论文标题
内容自适应运动补偿频率选择性外推，以掩盖视频通信中的错误隐藏
Content-Adaptive Motion Compensated Frequency Selective Extrapolation for Error Concealment in Video Communication
论文作者
论文摘要
如果数字视频数据是通过不可靠的通道（例如Internet或无线终端）传输的，则由于传输错误而导致严重图像失真的风险无处不在。为了应对这一点，可以在接收器的扭曲数据上应用错误隐藏。在此贡献中，我们提出了一种新型的时空误差隐藏算法，内容适应运动补偿频率选择性推断。该算法分为两个阶段，而首先估计了扭曲序列的运动。之后，生成信号模型以掩盖失真。新颖的算法基于已经存在的误差隐藏算法。但是，通过将模型生成适应序列的含量，新型算法能够利用其余信息（仍然以失真的序列可用），与原始算法相比，该信息仍然更有效。这样，与基础算法相比，与其他错误隐藏算法相比，与基础算法相比，视觉上明显的增益高达0.51 dB PSNR。
If digital video data is transmitted over unreliable channels such as the internet or wireless terminals, the risk of severe image distortion due to transmission errors is ubiquitous. To cope with this, error concealment can be applied on the distorted data at the receiver. In this contribution we propose a novel spatio-temporal error concealment algorithm, the Content-Adaptive Motion Compensated Frequency Selective Extrapolation. The algorithm operates in two stages, whereas at first the motion in a distorted sequence is estimated. After that, a model of the signal is generated for concealing the distortion. The novel algorithm is based on an already existent error concealment algorithm. But by adapting the model generation to the content of a sequence, the novel algorithm is able to exploit the remaining information, which is still available in the distorted sequence, more effectively compared to the original algorithm. In doing so, a visually noticeable gain of up to 0.51 dB PSNR compared to the underlying algorithm and more than 3 dB compared to other error concealment algorithms can be achieved.
