Abstract: A data transmission method includes receiving access stratum context information, the access stratum context information indicating that different types of data packets of an advanced interactive service are transmitted in different GTP-U tunnels, and are transmitted by a same DRB. The method also includes, when a data packet transmitted by a user-plane functional entity through a GTP-U tunnel is a fragmented subpacket of a first data packet of the advanced interactive service, determining a state of transmission of the fragmented subpacket according to the access stratum context information during transmission of the fragmented subpacket to a user equipment on the DRB. The method also includes, when the transmission of the fragmented subpacket of the first data packet of the advanced interactive service to the user equipment has failed, stopping transmission of remaining fragmented subpackets of data packets associated with the first data packet to the user equipment.

Abstract: A data storage method and apparatus, an electronic device, a non-transitory computer-readable storage medium, and a computer program product are provided. The method includes: receiving a storage request carrying multimedia data transmitted by a target device, storing multimedia data in local space of a target storage node, and generating a target storage proof of the multimedia data, the target storage proof indicating that the target storage node has stored the multimedia data, and transmitting the target storage proof to a consensus node, to cause the consensus node, after receiving an uploading request about the multimedia data transmitted by the target device, to perform consensus verification on the multimedia data according to the target storage proof, and store a data identifier of the multimedia data that passes the consensus verification in a blockchain of the consensus node.

Abstract: An image processing method includes performing additional image feature extraction on a training source face image to obtain a source additional image feature, performing identity feature extraction on the training source face image to obtain a source identity feature, inputting a training template face image into an encoder in a to-be-trained face swapping model to obtain a face attribute feature, inputting the source additional image feature, the source identity feature, and the face attribute feature into a decoder in the face swapping model for decoding to obtain a decoded face image, obtaining a target model loss value based on an additional image difference between the decoded face image and a comparative face image, and adjusting the model parameters of the encoder and the decoder based on the target model loss value to obtain the trained face swapping model.

Abstract: A method for route planning includes acquiring a route origin and a route destination, and transmitting, to a route planning server, a route planning request that includes the route origin and the route destination, the route planning request is associated with a travel entity with historical travel information available at the route planning server. Further, the method includes receiving at least one planned route. The at least one planned route includes a first planned route with a familiar route portion determined based on a historical travel route of the travel entity, the first planned route includes the route origin, the familiar route portion with an origin skeleton point and a destination skeleton point, and the route destination, a first distance between the route origin and the origin skeleton point, and a second distance between the route destination and the destination skeleton point are within a preset range.

Abstract: A driving assistance processing method is provided. In the method, location information and traveling status information of a plurality of vehicle terminals are obtained. A forward collision warning (FCW) message is generated in response to detecting that a specified vehicle terminal of the plurality of vehicle terminals has a potential collision risk. The potential collision risk is detected based on the location information of at least the specified vehicle terminal and the traveling status information of at least the specified vehicle terminal. A transmission mode of the FCW message is determined based on communication capabilities of the plurality of vehicle terminals included in an FCW vehicle set of the specified vehicle terminal. The FCW message is transmitted to the plurality of vehicle terminals included in the FCW vehicle set in the determined transmission mode. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

Abstract: An information processing method and apparatus, a computer device, and a storage medium are disclosed. In the method, a request to perform a payment operation is received. A service page is displayed and an image of at least one part of a user is captured, in response to the request to perform the payment operation. Authentication of the user is performed based on the captured image of the at least one part of the user. While the authentication of the user is performed, a graphical representation of the at least one part of the user that is generated based on the captured image of the at least one part of the user is displayed. The graphical representation is unique to the user. The payment operation is performed when the user is authenticated based on the captured image of the at least one part of the user.

Abstract: A session message generation method, apparatus and device and storage medium. The method includes: acquiring historical session messages between a session robot and a target user in the current man-machine session process and a session reference information set related to a session topic when it is detected that there is a trigger event in the current man-machine session process; determining a target session role of the session robot at the time of performing a message input operation according to the historical session messages and the session reference information set; and generating a target session message corresponding to the target session role based on the historical session messages and the session reference information set, and outputting the target session message.

Abstract: A video clipping method is provided. In the method, a game video and game event data corresponding to the game video are obtained in response to receiving a video clipping request. Clipping reference information corresponding to one or more target game events in the game video is determined according to the game event data. An initial clipped video is generated. The initial clipped video includes at least one video clip from the game video based on the clipping reference information. A target clipped video is generated based on the initial clipped video and a special effect type that is determined to correspond to each of at least one target game event of the one or more target game events.

Abstract: A multimedia resource classification model training method includes acquiring an attribute information set and a training label set of training multimedia resources. The method further includes inputting the attribute information set into a multimedia resource classification model that includes a plurality of feature sub-networks and a plurality of task sub-networks. The multimedia resource classification model is configured to classify quality of multimedia resources. The method further includes vectorizing the attribute information to obtain attribute feature vectors and inputting the obtained attribute feature vectors into the plurality of task sub-networks to obtain prediction labels corresponding to the plurality tasks.

