Abstract: Implementations of the disclosure provide systems and methods for motion compensation prediction. The method may include performing, by a video processor, a geometry partition on a video block of a video frame from a video to obtain a first partition and a second partition. The method may further include applying, by the video processor, a first motion prediction mode to the first partition and a second motion prediction mode to the second partition. At least one of the first motion prediction mode or the second motion prediction mode is an affine motion prediction mode.

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: 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: 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: 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: 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 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: 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: Implementations of the disclosure provide systems and methods for motion refinement in a video. The method may include determining an initial motion vector for a video block of a video frame from the video. The method may include determining a matching target based on a weighted combination of a first reference block from a first reference frame in the video and a second reference block from a second reference frame in the video. The method may include performing a bilateral matching based motion refinement process at a block level to iteratively update the initial motion vector based on the matching target until a refined motion vector is obtained. The method may include refining a motion vector for each sub-block in the video block using the refined motion vector of the video block. Refining the motion vector at a sub-block level applies an affine motion model of the video block.

Abstract: A method for decoding a video block in GPM includes: partitioning the video block into two geometric partitions; constructing a uni-directional motion victor (MV) candidate list by adding regular merge candidates; in response to determining that the candidate list is not full, constructing a first updated candidate list by adding additional uni-directional MVs derived from bi-prediction MVs of a regular merge candidate list to the candidate list; in response to determining that the first updated candidate list is not full, constructing a second updated candidate list by adding pairwise average candidates to the first updated candidate list; in response to determining that the second updated candidate list is not full, periodically adding zero uni-directional MVs to the second updated candidate list until a maximum length is reached; and respectively generating a uni-directional MV for each geometric partition.

Abstract: Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for video decoding. In one method, a decoder receives a Sequence Parameter Set (SPS) rice extension flag that indicates whether an extension of rice parameter derivation for binarization of abs_remainder and dec_abs_level is enabled. In a second method, the decoder may receive a Sequence Parameter Set (SPS) rice adaption enabled flag that indicates whether rice parameter derivation for binarization of abs_remainder and dec_abs_level is used.

Abstract: Methods and devices are provided for decoding a video block in GPM. The method includes: partitioning the video block into a first geometric partition and a second geometric partition; receiving a first template matching (TM) enable flag for the first geometric partition a second TM enable flag for the second geometric partition, the first TM enable flag indicating whether a uni-directional motion of the first geometric partition is refined by TM, and the second TM enable flag indicating 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 motion victor (MV) candidate list of the GPM; and generating a first uni-directional MV for the first geometric partition and a second uni-directional MV for the second geometric partition.

Abstract: Methods and devices for video decoding are provided. The method may include obtaining a plurality of coding blocks within a video frame, where the plurality of coding blocks may include at least one chroma coding block and a plurality of luma coding blocks. Further, the method may include determining whether to apply OBMC to the at least one chroma coding block and the plurality of luma coding blocks to generate prediction samples for the video frame in response to determining that a local chroma tree partition is applied to the plurality of coding blocks.

Abstract: Methods and devices for video decoding are provided. The method includes: receiving a control variable associated with the video block at a coding level, where the control variable enables adaptive switch between a plurality of motion vector refinement (MVR) offset sets, and the video block comprises first and second geometric partitions; receiving one or more syntax elements to determine a first MVR offset for the first geometric partition and a second MVR offset for the second geometric partition from a selected MVR offset set; obtaining a first motion vector (MV) and a second MV from a candidate list for the first and second geometric partitions; calculating a first refined MV and a second refined MV based on the first and second MVs and the first and second MVR offsets; and obtaining prediction samples for the video block based on the first and second refined MVs.

Abstract: An easy-cleaning juicing net structure of a juicing device includes a juice cup, a juicing net cup, a spiral pushing and extruding body and a feeding cup cover. The juicing net cup is received into the juice cup; the spiral pushing and extruding body is received into the juicing net cup; and the feeding cup cover is covered onto the juice cup. The juice cup and the juicing net cup are provided for juicing and filtering food residue to achieve the effect of separating the juice and the residue during a juicing process. No dead spot exists after the juicing net cup is detached from the juice cup to facilitate the cleaning and preventing the residue from being stuck at the corners during the cleaning process, so as to achieve the effects of good functionality and high convenience.

Abstract: A multifunctional juicing net structure of a juicing device includes a juice cup, a juicing net cup, a spiral pushing and extruding body and a feeding cup cover. The juicing net cup is received into the juice cup; the spiral pushing and extruding body is received into the juicing net cup, and the feeding cup cover is covered onto the juice cup. The juice cup and the juicing net cup are provided for juicing and filtering food residue and make selective adjustments according to different squeeze food to achieve the effect of separating the juice and the residue during a juicing process. No dead spot exists after the juicing net cup is detached from the juice cup to facilitate the cleaning and preventing the residue from being stuck at the corners during the cleaning process, so as to achieve the effects of good functionality and high convenience.

Abstract: A multifunctional juicing net structure of a juicing device includes a juice cup, a juicing net cup, a spiral pushing and extruding body and a feeding cup cover. The juicing net cup is received into the juice cup; the spiral pushing and extruding body is received into the juicing net cup, and the feeding cup cover is covered onto the juice cup. The juice cup and the juicing net cup are provided for juicing and filtering food residue and make selective adjustments according to different squeeze food to achieve the effect of separating the juice and the residue during a juicing process. No dead spot exists after the juicing net cup is detached from the juice cup to facilitate the cleaning and preventing the residue from being stuck at the corners during the cleaning process, so as to achieve the effects of good functionality and high convenience.

Abstract: An easy-cleaning juicing net structure of a juicing device includes a juice cup, a juicing net cup, a spiral pushing and extruding body and a feeding cup cover. The juicing net cup is received into the juice cup; the spiral pushing and extruding body is received into the juicing net cup; and the feeding cup cover is covered onto the juice cup. The juice cup and the juicing net cup are provided for juicing and filtering food residue to achieve the effect of separating the juice and the residue during a juicing process. No dead spot exists after the juicing net cup is detached from the juice cup to facilitate the cleaning and preventing the residue from being stuck at the corners during the cleaning process, so as to achieve the effects of good functionality and high convenience.