Abstract: A method of decoding a video signal, apparatus, and a non-transitory computer-readable storage medium are provided. The method includes obtaining a video block from the video signal, obtaining spatial neighboring blocks based on the video block, obtaining up to one left non-scaled motion vector predictor (MVP) based on the multiple left spatial neighboring blocks, obtaining up to one above non-scaled MVP based on the multiple above spatial neighboring blocks, deriving an MVP candidate list based on the coding block, the multiple left spatial neighboring blocks, and the multiple above spatial neighboring blocks by performing no motion vector scaling in all scenarios for deriving motion vectors in deriving process for spatial MVP candidates, receiving an index indicating an MVP in the MVP candidate list, and obtaining a prediction signal of the coding block based on the MVP indicated by the index.

Abstract: Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for video coding with multi-direction intra prediction (MDIP). In one method, a decoder determines a blending parameter for the MDIP based a size of a coding unit. In another method, the decoder may determine a size of each coding block, and in response to determining that the size of the coding block is smaller than or equal to a first preset threshold, the decoder may determine that the MDIP mode is disabled for the coding block.

Abstract: Implementations of the disclosure provide video processing apparatuses and methods. The method receives, by a video processor, a video block of a video for in-loop filtering. The method then performs a wavelet-domain CNN filtering on video data of at least a part of the video block, by performing, by the video processor, a wavelet transform on the video data to obtain data in a wavelet domain comprising a plurality of wavelet subbands; filtering, by the video processor, the data in the wavelet domain by applying respective CNN models on the plurality of wavelet subbands, where the CNN models for the plurality of wavelet subbands are trained in the wavelet domain; and performing, by the video processor, an inverse wavelet transform on the filtered data to obtain reconstructed video data.

Abstract: A method of decoding video data, comprising: receiving, from bitstream, video data corresponding to a non-skip mode coded block; determining a parameter set associated with the non-skip mode coded block; if the parameter set satisfies a first condition, retrieving a first syntax element from the bitstream; if the parameter set satisfies a second condition, retrieving a second syntax element from the bitstream; if the parameter set satisfies a third condition, retrieving a third syntax element from the bitstream; decoding the video data corresponding to the non-skip mode coded block using palette mode when the first syntax element and the third syntax element have the first value; decoding the video data using intra prediction mode when the first syntax element has the first value and the third syntax element has a second value; and decoding the video data using inter prediction mode when the first syntax element has the second value.

Abstract: A method for video encoding is provided. The method includes: generating an inter prediction of a current coding block based on at least one motion vector from a current picture to at least one reference picture respectively; generating an intra prediction of the current coding block based on an intra prediction mode; generating a final prediction of the current coding block by weighted averaging the inter prediction and the intra prediction; determining the current coding block is treated as inter mode upon constructing a most probable mode (MPM) list of a neighboring coding block, or determining the current coding block is treated as intra mode upon constructing an MPM list of a neighboring coding block; and putting entropy-encoded information indicating that the current coding block is treated as inter mode or intra mode in a bitstream to be transmitted to a decoder.

Abstract: A method of decoding a syntax element for a current coding unit of video data is performed by an electronic apparatus. The electronic apparatus identifies, for the current coding unit, an above coding unit and a coding tree unit including the current coding unit. After determining that the above coding unit is within the coding tree unit, the electronic apparatus decodes, from a video bitstream, a corresponding syntax element for the current coding unit based, at least in part, on a syntax element associated with the above coding unit retrieved from a line buffer associated with the coding tree unit; otherwise, the electronic apparatus decodes, from the video bitstream, the corresponding syntax element for the current coding unit based, at least in part, on a default value assigned to the syntax element associated with the above coding unit.

Abstract: Implementations of the disclosure provide video processing systems and methods. The video processing method may include receiving, by one or more processors, a video frame of a video for in-loop filtering. For a target pixel of the video frame, the video processing method may further include selecting, by the one or more processors, a bilateral filtering window to perform the in-loop filtering on the target pixel from a group of candidate filtering windows. The group of candidate filtering windows include a plurality of side filtering windows and a full filtering window. The video processing method may also include filtering, by the one or more processors, the target pixel of the video frame using the selected bilateral filtering window.

Abstract: Methods and devices are provided for decoding a video block in GPM. The method includes: partitioning the video block into first and second geometric partitions; receiving a first GPM with a motion vector refinement (GPM-MVR) enable flag for the first geometric partition and receiving a second GPM-MVR enable flag for the second geometric partition; receiving a joint template matching (TM) enable flag for the first and second geometric partition that jointly indicates whether a uni-directional motion of the first partition is refined by TM and whether a uni-directional motion of the second partition is refined by the TM; receiving a first merge GPM index for the first geometric partition and a second merge GPM index for the second geometric partition; constructing a uni-directional MV candidate list of the GPM; and generating a uni-directional MV for the first geometric partition and a uni-directional MV for the second geometric partition.

Abstract: Methods and devices are provided for reducing the decoding latency introduced by LMCS. In one method, one or more luma prediction sample values are selected from an output of a bilinear filter of Decoder-side Motion Vector Derivation (DMVR), the one or more selected luma prediction sample values are adjusted into luma prediction sample values with the same bit depth as an original coding bit depth of an input video, the luma prediction sample values with the same bit depth as the original coding bit depth of the input video are used to derive a scaling factor for decoding one or more chroma residual samples, the scaling factor is used to scale one or more chroma residual samples, and one or more chroma residual samples are reconstructed by adding the one or more scaled chroma residual samples and their corresponding chroma prediction samples.

