Abstract: This application discloses a method for rendering a projection of a main control object in a virtual environment performed by a computer device and relates to the technical field of animation. The method includes: obtaining an original bone model of the main control object from an animation blueprint of the main control object; obtaining a projection model based on the original bone model and a posture of the main control object; generating a projection of the main control object in the virtual environment based on the projection model; and rendering the projection of the main control object in the virtual environment.

Abstract: An image gaze correction method, apparatus, electronic device, computer-readable storage medium, and computer program product. The image gaze correction method includes: acquiring a to-be-corrected eye image from a to-be-corrected image, generating, based on the to-be-corrected eye image, an eye motion flow field and an eye contour mask, the eye motion flow field being used for adjusting a pixel position in the to-be-corrected eye image, and the eye contour mask being used for indicating a probability that the pixel position in the to-be-corrected eye image belongs to an eye region, performing, based on the eye motion flow field and the eye contour mask, gaze correction processing on the to-be-corrected eye image to obtain a corrected eye image, and generating a gaze corrected image based on the corrected eye image.

Abstract: A data encryption method includes: acquiring target data to be encrypted of a target object and object information corresponding to the target object, the object information including at least one of a face image or an audio signal of the target object; encrypting an object feature corresponding to the object information according to a reference public key, and determining the encrypted object feature as a safety factor of the target data; and encrypting the target data based on the safety factor, to obtain encrypted data corresponding to the target data.

Abstract: Aspects of the disclosure are directed to the field of artificial intelligence technologies and provides a method and an apparatus for obtaining a feature of duct tissue based on computer vision, an intelligent microscope, a storage medium, and a computer device. The method can include the steps of obtaining an image including duct tissue, determining, in an image region corresponding to the duct tissue in the image, at least two feature obtaining regions adapted to duct morphology of the duct tissue, obtaining cell features of cells of the duct tissue in the feature obtaining regions respectively, and obtaining a feature of the duct tissue based on the cell features of the cells of the duct tissue in the feature obtaining regions respectively.

Abstract: A livestreaming video playing method executed by a computer device includes displaying an information flow page including at least one livestreaming video. A video data block of each of the at least one livestreaming video is updated periodically in the information flow page at an update period. The method further includes playing a target video data block of a first livestreaming video of the at least one livestreaming video in response to a playing instruction for the first livestreaming video, obtaining target cache data of the first livestreaming video that belong to historical livestreaming data of the first livestreaming video at a target duration that is before a current livestreaming time point and greater than or equal to the update period, and playing the target cache data after the target video data block ends playing.

Abstract: In a network assistance information providing method, a first request message including a target protocol data unit session identity and unstructured request data is transmitted. The unstructured request data includes a user equipment analytics request prediction cell and is transmitted to a target application function corresponding to the target protocol data unit session identity based on a target analytics identity included in the user equipment analytics request prediction cell. The target application function is configured to transmit the user equipment analytics request prediction cell to a target network data analytics function. A first notification message including the target protocol data unit session identity and unstructured response data is received.

Abstract: A cooperative vehicle-infrastructure processing method and apparatus, an electronic device, and a computer-readable storage medium are disclosed in embodiments of this application.

Abstract: Embodiments of this application disclose a palm print recognition method, a method for training a feature extraction model, a device, and a storage medium, and belong to the field of computer technologies. The method includes: obtaining sample hand images for each of a plurality of sample user identifiers, at least two of the sample hand images associated with the each of the plurality of sample user identifier being acquired from image acquisition devices having different image acquisition characteristics; calling a feature extraction model to extract sample palm print features of the plurality of sample user identifiers; and adjusting the feature extraction model according to the sample palm print features of the plurality of sample user identifiers.

Abstract: This application provides a multimedia data processing method performed by an electronic device, and a non-transitory computer-readable storage medium. The method includes: receiving, by an electronic device in a first wireless communication frequency band, a wakeup instruction transmitted by a server through a wireless network transmission device; performing data acquisition on an environment of the electronic device according to the wakeup instruction, to obtain multimedia data; and transmitting the multimedia data to the wireless network transmission device in a second wireless communication frequency band, and then transmitting the multimedia data to a terminal through the wireless network transmission device, frequencies of the first wireless communication frequency band being less than frequencies of the second wireless communication frequency band.

Abstract: An operation prompting method includes: in accordance with a determination that an aiming point is located in an area of a body of a target virtual object: determine a first distance that moves the aiming point out of the area of the body of the target virtual object; determining a second distance of an expected movement distance of the target virtual object relative to the aiming point in an attack preparation duration; and performing an attack prompt when the first distance is greater than the second distance, which indicates that the aiming point does not move out of the area of the body of the target virtual object within the attack preparation duration, and a user can perform an attack operation in time so that the attack operation hits the virtual object. Therefore, the terminal performs the attack prompt to prompt the user to perform the attack operation.

