Abstract: This application discloses a video data processing method and apparatus, a computer device, and a storage medium, and belongs to the field of video processing technologies. According to this application, when a second video is embedded into a target sub-image of a first video, a position movement of the target sub-image in the first video is obtained based on an artificial intelligence technology. According to the position movement, motion blur processing is performed on the picture of the second video correspondingly, so that the second video, after being embedded into the first video, will have the same motion blur effect as the target sub-image in the first video. Therefore, the first video and the second video can be better fused, and a better video transition effect can be obtained.

Abstract: A method, an apparatus and a storage medium for constructing a three-dimensional (3D) facial mesh using artificial intelligence is disclosed. The method includes: obtaining a facial point cloud of a target object; determining, through an expansion calculation, pixel coordinates on a facial texture image of the target object that correspond to 3D data points in the facial point cloud, as index information of the 3D data points; performing triangulation on pixels on the facial texture image to obtain triangulation information; constructing an initial 3D facial mesh according to the triangulation information, the index information, and the facial point cloud; determining a non-core region in the initial 3D facial mesh; smoothing the non-core region in the initial 3D facial mesh; and replacing the non-core region in the initial 3D facial mesh with the smoothed non-core region to obtain a 3D facial mesh of the target object.

Abstract: A cross-blockchain data migration method includes obtaining, by a first node in a first blockchain network, from a first blockchain in the first blockchain network, first service data information corresponding to a first data structure mode stored in a first block in the first blockchain and obtaining a second data structure mode associated with a second block in a second blockchain corresponding to a second blockchain network. The method further includes converting the first service data information to second service data information corresponding to the second data structure mode and establishing a hash mapping relationship between the first service data information and the second service data information in the first blockchain. The method also includes migrating the second service data information to a second node in the second blockchain network based on the hash mapping relationship.

Abstract: A video decoding method includes obtaining a current video frame and determining a region of interest (ROI) of the current video frame. The method also includes decoding the ROI by using a first resolution, and decoding at least other regions of the current video frame than the ROI by using second resolutions, the first resolution being higher than the second resolution.

Abstract: In an interaction method, a first flyable prop is generated in a virtual scene when a first cast operation is triggered by a first virtual object. The first flyable prop is associated with a virtual skill and the first virtual object is associated with a first camp. The first flyable prop that is controlled to move along a first flight trajectory is displayed. The first flight trajectory is determined based on the first cast operation. The first flyable prop is controlled to move along a second flight trajectory when a second flyable prop is detected within a target range of the first flyable prop. The second flyable prop is generated based on a second cast operation performed by a second virtual object. The second virtual object is associated with a second camp. The second flight trajectory is different from the first flight trajectory.

Abstract: This disclosure relates to a video processing method performed by a computer device. The method includes: performing decoder-side intra mode derivation processing on a current block in a video bitstream, to obtain a decoder-side intra mode derivation result for the current block; correcting the decoder-side intra mode derivation result for the current block according to the correction indication information; and predicting an intra prediction mode of the current block based on a corrected decoder-side intra mode derivation result, to obtain a predicted value for the current block, the predicted value for the current block being for reconstructing a decoded image corresponding to the current block.

Abstract: A remote driving control method includes: obtaining vehicle status data of a vehicle and environmental data of a road condition of the vehicle; determining first data for making driving decisions and second data for constructing a simulated environment corresponding to the road condition, based on the vehicle status data and the environmental data; transmitting the first data to a remote driving server; transmitting the second data to a target server, the target server and the remote driving server being connected via a network; receiving a first vehicle control instruction from the remote driving server; and transmitting the first vehicle control instruction to the vehicle, wherein the first vehicle control instruction is generated based on the first data and driving assistance information transmitted from the target server, and wherein the driving assistance information is generated based on the constructed simulated environment.

Abstract: In a method for processing requests to join an interactive group, a first virtual character and a first virtual object are displayed in a virtual environment. The first virtual object represents the interactive group, and a first user account manages the interactive group. A first request to join the interactive group is displayed. The first request to join the interactive group is initiated by the first virtual character. When the first request to join the interactive group is accepted, the first virtual object being entered by the first virtual character is displayed. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

Abstract: A data transmission optimization method, performed by a first application layer transmission optimization (ALTO) client, includes: obtaining, from a core network device, network transmission information of an access network exposed by an access network device to the core network device; obtaining ALTO information provided by an ALTO server; and performing data transmission optimization of the first ALTO client based on the ALTO information and the network transmission information of the access network.

Abstract: A virtual environment display method and apparatus is provided. In the method, a virtual object in a three-dimensional virtual scene moving along a preset trajectory is displayed. The preset trajectory includes a curved trajectory and a non-curved trajectory. The virtual object in a first viewing angle direction is displayed. The first viewing angle direction is an observation direction of a first virtual camera along the non-curved trajectory. The virtual object in a second viewing angle direction is displayed when the virtual object moves to the curved trajectory. The second viewing angle direction is an observation direction of a second virtual camera along the curved trajectory. When the virtual object switches from the curved trajectory to the non-curved trajectory, the display of the virtual object back to the first viewing angle direction is updated.

Abstract: A method for controlling movement of a virtual object in a virtual environment is performed at a terminal.

