Abstract: A recognition method includes inputting a media resource feature into a recognition model having N layers of attention modules, and processing the media resource feature by using the N layers of attention modules to obtain a representation vector. An ith layer of attention module is configured to determine an ith layer weight parameter and an ith input representation vector based on (i) a group of shared parameters and (ii) an ith group of non-shared parameters, and determine an ith layer of representation vector outputted by the ith layer of attention module. When i is less than N, the ith layer of representation vector determines an (i+1)th group of non-shared parameters used by an (i+1)th layer of attention module and at least two layers of attention modules among the N layers of attention modules share the group of shared parameters.

Abstract: A video quality assessment method and apparatus including playing an online video stream, obtaining a time-domain feature of a corresponding unit of duration based on video playback fluency detected within at least one unit of duration in a process of playing the online video stream, extracting video frames from the online video stream, separately extracting a spatial-domain feature from each extracted video frame, obtaining a time-domain feature vector based on the time-domain feature of the unit of duration, obtaining a spatial-domain feature vector based on a corresponding spatial-domain feature of each video frame, performing feature fusion processing on the spatial-domain feature vector and the time-domain feature vector to obtain a fusion feature vector, and determining a video quality assessment value of the online video stream based on the fusion feature vector.

Abstract: In a method for acquiring a shared emotive image, a plurality of candidate contact identifiers is displayed. A user selection of a target contact identifier from the plurality of candidate contact identifiers is received. At least one emotive image corresponding to the target contact identifier is displayed. The at least one emotive image is shared by a target contact of the target contact identifier. A user selection of the shared emotive image from the at least one emotive image corresponding to the target contact identifier is received. An emotive image acquisition request is sent to the target contact corresponding to the target contact identifier. The emotive image acquisition request identifies the shared emotive image for which authorization is requested. The shared emotive image is added to an emotive image library based on the authorization to use the shared emotive image being received.

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: A resource rendering method/apparatus including obtaining, based on a resource rendering request for a target object in a geographical area, a node relationship graph corresponding to the geographical area, the node relationship graph comprising at least one node in a connection relationship, the at least one node corresponding to a terminal in the geographical area, and the at least one node comprising a rendering execution node shared by nodes in the geographical area, identifying, in the node relationship graph, a node path from the at least one node to the rendering execution node, transferring the resource rendering request to the rendering execution node according to the node path, the resource rendering request instructing the rendering execution node to render the target object by using a cloud to obtain a rendering resource, and receiving the rendering resource returned by the rendering execution node, and displaying the rendering resource.

Abstract: This application discloses an image display method and apparatus, a storage medium, and an electronic device. The method includes: displaying identifiers of a set of images in a game screen of a target game application, obtaining a first operation directed to selecting an identifier of a first image from among the identifiers of the set of images, selecting an identifier of the first image in response to the first operation, and displaying the selected image on a first region of the game screen.

Abstract: An event processing method, a device, and a system are disclosed in embodiments of this disclosure, to facilitate an application program adjusting a parameter configuration policy according to a radio signal strength of a UE. The event processing method according to an embodiment includes: generating a location report request, the location report request being used for requesting a deferred location report based on a radio signal strength of a user equipment (UE) and indicating a triggering event for triggering the deferred location report; transmitting the location report request to the UE, the location report request triggering the UE to determine whether the triggering event occurs according to the radio signal strength of the UE; and obtaining event reporting information transmitted by the UE to the location application device in response to the triggering event occurring.

Abstract: Embodiments of this disclosure disclose a face detection method, apparatus, and device, and a storage medium. A face candidate region in a to-be-detected image is determined according to a face detection model including a plurality of stages of convolutional neural networks (CNNs). A small-scale face is determined according to a size parameter, and a particular stage CNN corresponding to the size parameter is selected to perform the face detection. A CNN in different stage is adapted to a different size parameter or a size parameter range.

Abstract: A method includes: obtaining a push content request from an object; determining a push content set according to the push content request; detecting historical behavior feature data of the object for a push content in response to a behavior feature of the object for the push content satisfying a preset negative behavior condition; performing content-based matching for the push content set based on the historical behavior feature data to obtain a target push content set of the object; performing content sorting of the push content set and performing content-based matching of the push content of the object to obtain a target push content set of the object; and determining a target push content of the object from the target push content set, and transmitting the target push content to the object.

Abstract: A processing circuitry obtains a training set based on an interaction process of a plurality of cards. The training set includes a plurality of video frames, and a video frame includes a trigger region for triggering an action during the interaction process. The processing circuitry determines feature regions in the trigger region. A feature region includes a card and is set with an action label for indicating a first training content in the feature region. The processing circuitry also determines a feature vector based on the plurality of video frames. The feature vector indicates a triggering of the feature region. The processing circuit inputs the feature vector into a first model for training to obtain a second model. The first model associates the feature vector with the action label, and the second model is used for indicating a correspondence between a content of the card and the action label.

