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Error-resilient image and video coding over lossy networks.

机译：有损网络上的防错图像和视频编码。

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The rapid growth of the Internet and increasing bandwidth in the past decade has heightened the interest in robust transmission of image and video signals over error-prone links. Recent literatures highlight the multiple description (MD) coding as a promising approach to solve this problem. MD coding is a source coding technique that provides a graceful quality degradation in the presence of packet losses during transmission. Topics of interest to construct MD coders with high coding efficiency and robustness are studied in this thesis.; To minimize the overall distortion of reconstructed image, we propose an edge-adaptive estimation algorithm that is able to capture the arbitrarily-oriented edges around the corrupted coefficients. It reconstructs the lost samples more accurately compared to the previously proposed methods in the literatures. A feature-oriented MD coding scheme is proposed by adopting this estimation algorithm to smartly identify the coefficients that are sensitive to packet loss. The redundancy is then inserted to each channel by jointly optimizing the subsets of sensitive coefficients and the related quantizers. The corrupted samples are reconstructed with the proposed estimation algorithm at the receiver.; By introducing the extra prediction loops to the correlating transform based MD video coder, the mismatching error, i.e. the drift, incurred by the one-channel reconstruction is decreased. However, the problem of effective redundancy allocation is introduced by the drift coding. An efficient algorithm is developed to solve this problem. The proposed approach optimally adjusts the source coding rates for the correlating transform coefficients and drifts in a coordinated fashion.; The proposed algorithms are implemented based on the image/video MD coding systems using DCT or wavelet transforms. The advantages of the introduced approaches to achieve high coding efficiency and error-resilience for transmission are demonstrated.
机译：在过去的十年中，Internet的快速发展和带宽的增加，引起了人们对通过易于出错的链路进行健壮的图像和视频信号传输的兴趣。最近的文献强调了多描述（MD）编码是解决该问题的一种有前途的方法。 MD编码是一种源编码技术，可在传输过程中出现丢包时提供适度的质量下降。本文研究构建具有高编码效率和鲁棒性的MD编码器的主题。为了使重构图像的整体失真最小，我们提出了一种边缘自适应估计算法，该算法能够捕获损坏系数周围的任意方向的边缘。与文献中先前提出的方法相比，它可以更准确地重建丢失的样本。通过采用这种估计算法，提出了面向特征的MD编码方案，以智能地识别对丢包敏感的系数。然后通过共同优化敏感系数和相关量化器的子集，将冗余插入每个通道。损坏的样本在接收器处使用提出的估计算法进行重建。通过将额外的预测循环引入到基于相关变换的MD视频编码器中，可以减少单通道重构所引起的失配误差，即漂移。但是，有效的冗余分配问题由漂移编码引入。开发了一种有效的算法来解决这个问题。所提出的方法为相关变换系数和漂移以协调的方式最佳地调整了源编码率。所提出的算法是基于使用DCT或小波变换的图像/视频MD编码系统实现的。展示了所引入的方法的优点，以实现高编码效率和传输的容错性。

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