Abstract: The apparatus includes processing circuitry that receive a bitstream including a picture. The processing circuitry applies one or more first fixed filters with constant filter coefficients to samples in the picture to obtain one or more respective first filtered outputs of the samples in the picture. Subsequent to applying the one or more first fixed filters, the processing circuitry applies one or more second adaptive filters with changeable coefficients to the one or more first filtered outputs to obtain a second filtered sample of a current sample in the samples and decodes the picture based at least on the second filtered sample of the current sample in the picture. Each coefficient of the second adaptive filter can be applied to a corresponding one of the one or more first filtered outputs.

Abstract: A method, computer program, and computer system is encoding or decoding video data. Video data may include a syntax element indicating a quantization index, wherein a range of the quantization index is extended by an offset value. The syntax element may be parsed to determine the quantization index, a quantization step size may be obtained from a lookup table based on the quantization index and the offset value; and the video data may be encoded or decoded based on the quantization step size.

Abstract: This application relates to the field of communications technologies, and provides ambient light and optical proximity detection methods, a photographing method, and a terminal, so that an entire display screen of the terminal is used to display a user interface, and this improves user experience. The method specifically includes: controlling, by a terminal, some areas of a display screen to display a black picture for a plurality of times; and when the areas display the black picture, obtaining approaching data of the external object detected by an optical proximity sensor to control turning on or off of the display screen.

Abstract: A method and apparatus for encoding or decoding a video sequence includes applying a Cross-Component Linear Model (CCLM) to a video sequence, and applying an interpolation filter in the Cross-Component Linear Model (CCLM), wherein the interpolation filter is dependent upon a YUV format of the video sequence.

Abstract: A method for video coding, executable by a processor, includes receiving video data, determining a directionality of a sample block of the received video data, the directionality corresponding to a descriptor, applying a geometric transformation in which filter coefficients of a cross-component filter or reconstructed samples in a filter support region are rotated by a first amount based on the directionality being a first direction and rotated by a second amount based on the directionality being a second direction different from the first direction, and decoding the video data based on the applied geometric transformation.

Abstract: Aspects of the disclosure provide methods and apparatuses for video encoding/decoding. In some examples, an apparatus for video decoding includes receiving circuitry and processing circuitry. The processing circuitry extracts, from a bitstream, a signal indicative of an application of a template matching based block vector refinement for coding a current block in a current picture referencing (CPR) mode. The processing circuitry derives a first refined block vector associated with the current block according to the template matching based block vector refinement. The first refined block vector includes a first block vector refinement offset applied on a first block vector associated with the current block. The processing circuitry reconstructs the current block according to a first reference block in a same picture as the current block, the first reference block being indicated by the first refined block vector.

Abstract: Aspects of the disclosure provide a method and an apparatus for video decoding. The apparatus includes processing circuitry that receives a coded bitstream comprising a first block in a current picture. The processing circuitry obtains prediction information indicating whether the first block is coded in an intra template matching prediction (IntraTMP) mode. If the IntraTMP mode is applied to the first block, the first block is reconstructed based on a prediction block within a reconstructed search area in the current picture. A reference template of the prediction block is matched to a current template of the first block in the IntraTMP mode. An IntraTMP-based block vector BVIntraTMP of the first block is stored. The IntraTMP-based block vector indicates a position displacement between the current template of the first block and the reference template of the prediction block. A second block is reconstructed based on the stored IntraTMP-based block vector.

Abstract: Aspects of the disclosure provide methods and apparatuses for video encoding/decoding. In some examples, processing circuitry receives a coded video bitstream including a current picture. The current picture includes a chroma block in a chroma separate tree, the chroma block being collocated in a same luma area with one or more luma blocks. The processing circuitry decodes, from the coded video bitstream, a syntax element that indicates a current picture referencing (CPR) mode for the chroma block, and determines, in response to the CPR mode, a chroma block vector for the chroma block according to one or more luma block vectors associated with the one or more luma blocks. The chroma block vector indicates a reference chroma block in the current picture. The processing circuitry reconstructs the chroma block based on the reference chroma block in the current picture.

Abstract: A method performed by a video decoder includes receiving a coded video bitstream that includes a current picture with at least one block located at a boundary of the current picture. The method includes determining whether boundary filtering is enabled for the at least one block based on a syntax element in the received coded video stream. The method further includes, based on a determination that the boundary filtering is enabled: filtering one or more boundary samples corresponding to the at least one block to generate one or more filtered samples, and decoding the at least one block based on the generated one or more filtered samples. The method further includes based on a determination that the boundary filtering is not enabled, decoding the at least one block without filtering the one or more boundary samples.

Abstract: A method performed by a video decoder includes receiving a coded video bitstream including a current picture that includes at least one block. The method includes determining that the at least one block is to be predicted in a reconstruction-reordered intra block copy (RR-IBC) mode. The method includes obtaining a syntax element from the at least one block, the syntax element indicating a flip mode. The method includes determining whether reconstruction flip is applied to the at least one block. The method includes, in response to determining the reconstruction flip is applied to the at least one block, predicting a flip pattern for the at least one block based on neighboring reconstruction samples of the at least block and a corresponding reference block of the at least one block. The method further includes decoding the at least one block based on the flip mode and the predicted flip pattern.

