IEEE Trans Image Process - Prediction of transmission distortion for wireless video communication: analysis.

Tópicos

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Resumo

Transmitting video over wireless is a challenging problem since video may be seriously distorted due to packet errors caused by wireless channels. The capability of predicting transmission distortion (i.e., video distortion caused by packet errors) can assist in designing video encoding and transmission schemes that achieve maximum video quality or minimum end-to-end video distortion. This paper is aimed at deriving formulas for predicting transmission distortion. The contribution of this paper is twofold. First, we identify the governing law that describes how the transmission distortion process evolves over time and analytically derive the transmission distortion formula as a closed-form function of video frame statistics, channel error statistics, and system parameters. Second, we identify, for the first time, two important properties of transmission distortion. The first property is that the clipping noise, which is produced by nonlinear clipping, causes decay of propagated error. The second property is that the correlation between motion-vector concealment error and propagated error is negative and has dominant impact on transmission distortion, compared with other correlations. Due to these two properties and elegant error/distortion decomposition, our formula provides not only more accurate prediction but also lower complexity than the existing methods.

Resumo Limpo

transmit video wireless challeng problem sinc video may serious distort due packet error caus wireless channel capabl predict transmiss distort ie video distort caus packet error can assist design video encod transmiss scheme achiev maximum video qualiti minimum endtoend video distort paper aim deriv formula predict transmiss distort contribut paper twofold first identifi govern law describ transmiss distort process evolv time analyt deriv transmiss distort formula closedform function video frame statist channel error statist system paramet second identifi first time two import properti transmiss distort first properti clip nois produc nonlinear clip caus decay propag error second properti correl motionvector conceal error propag error negat domin impact transmiss distort compar correl due two properti eleg errordistort decomposit formula provid accur predict also lower complex exist method

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