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: An integrated circuit structure includes a substrate, semiconductor devices, an inter-layer dielectric (ILD) structure, an interconnect, a dielectric layer, an etching barrier layer, a conductive layer, and memory units. The semiconductor devices are on the substrate. The ILD structure is over the semiconductor devices. The interconnect is in the ILD structure and electrically connected to the semiconductor devices. The dielectric layer is over the ILD structure. The etching barrier layer is on the first dielectric layer. The conductive layer is on the etching barrier layer. The memory units are stacked in a vertical direction over the etching barrier layer.

Abstract: This disclosure provides methods, devices, and systems for active noise cancellation (ANC). The present implementations more specifically relate to the use of dynamic range compression (DRC) for ANC. In some aspects, an ANC system receives an input audio signal of a transient noise as measured by a microphone, performs DRC on the input audio signal to generate a compressed dynamic range audio signal, and performs ANC on the compressed dynamic range audio signal to generate a cancellation signal associated with the input audio signal. The cancellation signal is based on an adjusted gain of the input audio signal to prevent saturation or large spikes of the cancellation signal, which can cause undesirable audio during playback.

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: 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: 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: 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: 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: 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 speaker having a support structure having a bracket, and a vibration structure having a bend ring. The bend ring comprises an arc portion and an outer brim connected to the bracket. The outer brim of the bend ring extends downwardly to abut and connect to an outer brim of the top of the bracket, and the outer brim of the bend ring does not exceed the outermost end of the arc portion in the radial direction. The effective vibration area of a speaker is increased by using the above structure, so that the sensitivity of the speaker is improved.

Abstract: Provided is a pharmaceutical composition including gastrodin and a use thereof for the prevention or the treatment of amyotrophic lateral sclerosis. The pharmaceutical composition is effective in reducing neuronal axon degeneration and neurofibromin accumulation, improving symptoms of amyotrophic lateral sclerosis and extending life of patients of amyotrophic lateral sclerosis.

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.

Abstract: The present invention relates to a coral composite extract, a composition including the same and a method of producing the same. The coral composite extract includes at least two briarane-type diterpenoid compounds from corals of Briareum violaceum, B. excavatum and B. stechei, thereby being applied as an effective ingredient of a skin external use composition, a cosmetic composition and a medicinal composition.

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: 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: Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for decoding a video signal. The method includes obtaining a first reference picture I associated with a video block, obtaining control point motion vectors (CPMVs) of an affine coding block based on the video block, obtaining prediction samples I(i, j) of the affine coding block, deriving PROF prediction sample refinements of the affine coding block based on the PROF, receiving an LIC flag that indicates whether the LIC is applied to the affine coding block, deriving, and when the LIC is applied, LIC weight and offset based on neighboring reconstructed samples of the affine coding block and their corresponding reference samples in the first reference picture, and obtaining final prediction samples of the affine coding block based on the PROF prediction sample refinements and the LIC weight and offset.