Abstract: 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.

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: 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 is provided, which 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.

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: A method for processing High Dynamic Range (HDR) video in order to improve the perceived visual quality of encoded content. An encoder receives an original image, wherein a contrast analysis is performed on said original image in order to highlight potential problematic areas. The original image is reduced to a decreased bit depth image in order to compute a predicted image, wherein the predicted image is then magnified to an increased bit depth image. A residual image is then computed from the original image and the increased bit depth image, and the residual image is transformed into a frequency signal. Quantized coefficients determined through the contrast analysis are then applied to the frequency signal to produce a reduced frequency signal. The encoder then inserts high-frequency components into the reduced frequency signal before encoding a compressed image from the reduced frequency image and the predicted image.

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 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: A method for processing High Dynamic Range (HDR) video in order to improve the perceived visual quality of encoded content. An encoder receives a n original image, wherein a contrast analysis is performed on said original image in order to highlight potential problematic areas. The original image is reduced to a decreased bit depth image in order to compute a predicted image, wherein the predicted image is then magnified to an increased bit depth image. A residual image is then computed from the original image and the increased bit depth image, and the residual image is transformed into a frequency signal. Quantized coefficients determined through the contrast analysis are then applied to the frequency signal to produce a reduced frequency signal. The encoder then inserts high-frequency components into the reduced frequency signal before encoding a compressed image from the reduced frequency image and the predicted image.