Abstract: Aspects of the disclosure provide method and apparatus for video coding. In some examples, an apparatus includes receiving circuitry and processing circuitry. The processing circuitry decodes, from a coded video bitstream, a syntax element for an adjusted version of an initial quantization parameter (QP) value at a picture level for a picture. The adjusted version is in a range with an upper boundary that is changed with a maximum QP value. Then, the processing circuitry determines the initial QP value of a segment (such as a slice, a tile, a group of tiles and the like) in the picture based on the syntax element and determines a QP value for a block in the segment according to the initial QP value of the segment and adjustments associated with the block. Then, the processing circuitry performs an inverse quantization on quantized data of the block according to the determined QP value.

Abstract: The present disclosure relates to systems and methods for coding. The methods may include receiving at least two contexts, for each of the at least two contexts, obtaining at least one coding parameter corresponding to the context from at least one lookup table, determining a probability interval value corresponding to the context based on a previous probability interval value and the at least one coding parameter, determining a normalized probability interval value corresponding to the context by performing a normalization operation on the probability interval value, determining a probability interval lower limit corresponding to the context based on a previous probability interval lower limit and the at least one coding parameter, determining a normalized probability interval lower limit corresponding to the context by performing the normalization operation on the probability interval lower limit, and outputting at least one byte based on the normalized probability interval lower limit.

Abstract: The present disclosure provides a method of reconstructing a video signal based on a reduced secondary transform, which includes: obtaining a secondary transform index from the video signal; deriving a secondary transform corresponding to the secondary transform index, wherein the secondary transform represents a reduced secondary transform, and the reduced secondary transform represents a transform outputting L (L<N) transform coefficient data (L×1 transform coefficient vectors) based on inputted N residual data (N×1 residual vectors); obtaining a transform coefficient block by performing an entropy decoding and a dequantization for a current block (N×N); performing an inverse secondary transform for the transform coefficient block using the reduced secondary transform; performing an inverse primary transform for a block which the inverse secondary transform is applied to; and reconstructing the current block using a block which the inverse primary transform is applied to.

Abstract: Classifying video for encoding optimization may include computing a content complexity score of a video, the content complexity score indicating a measure of how detailed the video is in terms of spatial and temporal information, categorizing the video into one of a plurality of buckets according to the content complexity score, each bucket representing a category of video content having a different range of content complexity scores and being associated with a ladder specific to the range, and encoding the video according to the ladder of the one of the plurality of buckets into which the video is categorized.

Abstract: A decoding unit decodes data corresponding to an N×M array of quantized coefficients from a bit stream. An inverse quantization unit derives orthogonal transform coefficients from the N×M array of quantized coefficients by using at least a quantization matrix. An inverse orthogonal transform unit performs inverse orthogonal transform on the orthogonal transform coefficients generated by the inverse quantization unit to generate prediction residuals corresponding to a block of a P×Q array of pixels. An inverse quantization unit derives the orthogonal transform coefficients by using at least a quantization matrix of an N×M array of elements, and the inverse orthogonal transform unit generates prediction residuals for the P×Q array of pixels having a size larger than the N×M array.

Abstract: A method for compensating for transistor aging in a display device is presented. The method entails dividing pixels into a plurality of groups including a first group, the first group including Z pixels wherein Z>1, sampling a pixel current for each pixel in a subset of pixels in the first group, the subset including M pixels wherein 1?M?Z, determining an ErrorM using the sampled pixel current for the M pixels and a predefined reference current, and adjusting an input voltage for a transistor in more than one of the Z pixels based on the ErrorM. The adjusting of the input voltage may include generating a modified voltage Vd, wherein Vd=A*Vin+B, and each of A and B is determined using ?M sign(Errorm).

Abstract: A method for decoding a video according to the present invention may comprise: deriving a spatial merge candidate for a current block, generating a merge candidate list for the current block based on the spatial merge candidate, obtaining motion information for the current block based on the merge candidate list, and performing motion compensation for the current block based on the motion information. Herein, if the current block does not have a pre-defined shape or a size equal to or greater than a pre-defined size, the spatial merge candidate of the current block may be derived based on a block which have the pre-defined shape or a size equal to or greater than the pre-defined size, the block including the current block.

