Ateme

Ateme Sa

Pierre Larbier

Mathieu Monnier

Jean-Marc Thiesse

Elie Mora

Marc Baillavoine

Zineb Agyo

Etienne Dupuis

Elie Gabriel Mora

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.

Method of image encoding and facility for the implementation of the method

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.

Method for analyzing a video sequence and equipment for implementing said method

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.

Hybrid denoising of images and videos based on interest metrics

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.

Encoding method and equipment for implementing the method

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.

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Bievres, France

Pierre Larbier