Abstract: A method includes determining whether a user equipment activating a multicast service is to establish a Protocol Data Unit session and acquire an Internet Protocol (IP) address assigned by a Session Management Function (SMF) entity, and activating the multicast service for the user equipment through the SMF entity based on the determination.

Abstract: An artificial intelligence (AI)-based face recognition method includes: obtaining n groups of input video frames, at least one group of video frames including a color video frame and a depth video frame of a target face, n being a positive integer; invoking an interactive liveness detection function to recognize the color video frames in the n groups of video frames; invoking a second three-dimensional (3D) structured-light liveness detection function to recognize the depth video frames in the n groups of video frames; and determining, in response to both detection results of the interactive liveness detection function and the 3D structured-light liveness detection function indicating that a type of the target face being a liveness type, that the target face is a live target face.

Abstract: A data processing method and apparatus, a device, and a non-transitory computer-readable storage medium are provided. A target data table is obtained that includes at least two index keywords corresponding to a target object. Metadata information corresponding to the target data table is merged to obtain a metadata management table. Feature mapping is performed on data in the target data table according to the metadata management table in order to obtain data features corresponding to the at least two index keywords in the target data table and in order to generate data feature tables. The data feature tables are merged to obtain an index table. A metadata management table is constructed through the metadata information of the target data table. An index table corresponding to the target data table is generated according to the metadata management table to implement the inverted index of the data through the index table.

Abstract: The present disclosure discloses a media information presentation method performed at a computer server communicatively connected to a plurality of terminals associated with a social networking platform. The method includes: receiving a plurality of media information operation messages, each message indicating an operation performed on a piece of advertisement by one of a first group of users; deriving a second group of users that are direct connections of the first group of users; collecting, from the media information operation messages, statistics on operation statistical data of the second group of users; and receiving a media information obtaining request from a respective user of the second group of users at a terminal; in response to the request, identifying a plurality of pieces of advertisement corresponding to the respective user; sorting them according to their corresponding operation weights; and returning, to the terminal, top L pieces of advertisement in the descending order.

Abstract: A data processing method and apparatus for an immersive media file, and a computer-readable storage medium, which can enrich presentation forms of immersive media. The method includes: obtaining a recommended viewport box of the immersive media file, the recommended viewport box being used for defining switching information of a viewpoint and switching information of a recommended viewport of the immersive media file; determining a destination viewpoint and a destination recommended viewport according to the switching information of a current viewpoint and the switching information of a current recommended viewport; and switching to the destination viewpoint and the destination recommended viewport, to present the immersive media file.

Abstract: This application discloses a method and apparatus for switching perspectives in a computer game, an electronic device and a computer-readable storage medium. The method includes displaying a virtual scene picture in a game from a target perspective in a client; triggering a key stage in the game and determining a key perspective corresponding to the key stage; and automatically switching the target perspective to the key perspective to display a key scene picture from the key perspective in the client.

Abstract: A message exchange method and apparatus, a non-transitory storage medium, and an electronic device are provided. The method is applied to a user equipment and includes: displaying bill information of a target bill in a window of a group session in which a target object is located, the target bill recording a resource value of a to-be-transferred virtual resource of an object comprised in a first object set and a resource value of a to-be-received virtual resource of an object comprised in a second object set; performing a virtual resource transfer operation according to a target resource value recorded in the target bill; and displaying a bill reconciliation message when a resource value transferred by the first object set reaches a total resource value of the to-be-transferred virtual resource and a resource value received by the second object set reaches a total resource value of the to-be-received virtual resource.

Abstract: A computer device acquires, based on a prior network and a posterior network of a dialogue model, at least two first dialogue features and at least two second dialogue features of a first dialogue. The computer device outputs, using the prior network, a probability distribution of dialogue features in accordance with the acquired dialogue features and estimates, using the posterior network, the probability distribution of the dialogue features output by the prior network. The computer device updates the dialogue model and updates the posterior network based on dialogue features of the first dialogue. The computer device also updates a discriminator in the dialogue model based on at least two first dialogue features and at least two second dialogue features of a second dialogue. In accordance with a determination that the dialogue model has satisfied a training end condition, the computer device determines that the dialogue model is a trained model.

Abstract: A virtual object control method is described. The method includes determining a search range greater than a maximum shooting range of a target skill in a virtual scene corresponding to the target skill, in response to receiving an operation on a target skill control searching the determined search range for a target virtual object in the virtual scene, and controlling, when the target virtual object is found within the search range, and based on a position of the target virtual object in the virtual scene, a first virtual object to cast the target skill in the virtual scene. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are provided.

Abstract: This application provides a method and apparatus for presenting an audiovisual work, a device, and a medium, and belongs to the field of artificial intelligence. The method includes: displaying a map control of the audiovisual work, the map control displaying a map associated with a plot of the audiovisual work; determining a marker point on the map in response to a location marking operation on the map; and presenting a plot clip in the audiovisual work that corresponds to the marker point.

