Abstract: An image search method is provided. In the method, an image selection page of a messaging application is displayed. An input image for a search is determined based on an operation performed by a user on the image selection page. A search is performed for at least one output image similar to the input image based on a plurality of types of image characteristics that indicate levels of similarity between images. Each of the ay least one output image is determined to be similar to the input image based on at least one of the types of image characteristics. A search result list is generated according to the at least one output image. Further, the search result list is displayed.

Abstract: The disclosure discloses a method and an apparatus for training a dialog generation model, and a dialog generation method and apparatus, and relates to the field of artificial intelligence. The method includes: encoding a context sample to obtain a first latent variable, and recognizing the first latent variable to obtain a prior latent variable; encoding a response sample to obtain a second latent variable; encoding a response similar sample to obtain a third latent variable; performing recognition according to a Gaussian mixture distribution of the first latent variable, the second latent variable, and the third latent variable to obtain a posterior latent variable; and matching the prior latent variable with the posterior latent variable, and performing adversarial training on a dialog generation model.

Abstract: A method for data transmission, performed by a first device, such as a User Equipment (UE) or a User Plane Function (UPF) network element, is provided. The method includes: obtaining transmission data; determining, according to network type information included in an extended Ethernet packet filter set, that the transmission data is Time Sensitive Communication (TSC) data; determining a transmission characteristic of the TSC data according to the extended Ethernet packet filter set; and mapping, according to the transmission characteristic, the TSC data to a Quality of Service (QoS) flow corresponding to the transmission characteristic for transmission; and transmitting the TSC data based on the QoS flow.

Abstract: This application provides a data processing method and apparatus, a non-transitory computer-readable storage medium, and an electronic apparatus. The method includes the following steps: A server obtains stream control signaling transmitted by an interface machine, the interface machine being configured to obtain, from the server, audio and video data to be transmitted to a client. The server obtains, in response to the stream control signaling, a first transmission rate from the server to the interface machine. The server transmits audio data to the interface machine if the first rate is less than a first predetermined threshold, and discards video data in the same GOP as the audio data.

Abstract: A game server switching method, applied to a game server switching system, is provided, the game server switching system including a load balancer, a network-layer access subsystem, a network-layer proxy subsystem, a game logic subsystem, and a role login management server. A communication connection is established between the network-layer access subsystem and the second game server based on the route switching request message. A write-back request is sent by the first game server to the role login management server. User role data are sent by the role login management server to the second game server based on the write-back request. In response to obtaining the user role data from the role login management server, the game data are sent by the second game server to the game client by using the network-layer proxy subsystem, the network-layer access subsystem, and the load balancer.

Abstract: This disclosure discloses a fault tolerant and error correction decoding method and apparatus for a quantum circuit, and a chip. This disclosure relates to the field of artificial intelligence (AI) and quantum technologies. The method includes: obtaining actual error syndrome information of a quantum circuit by performing a noisy error syndrome measurement on the quantum circuit by using a quantum error correction (QEC) code; decoding the actual error syndrome information to obtain a logic error class and perfect error syndrome information that correspond to the actual error syndrome information; and determining error result information of the quantum circuit based on the logic error class and the perfect error syndrome information, the error result information being indicative of a data qubit in which an error occurs in the quantum circuit and a corresponding error class.

Abstract: Embodiments of this disclosure include an interface display method and apparatus. The method may include displaying a multi-task floating window in front of a user interface of the terminal and displaying a task floating window set in response to receiving a trigger signal corresponding to the multi-task floating window. The task floating window set may include at least one single-task floating window. One single-task floating window may be corresponding to one task. The method may further include receiving a selection instruction corresponding to a first single-task floating window in the task floating window set and displaying a user interface of a first task corresponding to the first single-task floating window.

Abstract: Embodiments of this application disclose a sticker presentation method performed at a first terminal. The first terminal moves, after obtaining a drag instruction for a selected target sticker in a sticker selection window, the target sticker according to an obtained drag track, and displays a drop prompt message when moving the target sticker. After obtaining a drag stop instruction for the target sticker in a message presentation interface, the first terminal presents the target sticker at a first target location at which drag stops after receiving a drop confirmation instruction triggered by the drop prompt message. In the embodiments of this application, when a sticker is presented, the sticker is randomly dropped on a message presentation interface. Such a sticker presentation manner is more vivid, interaction manners are more diversified, and a display effect is good.

Abstract: An information interception method, a terminal, and a computer storage medium are disclosed.

Abstract: This application discloses a method implemented at a server to facilitate secure offline transactions. The server receives, from a client device, an authorization request that includes a user identifier, first financial account information and a secure code. The server authenticates the authorization request, and sends a first transaction approval to the client device. Then, in accordance with the information received in the authorization request, the server facilitates a secure transaction between the client device and a point-of-sale (POS) machine while the client device is offline. Specifically, the server receives, from the POS machine, a transaction request that includes at least the user identifier and the security code. The server retrieves the first financial account information from a memory according to the user identifier and the security code, performs a transaction operation associated with the first financial account information, and sends a second transaction approval to the POS machine.