Abstract: An image decoding apparatus comprises a decoder which decodes data indicating a plurality of values corresponding to a part of a quantization matrix; a generator which derives the plurality of values from the data and generates the matrix; and an inverse quantizing unit which performs the inverse quantizing on an object block using the matrix, wherein, if width or height of the matrix is larger than or equal to a predetermined size, the generating unit generates the matrix by associating a first value among the plurality of values with a first element corresponding to DC component in the matrix, associating a second value with a second element adjacent to the first element, and, for the elements other than the first and second elements, associating each of one or more values with a plurality of elements of the matrix.

Abstract: In the present disclosure, a method for compressing a feature map is provided, where the feature map is generated by passing a first input through a deep neural network (DNN). A respective optimal index order and a respective optimal unifying method are determined for each of super-blocks that are partitioned from the feature map. A selective structured unification (SSU) layer is subsequently determined based on the respective optimal index order and the respective optimal unifying method for each of the super-blocks. The SSU layer is added to the DNN to form an updated DNN, and is configured to perform unification operations on the feature map. Further, a first estimated output is determined, where the first estimated output is generated by passing the first input through the updated DNN.

Abstract: According to an embodiment, a method of selecting a Rice parameter for encoding a video bitstream using at least one processor includes obtaining an absolute level corresponding to a current transform block; determining whether transform skip is enabled; generating a lookup variable based on the absolute level and the determination of whether the transform skip is enabled; obtaining the Rice parameter from a lookup table based on the lookup variable; and encoding a residual subblock based on the Rice parameter.

Abstract: A method for estimating blockiness in a video frame of transform-based video encoding includes: obtaining a bitstream of a transform coded video signal, the signal being partitioned into video frames and all operations being performed on a per frame basis, wherein coefficients constituting transforms encoded in the bitstream of the video frames are read; averaging the coefficients of the transforms encoded in the bitstream into one averaged transform matrix per transform block size i; generating or making available one weighting matrix per averaged transform of block size i; computing intermediate weighted average transform matrices; processing all members of each weighted and averaged transform matrix into a single value per transform of block size i, to obtain intermediate signals; and computing a single value by weighting values of the intermediate signals according to an area in the respective video frame and adding up the weighted values of the intermediate signals.

Abstract: There is provided an information processing apparatus, an image processing apparatus, an encoding device, a decoding device, an information processing method, and a program that facilitate scalable decoding of attribute information. Regarding the attribute information about a point cloud representing a three-dimensional object, a process of classifying the respective points of the point cloud into prediction points that are the points at which difference values between the attribute information and predicted values are left, and reference points that are the points at which the attribute information is referred to during derivation of the predicted values is recursively repeated on the reference points, so that the attribute information is hierarchized.

Abstract: A method for lossy video encoding, transmission and decoding, the method comprising the steps of: receiving an input video at a first computer system; encoding an input frame of the input video to produce a latent representation; producing a quantized latent; producing a hyper-latent representation; producing a quantized hyper-latent; entropy encoding the quantized latent; transmitting the entropy encoded quantized latent and the quantized hyper-latent to a second computer system; decoding the quantized hyper-latent to produce a set of context variables, wherein the set of context variables comprise a temporal context variable; entropy decoding the entropy encoded quantized latent using the set of context variables to obtain an output quantized latent; and decoding the output quantized latent to produce an output frame, wherein the output frame is an approximation of the input frame.

Abstract: The present invention relates to an image encoding method and an image decoding method. The image decoding method includes partitioning a picture into a plurality of coding units, constructing a coding unit group including at least one coding unit of the plurality of coding units, obtaining coding information in units of one coding unit group, and decoding at least one coding unit of the plurality of coding units included in the coding unit group by using the obtained coding information.

Abstract: Methods and apparatuses for video processing. In one aspect, filtering is applied after applying a set of offset values to one or more coefficients. The application of an offset value may be based on a determination as to whether the coefficient meets a threshold value.

