Abstract: A method for temporal decomposition and reconstruction of an input video signal is disclosed. The method uses a prediction process and an update process in the framework of motion compensated temporal filtering (MCTF), the motion information used for the update process being derived from the motion information used for the prediction process, and the method employing a block based video codec composed of an encoder and a decoder. In response to the update and prediction processes on a picture being based on N reference pictures where N is greater than one, the update process is split into N update processes using a single picture as a reference. Each one of the split update processes is executed each time a picture that is needed as a reference by the process is received.

Abstract: A method for temporal decomposition and reconstruction of an input video signal is disclosed. The method can use a prediction process and an update process in the framework of motion compensated temporal filtering (MCTF), the method can employ a block based video codec having an encoder and a decoder. A residual picture signal and a low-pass picture signal are received, the low-pass picture signal having a lesser precision than that of the residual picture signal, and in response to the residual picture signal being decoded in the decoder, the residual picture signal is clipped and reduced in precision, such that the low-pass picture signal, a reconstructed picture, and the residual picture signal have equal precisions. An inverse MCTF process, using a lifting scheme, can be performed on the clipped residual signal.

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 I-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.

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: A method for temporal decomposition and reconstruction of an input video signal is disclosed. The method uses a prediction process and an update process in the framework of motion compensated temporal filtering (MCTF), the motion information used for the update process being derived from the motion information used for the prediction process, and the method employing a block based video codec composed of an encoder and a decoder, the decoder having a residual buffer. A residual picture signal is received, and in response to the signal being decoded in the decoder, the residual picture signal is clipped such that the residual picture signal is reduced in precision prior to storing it in the residual buffer, thereby allowing the codec to use a conventional picture buffer that stores a reconstructed picture.

Abstract: A method for temporal decomposition and reconstruction of an input video signal is disclosed. The method uses a prediction process and an update process in the framework of motion compensated temporal filtering (MCTF), the motion information used for the update process being derived from the motion information used for the prediction process, and the method employing a block based video codec composed of an encoder and a decoder. In response to the update and prediction processes on a picture being based on N reference pictures where N is greater than one, the update process is split into N update processes using a single picture as a reference. Each one of the split update processes is executed each time a picture that is needed as a reference by the process is received.

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.

Abstract: The invention relates to a method of computing wavelets temporal coefficients of a GOP (Group Of Pictures) the length of which is 2n. A controlled temporal transform is applied recursively generating n decomposition levels. Each decomposition level comprises the mean and the mean difference of each couple of input signals. During the last n-1 decomposition levels each decomposition level transform block is controlled by a control signal corresponding to the sum of two temporal mean differences outputted from the previous decomposition level. The corresponding temporal means of said previous decomposition level are the input signals for said transform block. When the said control signal is equal to zero the output values of said transform block is the temporal mean value and the temporal mean difference of the input signals. When the control signal is different from zero, the output signals are the said input signals.