Abstract: A point cloud encoding method, performed by an encoding device, includes: obtaining point cloud data, including one or more point cloud groups, wherein the one or more point cloud groups include first points; determining one or more starting points for the one or more point cloud groups; constructing one or more single-chain predictive trees for the one or more point cloud groups based on the one or more starting points; encoding the first points based on the one or more single-chain predictive trees; and transmitting the encoded first points.

Abstract: Methods, apparatus, computer devices, products, and storage medium are described for generating tree-structure storage data for a graph structure, applicable to the fields of cloud computing or the Vehicle of Internet. One method includes: obtaining data of a graph structure comprising vertex data of at least one vertex of the graph structure and edge data of at least one edge of the graph structure; constructing memory data of a tree structure for the data of the graph structure in a memory of the computer device; constructing a plurality of disk blocks in a storage device based on the memory data of the tree structure; and storing the data of the root node, the data of each first-subnode, and data of a subtree using each second-subnode as a root node into corresponding disk blocks respectively, to obtain the storage data of the tree structure for the graph structure.

Abstract: In a virtual learning method, a setting interface for inputting information is displayed when a seating request is triggered by a first user on a first user interface. The first user interface is associated with a virtual learning system. Information about at least one second user that is associated with the virtual learning system is obtained. When the at least one second user is matched to the inputted information input by the first user, a second user interface is displayed. The second user interface includes a first virtual object corresponding to the first user and at least one second virtual object corresponding to the at least one second user. The first virtual object and the at least one second virtual object both are bound to a first virtual multi-user seat.

Abstract: In a method for previewing messages in a virtual environment, a plurality of virtual characters is displayed in the virtual environment. Each virtual character of the plurality of virtual characters is movable in the virtual environment. When a message is received from a first virtual character of the plurality of virtual characters, a message notification graphical element in association with the first virtual character is displayed in the virtual environment. Content of the received message is displayed in response to detecting a user input on the message notification graphical element. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

Abstract: In a method for controlling a virtual object in a virtual scene which is displayed by a first terminal. A first account is logged in to the first terminal. The virtual scene includes at least one first virtual object at a first position and that is associated with the first account. An interaction invitation interface is displayed. An interaction request is transmitted to at least one second terminal in response to a trigger operation for the interaction invitation interface. Each of the second terminal is associated with a different second account. Each of at least one second virtual object is controlled to interact with the at least one first virtual object in response to an interaction request and based on whether a distance between a second position of the respective second virtual object and the first position is less than a first distance threshold.

Abstract: In a method for interaction in a virtual scene, a first virtual character in a first interaction state and an interactive item are displayed in the virtual scene. The first virtual character is transitioned from the first interaction state to a second interaction state when the first virtual character obtains the interactive item. The interactive item is stored when the first virtual character reaches a target location in the virtual scene in the second interaction state. In the first interaction state, the first virtual character is configured to interact with a second virtual character using a target interaction mode, and in the second interaction state, the first virtual character is not configured to interact with the second virtual character using the target interaction mode.

Abstract: This application discloses a video clip positioning method performed at a computer device. In this application, the computer device acquires a plurality of video frame features of a target video and a text feature of a target text using a video recognition model to determine a candidate clip that can be matched with the target text. The candidate clip is finely divided based on a degree of matching between a video frame in the candidate clip and the target text to acquire a plurality of sub-clips, and a sub-clip that has the highest degree of matching with the target text is used as a target video clip. According to this application, the video recognition model does not need to learn a boundary feature of the target video clip, and during model training, or precisely label a sample video, thereby shortening a training period of the video recognition model.

Abstract: This application relates to the field of video coding and decoding technologies, and provides a video decoding method and apparatus, a video coding method and apparatus, a device, and a storage medium. The method includes decoding, from a bit stream, a binary symbol string with string length information of a current string, the string length information comprising information related to a string length of the current string; inversely binarizing the binary symbol string according to a string length resolution (SLR) of the current string, to obtain the string length information; and determining the string length of the current string according to the string length information.

Abstract: The present application provides a search processing method performed by a computer device. The method includes: displaying a resource search interface in response to a search operation on multimedia data in a service interface, the resource search interface comprising a first region and a second region; displaying, in the first region, at least one search tag associated with the multimedia data; and displaying, in the second region in response to a selection operation on a target tag of the at least one search tag displayed in the first region, a search result associated with the target tag. Search efficiency for the multimedia data can be improved.

Abstract: A dialogue generation method, a network training method and apparatus, a storage medium, and a device are provided. The method includes: predicting, based on a plurality of a plurality of pieces of candidate knowledge text in a first candidate knowledge set, a preliminary dialogue response of a first dialogue preceding text; processing the first dialogue preceding text based on the preliminary dialogue response to obtain a first dialogue preceding text vector; obtaining a piece of target knowledge text based on a probability value of the piece of target knowledge text of being selected to be used in generating a final dialogue response, the probability value being obtained based on the first dialogue preceding text vector; and generating the final dialogue response based on the first dialogue preceding text and the piece of target knowledge text.

