture complexity (TC) of current depthcoding unit (CU) and its subblocks are calculated at once. The values of TCs indicate whether to split the depth CU further and skip unnecessary DMMs checking. The experimental results show that compared with the original 3D-HEVC, the proposed algorithm reduces the depth encoding time by 44.8%, and the average bit rate of the synthetic viewpoint is only increased by 0.38%, which outperforms the state-of-the-art fast 3D-HEVC algorithms.
The coding units (CU) partitioning in the 3D extension of the high efficiency video coding standard (3D-HEVC) is recursively conducted on different block sizes from 64 x 64 to 8 x 8. Besides, the depthcoding in 3D-HE...
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The coding units (CU) partitioning in the 3D extension of the high efficiency video coding standard (3D-HEVC) is recursively conducted on different block sizes from 64 x 64 to 8 x 8. Besides, the depthcoding in 3D-HEVC introduces several new coding tools for each CU to improve the coding efficiency, however, with great computational complexity. It is noted that only a small number of the CUs in recursive partitioning are encoded into the final bitstream. Among these CUs, the CUs with intra 2N x 2N or intra N x N as optimal modes have a very small proportion. In this paper, we thus propose an early determination of depth intra coding, where the coding stage of intra 2N x 2N, intra N x N or CU Splitting for the CUs could be early skipped based on several Decision Trees. Simulation results show that, with restrict the results from the tree leaves by different Gini thresholds, the proposed algorithm could save 41.14%-71.63% of the depthcoding time with only a slight increase in BDBR.
As the latest 3D video coding standard, 3D High Efficiency Video coding (3D-HEVC) achieves efficient coding. depthcoding plays an important role in 3D-HEVC. For better prediction of edges in depth maps, new depth int...
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ISBN:
(纸本)9781509060672
As the latest 3D video coding standard, 3D High Efficiency Video coding (3D-HEVC) achieves efficient coding. depthcoding plays an important role in 3D-HEVC. For better prediction of edges in depth maps, new depthintra modes were proposed, such as depth Modeling Modes (DMMs). DMM Mode 1, namely explicit wedgelet signalization mode, can improve the performance of synthesized views, but leads to unaffordable encoding computation complexity. In this paper, a simplified search algorithm for explicit wedgelet signalization mode is proposed to predigest the complex search process. First, the proposed algorithm only searches the partition patterns in a limited set based on edge detection in the coarse search stage, since the separation line in the best matching pattern should be similar to the edge in an actual depth prediction unit (PU). Then, a wide range of refinement is implemented to guarantee the coding performance. In fact, up to 24 refinements are tested to provide accurate prediction in the refinement process. Experimental results show that considerable encoding time saving is achieved with negligible performance loss. For all intra test cases, the proposed algorithm achieves an average encoding time saving of 75% for DMM Mode 1 with negligible bitrate increase on synthesized views, compared with the default coarse-refinement algorithm in HTM.
3D-HEVC is in the process of standardization as the highest profile extension of HEVC for 3D video coding, which supports the advanced 3D video format, namely multi-view videos plus depth (MVD). In order to preserve t...
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ISBN:
(纸本)9781479980581
3D-HEVC is in the process of standardization as the highest profile extension of HEVC for 3D video coding, which supports the advanced 3D video format, namely multi-view videos plus depth (MVD). In order to preserve the sharp edges and avoid the ringing artifacts in the synthesized views, depth modelling modes (DMMs) are adopted into 3D-HEVC to achieve high coding efficiency. However, the computational complexity increases significantly with these modes. In this paper, an efficient algorithm of wedgelet pattern decision is proposed for one type of the DMMs: the explicit wedgelet signaling or equivalently DMM1. The proposed algorithm roughly estimates the position of sharp edges by pre-defined regions. Then the optimal wedgelet pattern is only searched in the most probable region. Simulation results show that our algorithm saves about 55% time of the wedgelet pattern selection with the BD-Rate increased by 0.49% in average.
For the purpose of reducing the complexity of depth intra coding,a fast intra prediction mode decision algorithm is ***,the fast decision of depth modeling modes(DMMs) is obtained by using Laplace Operator detection *...
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ISBN:
(纸本)9781510835368
For the purpose of reducing the complexity of depth intra coding,a fast intra prediction mode decision algorithm is ***,the fast decision of depth modeling modes(DMMs) is obtained by using Laplace Operator detection *** by using the correlation between the wedgelet pattern and texture features,only the wedgelet patterns,which are related to the intra angle mode,is *** a consequence,the number of wedgelet patterns is reduced through this *** results indicate that the proposed algorithm can reach the same goal with the reduction of computational complexity by 24.7%,while the quality of the video is almost unchanged.
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