Abstract: A message transmitting method and apparatus provide for a subtle reminder function. Head portraits of at least two user accounts are displayed in a first chat interface. The at least two user accounts include a first user account and a second user account. An interaction message is generated in response to an interaction with the head portrait of the second user account. The interaction message is transmitted to the second user account. The interaction message is used to trigger the display of an animation of the head portrait of the second user account in a second chat interface. This provides for a new interaction between user accounts, and can provide a subtle reminder function.

Abstract: Embodiments of this application disclose an image processing method and apparatus, an electronic device, and a storage medium. The method includes obtaining a remaining mileage parameter of a vehicle; obtaining a start position of the vehicle on a map display interface; determining a target travel range on the map display interface according to the start position and the remaining mileage parameter; and displaying the target travel range on the map display interface.

Abstract: This application relates to an audio synthesis method, a storage medium, and a computer device. The method includes: obtaining a target text; determining a target song according to a selection instruction; synthesizing a self-made song using the target text and tune information of the target song according to a tune control model, the target text being used as the lyrics of the self-made song. The solutions provided in this application improve an audio playback effect.

Abstract: An image recognition method includes obtaining an image to be segmented. The image includes a plurality of extremum points. Image feature information is generated according to the image and includes N image matrices and a heat map. The heat map is generated according to the plurality of extremum points. An image segmentation region is determined corresponding to the image feature information through an image segmentation model. The image segmentation model includes N matrix input channels and a heat map input channel, the N matrix input channels have a one-to-one correspondence with the N image matrices, and the heat map input channel have a correspondence with the heat map. The method also includes generating an image recognition result of the image according to the image segmentation region.

Abstract: This application relates to an image acquisition method and apparatus, a device, and a storage medium, and relates to the field of image processing technologies. The method includes obtaining a first image, the first image being an image acquired by controlling an exposure time of an image acquisition component according to a brightness reference value; obtaining an exposure state of the first image; updating the brightness reference value according to the exposure state of the first image, to obtain an updated brightness reference value; controlling the exposure time of the image acquisition component according to the updated brightness reference value; and acquiring a second image.

Abstract: A computer device obtains a to-be-annotated image having a first magnification. The device obtains an annotated image from an annotated image set, the annotated image distinct from the to-be-annotated image and having a second magnification that is distinct from with the first magnification. The annotated image set includes at least one annotated image. The device matches the to-be-annotated image with the annotated image to obtain an affine transformation matrix, and generates annotation information of the to-be-annotated image according to the affine transformation matrix and the annotated image. In this way, annotations corresponding to images at different magnifications may be migrated. For example, the annotations may be migrated from the low-magnification images to the high-magnification images, thereby reducing the manual annotation amount and avoiding repeated annotations, and further improving annotation efficiency and reducing labor costs.

Abstract: The present application discloses a method and apparatus for displaying a virtual landscape picture, a storage medium, and an electronic device. The method includes acquiring a plurality of landscape layer types comprised in the target landscape area to be displayed and determining a type weight corresponding to each landscape layer type in the plurality of landscape layer types; screening at least one target landscape layer type with a corresponding type weight which satisfies a condition from the plurality of landscape layer types, and acquiring an index value of a landscape layer corresponding to each of the screened at least one target landscape layer type; and sequentially storing the index value in each image color channel of the landscape layer index map to obtain the landscape layer index map corresponding to the target landscape area to be displayed.

Abstract: An image coloring method includes: acquiring first color a priori information about an image-to-be-colored; transforming the first color a priori information to obtain second color a priori information aligned with the image-to-be-colored; downsampling the image-to-be-colored to obtain a first image feature; performing modulation coloring processing on the first image feature based on the second color a priori information to obtain a second image feature; and upsampling the second image feature based on the second color a priori information to obtain a first colored image, where the first colored image is aligned with the image-to-be-colored.

Abstract: Embodiments of this application disclose a data transmission method performed by a sender network adapter associated with a sender server. The method includes: acquiring an original data packet, a first address, and a tenant identifier, the first address comprising an address of a receiver network adapter associated with a receiver server, and the tenant identifier being used for indicating a corresponding tenant on the receiver server; performing tunnel encapsulation on the original data packet based on the first address and the tenant identifier to obtain a tunnel data packet; sending the tunnel data packet to the receiver network adapter; decapsulating, by the receiver network adapter, the tunnel data packet to obtain the original data packet and the tenant identifier; and transmitting the original data packet and the tenant identifier to the receiver server, which is configured to deliver the original data packet to a tenant corresponding to the tenant identifier.

Abstract: A labeling method is provided. In the method, target image data of a target image is acquired from an offline storage device. The target image data is encrypted based on a first target account. A permission to load the target image data is verified based on a second target account logged in to a labeling client. The target image is loaded in the labeling client in response to the permission to load the target image being verified when the second target account logged in to the labeling client matches the first target account. A label for the target image is received. Further, the label for the target image is transmitted to a server. The server is configured to store the label in association with the target image. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.