Speech and Video Coding for Unreliable Channels

TL;DRAbstract

Speech and video communications via the Internet and cellular phones have become a part of modern life. This thesis deals with different methods for speech and video transmission over noisy and lossy communication channels.The block-based video error concealment problem, where redundancy in the received data is used for mending lost parts, is first considered. A Gaussian mixture model (GMM)-based estimator of lost pixels is devised,and dirent analytical solutions are derived for the important case of consecutive packet losses.Though asymptotically optimal in the number of mixture components, the GMM-based scheme is computationally complex and based on offline parameter optimization that does not maximize the established peak signalto-noise ratio (PSNR) distortion measure that is used for evaluating the system.In a second effort, a low-complexity mixture-based estimator, whose parameters are found by an algorithm that maximizes PSNR in every iteration, is therefore proposed. The new est

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