Abstract: An image prediction method, apparatus, and system, a device, and a storage medium are provided. The method includes: (401) obtaining a split mode of a current node, where the current node is an image block in a coding tree unit in a current image; (402) determining, based on the split mode of the current node and a size of the current node, whether the current node satisfies a first condition; and (403) when it is determined that the current node satisfies the first condition, performing intra prediction on all coding blocks belonging to the current node, to obtain predictors of all the coding blocks belonging to the current node.

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 second blockchain system receives a first consensus message from a first blockchain system, the first blockchain system includes first nodes that provide services to at least a first account, and the second blockchain system includes second nodes that provide services to at least a second account. The first consensus message indicates a first plurality of the first nodes reaches a consensus for transferring a resource from the first account to the second account. The second blockchain system transfers the resource in the task to the second account. The transferring includes that a node in the second nodes adds the resource to the second account and generates a fourth block that records a completion of a transfer event. A second consensus message is transmitted from the second blockchain system to the first blockchain system in response to a second plurality of the second nodes completing the transfer event.

Abstract: A picture encoding/decoding method and a related apparatus are provided. The picture decoding method includes obtaining a current picture from a video, the current picture being segmented using random access points into multiple video segments supporting a random access function; selecting, from a knowledge base, K reference pictures of the current picture, wherein at least one reference picture in the knowledge base does not belong to a random access segment in which the current picture is located, the random access segment comprising a picture sequence arranged in a decoding order from a closest random access point before the current picture to a closest random access point after the current picture; and decoding the current picture according to the K reference pictures.

Abstract: The present invention discloses a method for removing carbon dioxide from a reaction gas. The present invention fully utilizes the available heat in each part of the carbon dioxide removal system to reduce external heat exchange, and thereby significantly reduces the carbon dioxide content in the gas returned to the reactor, and also greatly reduces the steam consumption during the regeneration of the rich decarburizing solution. The present invention also discloses a system for removing carbon dioxide from the reaction gas and use thereof.

Abstract: This application provides a motion vector obtaining method and apparatus. The method includes: determining a target offset vector of a block and identifier information of a target picture, wherein the block comprises at least one sub-block; determining a location of the sub-block; determining, as a target location coordinate value of a collocated sub-block, a location coordinate value obtained by performing a clipping operation on an initial location coordinate value in a range, wherein the initial location coordinate value is based on the location of the sub-block and the target offset vector; and obtaining a motion vector of the sub-block based on a motion vector corresponding to the target location coordinate value. Thus, a range of the target offset vector is limited, so that a quantity of memory read times can be reduced in a process of obtaining the motion vector of the collocated sub-block.

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: An intra prediction method by using cross component liner prediction mode (CCLM), includes: determining a luma block corresponding to a current chroma block; obtaining luma reference samples of the luma block based on determining L available chroma reference samples of the current chroma block, wherein the obtained luma reference samples of the luma block are down-sampled luma reference samples; calculating linear model coefficients based on the luma reference samples and chroma reference samples that correspond to the luma reference samples; and obtaining a prediction for the current chroma block based on the linear model coefficients and values of a down-sampled luma block of the luma block.

Abstract: This application provides picture or audio encoding and decoding methods and apparatuses, and relates to the field of artificial intelligence (AI)—based picture or audio encoding and decoding technologies, and specifically, to the field of neural network-based picture feature map or audio feature variable encoding and decoding technologies. The encoding method includes: obtaining a to-be-encoded target, where the to-be-encoded target includes a plurality of feature elements, and the plurality of feature elements include a first feature element. The method further includes: obtaining a probability estimation result of the first feature element; determining, based on the probability estimation result of the first feature element, whether to perform entropy encoding on the first feature element; and performing entropy encoding on the first feature element only when it is determined that entropy encoding needs to be performed on the first feature element.

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.