Abstract: A method of cleaning up a virus program, in an electronic terminal including at least one processor, is provided. An operable interface is displayed on a terminal locked page in response to a first operation instruction on the terminal locked page, the terminal locked page being a page of the virus program and displayed on a screen of the electronic terminal. A second operation instruction on the operable interface is obtained, and identifier information of the virus program is obtained in response to the second operation instruction. The virus program is controlled to run by displaying an auxiliary page on the screen of the electronic terminal in a bring-to-front manner. The virus program is cleaned up based on the identifier information.

Abstract: This application relates to a video decoding method performed at a computer device. The method includes: obtaining encoded data corresponding to a current video frame; obtaining a processing parameter corresponding to the current video frame; determining a target processing manner corresponding to the current video frame according to the processing parameter, the target processing manner being one of candidate processing manners, the candidate processing manners comprising at least one of a full resolution processing manner and a downsampling processing manner, and the processing parameter being consistent with a corresponding processing parameter in an encoding process; and decoding the encoded data corresponding to the current video frame according to the target processing manner, to obtain a corresponding decoded video frame. In the encoding method, a processing manner for a video frame can be flexibly selected, thereby improving video encoding quality in the case of limited bandwidth.

Abstract: This application discloses a repositioning method performed by an electronic device in a camera pose tracking process, belonging to the field of augmented reality (AR). The method includes: obtaining a current image acquired by the camera after an ith anchor image in a plurality of anchor images; obtaining an initial feature point and an initial pose parameter in a first anchor image in the plurality of anchor images in a case that the current image satisfies a repositioning condition; performing feature point tracking on the current image relative to the first anchor image, to obtain a target feature point; calculating a pose change amount of a camera from a first camera pose to a target camera pose according to the initial feature point and the target feature point; and performing repositioning according to the initial pose parameter and the pose change amount to obtain a target pose parameter.

Abstract: A gesture language recognition method is provided. In the method, a first video is obtained. Gesture features are extracted from frames of images in the first video. Gesture change features are extracted from the frames of the images in the first video. Gesture language word information is extracted from fused features that are determined based on the gesture features and the gesture change features. The gesture language word information is combined into a gesture language sentence according to context information corresponding to the gesture language word information.

Abstract: A medical endoscope image recognition method is provided. In the method, endoscope images are received from a medical endoscope. The endoscope images are filtered with a neural network, to obtain target endoscope images. Organ information corresponding to the target endoscope images is recognized via the neural network. An imaging type of the target endoscope images is identified according to the corresponding organ information with a classification network. A lesion region in the target endoscope images is localized according to an organ part indicated by the organ information. A lesion category of the lesion region in an image capture mode of the medical endoscope corresponding to the imaging type is identified.

Abstract: A method for controlling a virtual object and a related apparatus are disclosed. The method includes: displaying a user interface (UI), the UI including a virtual environment image and an interactive panel region, the virtual environment image being an image in which a virtual environment is observed; receiving a preset operation in a target region in the UI, the target region including a region pertaining to the virtual environment image but not pertaining to the interactive panel region; and controlling the virtual object according to the preset operation to perform a corresponding motion in the virtual environment.

Abstract: A speech processing method, performed by an electronic device, includes determining a first speech feature and a first text bottleneck feature based on to-be-processed speech information, determining a first combined feature vector based on the first speech feature and the first text bottleneck feature, inputting the first combined feature vector to a trained unidirectional long short-term memory (LSTM) model, performing speech processing on the first combined feature vector to obtain speech information after noise reduction, and transmitting the obtained speech information after noise reduction to another electronic device for playing.

Abstract: A multicast method, apparatus, device, and system for a multicast group of a virtual network group are provided. The method includes: receiving a multicast data packet transmitted by a member of the virtual network group, a destination address of the multicast data packet being a multicast address; transmitting the multicast data packet to at least one target internal multicast interface, which is a dedicated interface for a multicast session; and transmitting the multicast data packet to all members or all local multicast group members of the virtual network group through the at least one target internal multicast interface. The disclosure implements multicast communication in a 5G virtual network (VN).

Abstract: A data processing method is provided. In the data processing method, target sequence data is obtained. The target sequence data includes N groups of data sorted in chronological order. Processing is performed, according to an ith group of data in the N groups of data, processing results of a target neural network model for the ith group of data, and a processing result of the target neural network model for a jth piece of data in an (i+1)th group of data, a (j+1)th piece of data in the (i+1)th group of data by using the target neural network model, to obtain a processing result of the target neural network model for the (j+1)th piece of data in the (i+1)th group of data, i being greater than or equal to 1 and less than N, and j being greater than or equal to 1 and less than Q.

Abstract: A method by a network device for outputting a virtual application object includes acquiring current status information of a plurality of virtual application objects in a virtual application, the current status information indicating that a virtual application object is in a known state or in an unknown state, constructing a virtual application object status plane based on the current status information of the plurality of virtual application objects, where the virtual application object status plane includes a region corresponding to each virtual application object, the region includes the current status information of the corresponding virtual application object, determining, based on the virtual application object status plane, output probabilities corresponding to a plurality of to-be-outputted virtual application objects, and determining, based the output probabilities corresponding to the plurality of to-be-outputted virtual application objects, a target virtual application object from the plurality of t