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Robust Video Transmission Using Adaptive Bit Allocation

机译:使用自适应位分配的强大视频传输

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A jointly designed source-channel coding technique that protects video signals against transmission errors is proposed in this work. We develop a low-complexity source model which can estimate the bitrate and the quantization error for each packet. Also, the channel distortion is estimated based on the packet importance and the packet loss rate. The packet importance is measured as the mean square error between the error-free reconstruction and the concealed reconstruction, and the packet loss rate is determined by channel conditions. According to the informed channel condition, the encoder adaptively assigns the quantization parameter and the channel code rate to each packet so that the expected mean square error due to source and channel distortions is minimized subject to a constraint on the overall bitrate. Simulation results show that the proposed adaptive system provides acceptable image quality even in a high bit error rate environment.
机译:在这项工作中,提出了一种共同设计的源通道编码技术,可以保护视频信号免受传输错误的影响。我们开发了一种低复杂度的源模型,该模型可以估计每个数据包的比特率和量化误差。而且,基于分组重要性和分组丢失率来估计信道失真。分组的重要性被测量为无差错重构和隐蔽重构之间的均方误差,并且分组丢失率由信道条件确定。根据所通知的信道状况,编码器将量化参数和信道编码率自适应地分配给每个分组,从而在源于总比特率的约束下,将由于源和信道失真而导致的预期均方误差最小化。仿真结果表明,所提出的自适应系统即使在高误码率的环境下也能提供可接受的图像质量。

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