Abstract: A reminder method includes: displaying a group session interface of the group session, the group session being a group session in which a group member is allowed to use a group tool, the group tool being a program function that supports use by at least two group members together; displaying a group tool message on the group session interface, the group tool message including an entry link of the group tool; displaying, in response to that the group tool message is a message with a group attribute, a reminder control corresponding to the group tool in the group session interface, the reminder control being used as a reminder of an item in the group tool. The present disclosure provides a human-computer interaction solution for effectively transmitting the group tool message to the group member.

Abstract: A method for filtering out a background audio signal includes: obtaining a first audio signal collected during playing of the background audio signal, the background audio signal being an audio signal obtained by adding watermark information to an original audio signal; separating the first audio signal to obtain the watermark information and a second audio signal without the watermark information; querying the preset correspondence according to the watermark information to obtain the original audio signal corresponding to the watermark information; and filtering out the original audio signal from the second audio signal to obtain a target audio signal.

Abstract: A medical image processing method is provided to a data processing device. The method includes obtaining a medical image, obtaining a feature map and a medical image content recognition result that correspond to the medical image by using a medical image classification model, or obtaining the feature map and a lesion classification result that correspond to the medical image by using the medical classification model, the feature map including N channels, N being an integer greater than 1, generating a thermodynamic diagram corresponding to the medical image content recognition result or the lesion classification result according to the feature map and a weight parameter set, the weight parameter set including N weight parameters, the weight parameters having a correspondence with the channels, and generating an image recognition result corresponding to the medical image according to the thermodynamic diagram.

Abstract: A computing device obtains mini-program code of a to-be-classified mini-program. The computing device runs the mini-program code to obtain dynamic features of the to-be-classified mini-program during the running process. The device uses the dynamic features as inputs for a trained classifier model, to obtain classification information of the to-be-classified mini-program. The device stores the classification information of the to-be-classified mini-program.

Abstract: A method for virtual object control in a game application includes detecting a first virtual resource transfer operation when a distance between a first virtual object and a first virtual obstacle is less than or equal to a first predetermined distance threshold. The first virtual object is located in a first virtual region, the first virtual obstacle is in a first locked state that prevents the first virtual object from entering a second virtual region. Then, the method includes switching the first virtual obstacle from the first locked state to a first unlocked state that allows the first virtual object to enter the second virtual region based on a reduction of virtual resources from the first virtual object. Then, the method includes controlling the first virtual object to enter the second virtual region when a first control operation is detected. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are contemplated.

Abstract: A sound effect adjustment method is provided. In the method, a video frame and an audio signal of a corresponding time unit of a target video are obtained. A sound source orientation and a sound source distance of a sound source object in the video frame are determined. Scene information corresponding to the video frame is determined. The audio signal is filtered based on the sound source orientation and the sound source distance. An echo coefficient is determined according to the scene information. Further, an adjusted audio signal with an adjusted sound effect is generated based on the filtered audio signal and the echo coefficient.

Abstract: A wireless network access method, apparatus, device, and system are provided.

Abstract: A video decoding method includes: performing entropy decoding processing on an encoding block of a video image frame to obtain a quantized coefficient block of residual data corresponding to the encoding block; calculating quantization coefficients in the quantized coefficient block to obtain an implicitly derived index value; determining a transformation mode of the encoding block according to the implicitly derived index value and a value of an index identifier included in the encoding block; and performing inverse transformation processing on an inverse quantization result of the quantized coefficient block based on the transformation mode of the encoding block.

Abstract: A trajectory data processing method is provided to a trajectory data apparatus. The method includes: obtaining trajectory data in a target geographical range, the trajectory data including moving trajectories of a plurality of moving objects, generating a feature map layer of the trajectory data, the feature map layer at least including a trajectory flow map layer, a moving speed map layer, and a travel direction map layer, fusing map layers in the feature map layer to obtain a fused feature map layer; displaying the fused feature map layer; and in response to obtaining a selection instruction of any pixel position on the fused feature map layer, displaying a trajectory flow at the pixel position and a moving speed and a travel direction of a moving object at the pixel position.

Abstract: Provided are a video encoding method and apparatus, a video decoding method and apparatus, a computer-readable medium, and an electronic device, The video decoding method includes: decoding a coded block of a video image frame to obtain a target intra prediction mode corresponding to the coded block (510); in response to the target intra prediction mode belonging to a set of specified intra prediction modes, updating statistical values of the set of specified intra prediction modes, a number of the set of specified intra prediction modes being less than a total number of intra prediction modes (520); updating a most probable intra prediction mode list according to the updated statistical values of the set of specified intra prediction modes (530); and decoding another coded block of the video image frame based on the updated most probable intra prediction mode list (540).

