Ateme

Orange

Elie Mora

Joel Jung

Thomas Guionnet

Mohsen Abdoli

Anthony Nasrallah

Pierre Larbier

Mathieu Monnier

Marco Cagnazzo

Beatrice Pesquet-Popescu

Katarina Dorovic

A method of processing an image divided into a plurality of pixel blocks which are processed according to a processing sequence is provided, which comprises, for a current pixel block: determining an application area comprising a set of pixels in blocks preceding the current block in the processing sequence; performing a gradient analysis on at least one pixel of the application area; selecting at least two intra prediction video coding modes among a plurality of intra prediction video coding modes usable for processing the current pixel block, wherein at least one of the selected intra prediction video coding modes is selected based on the gradient analysis; determining a plurality of predictors of the current pixel block based on the at least two selected intra prediction video coding modes; and generating a predictor of the current pixel block based on the determined plurality of predictors.

Method for image processing and apparatus for implementing the same

A method of processing an image divided into a plurality of pixel blocks which are processed according to a processing sequence is provided, which comprises, for a current pixel block: determining an application area consisting of a set of pixels in blocks preceding the current block in the processing sequence, for each pixel of the application area, computing a gradient representing a directional change of an intensity at the pixel, and selecting, based on at least one of the computed gradients, an intra prediction video coding mode among a plurality of intra prediction video coding modes usable for encoding and/or decoding the current block.

A method of encoding a first image in a plurality of images of input video data, wherein the first image is divided into a plurality of pixel blocks comprises, for a current block of the first image: determining a motion speed for the current block with respect to a reference block correlated to the current block in a second image of the plurality of images, wherein the second image is distinct from the first image and was previously encoded according to an image encoding sequence for encoding the images of the plurality of images; determining an interpolation filter based on the motion speed; and using the interpolation filter for calculating fractional pixel values in the second image for a temporal prediction of pixels of the current block based on the reference block of the second image.

Method for image encoding and apparatus for implementing the same using interpolation filter based on motion speed

The disclosure relates to a method for processing the noise of a stream comprising a series of images, comprising spatial filtering of a current image Iin order to obtain a spatially filtered image S; determining a motion vector for each block B of pixels of the image S, from a single image S; calculating a confidence index &#x3b1;[B] for each block B of image I, from the motion vector determined for B; constructing a temporal filter from the calculated confidence indices &#x3b1;[B] and applying the temporal filter to the current image Iin order to obtain a temporally filtered image T; spatial filtering of the current image Iin order to obtain a spatially filtered image Dwhere Dcan be equal to S, and obtaining a temporally and spatially filtered image Rby applying a function combining image Tand image D.

Spatio-temporal denoising of video content based on confidence indexes

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.

Derivation of disparity motion vector, 3D video coding and decoding using such derivation

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.

Intelligent compression of grainy video content

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

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 Iof an MVV or MVD type.

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&#x2032;&#x2264;k) to be coded of the current image; calculating a motion vector between each of the k&#x2032; 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&#x2032; 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&#x2032; motion vectors which is obtained.

Video encoding and decoding by inheritance of a field of motion vectors

A method is provided for decoding at least one current encoded block of a first image relative to a reference block of a second image including at least one common element with the first image, wherein the reference block has been previously decoded. The method includes: filtering the decoded reference block; estimating, only on the basis of the filtered decoded reference block, at least one value of a local characteristic of the filtered decoded reference block; determining, on the basis of the estimated value of the local characteristic: a set of decoding information to be used for decoding the current block, a method for decoding the current block, on the basis of the estimated value of the local characteristic, decoding the current block on the basis of the set of determined decoding information and according to the determined decoding method.

Method, device, and computer readable medium for encoding and decoding of three dimensional video of a current block of fixed images involving coding a current block as a function of coding information and coding process using selective inheritance

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Paris, France

Elie Mora