Abstract: The present disclosure provides a chroma block prediction method and a device. The method includes: parsing a bitstream to obtain first indication information; downsampling a first luma block by a first filter when a value of the first indication information is a first value or by using a second filter when a value of the first indication information is a second value, to obtain a second luma block; obtaining a plurality of chroma samples and a plurality of luma samples; obtaining linear model coefficients based on the plurality of chroma samples and the plurality of luma samples; and obtaining a prediction value of the current chroma block based on the second luma block and the linear model coefficients.

Abstract: A video picture prediction method and apparatus are provided, to provide a manner of determining a maximum length of a candidate motion vector list corresponding to a subblock merge mode. The method comprises: parsing a first indicator from a bitstream; if the first indicator indicates that a candidate mode used to inter predict the to-be-processed block comprises an affine mode, parsing a second indicator from the bitstream, where the second indicator is used to indicate a maximum length of a first candidate motion vector list, and the first candidate motion vector list is constructed for the to-be-processed block, a subblock merge prediction mode is used for the to-be-processed block; and determining the maximum length of the first candidate motion vector list based on the second indicator.

Abstract: An apparatus for inter prediction of a sample value of a current full-integer pixel of a plurality of pixels associated with a current block of a current frame of a video signal is disclosed. The apparatus is configured to: determine a motion vector of the current full-integer pixel based on a motion compensation model; determine for the current full-integer pixel a corresponding sub-integer pixel in a reference frame; determine positions of a set of corresponding filter support pixels in the reference frame; obtain a respective sample value of the corresponding sub-integer pixel of the current full-integer pixel and the corresponding filter support pixels in the reference frame by applying a bilinear interpolation; and determine the inter predicted sample value of the current full-integer pixel.

Abstract: A titanium dioxide micro-nanocontainers, corrosion-resistant waterborne epoxy coatings and preparation method thereof, including preparation steps as follows: TiO2 micro-nano spheres are synthesized by applying hydrothermal method; a polyaniline layer doped with molybdate ions is deposited on the surface of TiO2 micro-nano spheres by adopting the method of in-situ chemical polymerization, TiO2/PANI-MoO42? micro-nano-spheres are obtained, then, polydopamine is encapsulated on the surface of TiO2/PANI-MoO42? micro-nano spheres to obtain titanium dioxide micro-nanocontainers; next, antirust filler, defoamer, dispersant and thickener are added into waterborne epoxy emulsion, then titanium dioxide micro-nanocontainers are added in the waterborne epoxy emulsion for dispersing and grinding, filtering and encapsulating to obtain component A; the waterborne epoxy curing agent and deionized water are mixed in proportion to obtain component B; component A is stirred, then it is mixed with the component B in proportion,

Abstract: A video decoding method includes obtaining a to-be-entropy-decoded syntax element in a current block by parsing a received bitstream, where the to-be-entropy-decoded syntax element includes a syntax element 1 or a syntax element 2 in the current block, obtaining a context model corresponding to the to-be-entropy-decoded syntax element, where both of a context model corresponding to the syntax element 1 and a context model corresponding to the syntax element 2 are determined from the same preset context model set, entropy decoding the to-be-entropy-decoded syntax element based on the context model corresponding to the to-be-entropy-decoded syntax element, and obtaining a reconstructed image of the current block based on the syntax element obtained by entropy decoding.

Abstract: A mechanism for position dependent spatial varying transform (SVT) for video coding. A prediction block and a corresponding transformed residual block are received at a decoder. A type of spatial varying transform (SVT) employed to generate the transformed residual block is determined. A position of the SVT relative to the transformed residual block is also determined. An inverse of the SVT is applied to the transformed residual block to reconstruct a reconstructed residual block. The reconstructed residual block is then combined with the prediction block to reconstruct an image block.

Abstract: A multi-region imaging device (1000?, 2000) and method (9000?). The multi-region imaging device (1000?, 2000) comprises: a picture light projection plate (1100?, 2100?), wherein the picture light projection plate (1100?, 2100?) comprises a first region (1110?, 2110?) and a second region (1120?, 2120?) that do not overlap each other, the first region (1110?, 2110?) and the second region (1120?, 2120?) emit picture light for imaging; and an optical path compensation section (1200?, 2200?), wherein the optical path compensation section (1200?, 2200?) is arranged on a propagation path of the picture light emitted by the second region (1120?, 2120?), and the picture light emitted by the second region (1120?, 2120?) is transmitted by the optical path compensation section (1200?, 2200?) and optical path compensation is carried out thereon.

Abstract: A feature map processing method includes: determining P target strides based on a preset correspondence between a stride and a feature map size range and a size of a target feature map, where P is a positive integer; and invoking a neural network model to process the target feature map, to obtain a processing result of the target feature map, where the neural network model includes P dynamic stride modules, a stride of a dynamic stride module of the P dynamic stride modules is a target stride corresponding to a dynamic stride module in the P target strides.

Abstract: This application relates to the field of artificial intelligence technologies, and provides a feature map processing method and a related device. The method is implemented by invoking a neural network model that includes a plurality of input adaptation branches and a post-processing part. An output of each of the plurality of input adaptation branches is an input of the post-processing part, and each of the plurality of input adaptation branches can downsample a feature map at a different ratio.

Abstract: A video decoding method, including: parsing a received bitstream to obtain prediction information of a coding unit (CU); obtaining a target transform mode of a residual transform unit (TU); parsing the received bitstream to obtain transform coefficients of the residual TU; applying an inverse quantization to the transform coefficients of the residual TU to obtain dequantized coefficients; applying, based on the target transform mode, an inverse transform to the dequantized coefficients to obtain a residual block of the residual TU; obtaining a prediction block of the CU based on the prediction information; obtaining a video block based on the residual block and the prediction block; and outputting a video sequence including a video frame that includes the video block.