Abstract: An approach for encoding/decoding video data, performed by at least one processor, may include: obtaining a coded video bitstream; obtaining a plurality of blocks from the video bitstream, wherein the plurality of blocks comprise a current block and one or more neighboring blocks; determining, based a syntax element in the video bitstream, that a warp delta mode is used to predict the current block; determining positions and motion vectors of the one or more neighboring blocks; generating a first warp model of the current block based on motion vectors of the one or more neighboring blocks; selecting a warp model from among the first warp model of the current block and a second warp model associated with one of the one or more neighboring blocks as a base model of a coding mode; and decoding the plurality of blocks in the coding mode based on the base model.

Abstract: Processing circuitry receives a video bitstream comprising a current coding block in a picture coded in a template-based multiple reference line intra prediction (TMRL) mode. The processing circuitry determines combinations of reference lines and intra prediction modes for the current coding block. A first combination in the combinations includes a first reference line and a first intra prediction mode. For the first combination, the processing circuitry calculates template entry delta values respectively associated with entries of a template of the current coding block based on the first reference line and the first intra prediction mode, and calculates a first template matching cost value by unequal weighting of the template entry delta values.

Abstract: Aspects of the disclosure provide a method and an apparatus for video decoding. The apparatus includes processing circuitry. The processing circuitry applies an intra prediction mode with a multiple reference line (MRL) prediction to a current block. For each weight candidate combination including a respective first weight candidate and a respective second weight candidate in a plurality of weight candidate combinations, a subset of samples in the current block is predicted using intra prediction fusion that is based on a first reference line weighted by the respective first weight candidate and a second reference line weighted by the respective second weight candidate. The subset of samples includes top samples in a top-most row and left samples in a left-most column. A gradient cost is determined based on the predicted subset of samples and reconstructed samples outside the current block. A weight candidate combination is selected based on the gradient costs.

Abstract: Aspects of the disclose provide methods and an apparatus for video and/or image coding. The apparatus includes processing circuitry that receives a bitstream including a plurality of pictures. The processing circuitry determines an initial motion vector (MV) associated with a motion compensation padding (MCP) block according to motion information of a boundary block located at a picture boundary of a picture in the plurality of pictures. The boundary block is located in the picture. The MCP block is located in an MCP area outside of the picture and adjacent to the picture boundary. The initial MV has a fractional precision. The processing circuitry generates a final MV associated with the MCP block based on the initial MV. The final MV has an integer precision. The processing circuitry reconstructs, according to the generated final MV having the integer precision, at least a sample in the MCP block.

Abstract: An approach for encoding/decoding video data, performed by at least one processor, including: obtaining video data; parsing the obtained video data into blocks; generating a set of parameters of a current block, the set of parameters including at least block position information, motion vector information, and delta values; storing a subset of parameters included in the set of parameters in association with the current block; selecting a first warp model of the current block based on a subset of parameters; and decoding the video data based on the first warp model.

Abstract: A method, computer program, and computer system is provided for coding video data. Video data having a coding tree unit size is received. The coding tree unit size associated with the video data is signaled by setting two or more flags. The video data is encoded/decoded based on the flags corresponding to the signaled coding tree unit size.

Abstract: A device for video decoding can be configured to obtain, from a syntax structure in a bitstream comprising an encoded representation of the video data, a syntax element indicating whether 6-parameter affine prediction is enabled for blocks corresponding to the syntax structure, wherein the blocks corresponding to the syntax structure comprise a first block; based on the syntax element indicating that the 6-parameter affine prediction is enabled for the blocks corresponding to the syntax structure, use the 6-parameter affine prediction to generate a predictive block for the first block; and use the predictive block and residual data to reconstruct the first block.

Abstract: Processing circuitry receives a coded bitstream carrying at least a picture, determines that a current coding unit (CU) in the picture is coded in a subblock based inter prediction mode based on a first syntax element value in the coded bitstream, and determines that one or more first subblocks in the current CU that is coded in the subblock based inter prediction mode are coded by intra prediction. The processing circuitry reconstructs one or more second subblocks of the current CU by inter prediction based on the subblock based inter prediction mode, the one or more second subblocks do not overlap with the one or more first subblocks in the current CU. The processing circuitry reconstructs the one or more first subblocks of the current CU by the intra prediction while the current CU is coded in the subblock based inter prediction mode.

Abstract: An identification method of urban functional areas based on mixing degree of functions and integrated learning includes the following steps: 1) performing data acquisition and preprocessing; 2) constructing 10 indicator features of an urban functional area identification system; 3) structuring the indicator features: acquiring, by a spatial statistical tool, the 10 indicator features corresponding to each parcel; 4) constructing an independent variable dataset; 5) labeling response variables; 6) dividing a training dataset into a plurality of training subsets according to the mixing degree of functions; 7) training a Stacking-based integrated learning model; and 8) joining an attribute in one table to another table, so as to complete the identification of the urban functional areas on each parcel. The identification method divides the training dataset by grading the mixing degree of functions, and makes predictions based on the prediction dataset with corresponding mixing degree of functions.

Abstract: A method includes receiving a current picture, a first reference picture, and a second reference picture. The method includes obtaining a plurality of predefined weighting patterns, each weighting pattern being signaled as an index value and selecting a weighting pattern based on a predetermined condition. The method includes deriving a first weight to be applied to a first sub-block in the first reference picture and a second weight to be applied to a second sub-block in the second reference picture based on the index value corresponding to the selected weighting pattern. The method includes assigning the first weight to the first sub-block and the second weight to the second sub-block based on the selected weighting pattern. The method includes decoding the current block by a weighted bi-prediction based at least on the first sub-block weighted by the first weight and the second sub-block weighted by the second weight.