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A New Low-Complexity Error Concealment Method for Stereo Video Communication

机译:立体视频通信中一种新的低复杂度错误掩盖方法

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The emerging popularity of three dimensional content has instigated the advances of stereo video coding and transmission techniques. According to the existing video compression standards, highly compressed stereo video bit streams are susceptible to transmission errors. As a consequence of the unavoidable spatial, temporal, and inter-view error propagation, the display quality is severely degraded at the receiver side. In this paper, to deal with the whole-frame loss of the right view in H.264-compressed stereo video bitstream transmission, a highly efficient perceptual whole-frame loss of right view error concealment algorithm is proposed with a fast error concealment strategy. Firstly, a fast error concealment strategy is presented, and an efficient image quality Index, gradient magnitude similarity deviation (GMSD) is extended to the concepts of temporal GMSD (TGMSD) and inter-view GMSD (VGMSD), respectively, to evaluate the perceptual quality of stereo image. Then, according to the temporal correlation of video sequences, macroblock (MB) prediction modes of the previous right-view frame are used as the MB prediction mode of the lost frame. Then, MBs in the previous frame of the lost frame are also matched, in both temporal and inter-view domains, to obtain the pixel-based TGMSD and VGMSD maps. Finally, for each MB in the lost right-view frame, its TGMSD and VGMSD values are calculated and compared to obtain the MB prediction mode, after which either motion compensation or disparity compensation can be quickly decided and used for resilience of the lost right-view frame. Experimental results show that compared with traditional error concealment algorithms, the proposed algorithm has superior subjective and objective qualities, and compared with the error concealment algorithms based on structure similarity, its error concealment time is reduced by about 40 % with almost same perceptual quality.
机译:三维内容的日益流行促使立体声视频编码和传输技术的发展。根据现有的视频压缩标准,高度压缩的立体声视频比特流容易受到传输错误的影响。由于不可避免的空间,时间和视图间误差传播的结果,在接收器侧显示质量严重下降。针对H.264压缩立体声视频比特流传输中右视的全帧丢失问题,提出了一种具有快速错误隐藏策略的高效感知性全帧右视误码丢失算法。首先,提出了一种快速的错误隐藏策略,并将有效的图像质量指标,梯度幅度相似度偏差(GMSD)分别扩展到时间GMSD(TGMSD)和视图间GMSD(VGMSD)的概念,以评估感知力。立体图像的质量。然后,根据视频序列的时间相关性,将先前右眼帧的宏块(MB)预测模式用作丢失帧的MB预测模式。然后,丢失帧的前一帧中的MB在时间和视图间域中也都匹配,以获得基于像素的TGMSD和VGMSD映射。最后,针对丢失的右视帧中的每个MB,计算其TGMSD和VGMSD值并进行比较,以获得MB预测模式,此后,可以快速确定运动补偿或视差补偿,并将其用于丢失的右视的弹性。视图框架。实验结果表明,与传统的错误隐藏算法相比,该算法具有较好的主观和客观质量,与基于结构相似性的错误隐藏算法相比,在相同的感知质量下,其错误隐藏时间减少了约40%。

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