Abstract: This disclosure describes a quantum noise process analysis method, device, and storage medium, in the field of quantum processing technologies. The method may include performing quantum process tomography (QPT) on a quantum noise process of a target quantum system, to obtain dynamical maps of the quantum noise process, wherein the QPT involves at least one measurement of the target quantum. The method further includes extracting transfer tensor maps (TTMs) of the quantum noise process from the dynamical maps; and analyzing the quantum noise process according to the TTMs. The TTM is used for representing a dynamical evolution of the quantum noise process to reflect the law of evolution of the dynamical maps of the quantum noise process over time.

Abstract: This application discloses a map generation method performed by an electronic device. The method includes: randomly placing first M sub-level maps of N sub-level maps in a predetermined map region, N>M, and the first M sub-level maps not overlapping with each other and at least one of the first M sub-level maps is not connected to the others of the first M sub-level maps; selecting, among the remaining N?M sub-level maps, one or more to-be-placed sub-level maps; and iteratively placing the to-be-placed sub-level maps at target candidate regions adjacent the at least one of the first M sub-level maps in accordance with a predetermined condition to obtain a target map, wherein the predetermined condition comprises: after a to-be-placed sub-level map is placed at one of the target candidate regions, the sub-level map is connected to the at least one of the first M sub-level maps.

Abstract: In an interactive processing method, a virtual scene is displayed by an electronic device. The virtual scene includes a first virtual object. An identifier of at least one second virtual object is displayed in response to a clicking/tapping operation on a skill control of the first virtual object. An identifier of at least one target second virtual object selected by the first sliding operation is indicated in response to a first sliding operation for the identifier of the at least one second virtual object. The first sliding operation being performed by maintaining contact of the clicking/tapping operation. The first virtual object to release at least one target skill at a release position of the first sliding operation is controlled. The at least one target skill being a skill possessed by the at least one second virtual object.

Abstract: A service data packet processing method, performed by a network-side network element, includes: receiving characteristic assistance data transmitted by an application-side network element for a service flow; performing characteristic parameter inferencing based on the characteristic assistance data to obtain a target characteristic parameter of the service flow; and processing a first service data packet of the service flow based on the obtained target characteristic parameter, wherein the characteristic assistance data includes data associated with a first characteristic of the service flow.

Abstract: A method for displaying a voting result includes: receiving a selection operation signal for an action plan from a virtual object in a target camp; displaying a vote counting area corresponding to the action plan in an interface of the terminal device, the vote counting area being used for displaying voting on the action plan, and the vote counting area comprising sub-areas in a to-be-selected state; receiving a voting operation signal for the action plan, the voting operation signal indicating a support status for the action plan; adjusting one of the sub-areas from the to-be-selected state to a selected state with a display characteristic corresponding to the support status according to the voting operation signal, wherein different support status corresponds to different display characteristics for the sub-areas; and displaying a voting result corresponding to the action plan based on the voting operation signal.

Abstract: This application discloses a method for recognizing a video clip performed by a computer device. The method includes: determining a plurality of video frame pairs between a first video and at least one second video, each video frame pair comprising a first video frame from the first video and a second video frame from the at least second video with a similarity satisfying similarity conditions; fusing the first video frames in the plurality of video frame pairs on the basis of occurrence time differences of each video frame pair to obtain at least one candidate video clip in the first video; and determining at least one target video clip in the first video on the basis of the at least one candidate video clip, the at least one target video clip being within a target time range of the first video.

Abstract: A data processing method, apparatus, and device based on a smart contract, and a storage medium can improve execution speed of a smart contract and reduce a running time. A contract call request used for executing a transaction service is acquired. An asynchronous variable statement corresponding to the asynchronous variable function name in a smart contract is also acquired. A first memory and a second memory associated with the first variable parameter are queried based on the first asynchronous variable statement. A data read request is transmitted to the first memory and a separate data read request is transmitted to the second memory in an asynchronous request manner indicated by the first asynchronous variable statement to obtain first to-be-read data and second to-be-read data used for executing the transaction service.

Abstract: A video decoding method, a video encoding method, and a related apparatus are provided. In the video decoding method, for a current target video frame in a target video, reference decoding parameters in a reference frame may be obtained from video frames that have been decoded before the target video frame, and a target resolution may be obtained based on a decoding indication parameter obtained based on (e.g., fusing) the reference decoding parameters. The current target video frame may be decoded by using the target resolution.

Abstract: A computing device receives network message data. The computing device determines a message processing type corresponding to the network message data. In accordance with a determination that the message processing type is a consensus processing type, the computing device obtains a consensus parameter corresponding to the network message data. In accordance with a determination that the consensus parameter does not meet a consensus validity condition, the computing device classifies the network processing message data as an invalid consensus message; and filters out the network message data.

Abstract: Embodiments of this disclosure include an image processing method and apparatus. The method may include obtaining feature points corresponding to training images and feature center points of images in a second quantity of categories and obtaining a feature condition probability distribution that the feature points collide with corresponding feature center points. The method may further include performing network training to obtain target feature center points of the images in the second quantity of categories. The method may further include mapping the first quantity of feature points and the second quantity of target feature center points to a Hamming space, to obtain hash codes of the first quantity of training images and hash center points of the images in the second quantity of categories. The method may further include performing network training using the hash condition probability distribution and the ideal condition probability distribution, to obtain an image hash model.