Abstract: In a display method, a first picture of a first game mode is displayed in a first display area of a video game interface. A request to play a first video of the first game mode is received via the video game interface. The first video is played in the first display area in response to the request to play the first video, the first video including instructional pictures of the first game mode.

Abstract: In an information processing method, a first key frame is obtained. The first key frame includes initial posture data of a target virtual character. The initial posture data corresponds to an initial posture. Target posture data of the target virtual character is determined by inputting the initial posture data and a target task to a policy network trained by reinforcement learning. The target task is set for the target virtual character to perform. An output of the policy network indicates the target posture data that corresponds to a target posture of the target virtual character. At least one force to be acted on at least one first joint of the target virtual character is determined according to the initial posture data and the target posture data. The initial posture of the target virtual character is adjusted to the target posture by applying the at least one force.

Abstract: Example embodiments provide a multimedia data processing method and apparatus, a computer device, a computer-readable storage medium, and a computer program product. The method includes: obtaining a global reference data block set and a local reference data block set, the global reference data block set and the local reference data block set being associated with a first data block in a multimedia data frame, the global reference data block set including a coded data block having no adjacent relationship with the first data block in the multimedia data frame, and the local reference data block set including a coded data block having an adjacent relationship with the first data block in the multimedia data frame; and determining a reference data block for coding or decoding of the first data block from the global reference data block set and the local reference data block set.

Abstract: An audio acquisition device positioning method is provided. In the method, a first image that includes an audio acquisition device is obtained. The audio acquisition device in the first image is identified. First coordinate data of the identified audio acquisition device in the first image is obtained. First displacement data is determined according to the first coordinate data and historical coordinate data of the audio acquisition device. First coordinates of the audio acquisition device are determined according to the first displacement data.

Abstract: In a data processing method, storage instance mapping information is obtained based on database configuration information of a blockchain node. The storage instance mapping information indicates data mapping relationships between a plurality of database instances and data types of the plurality of database instances. At least one candidate database instance is determined from the plurality of database instances when to-be-stored blockchain data is received. The data type of each of the at least one candidate database instances is matched with a data type of the blockchain data. The blockchain data is stored to a first database instance of the at least one candidate database instance based on a data sharding strategy in the database configuration information.

Abstract: A data processing method and apparatus, a computer device, a readable storage medium, and a computer program product are provided. The method includes: displaying a shot picture in a shooting interface, the shot picture being captured by a shooting component and including a target object; displaying a first virtual rendering area of the target object in the shooting interface in response to a first trigger operation for the target object in the shooting interface; and displaying media data in the first virtual rendering area, the media data being associated with an object classification of the target object.

Abstract: Embodiments of the disclosure disclose a network slice processing method, system, and device, and a storage medium. The method is applicable to a network management system, and includes: virtualizing functions of a mobile communication network to obtain a plurality of isolated logical subnetworks, and using each logical subnetwork as a network slice; generating a slice-level quality of service (QoS) parameter for each network slice, the slice-level QoS parameter being used by the network management system to instruct a slice processing device to control a first resource corresponding to the network slice; and transmitting the slice-level QoS parameter to the slice processing device.

Abstract: The present disclosure provides a viewing angle adjustment method and device, an electronic device, and a non-transitory computer-readable storage medium, and belongs to the field of computer technologies. The method includes determining an adsorption area of a first virtual object in a virtual scenario according to a distance between the first virtual object and a second virtual object, a size of the adsorption area being positively correlated with the distance between the first virtual object and a second virtual object. In response to an aiming point of the second virtual object being located in the adsorption area, the method includes obtaining a target rotation speed of a viewing angle of the virtual scenario. The method also includes adjusting the viewing angle of the virtual scenario according to the target rotation speed of the viewing angle.

Abstract: The disclosure provides a target detection method and apparatus, a model training method and apparatus, a device, and a storage medium. The target detection method includes: obtaining a first image; obtaining a second image corresponding to the first image, the second image belonging to a second domain; and obtaining a detection result corresponding to the second image through a cross-domain image detection model, the detection result including target localization information and target class information of a target object, the cross-domain image detection model including a first network model configured to convert an image from a first domain into an image in the second domain, and the second network model configured to perform region localization on the image in the second domain.

Abstract: A transfer request is received from a terminal, in which the transfer request carries a user identity (ID) of a first user, a user ID of a second user, and a virtual card ID of the first user; the virtual card is transferred from user account of first user to user account of second user, based on the user ID of the first user, the user ID of the second user and the virtual card ID; an image for transferring the virtual card is obtained; an image library of the virtual card is obtained; an image ID and the image are stored into the image library of the virtual card.

Abstract: An attribute value restoration method and apparatus, a storage medium, and an electronic device are provided. The method includes: obtaining a current attribute value of a life attribute of a first object in a virtual scene displayed by a client; based on a determination that the current attribute value is a first threshold, controlling a target attribute of the first object to become effective, the target attribute having an attribute value in a preset range, and controlling the attribute value of the target attribute to start to decrease in the preset range; and restoring the attribute value of the life attribute of the first object to a third threshold based on a determination that a target operation triggered by using the client is completed before the attribute value of the target attribute decreases to a second threshold in the preset range, the third threshold being greater than the first threshold.

