A method is provided for encoding at least one image cut into blocks. The method includes, for a current block having K pixels to be encoded, wherein K>1, acts including: predicting the current block using at least one predictive block having K pixels; then determining a residual block having K pixels and representing the difference between the predictive block and the common block. A set of Mi data is determined from a pixel block group containing a number Mi of blocks having K pixels and each representing a predetermined texture, wherein 1<Mi<K, by calculating the pixel-by-pixel product of the residual block determined by each of the Mi blocks of K pixels representing a predetermined texture, and encoding the Mi data from the determined data set.

A data compression apparatus is described which has an encoder configured to receive an input data item and to compress the data item into an encoding comprising a plurality of numerical values. The numerical values are grouped at least according to whether they relate to content of the input data item or style of the input data item. The encoder has been trained using a plurality of groups of training data items grouped according to the content and where training data items within individual ones of the groups vary with respect to the style. The encoder has been trained using a training objective which takes into account the groups.

A data compression apparatus is described which has an encoder configured to receive an input data item and to compress the data item into an encoding comprising a plurality of numerical values. The numerical values are grouped at least according to whether they relate to content of the input data item or style of the input data item. The encoder has been trained using a plurality of groups of training data items grouped according to the content and where training data items within individual ones of the groups vary with respect to the style. The encoder has been trained using a training objective which takes into account the groups.

Implementations related to coding and/or decoding image data employing video coding with embedded motion are disclosed.

Implementations related to coding and/or decoding image data employing video coding with embedded motion are disclosed.

Implementations related to coding and/or decoding image data employing video coding with embedded motion are disclosed.

Implementations related to coding and/or decoding image data employing video coding with embedded motion are disclosed.

A method, system, and apparatus for video coding and decoding with embedded motion information are disclosed. Image data is associated with basis functions and motion data. A method of identifying one or more basis functions which are representative of image data and associating the basis function with the motion data. A method or receiving information indicative of a basis function and of motion data and determining a motion vector based on the motion data. A system where portions of an image representative of basis functions are further associated with motion data at an encoder and then communicated to a decoder. A decoder produces at least portions of a predicted image using basis functions parameters and motion data.

A method, system, and apparatus for video coding and decoding with embedded motion information are disclosed. Image data is associated with basis functions and motion data. A method of identifying one or more basis functions which are representative of image data and associating the basis function with the motion data. A method or receiving information indicative of a basis function and of motion data and determining a motion vector based on the motion data. A system where portions of an image representative of basis functions are further associated with motion data at an encoder and then communicated to a decoder. A decoder produces at least portions of a predicted image using basis functions parameters and motion data.

A data compression apparatus is described which has an encoder configured to receive an input data item and to compress the data item into an encoding comprising a plurality of numerical values. The numerical values are grouped at least according to whether they relate to content of the input data item or style of the input data item. The encoder has been trained using a plurality of groups of training data items grouped according to the content and where training data items within individual ones of the groups vary with respect to the style. The encoder has been trained using a training objective which takes into account the groups.