Abstract: A method is proposed of selection, for a current image portion to be encoded and for at least one encoding module included in a video encoder, of at least one encoding parameter from amongst a set of encoding parameters available for the at least one encoding module. The method is based on a decision model defining a minimization, under a rate constraint, of a first measurement of distortion between source samples, included in the current image portion to be encoded, and current reconstructed samples, included in a current reconstructed image portion, obtained from the current image portion to be encoded. The decision model defines the minimization under an additional smoothness constraint, pertaining to a second measurement of distortion between the current reconstructed samples and preceding reconstructed samples, belonging to a temporal reference neighborhood comprising at least one preceding reconstructed image portion obtained from at least one preceding encoded image portion.

Abstract: A method and apparatus are provided for processing movement information relating to a regular image of a sequence of images. The method includes: a step of building a list including at least one expected piece of movement information and at least one unexpected piece of movement information; a first step of associating expected movement information with movement information according to a first rule for optimizing the cost of encoding the movement information to be encoded; a second step of associating each unexpected piece of movement information not associated during the first association step with movement information to be encoded, identified among the pieces of movement information of the list, according to a second rule which aims to ensure that each piece of movement information is associated with a single piece of movement information to be encoded.

Abstract: A method is proposed of selection, for a current image portion to be encoded and for at least one encoding module included in a video encoder, of at least one encoding parameter from amongst a set of encoding parameters available for the at least one encoding module. The method is based on a decision model defining a minimization, under a rate constraint, of a first measurement of distortion between source samples, included in the current image portion to be encoded, and current reconstructed samples, included in a current reconstructed image portion, obtained from the current image portion to be encoded. The decision model defines the minimization under an additional smoothness constraint, pertaining to a second measurement of distortion between the current reconstructed samples and preceding reconstructed samples, belonging to a temporal reference neighborhood comprising at least one preceding reconstructed image portion obtained from at least one preceding encoded image portion.

Abstract: A method and apparatus are provided for processing movement information relating to a regular image of a sequence of images. The method includes: a step of building a list including at least one expected piece of movement information and at least one unexpected piece of movement information; a first step of associating expected movement information with movement information according to a first rule for optimizing the cost of encoding the movement information to be encoded; a second step of associating each unexpected piece of movement information not associated during the first association step with movement information to be encoded, identified among the pieces of movement information of the list, according to a second rule which aims to ensure that each piece of movement information is associated with a single piece of movement information to be encoded.