Abstract: Aspects of the disclosure provide methods and apparatuses for storing data. In some examples, an information processing apparatus that includes processing circuitry is provided. The processing circuitry is configured to receive data and determine a target blockchain based on an attribute associated with the data and blockchain correspondence information. The blockchain correspondence information indicates attributes associated with a plurality of blockchains. Further, the processing circuitry is configured to store a first block that is generated based on the received data in the target blockchain.

Abstract: Embodiments include 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, video coding efficiency can be improved.

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 method includes parsing a transform coefficient of a transform block in a current coding unit to obtain a first transform coefficient matrix. The method also includes obtaining a quantity K of non-zero transform coefficients in a top-left preset region of the first transform coefficient matrix. The method also includes parsing an index value based on the quantity K being greater than a threshold. The method also includes determining a transform matrix based on the index value. The method also includes multiplying N transform coefficients of the first transform coefficient matrix by the transform matrix to obtain M transform coefficients. The method also includes updating the first transform coefficient matrix by using the M transform coefficients to obtain a second transform coefficient matrix. The method also includes performing an inverse transform on the second transform coefficient matrix to obtain residual samples of the current coding unit.

Abstract: Disclosed are a method for communication, an electronic device, and a computer-readable storage medium. The method includes: determining a first target frequency based on historical sensed information of a destination node; transmitting an RTS frame to the destination node at the first target frequency, where the destination node obtains first sensed information of the source node from the RTS frame, and determines a first optimal receiving frequency of the source node based on the first sensed information; receiving a CTS frame transmitted by the destination node at the first optimal receiving frequency; obtaining second sensed information of the destination node from the CTS frame; determining a second optimal receiving frequency of the destination node based on the second sensed information; transmitting a data frame to the destination node at the second optimal receiving frequency; and receiving an ACK frame transmitted by the destination node at the first optimal receiving frequency.

Abstract: The invention relates to methods for detecting and/or characterising a nanovesicle in a sample or a method of detecting a target that is bound or associated with said nanovesicle, wherein the sample is brought into contact with nanoparticles that are capable of binding on the surface of nanovesicle and form, in situ, a nanoshell that surround said nanovesicle. In a preferred embodiment, the nanovesicle is exosome labelled with fluorescent probes and the nanoparticles are gold nanoparticles (AuNP). The invention also relates to a kit or microfluidic chip for performing such methods, as well as a method of determining the prognosis of a cancer in a subject by performing such methods.

Abstract: The present invention relates to a microfluidic device (100) for mixing liquids, wherein the microfluidic device (100) comprises a plurality of device inlets (110), each device inlet (110) for receiving a liquid; a chamber assembly (120) comprising a set of chamber inlets (122) in fluid communication with the device inlets (110); a mixing chamber (124) for receiving the liquids through the chamber inlets (122); and a plurality of chamber outlets (126) for communicating the liquids away from the mixing chamber (124); and a set of device outlets (130) in fluid communication with the chamber outlets (126), wherein the chamber outlets (126) are spaced around the mixing chamber (124) such that the mixing chamber (124) facilitates uniform mixing of the liquids communicating from the chamber inlets (122) to the chamber outlets (126).

Abstract: The invention relates to an intelligent multi-pollutant ultra-low emission system and a global optimization method thereof. The intelligent multi-pollutant ultra-low emission system comprises a device layer, a sensing layer, a control layer and an optimization layer from bottom to top.

Abstract: Disclosed is a network access management method. The network access management method includes: acquiring a network transmission state between a network device and a terminal having assessed the network device; and setting an access control parameter of the network device as a target parameter value, herein the target parameter value is used for controlling the number of terminals assessing the network device to match the network transmission state.

Abstract: Disclosed is a network access management method. The network access management method includes: acquiring a network transmission state between a network device and a terminal having assessed the network device; and setting an access control parameter of the network device as a target parameter value, herein the target parameter value is used for controlling the number of terminals assessing the network device to match the network transmission state.