Abstract: An image decoding method includes: dividing a current block into sub-blocks; deriving, for each sub-block, one or more prediction information candidates; obtaining an index; and decoding the current block using the prediction information candidate selected by the index.

Abstract: Devices, systems and methods for digital video process are described. An exemplary method for video processing includes performing a conversion between a current video block of a video and a coded representation of the video, wherein the performing of the conversion includes determining, based on a width (W) and/or a height (H) of the current video block, an applicability of a secondary transform tool to the current video block, and wherein the secondary transform tool includes applying, during encoding, a forward secondary transform to an output of a forward primary transform applied to a residual of a video block prior to quantization, or applying, during decoding, an inverse secondary transform to an output of dequantization of the video block before applying an inverse primary transform.

Abstract: A physical adapter receives a data stream comprising data usable to derive a rendition of a signal at a first level of quality and reconstruction data produced by processing a rendition of the signal at a second, higher level of quality and indicating how to reconstruct the rendition at the second level of quality using the rendition at the first level of quality. The physical adapter reconstructs the rendition at the second level of quality and outputs the reconstructed rendition and/or data derived from the reconstructed rendition. The physical adapter is connectable to signal processing equipment that outputs the data usable to derive the rendition at the first level of quality. The physical adapter increases the quality of the rendition of the signal relative to the first level of quality and enhances the functionality of the signal processing equipment.

Abstract: Classifying video for encoding optimization may include computing a content complexity score of a video, the content complexity score indicating a measure of how detailed the video is in terms of spatial and temporal information, categorizing the video into one of a plurality of buckets according to the content complexity score, each bucket representing a category of video content having a different range of content complexity scores and being associated with a ladder specific to the range, and encoding the video according to the ladder of the one of the plurality of buckets into which the video is categorized.

Abstract: End-to-end neural image compression using deep reinforcement learning (DRL) is performed by at least one processor and includes encoding an input, generating encoded representations of the input, generating a set of quantization keys using a first neural network, based on a set of previous quantization states, wherein each quantization key in the set of quantization keys and each previous quantization state in the set of previous quantization states correspond to the encoded representations of the input, generating a set of dequantized numbers representing dequantized representations of the encoded representations of the input, based on the set of quantization keys, using a second neural network, and generating a reconstructed output, based on the set of dequantized numbers.

Abstract: A method for colour component prediction, an encoder, a decoder and a storage medium are provided. The method includes that: prediction parameters of a current block are determined, the prediction parameters including a prediction mode parameter and a size parameter of the current block; when the prediction mode parameter indicates that a Matrix-based Intra Prediction (MIP) mode is adopted to determine an intra prediction value of the current block, an MIP weight matrix of the current block, a shift factor of the current block and an MIP input sample matrix of the current block are determined; and the intra prediction value of the current block is determined according to the MIP weight matrix, the shift factor and the MIP input sample matrix.

Abstract: A video coding system uses a value of a chroma quantization parameter table to quantize or de-quantize chroma values of a block of the video, the chroma quantization parameter table being directly coded in a set of parameters at the picture level or at the sequence level of the coded video stream. A corresponding encoding method, encoding device, decoding method, decoding device, and non-transitory readable medium are proposed.

Abstract: A video processing method is provided, including: performing a conversion between a coded representation of a video including one or more video regions and the video, wherein the coded representation includes reshaping model information applicable for in-loop reshaping (ILR) of some of the one or more video regions, wherein the reshaping model information provides information for a reconstruction of a video unit of a video region based on a representation in a first domain and a second domain and/or scaling chroma residue of a chroma video unit, wherein the reshaping model information includes a parameter set that includes a first syntax element that derives a number of bits used to represent a second syntax element specifying an absolute delta codeword value from a corresponding bin, and wherein the first syntax element has a value smaller than a threshold.

