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A New Object-Based Variational Approach for MPEG2 Data Recovery over Lossy Packet Networks

机译:用于MPEG2数据恢复的基于新的基于对象的变分方法,超过有损数据包网络

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In this paper, we propose an object-based variational approach for the decoding of MJPEG and MPEG1-2 video sequences. This new method improves the visual quality of the reconstructed sequence by reducing the impact of cell losses, due to the transmission of the sequences over lossy packet networks. Generally, two kinds of approaches are suggested to tackle this problem: a preventive "network" approach tends to provide a more robust bit-stream in order to help the recovery of the lost data, for instance by adding redundancy to the bitstream, and a concealment "image" approach, that tends to reduce visual impact resulting from the packet loss. The proposed method combines "network" information provide by the transmission protocol, with an adapted "image" decoding algorithm. Several experimental results demonstrate the efficiency of the decoding method: lost areas are largely recovered, compared to a standard decoding, both on the background and on the objects.
机译:在本文中,我们提出了一种基于对象的变分方法,用于解码MJPEG和MPEG1-2视频序列。由于序列传输超过有损分组网络,这种新方法通过降低细胞损失的影响来提高重建序列的视觉质量。通常,建议两种方法来解决这个问题:预防性“网络”方法倾向于提供更强大的比特流,以帮助恢复丢失的数据,例如通过向比特流添加冗余,以及一个隐藏“图像”方法,这往往会降低零件损耗所产生的视觉冲击。该方法将通过传输协议提供的“网络”信息组合,具有适应的“图像”解码算法。几种实验结果表明解码方法的效率:与在背景上的标准解码和对象上相比,丢失区域很大程度上被恢复。

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