Abstract: A method of video coding, an apparatus, and a non-transitory computer-readable storage medium thereof are provided. The method includes obtaining one or more affine candidates from a plurality of non-adjacent neighbor blocks that are non-adjacent to a current block. The method may further include obtaining one or more control point motion vectors (CPMVs) for the current block based on the one or more affine candidates.

Abstract: Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for video coding. In one method, a decoder derives a reference picture for a current coding block; the decoder derives a predictor sample based on a motion vector associated with the reference picture using a motion compensation process from the reference picture; the decoder determines whether the predictor sample is located outside the reference picture by a certain margin; and the decoder determines the predictor sample is out-of-boundary (OOB) in response to determining the predictor sample is located outside the reference picture by a certain margin.

Abstract: Implementations of the disclosure provide a video decoding apparatus and method for transform coefficient sign prediction on a video decoder side. The method includes: receiving a bitstream including a sequence of sign signaling bits; determining a sign prediction area in a transform block of a video frame from a video for performing the sign prediction for the transform coefficients of the transform block; generating a plurality of candidate hypotheses for a set of candidate transform coefficients associated with the sign prediction area of the transform block; selecting a hypothesis from the plurality of candidate hypotheses as a set of predicted signs for the set of candidate transform coefficients based on a cost function; and estimating original signs for the set of candidate transform coefficients based on the set of predicted signs and the sequence of sign signaling bits.

Abstract: Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for video coding. In one method, a decoder derives a first reference picture and a second reference picture for a current coding block; the decoder derives a first predictor sample based on a first motion vector associated with the first reference picture using a motion compensation process from the first reference picture; the decoder derives a second predictor sample based on a second motion vector associated with the second reference picture using the motion compensation process from the second reference picture; and the decoder obtains a final predictor sample in the current coding block based on at least one of the first predictor sample or the second predictor sample and an out-of-boundary (OOB) condition.

Abstract: Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for video coding and compression with high precision intra prediction technology. In one method, a decoder obtains a first control flag signaled at a specified level that comprises one of following levels: a Transform Block (TB) level, a Coding Block (CB) level, a slice level, a picture level, or a sequence level, where the first control flag indicates whether a Decoder-side High Precision Intra Mode Derivation (DHI) mode is enabled.

Abstract: Provided in the present invention are a carboxamide derivative having an RSK inhibitory effect, a pharmaceutical composition comprising same, and the use thereof. Specifically, provided in the present invention are a carboxamide derivative as represented by formula (I), which can be used as a p90 ribosomal S6 kinase (RSK) inhibitor, a tautomer, a stereoisomer, a hydrate, a solvate and a pharmaceutically acceptable salt thereof, a pharmaceutical composition comprising the compound, and the use thereof in the preparation of a pharmaceutical composition.

Abstract: Methods and apparatus are provided for video decoding/encoding. In a method provided, a decoder may obtain an original sample value of a current block; determine a slope adjustment for a model parameter in a compensation model; and determine, based on the slope adjustment, an updated model parameter in the compensation model. The decoder may further determine based on the updated model parameter and the original sample value, a refined sample value or a second sample value of the current block.

Abstract: Methods for video decoding and encoding, apparatuses, and non-transitory computer-readable storage media are provided. In one method, a decoder may obtain a first block vector (BV) and a second BV based on a bi-predicted intra block copy (IBC) mode. Additionally, the decoder may generate a first prediction block based on the first BV and generating, by the decoder, a second prediction block based on the second BV. Furthermore, the decoder may obtain a final prediction block for a current block based on the first prediction block and the second prediction block.

Abstract: Methods for video decoding and encoding, apparatuses and non-transitory storage media are provided. In one decoding method, the decoder determines that an advanced motion vector prediction (AMVP)-Merge (AM) mode is enabled for a current picture or a slice of the current picture. Furthermore, the decoder obtains an AMVP motion vector (MV) of a current block in the current picture, for a first list of reference pictures LX where X is 0 or 1, as an LX MV. Moreover, the decoder obtains a list of valid merge MV candidates for a second list of reference pictures L(1?X), where the list of valid merge MV candidates comprises merge candidates that have L(1?X) MV. Further, the decoder selects an L(1?X) MV of the AM mode among the list of valid merge MV candidates.

Abstract: A method for Cross-Component Sample Adaptive Offset (CCSAO) process is provided. The method comprises: determining a first rate-distortion (RD) cost for a block using a first classifier, wherein the first classifier having a first category number in a first value range, and wherein the first RD cost is the least among RD costs associated with classifiers having a category number in the first value range; determining a second RD cost for the block using a second classifier, wherein the second classifier having a second category number in a second value range, and wherein the second RD cost is the least among RD costs associated with classifiers having a category number in the second value range; and applying the first classifier as a classifier for the CCSAO process in response to determining the first RD cost is less than the second RD cost.

