Abstract: A decoding method including: decoding at a current time instant a current image having at least two views respectively representative of a same scene. The decoding includes: deriving a disparity motion vector for a current block; predictively decoding the current block according to the derived disparity motion vector; and during the deriving: constructing a plurality of lists of disparity motion vectors, including at least one list in which at least two disparity motion vectors have been derived respectively according to at least two different estimation methods; applying a first function to the at least two disparity motion vectors of the at least one list, to obtain one disparity motion vector for each of the at least one list, and applying a second function to the disparity motion vectors of the plurality of lists to deliver the derived disparity motion vector.

Abstract: A method for processing a video stream prior to encoding, the video stream potentially comprising a film grain, the method comprising: measuring a film grain intensity in the video stream; obtaining at least one encoding rate information item associated with the video stream, in order to determine a pair of respective values for the grain intensity and encoding rate; comparing the pair values with predetermined respective threshold values in order to categorize the video stream with respect to pairs of predetermined values of grain intensity and rate; and selecting a film grain management strategy among at least four combinations based on the categorization of the video stream.

Abstract: Disclosed is a method for processing noise in a digital image having multiple image portions, including: (a) Predefining: criteria of interest for denoising selected details of any image portion of the digital image; a plurality of possible processing procedures to be applied to an image portion in order to denoise the selected details, each processing procedure having an efficiency related to an associated complexity level, the possible processing procedures being ordered by increasing complexity level; (b) For each portion of the image: analyzing the image portion to quantify the presence of one or more of the selected details in the image portion, and calculating an overall interest of the image portion as a function of respective quantifications of the presences of the selected details; comparing the overall interest at the complexity levels, in order to launch the processing procedure having the complexity level corresponding to the calculated overall interest.

Abstract: A decoding method including: decoding at a current time instant a current image having at least two views respectively representative of a same scene. The decoding includes: deriving a disparity motion vector for a current block; predictively decoding the current block according to the derived disparity motion vector; and during the deriving: constructing a plurality of lists of disparity motion vectors, including at least one list in which at least two disparity motion vectors have been derived respectively according to at least two different estimation methods; applying a first function to the at least two disparity motion vectors of the at least one list, to obtain one disparity motion vector for each of the at least one list, and applying a second function to the disparity motion vectors of the plurality of lists to deliver the derived disparity motion vector.

Abstract: A method is provided for decoding a current image having at least two views which are respectively representative of a same scene. The decoding method includes derivation of a disparity motion vector and, during the derivation: constructing at least one list of disparity motion vectors, in which at least two disparity motion vectors have been obtained respectively according to two different estimation methods; and applying a function to the at least two disparity motion vectors of the list. The method is applicable, for example, to a current image Ik of an MVV or MVD type.

Abstract: A method is provided for coding a current image. The method includes determining, in a first image, different from the current image, a group of k? pixels corresponding to a current group of k pixels (k??k) to be coded of the current image; calculating a motion vector between each of the k? pixels of the first image and a corresponding pixel of a second image different from the current image, on completion of which a field of k? motion vectors is obtained; and predicting the pixels or of the motion of the current group of k pixels of the current image on the basis of the field of k? motion vectors which is obtained.

Abstract: A method for processing a video stream prior to encoding, the video stream potentially comprising a film grain, the method comprising: measuring a film grain intensity in the video stream; obtaining at least one encoding rate information item associated with the video stream, in order to determine a pair of respective values for the grain intensity and encoding rate; comparing the pair values with predetermined respective threshold values in order to categorize the video stream with respect to pairs of predetermined values of grain intensity and rate; and selecting a film grain management strategy among at least four combinations based on the categorization of the video stream.

Abstract: Disclosed is a method for processing noise in a digital image having multiple image portions, including: (a) Predefining: criteria of interest for denoising selected details of any image portion of the digital image; a plurality of possible processing procedures to be applied to an image portion in order to denoise the selected details, each processing procedure having an efficiency related to an associated complexity level, the possible processing procedures being ordered by increasing complexity level; (b) For each portion of the image: analyzing the image portion to quantify the presence of one or more of the selected details in the image portion, and calculating an overall interest of the image portion as a function of respective quantifications of the presences of the selected details; comparing the overall interest at the complexity levels, in order to launch the processing procedure having the complexity level corresponding to the calculated overall interest.

Abstract: Method of transcoding video data with fusion of coding units, computer program, transcoding module and telecommunications equipment associated therewith. Method of transcoding video data between a first and a second format (F1, F2), the method comprising a step of decoding the binary stream (FB1) providing decoded video data, data representative of the coding structure of the frames in the first format (F1) and, for all or some of the first coding units, prediction data, and a step of re-encoding in the course of which the decoded video data are encoded in the second format (F2). During the re-encoding step, an intermediate coding structure is constructed, comprising intermediate coding units constructed so as to correspond to the fusion of one or more first coding units, prediction data are allocated to each of the intermediate coding units, and the decoded video data are re-encoded in the second format (F2) as a function of the intermediate coding structure.

Abstract: A method is provided for coding a current image. The method includes determining, in a first image, different from the current image, a group of k? pixels corresponding to a current group of k pixels (k??k) to be coded of the current image; calculating a motion vector between each of the k? pixels of the first image and a corresponding pixel of a second image different from the current image, on completion of which a field of k? motion vectors is obtained; and predicting the pixels or of the motion of the current group of k pixels of the current image on the basis of the field of k? motion vectors which is obtained.

Abstract: A method is provided for decoding a current image having at least two views which are respectively representative of a same scene. The decoding method includes derivation of a disparity motion vector and, during the derivation: constructing at least one list of disparity motion vectors, in which at least two disparity motion vectors have been obtained respectively according to two different estimation methods; and applying a function to the at least two disparity motion vectors of the list. The method is applicable, for example, to a current image Ik of an MVV or MVD type.