Abstract: An information verification method based on a cloud security technology is provided. Before transmitting to-be-verified information including user information, a terminal device performs encryption processing on the to-be-verified information by using random numbers and a public key issued by a verification server, to obtain to-be-verified ciphertext information, which is to be used throughout transmission for logging into a server of a third-party application. The server of the third-party application cannot decrypt the to-be-verified information and the to-be-verified information may be obtained only by the verification server. The verification server transmits an application login success message to the terminal device based on decryption processing on the to-be-verified ciphertext information. In this way, the server of the third-party application may be logged in to without exposing privacy information of a user to the third-party application, thereby improving the security of identity verification.

Abstract: This application discloses a video data processing method and apparatus, a computer device, and a storage medium, and belongs to the field of video processing technologies. According to this application, when a second video is embedded into a target sub-image of a first video, a position movement of the target sub-image in the first video is obtained based on an artificial intelligence technology. According to the position movement, motion blur processing is performed on the picture of the second video correspondingly, so that the second video, after being embedded into the first video, will have the same motion blur effect as the target sub-image in the first video. Therefore, the first video and the second video can be better fused, and a better video transition effect can be obtained.

Abstract: A speech signal dereverberation processing method includes extracting an amplitude spectrum feature and a phase spectrum feature of a current frame in an original speech signal, extracting subband amplitude spectrums from the amplitude spectrum feature corresponding to the current frame, determining, based on the subband amplitude spectrums and by using a first reverberation predictor, a reverberation strength indicator corresponding to the current frame, and determining, based on the subband amplitude spectrums and the reverberation strength indicator, and by using a second reverberation predictor, a clean speech subband spectrum corresponding to the current frame.

Abstract: Aspects of the disclosure are directed to a method for use on a blockchain network that includes an accounting node subnetwork having accounting nodes configured to record a data block onto a blockchain and a service node having service nodes configured to verify data blocks recorded by the accounting nodes onto the blockchain. The method can include generating a signature based on transaction information to be included in a data block to be added onto the blockchain by using a key specific to the accounting node. The method can further include adding the transaction information and the generated signature to the data block and adding the data block onto the blockchain, and transmitting the signature to the service nodes in the service node subnetwork, so that the service nodes perform signature verification on the signature based on the key specific to the accounting node.

Abstract: A method, an apparatus and a storage medium for constructing a three-dimensional (3D) facial mesh using artificial intelligence is disclosed. The method includes: obtaining a facial point cloud of a target object; determining, through an expansion calculation, pixel coordinates on a facial texture image of the target object that correspond to 3D data points in the facial point cloud, as index information of the 3D data points; performing triangulation on pixels on the facial texture image to obtain triangulation information; constructing an initial 3D facial mesh according to the triangulation information, the index information, and the facial point cloud; determining a non-core region in the initial 3D facial mesh; smoothing the non-core region in the initial 3D facial mesh; and replacing the non-core region in the initial 3D facial mesh with the smoothed non-core region to obtain a 3D facial mesh of the target object.

Abstract: This application relates to an illumination rendering method performed by a computer device. The method include: determining light source change information when a light source changes in a virtual scene; determining a current light source projection coefficient corresponding to the changed light source according to the light source change information; determining an indirect illumination value of a target pixel point in the virtual scene according to a radiance transfer parameter corresponding to the target pixel point in the virtual scene and the current light source projection coefficient; determining a direct illumination value corresponding to the target pixel point under the changed light source; and performing illumination rendering on the target pixel point according to the direct illumination value and the indirect illumination value.

Abstract: Embodiments of this application provide a data processing method performed by a computer device, where the method includes: obtaining, in response to a login trigger event for a target application at a terminal device, an environment identification parameter used for identifying a running environment of the target application at the terminal device; obtaining, according to the environment identification parameter, a login entry information set related to the target application from an application server, the login entry information set including login entry information of login platforms of at least two operating systems; rendering login entry options of the login platforms of the at least two operating systems according to login entry information in the login entry information set; and returning the rendered login entry options to the terminal device for display in a user interface at the terminal device.

Abstract: This disclosure is related to an image generation method and apparatus. The method includes: obtaining a first body image including a target body and a first clothes image including target clothes; transforming the first clothes image based on a posture of the target body in the first body image to obtain a second clothes image, the second clothes image including the target clothes, and a posture of the target clothes matching the posture of the target body; performing feature extraction on the second clothes image, an image of a bare area in the first body image, and the first body image to obtain a clothes feature, a skin feature, and a body feature respectively; and generating a second body image based on the clothes feature, the skin feature, and the body feature, the target body in the second body image wearing the target clothes.

Abstract: This application discloses an operation control method performed at a computer device. The method includes: detecting a target distance between a first virtual object and a second virtual object in a racing game, a position of the first virtual object being located behind a position of the second virtual object in the racing game; when a duration for which the target distance is less than or equal to a first distance threshold has reached a first time threshold: performing an acceleration operation on the first virtual object according to an increased driving control force; and updating the first virtual object from a first rendering effect to a second rendering effect.

Abstract: A video decoding method includes obtaining a current video frame and determining a region of interest (ROI) of the current video frame. The method also includes decoding the ROI by using a first resolution, and decoding at least other regions of the current video frame than the ROI by using second resolutions, the first resolution being higher than the second resolution.