Abstract: A two-pass encoding operation is implemented to encode one or more gaming frames into a game stream. The two-pass encoding operation includes a first encoding pass performed on a current frame. As a result of the first encoding pass, an estimated complexity for the current frame is determined. The resulting estimated complexity is then modulated according to a quality difference between reference frames used during the first pass encoding and a subsequent second pass encoding. Based on the modulated complexity, a quantization parameter is determined for the current frame that is then used to perform a second pass encoding on the current frame, resulting in an encoded frame. This encoded frame is then transmitted as part of a stream to a client system.

Abstract: The present disclosure provides a method for decoding a video signal, the method comprising the steps of: decoding, from a bitstream, a syntax element indicating the last non-zero region, wherein the last non-zero region represents a region including the last non-zero transform coefficient in a scan order; splitting a current block into multiple sub-regions; and based on the syntax element, determining the last non-zero region of the current block among the split sub-regions.

Abstract: A coding method and a decoding method for decoding a coded data stream representative of at least one image that is split into blocks. For at least one current block of the image, an item of information indicating a coding mode of the current block is decoded from the data stream. When the coding mode of the current block corresponds to a first coding mode, the current block is decoded using a first determined quantization step to dequantize, in the transform domain, a prediction residue associated with the current block. When the coding mode of the current block corresponds to a second coding mode, the current block is decoded using a second determined quantization step to dequantize, in the spatial domain, a prediction residue associated with the current block. The first quantization step and the second quantization step are determined according to the same quantization parameter.

Abstract: The bit rate for encoding a signal is controlled. The signal is encoded using at least two distinct encoding algorithms. An overall bit rate is allocated to at least two components of the signal. A first component of the signal is to be encoded using a first encoding algorithm. A second component of the signal is to be encoded using a second encoding algorithm.

Abstract: Techniques and systems for reconstructing a video signal, which include: obtaining a transform coefficient block by performing an entropy decoding and a dequantization for a current block; deriving a secondary transform corresponding to a specific area in the transform coefficient block, wherein the specific area represents an area including a top-left block of the transform coefficient block; performing an inverse secondary transform for each of subblocks within the specific area using the secondary transform; performing an inverse primary transform for a block which the inverse secondary transform is applied to; and reconstructing the current block using a block which the primary inverse transform is applied to.

Abstract: A three-dimensional data encoding method uses a first encoding scheme and a second encoding scheme different from the first encoding scheme, and includes: (i) transforming a first quantization parameter to a first scale value or (ii) transforming the first scale value to the first quantization parameter, based on a first table indicating a correspondence between values of the first quantization parameter and values of the first scale value and being shared between the first encoding scheme and the second encoding scheme; performing encoding including a first quantization process to generate encoded attribute information, the first quantization process being a process of dividing, by the first scale value, each of first coefficient values based on items of attribute information of three-dimensional points included in point cloud data; and generating a bitstream including the encoded attribute information and the first quantization parameter.

Abstract: An encoding device encodes each encoding-target block.

Abstract: The present disclosure relates to a method of encoding a three-dimensional image including a point cloud. According to an embodiment of the present disclosure, a method of encoding a three-dimensional image may include determining a spatial area in a three-dimensional space represented by the point cloud, projecting, onto a two-dimensional plane, a plurality of points included in the point cloud to generate a plurality of patches, determining at least one patch corresponding to the determined spatial area, down-sampling at least one patch according to a predefined rule, generating a two-dimensional image by packing the at least one down-sampled patch and the plurality of patches corresponding to areas other than the determined spatial area, and generating and outputting a bitstream including data in which the two-dimensional image is compressed and information related to the down-sampling performed to generate the two-dimensional image.

Abstract: Devices and methods of directional intra prediction for chroma component of a picture are provided. The method includes obtaining an initial intra prediction mode of the chroma component, and deriving a chroma intra prediction mode (intraPredModeC) from a look up table (LUT) by using the initial intra prediction mode of the chroma component. The chroma component has different subsampling ratios in horizontal and vertical directions. The method further includes performing wide-angle mapping on the chroma intra prediction mode (intraPredModeC) to obtain a modified intraPredModeC; obtaining an angle parameter for the chroma component based on the modified intraPredModeC; and obtaining predicted samples of the chroma component based on the angle parameter. The method provides the minimum number of entries in the LUT that is used to determine chroma intra prediction mode from the initial chroma intra prediction mode.

