Abstract: An audio event detection method including performing a framing processing on an audio to obtain audio data for each time period in the audio and extracting a specified feature vector from the audio data of each time period; inputting the specified feature vector of the audio data to a Recurrent Neural Network/Bidirectional Recurrent Neural Network (RNN/BI-RNN) model, to obtain a posterior probability of each pre-set audio event in the audio data of each time period; obtaining, for each time period, a target audio event of the audio data according to the posterior probability of each audio event in the audio data and a pre-set audio decoding algorithm; and extracting an optimal audio data sequence of the target audio event from the audio data of each time period.

Abstract: A method of processing a database configuration parameter, performed by a computer device, is provided. The method includes: (a) obtaining a current configuration parameter of a database; (b) determining a current database state indicator value corresponding to the current configuration parameter; (c) generating, by using a parameter adjustment model, parameter adjustment data based on the current database state indicator value; (d) adjusting the current configuration parameter based on the parameter adjustment data, to obtain a new configuration parameter; (e) updating the current configuration parameter to the new configuration parameter; and (f) repeating operations (b)-(e) until an adjustment termination condition is met, to obtain the updated current configuration parameter as a recommended configuration parameter upon adjustment termination.

Abstract: An image processing method performed by a terminal is provided. A molybdenum target image is obtained, and a plurality of candidate regions are extracted from the molybdenum target image. In the molybdenum target image, a target region is marked in the plurality of candidate regions by using a neural network model obtained by deep learning training, a probability that a lump comprised in the target region is a target lump being greater than a first threshold, a probability that the target lump is a malignant tumor being greater than a second threshold, and the neural network model being used for indicating a mapping relationship between a candidate region and a probability that a lump comprised in the candidate region is the target lump.

Abstract: A data backup method includes querying a first block of a first blockchain for unused transaction output information based on a first condition being met, the first block including each block of all blocks included in the first blockchain; generating transaction information according to the unused transaction output information obtained based on the querying, the transaction information indicating a transaction operation based on an account address to which the unused transaction output information belongs; recording the transaction information in a second block and releasing the second block, and recording the second block on which a consensus is reached on a second blockchain; and backing up the first blockchain into a storage system, and deleting the first blockchain. Counterpart apparatus, terminal, server, and/or non-transitory computer-readable medium are also contemplated.

Abstract: A method for processing account information in a block chain is provided. A computer device receives identity information and a transfer request, the transfer request requesting to transfer a resource in an account to a target account, the target account being generated by a certificate center. The computer device obtains owner information of the account from the certificate center according to the transfer request. The computer device compares the identity information and the owner information. The computer device transmits an authentication request to the block chain in response to determining that the identity information and the owner information are consistent, the authentication request requesting the block chain to transfer the resource in the account to the target account.

Abstract: A payment method by a processing server to process payment that is independently performed between a user equipment and a payment channel server is provided. The method includes: generating, by the processing server, a payment order bound to a merchant order generated by a merchant device by determining a corresponding item ID, of a service and/or a product for purchase, that is registered with the payment channel server, the merchant order corresponding to the service and/or the product provided by the merchant device; obtaining, by the processing server, a payment voucher corresponding to the payment order; matching, by the processing server, based on the payment voucher, the merchant order bound to the payment order; and transmitting, by the processing server to the merchant device, based on the matched merchant order, a service/product providing notification for providing the service and/or the product to the user equipment.

Abstract: A method for reconstructing a motion track applied to a terminal is provided. The method includes: obtaining a data set, the data set including positioning data obtained by positioning a target object; performing data fitting on target data in the data set to obtain a plurality of segments of first curves, the target data being positioning data obtained by performing noise filtering on the data set; and determining a motion track of the target object based on the plurality of segments of first curves. Counterpart apparatus and non-transitory computer-readable storage medium embodiments are also contemplated.

Abstract: A method and apparatus for determining lane center line are provided. The method may include obtaining a target lane in a first road segment from a database, the first road segment being a road segment having a changed lane quantity, the target lane being an added or subtracted lane, two side lane lines of the target lane being respectively connected to two side lane lines of a first lane at two endpoints of a first end of the target lane, the two side lane lines of the target lane intersecting at an intersection point at a second end of the target lane and the intersection point being connected to a side lane line of a second lane.

Abstract: A processing method that is performed by one or more processor is provided. The processing method includes determining a target video frame in a currently captured video; determining an object area in the target video frame based on a box selection model; determining a category of a target object in the object area based on a classification model used to classify an object in the object area; obtaining augmented reality scene information associated with the category of the target object; and performing augmented reality processing on the object area in the target video frame and the augmented reality scene information, to obtain the augmented reality scene.

Abstract: An image processing method, an electronic device, and a storage medium for processing an image dynamically. The image processing method includes obtaining a three-dimensional image of a first facial image based on a plurality of first feature points of the first facial image, the plurality of first feature points being used to identify a first face in the first facial image; obtaining a plurality of second feature points in each of a plurality of frames of second facial images in real time, the plurality of second feature points being used to identify an expression change of a second face; and synchronizing the three-dimensional image of the first facial image based on changes of the plurality of second feature points in each of the plurality of frames of second facial images, to simulate the expression change of the second face.

Abstract: A method, apparatus and server for recommending an application are provided. The method may include determining at least one target friend among a plurality of friends of a target user, obtaining social interaction characteristics between the target user and the at least one target friend, based on a pre-trained friend impact prediction model of a target application and the social interaction characteristics between the target user and the at least one target friend, determining a first impact of the at least one target friend on registration of the target user in the target application, determining a recommendation score corresponding to the target user and the target application according to the first impact of the at least one target friend on registration of the target user in the target application, and performing application recommendation according to the recommendation score.