Abstract: A method includes: obtaining current motion state data of the wheel-legged robot, the current motion state data representing motion features of the wheel-legged robot, inputting the current motion state data into a nonlinear controller to obtain a target joint angular acceleration reference value of a target robot joint of the wheel-legged robot, and inputting the target joint angular acceleration reference value into a whole-body dynamics controller to output a joint torque for controlling the wheel-legged robot to perform a control task.

Abstract: A data transmission optimization method, performed by a first application layer transmission optimization (ALTO) client, includes: obtaining, from a core network device, network transmission information of an access network exposed by an access network device to the core network device; obtaining ALTO information provided by an ALTO server; and performing data transmission optimization of the first ALTO client based on the ALTO information and the network transmission information of the access network.

Abstract: A remote driving control method includes: obtaining vehicle status data of a vehicle and environmental data of a road condition of the vehicle; determining first data for making driving decisions and second data for constructing a simulated environment corresponding to the road condition, based on the vehicle status data and the environmental data; transmitting the first data to a remote driving server; transmitting the second data to a target server, the target server and the remote driving server being connected via a network; receiving a first vehicle control instruction from the remote driving server; and transmitting the first vehicle control instruction to the vehicle, wherein the first vehicle control instruction is generated based on the first data and driving assistance information transmitted from the target server, and wherein the driving assistance information is generated based on the constructed simulated environment.

Abstract: Disclosed is a text sentence processing method performed by a computer device, including: acquiring sample text sentences including entity pairs and relationship labels of the entity pairs; extracting positive and negative example sentence pairs from the sample text sentences according to the relationship labels, and performing positive-negative example sampling, to obtain a training set; inputting the training set into a relationship extraction model to generate loss values; and adjusting parameters of the relationship extraction model according to the loss values, and repeating the step of extracting positive and negative example sentence pairs from the sample text sentences according to the relationship labels to perform iterative training of the relationship extraction model until a training end condition is met, to obtain an updated relationship extraction model, the relationship extraction model being configured to identify an entity relationship of an entity pair in an input text sentence.

Abstract: Disclosed is a method for accessing software applications. The method includes obtaining an application access request, the application access request carrying a user identifier and an application identifier; acquiring an encryption key, and encrypting the user identifier by the encryption key, to obtain an encrypted user identifier, the encryption key carrying first key information and second key information; generating an authorization credential corresponding to the application access request according to the encrypted user identifier and the first key information; transmitting the authorization credential to the application that is to be accessed, the application that is to be accessed generating an authorization request based on the authorization credential; receiving the authorization request returned by the application that is to be accessed; and accessing, when the authorization request satisfies a preset condition, the application that is to be accessed based on the second key information.

Abstract: A method of living body detection includes generating a detection interface in response to a receipt of a living body detection request for a verification of a detection object. The detection interface includes a first region with a viewing target for the detection object to track, a position of the first region in the detection interface changes during a detection time according to a first sequence of a position change of the first region. The method also includes receiving a video stream that is captured during the detection time, determining a second sequence of a sight line change of the detection object based on the video stream, and determining that the detection object is a living body at least partially based on the second sequence of the sight line change of the detection object matching the first sequence of the position change of the first region.

Abstract: This application discloses a navigation processing method and apparatus, a server, and an intelligent terminal. The method includes obtaining drawn route information, the drawn route information comprising N initial location points confirmed according to an electronic map, the N initial location points being determined according to a trajectory drawn based on a sliding operation on an interactive interface where the electronic map is displayed, and N being a positive integer; matching the N initial location points with road network information to obtain associated road information, the associated road information comprising M associated location points and L associated links, and M and L being positive integers; obtaining a location similarity between the N initial location points and the M associated location points; and determining a target navigation route corresponding to the drawn route information according to the L associated links when the location similarity meets a navigation condition.

Abstract: A keyboard input method and system, the method including obtaining inputted information of a current input keyboard, and determining a first type of the current input keyboard based on the inputted information, loading, based on the first type being inconsistent with a second type of a previous input keyboard used during a previously performed input operation, a system word vocabulary and a conversion algorithm model that correspond to the first type from a library, obtaining user entry information corresponding to the inputted information from a user lexicon that has been loaded, obtaining system entry information corresponding to the inputted information from the system word vocabulary, and determining a list of to-be-selected entries corresponding to the inputted information according to the user entry information, the system entry information, and the conversion algorithm model, and outputting the list of to-be-selected entries.

Abstract: This application provides a protein structure information prediction method and apparatus, a device, and a storage medium, and relates to the field of biological information technologies. The method includes: performing sequence alignment query in a first database according to an amino acid sequence of a protein to obtain multi-sequence aligned data; performing feature extraction on the multi-sequence aligned data to obtain an initial sequence feature; processing the initial sequence feature by using a sequence feature augmentation model to obtain an augmented sequence feature of the protein; and predicting structure information of the protein according to the augmented sequence feature. When the structure information of the protein is predicted based on artificial intelligence (AI), the foregoing solution can improve the prediction efficiency of protein structure information while ensuring the prediction accuracy of the protein structure information.

Abstract: A method for controlling movement of a virtual object in a virtual environment is performed at a terminal.