Abstract: The invention relates to a method of selecting among N “Spatial Video CODECs” where N is an integer number greater than 1, the optimum “Spatial Video CODEC” for a same input signal I. “Spatial Video CODEC” is understood as the combination of any transform of the input signal, followed by a quantization of the transform coefficients and a corresponding entropic coder. Firstly from all the N “Spatial Video CODECs” for the same input signal I and a same quality parameter Q, the rate R and the distortion measures D are obtained. Q is an integer value between 0 and 100, defined by any rate-distortion algorithm to provide a compression of the input sequence with constant rate or with constant distortion. Further an optimality criterion is calculated. The optimality criterion is defined as the minimization of the value Ln=f(Rn,Dn) calculated for all the n from 1 to N. n is the index of the “Spatial Video CODEC”, where f(Rn,Dn) is a function of Rn and Dn.

Abstract: The invention relates to a method of selecting among N “Spatial Video CODECs” where N is an integer number greater than 1, the optimum “Spatial Video CODEC” for a same input signal I. “Spatial Video CODEC” is understood as the combination of any transform of the input signal, followed by a quantization of the transform coefficients and a corresponding entropic coder. Firstly from all the N “Spatial Video CODECs” for the same input signal I and a same quality parameter Q, the rate R and the distortion measures D are obtained. Q is an integer value between 0 and 100, defined by any rate-distortion algorithm to provide a compres-sion of the input sequence with constant rate or with constant distortion. Further an optimality criterion is calculated. The optimality criterion is defined as the minimization of the value Ln=f(Rn,Dn) calculated for all the n from 1 to N. n is the index of the “Spatial Video CODEC”, where f(Rn,Dn) is a function of Rn and Dn.

Abstract: The invention relates to a video coding method of exploiting the temporal redundancy between successive frames in a video sequence. A reference frame, called 1-frame, is first approximated by a collection of geometric features, called atoms. The following predicted frames called, P-frames, are approximated by the geometric transformations of the geometric features (atoms) describing the previous frame. Preferably, the I-frame is approximated by a linear combination of N atoms (formula), selected in a redundant, structured library. They are indexed by a string of parameters representing the geometric transformations applied to the generating mother function g(x,y) and the cn are weighting coefficients.