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1、无线网络和因特网等传输信道的不可靠性向高效的视频编. I摘 要 in the network layer, the error-resilient source coding can also reduce the network burden and becomes even more efficient, and hence achieve better Quality of Services (QoS). This dissertation targets at the rate-distortion optimized error-resi
2、lient video coding. The typical video transmission system is first studied, including the theoretical analysis and modeling of the transmission errors. The end-to-end distortion function is then derived in terms of the source and channel characteristics as well as the employed error concealment meth
3、od. Based on the end-to-end distortion model, the joint source-channel rate-distortion optimized error-resilient coding is proposed, including the selection of coding control parameters. The contributions of this dissertation are summarized as below. Firstly, a low-cost yet efficient end-to-end dist
4、ortion estimation approach is proposed. The end-to-end distortion estimation plays a key role in error-resilient coding. The traditional end-to-end distortion models usually simply add the source and channel distortions, which are inaccurate especially when the error rate is large. Distinctively, th
5、e proposed distortion model associates all distortion items (including source, error-propagation and error-concealment distortions) with the error rate in theory. Each distortion item is further separated into several small distortion items that can be calculated either directly or recursively. In p
6、articular, the recursive calculation scheme is employed to trace the error propagation from all previous frames. Since the overall distortion in the proposed model is taken as the sum of several distortion items, it can suppress the approximation errors from sub-pixel motion-compensated prediction a
7、nd in-loop filter. The proposed model can be easily extended to the block-level implementation. Experimental results show that the proposed end-to-end distortion model has very high precision with either block-level or pixel-level implementation, while its computational cost is also very low. Second
8、ly, a joint source-channel rate-distortion optimization method is proposed. The traditional rate-distortion function is extended in terms of the above end-to-end distortion model, in which the coding parameters such as quantization stepsize and Study on Rate-Distortion Optimization in Error Resilien
9、t Video Coding Abstract 4motion vectors are jointly considered for the overall rate-distortion optimization. The Lagrange method is employed due to its wide adoption. Intuitively, the Lagrange multiplier should be related to the channel conditions. Thanks to the proposed distortion model, for the fi
10、rst time, the Lagrange multiplier in packet-loss environment is derived in theory. Based on the derived end-to-end distortion and the new Lagrange multiplier, a generalized joint source-channel rate-distortion estimation framework is developed. Experimental results show that the proposed method can
11、achieve high efficiency while it has much lower computational cost. Thirdly, a rate-distortion optimized hybrid error-resilient video coding approach is proposed, in which the various error-resilient coding tools are jointly optimized. The typical error-resilient tools are statistically analyzed in
12、terms of the relationship between the source of redundancies and the final quality at the decoder side. The statistics show that it is less efficient in the control of error propagation by separately optimizing these coding tools. Accordingly, jointly using these coding tools leads to a further opti
13、mization problem. Thanks to generalized framework of the proposed end-to-end distortion model, it is feasible to consider the influence of error concealment at the encoder side. In particular, the flexible macroblock order (FMO) and data partitioning tools are jointly optimized with the help of the
14、extended end-to-end distortion model. Finally, an adaptive packetization method is proposed, targeting at the video transimission over the wireless network. Above all, the mean and the variance of overall end-to-end distortion are studied. The statistics show that the error-concealment distortion an
15、d its variance are more sensitive to the packetization scheme rather than the overall distortion. Thanks to the proposed end-to-end distortion model that represents the error-concealment distortion separately, it is readily feasible to have the adaptive packetization mechanism. In particular, the slicing and packetization parameters are decided according to the calculated error-concealment distortion prior to the coding of the current frame. The proposed approach significantly improves the overa
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