Abstract: An embodiment includes a method and an encoder for SSIM-based bits allocation. The encoder includes a memory and a processor utilized for allocating bits based on SSIM, wherein the processor estimates the model parameter of SSIM-based distortion model for the current picture and determines allocates bits based on the SSIM estimation.

Abstract: A coding method and a decoding method for decoding a coded data stream representative of at least one image that is split into blocks. For at least one current block of the image, an item of information indicating a coding mode of the current block is decoded from the data stream. When the coding mode of the current block corresponds to a first coding mode, the current block is decoded using a first determined quantization step to dequantize, in the transform domain, a prediction residue associated with the current block. When the coding mode of the current block corresponds to a second coding mode, the current block is decoded using a second determined quantization step to dequantize, in the spatial domain, a prediction residue associated with the current block. The first quantization step and the second quantization step are determined according to the same quantization parameter.

Abstract: Aspects of the disclosure provide methods and apparatuses for video encoding/decoding. In some examples, an apparatus for video decoding includes processing circuitry. The processing circuitry receives coded information of a current coding tree unit (CTU) from a coded video bitstream, and determines a context model for a split flag associated with a current block within the current CTU at least partially based on split information of a corresponding block in a reference CTU for the current CTU. Then, the processing circuitry determines the split flag based on the context model, and decodes the current block based on the split flag that is determined based on the context model.

Abstract: A method and apparatus for sample adaptive offset without sign coding. The method includes selecting an edge offset type for at least a portion of an image, classifying at least one pixel of at least the portion of the image into edge shape category, calculating an offset of the pixel, determining the offset is larger or smaller than a predetermined threshold, changing a sign of the offset based on the threshold determination; and performing entropy coding accounting for the sign of the offset and the value of the offset.

Abstract: The present disclosure provides embodiments for coding and decoding signs of transform coefficients which is applicable, for instance, in image and/or video coding and decoding. In particular, a plurality of the signs are predicted and only a prediction error signal is embedded in the bitstream. The prediction error signal may have a distribution which can be efficiently coded with CABAC or another variable length (entropy) coding. Moreover, if adaptive multi-core transform is used, the context for the entropy code to code a transform coefficient sign is selected according to the transformation which was used to obtain the transform coefficient.

Abstract: Decoder retrieval timing information, ROI information and tile identification information are conveyed within a video data stream at a level which allows for an easy access by network entities such as MANEs or decoder. In order to reach such a level, information of such types are conveyed within a video data stream by way of packets interspersed into packets of access units of a video data stream. In accordance with an embodiment, the interspersed packets are of a removable packet type, i.e. the removal of these interspersed packets maintains the decoder's ability to completely recover the video content conveyed via the video data stream.

Abstract: Image data from an image sensor is input into a predictive model to identify perimeter edges of a set of cuboidal items held on a pallet. Depth data from a depth sensor is used to identify a top surface of a first cuboidal item of the set of cuboidal items. Coordinates associated with corners of the first cuboidal item are identified using information about the perimeter edges and the top surface. The coordinates are used to generate instructions for a robotic manipulator to pick up the first cuboidal item.

Abstract: A method includes determining whether at least one of a height or width of a residual coding block, that corresponds to a data block of an image, is greater than or equal to a threshold; and based on determining that the at least one of the height or width of the residual coding block is greater than or equal to the threshold: obtaining a reduced-complexity residual coding block based on the residual coding block and performing transform coding of the reduced-complexity residual coding block using a line graph transform (LGT) core to perform direct matrix multiplications for each of the horizontal and vertical dimensions of the reduced-complexity residual coding block, wherein the performing includes determining an order of performing horizontal and vertical transforms to the reduced-complexity residual coding block when zero-out is enabled on LGT, depending on a ratio of width to height of the residual coding block.