Abstract: An image data processing method is provided. In the method, a first image data set that includes image data arranged according to a first data format is acquired. The first data format has a first number of dimensions. Interleaving and rearrangement are performed on the image data in the first image data set based on a convolution operation to obtain a second image data set. The image data in the second image data set is arranged according to a second data format. The second data format has a second number of dimensions. The second number of dimensions of the second data format is less than first number of dimensions of the first data format. A target output result is generated based on the convolution operation performed on the second image data set and a second weight data set. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

Abstract: A resource allocation method and apparatus, a readable medium, an electronic device and a program product are provided.

Abstract: An image detection method includes obtaining a facial image, and obtaining a frequency-domain image of the facial image and a spatial-domain feature of the facial image, the frequency-domain image being obtained by performing frequency-domain transformation on the facial image. The spatial-domain feature is obtained by performing feature extraction on the facial image. The method further includes performing feature extraction based on the frequency-domain image, to obtain a frequency-domain feature of the facial image, and fusing the spatial-domain feature and the frequency-domain feature by using an attention fusion network of a facial image detection model, to obtain a fused feature of the facial image. The method further includes obtaining a detection result of the facial image based on the fused feature, the detection result indicating whether the facial image is a forged facial image.

Abstract: A method for content recognition includes acquiring, from a content for recognition, a text piece and a media piece associated with the text piece, performing a first feature extraction on the text piece to obtain text features, performing a second feature extraction on the media piece associated with the text piece to obtain media features, and determining feature association measures between the media features and the text features. A feature association measure for a first feature in the media features and a second feature in the text features indicating an association degree between the first feature and the second feature. The method further includes adjusting the text features based on the feature association measures to obtain adjusted text features, and performing a recognition based on the adjusted text features to obtain a content recognition result of the content. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

Abstract: A method for controlling a virtual vehicle includes displaying, on a graphical user interface, a virtual vehicle in a virtual environment, and controlling the virtual vehicle to drive in the virtual environment in response to a control operation input into the graphical user interface. The method further includes determining whether movement of the virtual vehicle in the graphical user interface based on the control operation meets a predefined condition, and, in response to a determination that the movement of the virtual vehicle in response to the control operation meets the predefined condition, controlling the virtual vehicle independently of the control operation to move away from a road boundary.

Abstract: A data transmission method includes receiving, by a gateway of an integration platform as a service (iPaaS) system, a data transmission request transmitted by the iPaaS system, the iPaaS system being deployed on a first virtual private cloud (VPC) in a cloud network. The method further includes determining an address identifier of the service to be accessed by the iPaaS system, and a first transmission connection between the gateway and a data transmission circuitry associated with the service. The data transmission circuitry is connected to an Intranet, and the service is deployed in the Intranet or in a second VPC. The method further includes transmitting the data transmission request and the address identifier of the service from the gateway to the data transmission circuitry through the first transmission connection, where the data transmission circuitry transmits the data transmission request of the iPaaS system to the service.

Abstract: An application control method includes: acquiring a multimedia resource, the multimedia resource being based on historical data of an account that is logged into a second application, the account being the same as an account that is logged into a first application; and acquiring an operation instruction for the first application, executing the operation instruction in the first application, and displaying the multimedia resource.

Abstract: A video encoding code rate control method of a terminal device is provided. A space domain complexity and a time domain complexity of a first picture frame in a video stream are obtained. A first target bit of the first picture frame is updated to a second target bit according to the space domain complexity and the time domain complexity. A first initial quantization parameter of the first picture frame is updated to a second initial quantization parameter according to the space domain complexity and the time domain complexity. A compressed code stream of the first picture frame is generated according to the second target bit and the second initial quantization parameter.

Abstract: Embodiments of this disclosure include an image obtaining method and apparatus, a server, and a storage medium. In the method, a target application process corresponding to a user identifier is obtained, by processing circuitry, from an application process set. A plurality of window image data that is currently generated is obtained, via a data obtaining module, when an image rendering function in the target application process is called. Image synthesis processing is performed on the plurality of window image data, to obtain a user interface image to be displayed. Further, a notification message that includes the user interface image is transmitted to a user terminal corresponding to the user identifier for display on a user interface.

Abstract: This application disclose an artificial intelligence (AI) based animation character drive method. A first expression base of a first animation character corresponding to a speaker is determined by acquiring media data including a facial expression change when the speaker says a speech, and the first expression base may reflect different expressions of the first animation character. After target text information is obtained, an acoustic feature and a target expression parameter corresponding to the target text information are determined according to the target text information, the foregoing acquired media data, and the first expression base. A second animation character having a second expression base may be driven according to the acoustic feature and the target expression parameter, so that the second animation character may simulate the speaker's sound and facial expression when saying the target text information, thereby improving experience of interaction between the user and the animation character.

Abstract: Embodiments of this application disclose a method for determining camera pose information of a camera of a mobile terminal. The method includes: obtaining a first image, a second image, and a template image, the first image being a previous frame of image of the second image, the first image and the second image being images including a respective instance of the template image captured by the mobile terminal using the camera at a corresponding spatial position; determining a first homography between the template image and the second image; determining a second homography between the first image and the second image; and performing complementary filtering processing on the first homography and the second homography, to obtain camera pose information of the camera, wherein the camera pose information of the camera represents a spatial position of the mobile terminal when the mobile terminal captures the second image using the camera.