Abstract: The present disclosure relate to a bit-width control method of bi-directional optical flow (BDOF) for coding a video signal. The method includes obtaining a first reference picture I(0) and a second reference picture I(1) associated with a video block, obtaining first prediction samples I(0)(i,j) of the video block from a reference block in the first reference picture I(0), obtaining second prediction samples I(1)(i,j) of the video block from a reference block in the second reference picture I(1), controlling internal bit-widths of the BDOF by deriving internal bit-widths of intermediate parameters, obtaining motion refinements for samples in the video block based on the BDOF being applied to the video block based on the first prediction samples I(0)(i,j) and the second prediction samples I(1)(i,j), and obtaining bi-prediction samples of the video block based a the motion refinements.

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: Provided is a method for video decoding including: receiving a control variable enabling adaptive switch between motion vector refinement (MVR) offset sets; receiving an indication variable enabling adaptive switch between codeword tables that binarize offset magnitudes in the MVR offset sets under the coding level; partitioning the video block into a first and a second geometric partition; selecting an MVR offset set based on the control variable; receiving syntax elements to determine a first and second MVR offsets applied to the first and second geometric partitions from the selected MVR offset set; obtaining a first and second MVs from a candidate list for the first and the second geometric partition; calculating a first and second refined MVs based on the first and second MVs and the first and second MVR offsets; and obtaining prediction samples based on the first and second refined MVs.

Abstract: A method for video decoding is provided. The method includes: deriving, by a decoder, an initial motion vector (MV) of a current block; determining, by the decoder, a cost value for the initial MV; obtaining, by the decoder, an updated cost value by decreasing the cost value for the initial MV; and deriving, by the decoder, a refined MV based on the updated cost value.

Abstract: A method for video encoding is provided. The method includes: partitioning, by an encoder, a video frame into multiple blocks; deriving, by the encoder, an initial motion vector (MV) of a current block in the multiple blocks; determining, by the encoder, cost values for the initial MV and each of a plurality of MV candidates; obtaining, by the encoder, updated cost values by decreasing a cost value for the initial MV or increasing cost values for the MV candidates; and deriving, by the encoder a refined MV based on the updated cost values.

Abstract: A method for video coding is provided. The method includes: partitioning video pictures into a plurality of coding units (CUs), at least one of which is further portioned into two prediction units (PUs) including at least one triangular shaped PU with a partitioning orientation in one of: from top-left corner to bottom-right corner, and from top-right corner to bottom-left corner; constructing a uni-prediction motion vector candidate list; determining whether a current CU is coded as triangle prediction mode according to coded information; signaling a partition orientation flag indicating the partitioning orientation; and signaling index values that indicate selected entries in the constructed uni-prediction motion vector candidate list.

Abstract: A method and a computing device are provided for video coding. The method may include deriving parameter ? and parameter ? for a CCLM mode by using a predetermined number of neighboring reconstructed luma samples and chroma samples in a CU; and generating a final chroma predictor for the chroma samples of the CU by using the parameter ? and the parameter ?.

Abstract: Methods and devices are provided for reducing the decoding latency introduced by LMCS. In one method, one or more luma prediction sample values are selected from an output of a bilinear filter of Decoder-side Motion Vector Derivation (DMVR), the one or more selected luma prediction sample values are adjusted into luma prediction sample values with the same bit depth as an original coding bit depth of an input video, the luma prediction sample values with the same bit depth as the original coding bit depth of the input video are used to derive a scaling factor for decoding one or more chroma residual samples, the scaling factor is used to scale one or more chroma residual samples, and one or more chroma residual samples are reconstructed by adding the one or more scaled chroma residual samples and their corresponding chroma prediction samples.

Abstract: An electronic apparatus performs a method of decoding video data. The method includes: receiving, from the video data, an Adaptation Parameter Set (APS) identifier associated with a number of previously used Cross-Component Sample Adaptive Offset (CCSAO) filter offset sets stored in APS; receiving, from the video data, a syntax in Picture Header (PH) or Slice Header (SH) that indicates the APS identifier used for a current picture or slice; decoding, for the current coding tree unit (CTU), a filter set index that indicates a particular previously used CCSAO filter offset set of the number of offset sets in the APS associated with the APS identifier; and applying the particular previously used CCSAO filter offset set to the current CTU of the video data.

Abstract: A method, a computing device, and a computer readable storage medium are provided for video coding. The method may include deriving parameter ? and parameter ? for a CCLM mode by using a predetermined number of neighboring reconstructed luma samples and chroma samples in a CU; and generating a final chroma predictor for the chroma samples of the CU by using the parameter ? and the parameter ?.

Abstract: A bit-width representation method of prediction refinement with optical flow (PROF), apparatus, and a non-transitory computer-readable storage medium are provided. The method includes obtaining a reference picture I associated with a video block within the video signal, obtaining prediction samples I(i,j) of the video block from a reference block in the reference picture I, controlling internal bit-widths of a PROF derivation process for various representation precisions of internal PROF parameters by applying right-shifting to the internal PROF parameters based on different bit-shift values, obtaining prediction refinement values for samples in the video block based on the PROF derivation process being applied to the video block based on the prediction samples I(i,j), and obtaining prediction samples of the video block based on the combination of the prediction samples and the prediction refinement values.