Abstract: A method includes displaying a virtual scene, a first virtual prop and a second virtual prop being displayed with the virtual scene, and displaying exchange prompt information on the second virtual prop in response to a first triggering operation for the first virtual prop. The exchange prompt information indicates that the second virtual prop is exchangeable with the first virtual prop. The method further includes, in response to a dragging operation causing a position of the first virtual prop to meet a condition, switching positions of the first virtual prop and the second virtual prop displayed with the virtual scene.

Abstract: Improved accuracy of data encryption can be achieved with dynamic expansion according to the traffic volume of a user. A processing server transmits a key identifier to a hardware security module server which obtains a root key corresponding to the key identifier and encrypts the root key to generate a master key. The master key is encrypted to generate a data key, and the to-be-encrypted data is encrypted using the data key to generate encrypted data. The processing server can accurately and effectively encrypt data, improving the accuracy of data encryption and the security of data processing.

Abstract: This application relates to a leg assembly and device for a robot. The leg assembly includes: a connection assembly and a sole assembly; the connection assembly is configured to connect the leg assembly and a robot body. The sole assembly includes a sole plate, a first force sensor, a distance sensor, and an attitude sensor. The connection assembly includes a second force sensor and a shank connector. The first force sensor is configured to detect a normal reaction force suffered by the sole plate after being in contact with an obstacle; the second force sensor is configured to detect a resultant force of reaction forces suffered by the sole plate after being in contact with the obstacle.

Abstract: This disclosure relates to video coding with a block-level window size update for arithmetic coding. A probability update rate may be a function of count of appearances for the associated syntax/context when parsing a bitstream. It may also be a function of a number of different symbol values for the associated syntax/context. The value of the count is restarted with a pre-defined value at block-level. The probability or cumulative distribution function (CDF) update rate for a particular syntax/context may be reinitialized with a pre-defined value at block level.

Abstract: A computer device obtains a medical image set. The device identifies a difference between the reference medical image and the target medical image to obtain a candidate non-lesion region in the target medical image. The device determines area size information of the candidate non-lesion region as candidate area size information. The device adjusts the candidate non-lesion region according to the annotated area size information when the candidate area size information does not match the annotated area size information, so as to obtain a target non-lesion region in the target medical image.

Abstract: Embodiments of this application provide a face image verification method performed by an electronic device, and a storage medium. In the embodiments of this application, a face image transmitted by a target device is received; then a residual fingerprint of the face image is extracted; then the device fingerprint information corresponding to the target device is obtained from a fingerprint information library, the fingerprint information library containing device fingerprint information corresponding to at least one verified device; then a device fingerprint component corresponding to the residual fingerprint information is obtained from the device fingerprint information according to position indication information of the face image, and a degree of correlation between the residual fingerprint information and the device fingerprint component is calculated; and when the degree of correlation is greater than or equal to the preset threshold, it is determined that the face image passes verification.

Abstract: Content-adaptive online training for end-to-end (E2E) neural image compression (NIC) using a neural network performed by at least one processor, is provided, including receiving an input image, to an E2E NIC framework, including one or more blocks, preprocessing a first neural network of the E2E NIC framework, based on the one or more blocks, computing updated parameters using the preprocessed first neural network, encoding the one or more blocks and the updated parameters, updating the first neural network based on the encoded updated parameters, and generating a compressed representation of the encoded one or more blocks using the updated first neural network.

Abstract: The various implementations described herein include methods and systems for coding video. In one aspect, a video bitstream includes a current coding block of an image frame and a syntax element for a cross-component intra prediction mode. A first chroma sample is generated by combining a first luma sample co-located with the first chroma sample and its associated neighboring luma samples using a plurality of weighing factors. The method includes extracting at least one of weighing factors from the video bitstream, and deriving the at least another weighing factor. The method further includes combining the first luma sample and the neighboring luma samples based on the at least one weighing factor that is signaled in the video bitstream and the at least another weighing factor that is not signaled in the video bitstream to generate the first chroma sample, which is applied to reconstruct the current coding block.

Abstract: A virtual object control method is performed by a computer device. The method includes: displaying a virtual scene picture corresponding to a virtual scene, the virtual scene including a first virtual object; controlling the first virtual object to launch a target virtual projectile, the target virtual projectile being configured to trigger a virtual gravitational source in the virtual scene; and, when a distance between a second virtual object and the virtual gravitational source is less than a distance threshold, controlling the second virtual object to move toward the virtual gravitational source. This solution provides a method for quickly gathering second virtual objects to a specified position, so as to realize control on a plurality of second virtual objects by a first virtual object, and shorten a duration of a single-round battle, thereby reducing the power consumption of a terminal and saving data traffic.

Abstract: Provided is an image rendering method performed by a computer device, the method including: determining a vertex coordinate of a virtual texture tile corresponding to an image in a virtual texture; loading, through a vertex shader, a physical texture corresponding to the vertex coordinate to a texture cache; determining, through the vertex shader for each rendering child tile in the virtual texture tile corresponding to the vertex coordinate, a physical texture coordinate corresponding to each rendering child tile in the texture cache, and transmitting the physical texture coordinate to a pixel shader; and sampling, through the pixel shader, a texel matched with the physical texture coordinate from the physical texture in the texture cache, and rendering, based on the texel, the image.