Abstract: An object prompting method includes: displaying a virtual scene picture and superimposing and displaying compass information on the virtual scene picture, a first azimuth scale in the compass information indicates an orientation of the first virtual object in the virtual scene; and displaying an object prompt identifier in response to a sound source object producing a sound in the virtual scene, the object prompt identifier indicates a presence of a sound source producing a sound in a direction corresponding to a second azimuth scale in the compass information. The foregoing method overcomes issues associated with a display of an object prompt identifier being limited by a display region area, a display effect of an object prompt identifier of a sound source object is improved, such that an interaction efficiency of a virtual scene interface is also improved.

Abstract: A multimedia data processing method, executed by a computer device, includes: determining a first associated image block associated with a target image block to be filtered in multimedia data; acquiring target coding and decoding information associated with the target image block; and filtering the target image block by an image filter based on a neural network according to the first associated image block and the target coding and decoding information to obtain a filtered image block corresponding to the target image block.

Abstract: A method for controlling travelling of a vehicle platoon includes: establishing, by a target vehicle of the vehicle platoon, a network connection with a remote control terminal; determining, by the target vehicle, that the target vehicle is to be remotely taken over; initiating, by the target vehicle, control of statuses of vehicles of the vehicle platoon other than the target vehicle; transmitting, by the target vehicle, a takeover request to the remote control terminal, controlling, by the remote control terminal, the target vehicle to enter a driving state; and receiving, by the target vehicle, a takeover confirmation message transmitted by the remote control terminal, wherein the vehicles include a leading vehicle (LV) and a following vehicle (FV) of the LV.

Abstract: A terminal positioning method, applied to a vehicle-to-everything terminal, includes: receiving a PC5 message via a PC5 communication interface; and based on determining the PC5 message was transmitted by a target road side unit, activating positioning and performing positioning in a movement process in different positioning modes based on a current terminal position, wherein a positioning accuracy of a positioning mode is increased as a distance between the current terminal position and a collision-prone area decreases, and wherein the positioning accuracy is decreased as the distance between the current terminal position and the collision-prone area increases.

Abstract: A data processing method performed by a first consensus node in a first network of a multi-blockchain, includes: obtaining a clearing transaction request submitted by a service object; performing verification on an identity authority of a service clearing node to obtain an identity authority verification result; invoking a first authority clearing contract associated with a first authority contract to obtain first service data and first ledger data; obtaining first contract data corresponding to the first ledger data from a contract database corresponding to a first main chain; using the first service data, the first ledger data, and the first contract data as first clearing response information corresponding to the clearing transaction request; and returning the first clearing response information to a first-type clearing node having authority to obtain the first service data, to cause the first-type clearing node to recover a sub-ledger corresponding to the first ledger data.

Abstract: In a method for controlling illumination in a virtual environment, a current position of a virtual object in the virtual environment is obtained. A target virtual light source is identified based on the current position. Reference pose data for the target virtual light source is determined based on a reference position of the virtual object. A pose offset for the target virtual light source is calculated based on the movement of the virtual object from the reference position to the current position. The reference pose data is updated based on the pose offset to obtain target pose data for the target virtual light source. Target illumination data is obtained based on illumination data of the target virtual light source. The illumination for the virtual object is rendered based on the target illumination data and the target pose data of the target virtual light source.

Abstract: In a method for switching pages in a virtual environment, a first page including at least one virtual object is displayed in a first virtual environment. A first magnification operation is received. The first page is magnified to display a magnified first page based on the first magnification operation. When the first magnification operation meets a trigger condition associated with a first virtual object, the display of the magnified first page is transitioned to display of a second page corresponding to the first virtual object. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

Abstract: This application discloses a video compression method, a video decoding method, and related apparatuses. The method includes: extracting a key point from a to-be-processed video frame and a previous video frame respectively to obtain first position information and second position information; performing motion estimation based on the first position information and the second position information to obtain motion information; performing image inpainting based on the motion information and the previous video frame to obtain an initial video frame; determining a latent feature based on the to-be-processed video frame and the initial video frame; and performing video compression based on the first position information, the second position information, and the latent feature to obtain a video compressed file.

Abstract: This application relates to the field of map technologies, and may be applied to the field of an in-vehicle scene and a map. Three-dimensional geological features included in a to-be-displayed area is determined in response to a display instruction for a to-be-displayed area in an electronic map, the plurality of three-dimensional geological features corresponding to a same shared three-dimensional model. The shared three-dimensional model and display style data of the three-dimensional geological features is obtained. The to-be-displayed area on the electronic map is displayed, and a to-be-displayed three-dimensional geological feature of the plurality of three-dimensional geological features is displayed in the to-be-displayed area based on the shared three-dimensional model and the display style data of the plurality of three-dimensional geological features.

Abstract: A picture filtering method, performed by an electronic device, includes: obtaining a picture to be filtered; determining a neural network filter; dividing the picture to be filtered according to a blocking mode corresponding to the neural network filter to obtain one or more picture blocks to be filtered, the blocking mode being a same blocking mode for a training picture used in training the neural network filter; and filtering the one or more picture blocks based on the neural network filter to obtain a filtered picture.