Abstract: This application relates to a photoresist removal method, including: acquiring a target wafer, a photoresist being provided on a surface of the target wafer, a surface of a photoresist layer of the photoresist being plated with a metal overhead layer; immersing the target wafer in a first organic solvent at a first temperature in a water bath for a first duration; rinsing the target wafer with a new first organic solvent in response to an end of the first duration; performing, in the first organic solvent, ultrasonic cleaning on the rinsed target wafer for a second duration based on a target ultrasonic power; removing the residual first organic solvent on the surface of the target wafer in response to an end of the second duration; and drying the target wafer with the solvent removed by simultaneous centrifugal drying and gas purging to obtain the target wafer with the photoresist removed.

Abstract: A point cloud decoding method includes: receiving a point cloud file transmitted by a data source, the point cloud file including at least one point cloud media track; parsing file encapsulation information of the at least one point cloud media track, to obtain quality indication information carried in the file encapsulation information, the quality indication information being used for representing point cloud quality of the at least one point cloud media track; and selecting and decoding a point cloud media track with designated point cloud quality from the point cloud file according to the quality indication information carried in the file encapsulation information.

Abstract: This application provides a method and an apparatus for interaction processing of a virtual item, an electronic device, and a computer-readable storage medium. The method includes displaying at least one idle virtual item in a virtual scene; moving a first virtual object in the virtual scene in response to a movement operation on the first virtual object; displaying a pickable prompt of the idle virtual item when there is no obstacle between the idle virtual item and the first virtual object; and controlling the first virtual object to pick up the idle virtual item in response to a picking-up operation by the first virtual object.

Abstract: A video decoding method and apparatus, a video encoding method and apparatus, a computer device, and a storage medium, which belong to the field of video processing. The video decoding method includes: performing classification on a displacement vector of a decoded block in a historical motion information list according to a following classification method, the classification method comprising: in a case that the decoded block satisfies a classification condition of any class of a plurality of classes, adding the displacement vector of the decoded block to the class, and stopping performing classification on the displacement vector of the decoded block.

Abstract: This application discloses a clock synchronization system, including a quantum control processor (QCP) and N digital/analog mutual conversion devices, each digital/analog mutual conversion device including a frequency conversion module and a signal synchronization module that includes a D flip-flop (DFF). The QCP generates a global synchronization signal and reference clock signals; and transmits the global synchronization signal and a reference clock signal to the frequency conversion module and transmits the global synchronization signal to the signal synchronization module of each conversion device. The frequency conversion module performs frequency conversion processing on the reference clock signal to obtain a target clock signal, and generates a signal synchronization instruction according to the global synchronization signal; and transmits the signal synchronization instruction and the target clock signal to the signal synchronization module.

Abstract: This application discloses a method, an apparatus, and a storage medium for constructing a simulated vehicle lane change trajectory and control a vehicle based on it. One method includes: determining a target preceding vehicle according to a position of a lane change vehicle; determining target longitudinal traveling data; determining at least one lane change trajectory in a determination of at least one of following conditions: whether lane change condition is met; whether it is determined to continue to change lanes; and controlling the lance change vehicle based on the at least one lane change trajectory.

Abstract: Disclosed in this application are a data packet synchronization method and apparatus, a device, and a storage medium, relating to the field of data communication. The method includes receiving a data packet transmitted by a client, the data packet including a thread identifier and a frame identifier, the thread identifier being added by the client according to a logical operation type required by the data packet, the frame identifier being used for identifying a picture frame triggering the data packet; writing, after the data packet is transmitted to a logical thread corresponding to the thread identifier for a logical operation, a data packet obtained after the operation into a message queue corresponding to the logical thread; and reading the data packet obtained after the operation from the message queue according to the frame identifier, and synchronizing the data packet obtained after the operation to an associated client.

Abstract: A video playing method and apparatus are provided. The method may include transmitting a scenario obtaining request. The scenario obtaining request may be for requesting to obtain scenario information of a first scenario video. The scenario information may include a video address of the first scenario video and n scenario development options. The method may further include playing the first scenario video according to the video address of the first scenario video, obtaining scenario video data corresponding to the n scenario development options during playing the first scenario video, and adding the scenario video data corresponding to the n scenario development options into a buffer list. The method may further include obtaining scenario video data of a second scenario video from the buffer list and playing the second scenario video in response to receiving a selection instruction for a target scenario development option in the n scenario development options.

Abstract: This application provides a feature processing method and apparatus for an artificial intelligence (AI) recommendation model, an electronic device, and a storage medium. The method includes obtaining input data, and converting a data structure of the input data into a uniform sample structure; determining a feature group identifier and a feature extraction function that correspond to the AI recommendation model; extracting a feature group identifier, a feature identifier and a feature value of the input data from the converted input data according to the feature extraction function; and constructing a sample of the AI recommendation model according to the feature group identifier, the feature identifier and the feature value of the input data.

Abstract: A video decoding method, a video encoding method, related devices, and a storage medium are provided. The video decoding method includes: determining a current string to be decoded from a current coding unit of a current image; based on the current string being a unit vector string and the current string including a first pixel, determining a reference pixel of the first pixel from a historical decoding unit in the current image, the historical decoding unit being a decoded coding unit adjacent to the current coding unit in the current image, the reference pixel of the first pixel being adjacent to the first pixel in the current image; and acquiring a predicted value of the first pixel based on a reconstructed value of the reference pixel of the first pixel to obtain a decoded image.