Abstract: The present invention provides an image encoding apparatus for encoding a sequence of images, where the apparatus comprises a prediction unit which generates, for a target block to be encoded having a predetermined size in an image, a predicted image from both an intra-prediction image and an inter-prediction image, and obtains prediction errors that are differences between the target block and the predicted image; a transform unit which frequency-transforms the prediction errors, a quantization unit which quantize, using a quantization matrix, the transform coefficients, and an encoding unit which entropy-encodes quantized transform coefficients, wherein the quantization unit obtains the quantization matrix, using at least one of a predetermined quantization matrix for the intra-prediction and a predetermined quantization matrix for inter-prediction.

Abstract: Several techniques for video encoding and video decoding are described. One example method includes performing a conversion between a video and a bitstream of the video according to a rule. The rule specifies that a subpicture sequence includes (1) all subpictures within the target CVSs that have a same subpicture index and belong to layers in the multi-subpicture layers, and (2) all subpictures in the target CVSs that have a subpicture index of 0 and belong to layers of the OLSs but not in the multi-subpicture layers.

Abstract: Lossy or lossless compression and transmission, comprising the steps of: (i) receiving an input image; (ii) encoding it to produce a y latent representation; (iii) encoding the y latent representation to produce a z hyperlatent representation; (iv) quantizing the z hyperlatent representation to produce a quantized z hyperlatent representation; (v) entropy encoding the quantized z hyperlatent representation into a first bitstream, (vi) processing the quantized z hyperlatent representation to obtain a location entropy parameter ?y, an entropy scale parameter ?y, and a context matrix Ay of the y latent representation; (vii) processing the y latent representation, the location entropy parameter ?y and the context matrix Ay, to obtain quantized latent residuals; (viii) entropy encoding the quantized latent residuals into a second bitstream; and (ix) transmitting the bitstreams.

Abstract: An image decoding method according to the present document can comprise the steps of: on the basis of first flag information indicating whether or not matrix-based intra prediction (MIP) can be applied to a current block, receiving second flag information indicating whether or not the MIP is used for the current block; receiving matrix-based intra prediction (MIP) mode information on the basis of the second flag information; generating intra prediction samples for the current block on the basis of the MIP mode information; and generating reconstructed samples for the current block on the basis of the intra prediction samples.

Abstract: Techniques related to video coding include multiple channel video coding with cross-channel referencing.

Abstract: Methods and apparatus for video processing, including coding and decoding, are described. One example video processing method includes performing a conversion between a video having one or more video layers and a bitstream of the video according to a format rule, and wherein the format rule specifies that a value of a variable indicating whether to output a picture in an access unit is determined based on a flag indicating whether to output another picture in the access unit.

Abstract: The present invention relates to a method and apparatus for performing encoding and decoding using a variably-sized quantization coefficient group, in quantization coefficient group encoding and decoding of video compression technology.

Abstract: A method for deblocking at least one boundary of a coding unit. The method includes determining that the coding unit uses a sub-block transform, wherein the sub-block transform generates a transform sub-block boundary within the coding unit, thereby forming at least a transform sub-block within the coding unit; as a result of determining that the coding unit uses the sub-block transform, determining a maximum filter length based on a dimension of the transform sub-block within the coding unit, wherein the maximum filter length indicates a maximum number of samples to modify when deblocking a boundary of the coding unit; and deblocking the boundary of the coding unit based on the determined maximum filter length.

Abstract: A method of video processing includes determining a classification of samples of a block in a video picture of a video according to a rule, wherein the video picture is divided into multiple regions, and wherein the rule disallows use of neighboring samples of a current sample across one or more boundaries of the multiple regions for the classification. The one or more boundaries of the multiple regions includes a virtual boundary for an adaptive loop filtering (ALF) process. The method also includes performing a conversion between the block and a bitstream representation of the video by selectively applying the ALF process according to the classification.

Abstract: A moving picture coding apparatus 1 includes: a quantization matrix holding unit (112) that holds a quantization matrix (WM) which has already been transmitted in a parameter set and a matrix ID for identifying the quantization matrix (WM), which are associated with each other; and a variable length coding unit (111) that obtains the matrix ID corresponding to the quantization matrix (WM) used for quantization from the quantization matrix holding unit (112) and places the matrix ID in a coded stream Str.