IEEE Trans Image Process - Rate distortion analysis for spatially scalable video coding.

Tópicos

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Resumo

In this paper, we derive the rate distortion lower bounds of spatially scalable video coding techniques. The methods we evaluate are subband and pyramid motion compensation where temporal redundancies in the same spatial layer as well as interlayer spatial redundancies are exploited in the enhancement layer encoding. The rate distortion bounds are derived from rate distortion theory for stationary Gaussian signals where mean square error is used as the distortion criteria. Assuming that the base layer is encoded by a non-scalable video coder, we derive the rate distortion functions for the enhancement layer, which depend on the power spectral density of the input signal, the motion prediction error probability density function and the base layer encoding performance. We will show that pyramid and subband methods are expected to outperform independently encoding the enhancement layer using motion-compensated prediction, in terms of rate distortion efficiency, when the base layer is encoded at a relatively higher quality or less accurate displacement estimation happens in the enhancement layer.

Resumo Limpo

paper deriv rate distort lower bound spatial scalabl video code techniqu method evalu subband pyramid motion compens tempor redund spatial layer well interlay spatial redund exploit enhanc layer encod rate distort bound deriv rate distort theori stationari gaussian signal mean squar error use distort criteria assum base layer encod nonscal video coder deriv rate distort function enhanc layer depend power spectral densiti input signal motion predict error probabl densiti function base layer encod perform will show pyramid subband method expect outperform independ encod enhanc layer use motioncompens predict term rate distort effici base layer encod relat higher qualiti less accur displac estim happen enhanc layer

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