Abstract: Disclosed is a method of encoding a video sequence according to a first set of encoding parameters is presented, including redimensioning the video sequence, generating encoding data of the redimensioned video sequence according to a second set of encoding parameters, determining first encoding data of the video sequence by respective scale transposition of encoded data generated for the redimensioned video sequence, determining, for at least one encoding block of an image of the video sequence, respective pixel residuals from predictive coding data obtained by encoding the redimensioned video sequence applying a block transformation to the pixel residuals determined, and inserting the transformed pixel residuals and the first encoding data into a binary encoding stream of the video sequence.

Abstract: Disclosed is a method for analyzing a set of images of a video sequence with a view to performing a processing of the sequence. The method includes: determining, in the video sequence, a plurality of disjointed consecutive sub-sequences of at least one successive image according to the type of processing to be carried out and according to the content of the video sequence; and analyzing the images of each sub-sequence determined in the video sequence.

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: Disclosed is a method for encoding a first image in a set of images, in which the first image is cut into blocks, each block being encoded according to one from a plurality of encoding modes including at least one temporal correlation prediction encoding mode using a plurality of images from the set of images. The method includes, for a current block of the first image: determining a first motion estimation vector of the current block, determining a value of a visual distortion metric for a temporal correlation prediction encoding mode, the visual distortion metric using a distance between a first temporal prediction vector of the current block pointing to the second image and the first motion estimation vector of the current block, and using the value of the visual distortion metric to encode the current block.

Abstract: Disclosed is a method for analyzing a set of images of a video sequence with a view to performing a processing of the sequence. The method includes: determining, in the video sequence, a plurality of disjointed consecutive sub-sequences of at least one successive image according to the type of processing to be carried out and according to the content of the video sequence; and analyzing the images of each sub-sequence determined in the video sequence.

Abstract: Disclosed is a method of encoding a video sequence according to a first set of encoding parameters is presented, including redimensioning the video sequence, generating encoding data of the redimensioned video sequence according to a second set of encoding parameters, determining first encoding data of the video sequence by respective scale transposition of encoded data generated for the redimensioned video sequence, determining, for at least one encoding block of an image of the video sequence, respective pixel residuals from predictive coding data obtained by encoding the redimensioned video sequence applying a block transformation to the pixel residuals determined, and inserting the transformed pixel residuals and the first encoding data into a binary encoding stream of the video sequence.

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: Disclosed is a method for encoding a first image in a set of images, in which the first image is cut into blocks, each block being encoded according to one from a plurality of encoding modes including at least one temporal correlation prediction encoding mode using a plurality of images from the set of images. The method includes, for a current block of the first image: determining a first motion estimation vector of the current block, determining a value of a visual distortion metric for a temporal correlation prediction encoding mode, the visual distortion metric using a distance between a first temporal prediction vector of the current block pointing to the second image and the first motion estimation vector of the current block, and using the value of the visual distortion metric to encode the current block.

Abstract: The subject matter of the present invention relates to a method and a computing device (100) for processing a video stream (IN) that makes it possible to generate at least two compressed video streams (OUT1 and OUT2), the device according to the present invention comprising:—an analysis means (M1) configured to analyse at least one image (I) of the video stream (IN) in order to determine at least one metric of said video stream (IN), and -at least first (M5—1) and second (M5—2) encoding means configured to encode, on the basis of said at least one metric, said video stream previously decimated spatially and/or temporally so as to obtain said at least two compressed video streams (OUT1, OUT2).

Abstract: The subject of the present invention pertains to a device (100) for decompressing a digital video stream comprising at least one compressed image (I?), said device comprising: —a means of progressive decompression (M4) configured so as to decode said at least one compressed image (I?), and —a means of inverse phase-shifting (M5) configured so as to horizontally and/or vertically phase shift the chrominance plane, for each field (tf, bf) of said at least one decompressed image (I?), according to a determined horizontal (dhi) and/or vertical (dvi) inverse phase shift value, said horizontal (dhi) and/or vertical (dvi) inverse phase shift value being dependent on the horizontal (dh) and/or vertical (dv) phase shift values.

Abstract: The invention relates to a method and a device for regulating the encoding bit rate of video images relative to a target image size). The images being subdivided into zones to be encoded, the complexity of encoding of each zone is distinguished among the zones, the zones to be encoded are classified according to a determined order of complexity, each zone is successively encoded according to the decreasing order of complexity, successively minimizing the estimated encoding error of each zone, the final size of each image relative to the target size and the bit rate of the sequence of video images. Application to the video encoding of images of video sequences, in particular to networked video surveillance.

Abstract: The invention relates to a method and a device for regulating the encoding bit rate of video images relative to a target image size. The images being subdivided into zones to be encoded, the complexity of encoding of each zone is distinguished among the zones, the zones to be encoded are classified according to a determined order of complexity, each zone is successively encoded according to the decreasing order of complexity, successively minimizing the estimated encoding error of each zone, the final size of each image relative to the target size and the bit rate of the sequence of video images. Application to the video encoding of images of video sequences, in particular to networked video surveillance.