Abstract: An image processing method includes: obtaining a target image; performing feature extraction on the target image based on a residual network, to obtain image feature information; and performing recognition processing on the target image according to the image feature information. The residual network includes a plurality of residual blocks that are successively connected, each of the residual blocks including a convolution branch and a residual branch, a size of a convolution kernel of a first convolutional layer in the convolution branch being less than a size of a convolution kernel of a second convolutional layer located after the first convolutional layer, and a convolution stride of the second convolutional layer being greater than a convolution stride of the first convolutional layer and less than a width of the convolution kernel of the second convolutional layer.

Abstract: A processing method that is performed by one or more processor is provided. The processing method includes determining a target video frame in a currently captured video; determining an object area in the target video frame based on a box selection model; determining a category of a target object in the object area based on a classification model used to classify an object in the object area; obtaining augmented reality scene information associated with the category of the target object; and performing augmented reality processing on the object area in the target video frame and the augmented reality scene information, to obtain the augmented reality scene.

Abstract: A depth image generation method, apparatus, and storage medium and electronic device. The method includes: acquiring a plurality of target images; performing multi-stage convolution processing on the plurality of target images through a plurality of convolutional layers in a convolution model to obtain feature map sets respectively outputted by the plurality of convolutional layers; performing view aggregation on a plurality of feature maps in each feature map set respectively to obtain an aggregated feature corresponding to each feature map set; and performing fusion processing on the plurality of obtained aggregated features to obtain a depth image. The plurality of acquired target images are obtained by photographing the target object from different views respectively, so that the plurality of obtained target images include information from different angles, which enriches information content of the acquired target images.

Abstract: A method for establishing a voice activity detection model includes obtaining a training audio file and a target result of the training audio file, framing the training audio file to obtain an audio frame, extracting an audio feature of the audio frame, the audio feature comprising at least two types of features, inputting the extracted audio feature as an input to a deep neural network model, performing information processing on the audio feature through a hidden layer of the deep neural network model, and outputting the processed audio feature through an output layer of the deep neural network model, to obtain a training result; determining a bias between the training result and the target result, and inputting the bias as an input to an error back propagation mechanism, and updating weights of the hidden layer until the deep neural network model reaches a preset condition.

Abstract: Provided is an anonymous account authentication method, apparatus and storage medium. The method may include receiving, from a user, an anonymous account authentication request, requesting a resource owner to perform authentication on a use permission of a resource using an anonymous account, obtaining a first version number of the resource owner according to the anonymous account authentication request, the first version number representing an identification number of a current version of an authentication policy table, obtaining a linear policy table based on the first version number matching a second version number, the second version number representing an identification number of a current version of the linear policy table, obtaining an authentication policy set associated with the resource from the linear policy table, and performing authentication by using the authentication policy set, the authentication policy set comprising at least one authentication policy.

Abstract: A virtual character control method is provided. The method includes displaying a user interface (UI) of an application program, the UI including a virtual environment image and a movement control superimposed on the virtual environment image, and the virtual environment image being an image of a virtual environment, including a virtual character, observed with a perspective; receiving a pressure operation with respect to the movement control, the pressure operation having a pressure greater than a pressure threshold; and controlling, based on the pressure operation satisfying a trigger condition, the virtual character to perform a target action in the virtual environment. Apparatus, terminal, and non-transitory computer-readable storage medium counterparts are also contemplated.

Abstract: Embodiments of the present disclosure relate to a content processing method and apparatus, a computer-readable storage medium, and a computer device. The method includes obtaining data of a to-be-pushed user in behavior evaluation dimensions, user portrait information of the to-be-pushed user, and to-be-pushed content, with the user portrait information corresponding to a user portrait code and the to-be-pushed content corresponding to a to-be-pushed content code. The method further includes determining a user behavior code based on the data of the to-be-pushed user in the behavior evaluation dimensions, and obtaining a target code by fusing the to-be-pushed content code with the user behavior code and the user portrait code. Then, the method includes determining a recommendation probability of the to-be-pushed content based on the target code to determine the push content based on the recommendation probability.

Abstract: A block chain-based data query method, performed by a server of a block chain system, is provided. In the method, a data identifier of first data to be queried is obtained according to a query request, the query request including a user identifier of a user that initiates the query request. Data permission information in a target block in a target block chain of the block chain system is obtained according to the data identifier. Based on the data permission information not including the user identifier, a query permission request is transmitted to at least one target server in the block chain system, the query permission request including the user identifier and the data identifier. Based on a received query permission response satisfying a target policy in the data permission information, the first data is obtained from a data storage system according to the data identifier.

Abstract: A method, an apparatus, a device and a system for session reestablishment and a computer storage medium. The method includes: transmitting a session reestablishment request of reestablishing a predetermined session to a session receiver, in a case that a session initiator determines that a predetermined session established with the session receiver is interrupted and the session receiver supports reestablishment of the predetermined session; and reestablishing, by the session initiator, the predetermined session with the session receiver according to a session reestablishment parameter of the predetermined session in a case that an acknowledgment for the session reestablishment request is received from the session receiver. The session reestablishment parameter is determined based on a status parameter of the predetermined session during interruption. Additionally, a method, an apparatus, a device and a system for session sharing, and a computer storage medium.