Abstract: Embodiments of this disclosure disclose an information processing method, apparatus and a non-transitory computer readable medium. The method includes: obtaining a target text sequence corresponding to to-be-processed text information; obtaining a context vector according to the target text sequence; determining a logical similarity corresponding to the target text sequence according to the context vector and the target text sequence; and encoding the target text sequence corresponding to target text information by using the logical similarity to obtain a text encoding result. In this embodiment of this disclosure, a context vector related to a discrete sequence is used to encode the discrete sequence, to strengthen the dependence between elements in the discrete sequence, thereby enhancing the performance of a neural network model and improving the learning capability of the model.

Abstract: This application discloses a video decoding method, a video encoding method, and related apparatuses. The method includes: determining a current video frame; obtaining, from video frames that have been decoded, an energy parameter of an MV in a reference frame associated with the current video frame, the energy parameter including at least one of the following: an average value of the MV and a variance of the MV; determining, according to the energy parameter, a target resolution used for decoding the current video frame; and decoding the current video frame by using the target resolution. In this application, the technical problem of relatively low video encoding and decoding efficiency caused by complex processing operations in the related art is resolved.

Abstract: A method for determining motion information is provided to be executed by a computing device. The method includes: determining a first image and a second image, the first image and the second image each including an object; determining a first pixel region based on a target feature point on the object in the first image; determining a second pixel region according to a pixel difference among a plurality of first pixel points in the first pixel region and further according to the target feature point; and obtaining motion information of the target feature point according to the plurality of second pixel points and the second image, the motion information being used for indicating changes in locations of the target feature point in the first image and the second image.

Abstract: A method for transferring a credit rights certificate is provided, including: generating a target account address according to a debtor account address and a creditor account address in a credit rights certificate transfer request, the target account address being a temporary account address used for storing a credit rights certificate and based on a multi-digital-signature process; transferring a credit rights certificate corresponding to the credit rights certificate transfer request from the debtor account address to the target account address; and transferring the credit rights certificate from the target account address to the creditor account address based on a confirmation instruction from the creditor account address.

Abstract: A method and apparatus for aiming at a virtual object in a virtual environment, which: displays a user interface (UI), the UI including a picture of a virtual environment including a first virtual object and at least one second virtual object located in the virtual environment; displays a dot aiming indicator in the virtual environment in response to an aiming instruction, the dot aiming indicator being used for indicating an aiming point selected by an aiming operation on a ground plane of the virtual environment; and controls the first virtual object to aim at a target virtual object, which is a virtual object selected from a second virtual object in a target selection range which is a selection range determined by using the aiming point as a benchmark.

Abstract: Some aspects of the disclosure provide a method of deep learning-based filtering. The method includes obtaining a reconstructed image corresponding to a coded image and at least a quantization parameter. At least a portion of the reconstructed image is reconstructed based on the quantization parameter. The method also includes generating an input to a deep learning filter according to a point multiplication operation of the reconstructed image and the at least the quantization parameter. The point multiplication operation includes pixel-wise multiplications of the at least the portion of the reconstructed image with the quantization parameter. Further, the method includes generating, by the deep learning filter and in response to the input, a filtered image corresponding to the reconstructed image. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

Abstract: A method for determining a target virtual object is provided. In the method, a target search range corresponding to a target skill of a controlled virtual object is determined in response to a trigger operation of the target skill. The virtual object is controlled by a user. In response to the target search range including a plurality of first virtual objects in the target search range, at least one second virtual object that satisfies a defeated condition is obtained from the plurality of first virtual objects, the defeated condition indicating that a preset threshold of virtual health points will be reached after the target skill is performed on the first virtual object. A third virtual object that satisfies a target hit condition of the user is obtained from the at least one second virtual object. The target skill is performed on the third virtual object as the target virtual object.

Abstract: This application discloses an event recognition method, including: obtaining, by a terminal device, a target sentence used for recognizing a type of a target event; processing, by the terminal device, a target sentence based on an event recognition model, to obtain the type of the target event, the event recognition model being used for determining the type of the target event by using a trigger word in the target sentence and at least one context word of the trigger word, the trigger word being used for indicating candidate types of the target event, and the candidate types including the type of the target event; and outputting, by the terminal device, the type of the target event. According to the technical solutions of this application, an event recognition process is performed by using a trigger word and a context word of the trigger word.

Abstract: Methods and devices for conducting a payment transaction between a paying terminal and a selling terminal via a remote server. In some embodiments, the paying terminal scans an encrypted image, such as a two-dimensional code, displayed on the selling terminal. The paying terminal decrypts the encrypted image to obtain payment information and sends a payment request to the remote server for processing. Security verifications may be conducted by the paying terminal or the server, and the server may generate processing results approving or denying the payment request accordingly. When the payment amount is greater than a preset value, additional verification can be carried out using, e.g., biometric information. The paying terminal and/or the selling terminal then display the processing results and the remote server completes the payment transaction.