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Joint Source-Channel Rate-Distortion Optimization Algorithm for Multiview Video Coding

机译:用于多视图视频编码的联合信源-信道速率失真优化算法

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摘要

A hybrid estimate model for transmission distortions is proposed by analyzing characteristics of error propagation in multiview video coding (MVC) in this paper. Based on this model, a joint source-channel RDO mode selection algorithm is proposed, which combines the transmission distortion estimation model with traditional RDO to select out the optimal mode to decrease the distortion of decoded pictures. Both proposed model and algorithm are demonstrated via simulation results for video transmission over packet loss channel. The transmission distortions can be estimated quickly and accurately by proposed model. Compared with RDO in JMVC, joint source-channel RDO mode selection algorithm can improve the quality of decoded pictures 1.38 dB in average when the video streams are transmitted through error-prone channels.
机译:通过分析多视点视频编码(MVC)中误差传播的特性,提出了一种传输失真的混合估计模型。在此模型的基础上,提出了一种联合信源信道的RDO模式选择算法,该算法将传输失真估计模型与传统的RDO相结合,以选择最优模式来减少解码图像的失真。通过仿真结果证明了所提出的模型和算法在丢包信道上进行视频传输。所提出的模型可以快速,准确地估计传输失真。与JMVC中的RDO相比,联合源通道RDO模式选择算法可以在视频流通过容易出错的通道传输时提高解码图像的平均质量1.38 dB。

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