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Fast 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快速深度帧内编码

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摘要

An efficient video coding scheme is significant for video storage and transmission, especially for the massive data of three-dimensional (3D) video. For 3D video coding, three-dimensional high efficiency video coding (3D-HEVC) supports the multi-view video with depth (MVD) format. Both texture and depth sequences for each view should be coded, and the coding process of depth map follows the principle of texture sequence, which increases the computational complexity of 3D-HEVC. Therefore, two fast algorithms for 3D-HEVC depth map coding are proposed to reduce the coding complexity of 3D-HEVC based on the gray-level co-occurrence matrix (GLCM). With GLCM, the texture complexity of the depth map in 3D-HEVC can be effectively described, which enables the prejudgment of CU segmentation depth and candidate intra-prediction modes. Experimental results show that the proposed algorithms can save about 19.1% and 20.2% coding time compared with the 3D-HEVC standard, and outperform the state-of-the-art fast algorithm by 5.7% and 6.8% time-saving, respectively, while keeping almost the same coding efficiency and quality of synthesized views. (C) 2019 Society for Imaging Science and Technology.
机译:有效的视频编码方案对于视频存储和传输,特别是对于三维(3D)视频的海量数据尤其重要。对于3D视频编码,三维高效视频编码(3D-HEVC)支持深度多视点视频(MVD)格式。每个视图的纹理和深度序列都应进行编码,并且深度图的编码过程遵循纹理序列的原理,这会增加3D-HEVC的计算复杂性。因此,提出了两种快速的3D-HEVC深度图编码算法,以降低基于灰度共生矩阵(GLCM)的3D-HEVC编码复杂度。借助GLCM,可以有效地描述3D-HEVC中深度图的纹理复杂度,从而可以对CU分割深度和候选帧内预测模式进行预判断。实验结果表明,与3D-HEVC标准相比,该算法可节省约19.1%的编码时间和20.2%的编码时间,并且分别比最新的快速算法节省了5.7%和6.8%的时间。保持几乎相同的编码效率和合成视图的质量。 (C)2019影像科学与技术学会。

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  • 来源
    《Journal of Imaging Science and Technology》 |2019年第3期|030406.1-030406.8|共8页
  • 作者单位

    Huaqiao Univ, Sch Informat Sci & Engn, Xiamen, Fujian, Peoples R China|Xiamen Key Lab Mobile Multimedia Commun, Xiamen, Fujian, Peoples R China;

    Huaqiao Univ, Sch Informat Sci & Engn, Xiamen, Fujian, Peoples R China|Xiamen Key Lab Mobile Multimedia Commun, Xiamen, Fujian, Peoples R China;

    Huaqiao Univ, Sch Informat Sci & Engn, Xiamen, Fujian, Peoples R China|Xiamen Key Lab Mobile Multimedia Commun, Xiamen, Fujian, Peoples R China;

    Huaqiao Univ, Sch Informat Sci & Engn, Xiamen, Fujian, Peoples R China|Xiamen Key Lab Mobile Multimedia Commun, Xiamen, Fujian, Peoples R China;

    Huaqiao Univ, Sch Engn, Quanzhou, Fujian, Peoples R China;

    Huaqiao Univ, Sch Informat Sci & Engn, Xiamen, Fujian, Peoples R China|Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore;

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