Abstract: Methods and apparatus for performing in-loop filtering in an encoder or a decoder provide regions which use a common set of filter parameters An index can be sent from an encoder to a decoder indicating which set of filter parameters is to be used for a particular region. The in-loop filter can be Sample Adaptive Offset, Adaptive Loop Filter, or any other such filter. An encoder classifies regions of a picture according to blocks using a common set of filter parameter. The classification can be in the form of a map. Filtering blocks use the common set of filter parameters for a region. A decoder parses a bitstream for a set of filter parameters and an index indicative of the filter parameter set for a region being decoded.

Abstract: The present disclosure relates to methods, apparatus or systems for encoding and decoding sequence of images by applying a global rotation motion compensation to an input image. According to different embodiments, the input image is a reference image in a compression loop or the image to be encoded. The images to encode are omnidirectional images. As a result, applying a global rotation motion compensation to them corresponds to generate new images as if they have been captured according to a different front direction. When this new front direction is the one of a reference image, the compensation of apparent motion is facilitated.

Abstract: A decoding method for decoding blocks of a picture part is disclosed that comprises: —decoding a plurality of candidate sets of filter parameters from a bitstream; —decoding for a current block of said picture an index identifying one of the accessing a bitstream candidate sets of filter parameters from said bitstream; —decoding said current block from said bitstream; and —filtering said decoded current block with the candidate set of filter parameters of filter parameters from a bitstream identified by said decoded index decoding for a current block an index.

Abstract: Implementations for video encoding and decoding based on a linear model responsive to neighboring samples are described. Accordingly, for a block being encoded or decoded in a picture, at least one spatial neighboring template is determined and at least one linear model parameter is determined based on reconstructed samples of the at least one spatial neighboring template. In a first embodiment, the number N of reconstructed samples corresponds to N=2k with k chosen so that n is the maxim integer smaller than sum of the block width and block height. In a second embodiment, an offset for the relative position of a first sample in the template among samples of a left, respectively top, neighboring line of the block is determined. In a third embodiment, the number of reconstructed samples is set to a higher number in the larger dimension of the block.

Abstract: A method for video decoding is disclosed. A directional intra prediction mode is decoded for a block of a picture, the directional intra prediction mode having a direction. Based on the directional intra prediction mode, a first predictor and a second predictor for a sample in the current block are accessed, the first and second predictors being on a line at least approximating the direction. A sample value of the sample is predicted by interpolation using the first and second predictors, responsive to a difference between the second and first predictors, wherein the difference is scaled by at least a ratio that is based on a location of the sample in the block, and wherein a denominator of the ratio is a power of two regardless of the location of the sample. The sample of the block is reconstructed based on the predicted sample value.

Abstract: A method and an apparatus for decoding at least one part of at least one image is disclosed. The method comprises decoding at least one update parameter and modifying a deep neural network-based decoder based on said decoded update parameter. The method further comprises decoding at least one part of at least one image using at least said modified decoder.

Abstract: Methods and apparatus for performing in-loop filtering in an encoder or a decoder provide regions which use a common set of filter parameters An index can be sent from an encoder to a decoder indicating which set of filter parameters is to be used for a particular region. The in-loop filter can be Sample Adaptive Offset, Adaptive Loop Filter, or any other such filter. An encoder classifies regions of a picture according to blocks using a common set of filter parameter. The classification can be in the form of a map. Filtering blocks use the common set of filter parameters for a region. A decoder parses a bitstream for a set of filter parameters and an index indicative of the filter parameter set for a region being decoded.

Abstract: The disclosure relates to a method comprising quantizing parameters of an input tensor, said quantizing using a codebook whose size is obtained according to a distortion value determined between the at least one tensor and a quantized version of said at least one tensor. The disclosure also relates to a method for quantizing parameters of the input tensor using a pdf-based initialization bounded according to at least one first pdf factor, said first pdf factor being selected among several candidate bounding pdf factors according to resulting entropy. The disclosure also relates to corresponding signal; bitstream, storage media and encoder and/or decoder devices.

Abstract: At least a method and an apparatus are presented for efficiently encoding or decoding video. For example, an intra prediction of an image block and side information are determined using at least one neural network from a context comprising pixels surrounding the image block. The side information allows a decoder to determine the intra prediction and is signaled for the decoding.

