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Simplified depth intra coding for 3D-HEVC based on gray-level co-occurrence matrix

机译:基于灰度共生矩阵的3D-HEVC简化深度帧内编码

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The three-dimensional high efficiency video coding (3D-HEVC) is an emerging standard to compress multi-view video plus depth (MVD) data. In 3D-HEVC, many new approaches are developed for depth intra coding. In addition to the 35 intra prediction modes inherited from HEVC, depth modeling modes (DMMs) are also employed to better preserve the object edges, which improve the coding efficiency significantly, but at the same time put heavy computational burden on the encoder. To reduce the complexity, we propose a fast depth intra coding scheme using gray-level co-occurrence matrix (GLCM) to classify the coding units (CUs) into different types, and avoid checking some unnecessary modes for certain CUs. Experimental results show that the proposed algorithm can achieve on average 19.16% time reduction, with a negligible Bjontegaard Delta bitrate (BD-rate) increase of 0.12% on synthesized views, compared with the original 3D-HEVC test model HTM-15.0.
机译:三维高效视频编码(3D-HEVC)是一种新兴的压缩多视图视频加深度(MVD)数据的标准。在3D-HEVC中,开发了许多用于深度帧内编码的新方法。除了从HEVC继承的35种帧内预测模式外,还采用深度建模模式(DMM)更好地保留了对象边缘,从而显着提高了编码效率,但同时也给编码器带来了沉重的计算负担。为了降低复杂度,我们提出了一种使用灰度共现矩阵(GLCM)的快速深度帧内编码方案,以将编码单元(CU)分为不同类型,并避免检查某些CU的不必要模式。实验结果表明,与原始3D-HEVC测试模型HTM-15.0相比,所提出的算法平均可减少19.16%的时间,并且在合成视图上的Bjontegaard Delta比特率(BD-rate)增长可忽略不计0.12%。

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