Abstract: Disclosed is a text sentence processing method performed by a computer device, including: acquiring sample text sentences including entity pairs and relationship labels of the entity pairs; extracting positive and negative example sentence pairs from the sample text sentences according to the relationship labels, and performing positive-negative example sampling, to obtain a training set; inputting the training set into a relationship extraction model to generate loss values; and adjusting parameters of the relationship extraction model according to the loss values, and repeating the step of extracting positive and negative example sentence pairs from the sample text sentences according to the relationship labels to perform iterative training of the relationship extraction model until a training end condition is met, to obtain an updated relationship extraction model, the relationship extraction model being configured to identify an entity relationship of an entity pair in an input text sentence.

Abstract: A keyboard input method and system, the method including obtaining inputted information of a current input keyboard, and determining a first type of the current input keyboard based on the inputted information, loading, based on the first type being inconsistent with a second type of a previous input keyboard used during a previously performed input operation, a system word vocabulary and a conversion algorithm model that correspond to the first type from a library, obtaining user entry information corresponding to the inputted information from a user lexicon that has been loaded, obtaining system entry information corresponding to the inputted information from the system word vocabulary, and determining a list of to-be-selected entries corresponding to the inputted information according to the user entry information, the system entry information, and the conversion algorithm model, and outputting the list of to-be-selected entries.

Abstract: Disclosed is a method for accessing software applications. The method includes obtaining an application access request, the application access request carrying a user identifier and an application identifier; acquiring an encryption key, and encrypting the user identifier by the encryption key, to obtain an encrypted user identifier, the encryption key carrying first key information and second key information; generating an authorization credential corresponding to the application access request according to the encrypted user identifier and the first key information; transmitting the authorization credential to the application that is to be accessed, the application that is to be accessed generating an authorization request based on the authorization credential; receiving the authorization request returned by the application that is to be accessed; and accessing, when the authorization request satisfies a preset condition, the application that is to be accessed based on the second key information.

Abstract: An image processing method is provided. For each frame of a video stream, a pixel digital frame mask in the respective frame of the video stream is obtained. The pixel digital frame mask of the respective frame includes a plurality of preset pixel position sets. At least two target preset pixel position sets are determined from the plurality of preset pixel position sets that form a frame sequence number of the respective frame based on values of pixels included in the at least two target preset pixel position sets. A frame sequence number corresponding to the respective frame of the video stream is determined according to positions of the at least two target preset pixel position sets in the pixel digital frame mask in the respective frame. Further, video fluency of the video stream is determined based on the frame sequence numbers.

Abstract: A database performance tuning method is provided, including: receiving a performance tuning request of tuning a configuration parameter of a target database; obtaining a status indicator of the target database; and inputting the status indicator of the target database into a deep reinforcement learning model, and outputting a recommended configuration parameter of the target database. The deep reinforcement learning model includes a first deep reinforcement learning network and a second deep reinforcement learning network. The first deep reinforcement learning network is configured to provide a recommendation policy for outputting a recommended configuration parameter according to a status indicator, and the second deep reinforcement learning network is configured to evaluate the recommendation policy provided by the first deep reinforcement learning network.

Abstract: This disclosure discloses a multiplayer somatosensory system, method, and apparatus combining virtual and reality, and a medium, which belongs to the field of human-computer interaction. The system includes: a computer device, and a simulation carrier, n simulation firearms and a display apparatus; where the simulation carrier includes a driver's seat and n passenger seats; the display apparatus is configured to display a virtual environment picture and n aiming points provided by the computer device; and the computer device is configured to control a virtual carrier to change a driving direction in the virtual environment; control the virtual carrier to change a driving speed in the virtual environment; and shoot a virtual object aimed at an ith aiming point in the virtual environment in response to a shooting operation on an ith simulation firearm in the n simulation firearms.

Abstract: A method for training an image segmentation model includes calling an encoder to perform feature extraction on a sample image and a scale image to obtain a sample image feature and a scale image feature. The method also includes performing a class activation graph calculation to obtain a sample class activation graph and a scale class activation graph. The method also includes calling a decoder to obtain a sample segmentation result of the sample image, and calling the decoder to obtain a scale segmentation result of the scale image. The method also includes calculating a class activation graph loss and calculating a scale loss. The method also includes training the decoder based on the class activation graph loss and the scale loss.

Abstract: This disclosure is directed to a method and apparatus for displaying an expression in a virtual scene. The method includes: displaying a virtual scene; displaying an expression selection region at a first target position in the virtual scene in response to a drag operation on an expression addition icon; and displaying the first target expression in the virtual scene in response to a selection operation on a first target expression in a plurality of first candidate expressions.

Abstract: This application discloses a navigation processing method and apparatus, a server, and an intelligent terminal. The method includes obtaining drawn route information, the drawn route information comprising N initial location points confirmed according to an electronic map, the N initial location points being determined according to a trajectory drawn based on a sliding operation on an interactive interface where the electronic map is displayed, and N being a positive integer; matching the N initial location points with road network information to obtain associated road information, the associated road information comprising M associated location points and L associated links, and M and L being positive integers; obtaining a location similarity between the N initial location points and the M associated location points; and determining a target navigation route corresponding to the drawn route information according to the L associated links when the location similarity meets a navigation condition.