Abstract: Methods for video decoding and encoding, apparatuses and non-transitory storage media are provided. The method for video decoding includes: obtaining, by a decoder, a plurality of first motion vectors of a plurality of sub-blocks of a current block, based on a subblock-based temporal motion vector prediction (SbTMVP) mode; deriving, by the decoder, a set of linear model parameters by inputting the plurality of first motion vectors and a plurality of center positions of the plurality of sub-blocks into a linear regression process; and obtaining, by the decoder, a plurality of predictions of the plurality of sub-blocks based on the set of linear model parameters.

Abstract: Implementations of the disclosure provide a video processing method for motion information derivation. The video processing method may include determining, by a video decoder, that one or more motion related parameters for a video block in a video frame of a video are not signaled in a bitstream. The video processing method may further include determining, by the video decoder, the one or more motion related parameters for the video block by applying a coding matching technique.

Abstract: Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for video decoding. In one method, a decoder determines a fusion scheme applied in decoder-side intra mode derivation (DIMD) mode and in template-based intra mode derivation (TIMD) mode, and the fusion scheme is applied as a weighted average of predictors in the DIMD mode and in the TIMD mode.

Abstract: A method for decoding video data. The method including obtaining, from a bitstream, a video block and region information, wherein the region information comprises an index indicating a region selected from a set of regions located external to the video block for deriving a multiple linear regression (MLR) model, obtaining luma and chroma sample values in the region based on the region information; deriving the MLR model using the luma and chroma sample values in the region, predicting each of the chroma sample values in the video block by applying the MLR model to corresponding luma sample values for that chroma sample, and obtaining decoded video block using the predicted chroma sample values.

Abstract: A method for video decoding including determining a decoded video block predicted with Extrapolation Filter-based intra Prediction (EIP) mode; obtaining a stored filter shape and stored filter coefficients corresponding to an extrapolation filter of the decoded video block, and predicting the sample values of the current block with EIP mode based on the stored filter shape and the stored filter coefficients.

Abstract: A computer system acquires a video bitstream. The video bitstream includes data associated with multiple encoded pictures. Each encoded picture includes one or more coding units (CUs). While decoding a current CU of a picture in the video bitstream, the current CU having a plurality of reference subblocks located in one or more reference pictures, in accordance with a determination that the plurality of reference subblocks satisfy a first set of predefined conditions for enabling a subblock-based temporal motion vector prediction (SbTMVP) mode, the computer system retrieves, from the video bitstream, syntax elements associated with the SbTMVP mode. The computer system then decodes the current CU using the retrieved syntax elements associated with the SbTMVP mode.

Abstract: A method for video decoding includes: obtaining a first control flag signaled at a specified level that includes one of following levels: a Transform Block (TB) level, a Coding Block (CB) level, a slice level, a picture level, or a sequence level, wherein the first control flag indicates whether a Decoder-side High Precision Intra Mode Derivation (DHI) mode is enabled, and in response to determining that the DHI mode is enabled, deriving, using a predefined method, high precision intra mode under a predefined condition, where the predefined condition includes one of following conditions: specific modes, or specific block sizes, or the DHI mode is used at the specified level.

Abstract: Implementations of the disclosure provide a video coding method and apparatus thereof. A decoding method includes: selecting, by a decoder, templates of neighboring samples for a video block; applying, by the decoder, a gradient filter window to the templates to calculate gradients for the respective templates; determining, by the decoder, a histogram of gradient based on the calculated gradients; selecting, by the decoder, a dominant gradient direction based on the histogram of gradient; and determining, by the decoder, an extrapolation direction for extrapolating neighboring samples of the video block based on the dominant gradient direction.

Abstract: Methods for video decoding and encoding, apparatuses and non-transitory storage media are provided. In one decoding method, the decoder obtains a geometric partition mode (GPM) blending area index at a certain level associated with a picture, where the GPM blending area index indicates a blending area width from a set of blending area widths. The decoder obtains one or more weighting values that are used to blend prediction samples of a GPM mode based on the blending area width indicated by the GPM blending area index. Furthermore, the decoder obtains a GPM predictor based on the one or more weighting values.

Abstract: The present disclosure provides a method for video decoding, comprising: obtaining a candidate list comprising block candidates, wherein the block candidates are reconstructed blocks in a same frame as a current block to be predicted; receiving an index indicating one of the block candidates as the selected block candidate; and predicting the sample values of the current block with filtered intra block copy (FIBC) mode in response to determining that the selected block candidate has been predicted with FIBC mode.