Abstract: The disclosure relates to a method comprising, responsive to a determination that at least one first tensor of at least one layer of at least one Deep Neural Network is decomposed into a second tensor and a third tensor whose parameters are encoded in a bitstream, decoding from the bitstream a size of at least one of the second tensor and the third tensor, and decoding the at least one of the second tensor and the third tensor from the bitstream based on the decoded size. Corresponding apparatus, encoding method, signal; bitstream, storage media and encoder and/or decoder devices are also provided.

Abstract: Different implementations are described, particularly implementations for video encoding and decoding based on a linear model responsive to neighboring samples are presented. Accordingly, for a block being encoded or decoded in a picture, at least one spatial neighboring template is determined and at least one linear model parameter is determined based on reconstructed samples of the at least one spatial neighboring template. In a first embodiment, the number N of reconstructed samples corresponds to N=2k with k chosen so that n is the maxim integer smaller than sum of the block width and block height. In a second embodiment, the an offset for the relative position of a first sample in the template among samples of a left, respectively top, neighboring line of the block is determined. In a third embodiment, the number of reconstructed samples is set to a higher number in the larger dimension of the block.

Abstract: Different implementations are described for determining one or more illumination compensation parameters for a current block being encoded by a video encoder or decoded by a video decoder, based on the selection of one or more neighboring samples. The selection of the one or more neighboring samples is based on information used to reconstruct a plurality of neighboring reconstructed blocks. The selection may be based on the motion information, such as motion vector and reference picture information. In one example, only samples from neighboring reconstructed blocks that have (1) the same reference picture index and/or (2) a motion vector close to the motion vector of the current block is selected. In another example, if the current block derives or inherits some motion information from a top or left neighboring block, then only the top or left neighboring samples are selected for IC parameter calculation.

Abstract: A method for video decoding is disclosed. A directional intra prediction mode is decoded for a block of a picture, the directional intra prediction mode having a direction. Based on the directional intra prediction mode, a first predictor and a second predictor for a sample in the current block are accessed, the first and second predictors being on a line at least approximating the direction. A sample value of the sample is predicted by interpolation using the first and second predictors, responsive to a difference between the second and first predictors, wherein the difference is scaled by at least a ratio that is based on a location of the sample in the block, and wherein a denominator of the ratio is a power of two regardless of the location of the sample. The sample of the block is reconstructed based on the predicted sample value.

Abstract: At least a method and an apparatus are provided for efficiently encoding or decoding video. For example, a most probable mode (MPM) list comprising a number of intra prediction mode candidates for a current block is obtained depending on a shape of the current block. The current block is then encoded or decoded based on the obtained most probable mode list.

Abstract: Apparatus and methods for encoding and decoding video data having improved quantization parameter prediction are presented and can include using a combination of quantization parameter prediction values obtained from respective ones of a plurality of quantization parameter prediction methods to encode or decode the video data.

Abstract: Video signal coding and decoding functions can generate lists of potential candidates to use in coding and decoding, for example, predictors. Video signal coding component candidate undergo operations before potential inclusion in candidate lists. The candidates are checked after being modified by the operations to see if other equal candidates are already in the candidate list. If equal candidates are not in the list, the modified candidates are added to the candidate list. If equal candidates are already in the list, the modified candidates are not added to the list. Operations that can be performed comprise rounding and clipping.

Abstract: The disclosure relates to a method for compression including codebook-based quantization of a data set and corresponding decompression method, signal; bitstream, and encoder and/or decoder device.

Abstract: The disclosure relates, according to a first aspect, to a method for compressing data including encoding at least one information representative of a use, during the compression, of a compressed sparse format. The disclosure relates, according to a second aspect, to a method for decompressing input data comprising obtaining information representative of zero or non-zero values in at least a part of the input data, and using only the non-zero values of the zero or non-zero values for a further processing of the part of the input data, based on the representative information. Corresponding devices, system, non-transitory program product, computer storage medium and signal are also disclosed.

Abstract: Apparatus and methods for encoding and decoding video data having improved quantization parameter prediction are presented and can include using a combination of quantization parameter prediction values obtained from respective ones of a plurality of quantization parameter prediction methods to encode or decode the video data.

Abstract: Video signal coding and decoding functions can generate lists of potential candidates to use in coding and decoding, for example, predictors. Video signal coding component candidate undergo operations before potential inclusion in candidate lists. The candidates are checked after being modified by the operations to see if other equal candidates are already in the candidate list. If equal candidates are not in the list, the modified candidates are added to the candidate list. If equal candidates are already in the list, the modified candidates are not added to the list. Operations that can be performed comprise rounding and clipping.