Abstract: A decoding method includes decoding a bitstream to obtain a first feature map, where a resolution of the first feature map is lower than a resolution of an original picture; and reconstructing a second feature map based on a first neural network, to obtain a reconstructed picture, where a resolution of the second feature map and a resolution of the reconstructed picture each are a target resolution, the target resolution is lower than the resolution of the original picture, and the second feature map is the first feature map, or the second feature map is a feature map obtained by processing the first feature map based on a second neural network.

Abstract: This application provides a feature map encoding and decoding method and an apparatus, and relates to the field of artificial intelligence (AI)-based data encoding and decoding technologies. The feature map decoding method includes: obtaining a bitstream of a to-be-decoded feature map, where the to-be-decoded feature map includes a plurality of feature elements; obtaining a first probability estimation result corresponding to each feature element based on the bitstream, where the first probability estimation result includes a first peak probability; determining a set of first feature elements and a set of second feature elements from the plurality of feature elements based on a first threshold and the first peak probability corresponding to each feature element; and obtaining a decoded feature map based on the set of first feature elements and the set of second feature elements. This can improve encoding and decoding performance while reducing encoding and decoding complexity.

Abstract: A video encoder, a video decoder, and a corresponding method, where the method includes, when a plurality of preset conditions are satisfied, performing bi-directional optical flow (BDOF) processing on a current picture block to obtain a predicted sample value of the current picture block, where the plurality of preset conditions include at least a condition that a height (H) of the current picture block is greater than or equal to 8, a width (W) of the current picture block is greater than or equal to 8, and a product of W and H is greater than 128. Thus encoding/decoding complexity and prediction accuracy can be balanced to some extent.

Abstract: Embodiments of this application disclose an intra prediction method for a video sequence. The method includes: obtaining a size and a split mode of a chroma coding tree node; determining, based on the size and the split mode of the chroma coding tree node, whether to allow cross-component linear model (CCLM) intra prediction to be performed on a chroma coding unit included in the chroma coding tree node; determining a prediction mode of the chroma coding unit depending on whether to allow CCLM to be performed on the chroma coding unit; and processing the chroma coding unit based on the prediction mode of the chroma coding unit to obtain prediction samples of the chroma coding unit.

Abstract: The present application disclose a picture processing method and apparatus, which are applicable to a video picture processing scenario. The method includes: obtaining at least two transform coefficient blocks, where each of the at least two transform coefficient blocks includes at least two transform coefficients that correspond to different frequency points; determining, according to a preset frequency point scanning order, the transform coefficients that are in the at least two transform coefficient blocks and that correspond to a selected frequency point; and encoding, according to a preset coefficient scanning order, each transform coefficient corresponding to the selected frequency point, to obtain picture encoded information.

Abstract: A video decoding method includes: determining a usage of an SVT-vertical (V) or an SVT-horizontal (H) for a residual block; determining a transform block position of a transform block of the residual block; determining a transform type of the transform block, wherein the transform type indicates a horizontal transform and a vertical transform for the transform block, wherein at least one of the horizontal transform or the vertical transform is a discrete sine transform (DST)-7; and reconstructing the residual block based on the transform type, the transform block position, and transform coefficients of the transform block.

Abstract: Embodiments of this application disclose a picture reconstruction method and apparatus for a video picture. The picture reconstruction method includes: obtaining a prediction mode of a current coding unit, and/or obtaining a prediction partition mode of the current coding unit, where the current coding unit includes a luma coding block and a chroma coding block, and the prediction partition mode is a mode of splitting the current coding unit into prediction blocks or prediction units; obtaining a transform block of the current coding unit based on the prediction partition mode and/or the prediction mode; and generating a reconstructed picture block of the current coding unit based on the transform block. According to the method in the embodiments of this application, video coding efficiency can be improved.

Abstract: A video coding mechanism is disclosed. The mechanism includes receiving a video signal partitioned into a chroma block and a first neighboring luma block. The mechanism also includes encoding prediction information for chroma samples of the chroma block into a bitstream. The prediction information for the chroma samples is determined via intra-prediction based on down-sampled neighboring luma samples. The down-sampled neighboring luma samples are generated from a single row of luma samples from the first neighboring luma block. A bitstream including the prediction information for the chroma samples is transmitted to support decoding and display of the chroma samples.

Abstract: This application provides an inter prediction method and apparatus, a video encoder, and a video decoder. The method includes: determining N target picture blocks from M picture blocks in which M neighboring locations of a current picture block are respectively located, where any two of the N target picture blocks are different, M and N are both positive integers, and M is greater than or equal to N; determining candidate motion information of the current picture block based on motion information of the N target picture blocks, and adding the candidate motion information of the current picture block to a motion information candidate list of the current picture block; and performing inter prediction on the current picture block based on the motion information candidate list. In this application, comparison operations during obtaining of the motion information candidate list can be reduced, to improve inter prediction efficiency.

Abstract: This application provides a chroma block prediction method and apparatus. The method includes: obtaining chroma values of chroma samples; obtaining, luma values of luma samples corresponding to the chroma samples; obtaining, from the luma values, a first luma set and a second luma set; grouping the chroma values into a first chroma set and a second chroma set; determining a scaling coefficient in a linear model based on an average value of luma values in the first luma set, an average value of luma values in the second luma set, an average value of chroma values in the first chroma set, and an average value of chroma values in the second chroma set; determining, based on the scaling coefficient, an offset factor in the linear model; and determining prediction information of the chroma block based on the scaling coefficient and the offset factor.