Abstract: Implementations described herein relate to methods, systems, and computer-readable media to render a foreground video. In some implementations, a method includes receiving a plurality of video frames that include depth data and color data. The method further includes downsampling the frames of the video. The method further includes, for each frame, generating an initial segmentation mask that categorizes each pixel of the frame as foreground pixel or background pixel. The method further includes determining a trimap that classifies each pixel of the frame as known background, known foreground, or unknown. The method further includes, for each pixel that is classified as unknown, calculating and storing a weight in a weight map. The method further includes performing fine segmentation to obtain a binary mask for each frame. The method further includes upsampling the plurality of frames based on the binary mask for each frame to obtain a foreground video.

Abstract: Illustrative embodiments include a method, an electronic device, and a computer program product for video processing. In the method, a first group of image frames in a first video having a first resolution is converted into a second group of image frames having a second resolution, the first resolution being higher than the second resolution; a second video having the second resolution is generated based on the second group of image frames; conversion parameters for the second video are determined based on the first group of image frames and the second group of image frames, the conversion parameters being used to convert an image frame in the second group of image frames into an image frame having a third resolution, and the third resolution being higher than the second resolution; and the conversion parameters and the second video are sent to a requester of the first video.

Abstract: A distributed processing system for processing an elevator call, a method for processing an elevator call using the distributed processing system, and a computer readable storage medium on which a computer program for realizing an elevator call generation method is stored. A distributed processing system for processing an elevator call includes a plurality of wireless communication modules deployed in an elevator service area, each of the wireless communication modules is associated with one or more call units and configured to: perform a call assignment operation in response to an elevator call from a terminal device specifying it as a target wireless communication module; and return a message about call assignment to the terminal device.

Abstract: A method in an illustrative embodiment includes dividing a first image having a first resolution into a plurality of image patches, and converting each of the plurality of image patches into an image patch having a second resolution by using a plurality of candidate conversion models, the second resolution being higher than the first resolution. The method may include determining a plurality of quality factors corresponding to the plurality of candidate conversion models for each of the converted image patches. The method may include selecting a conversion model for each image patch from the plurality of candidate conversion models based on the plurality of quality factors and computation load factors of the plurality of candidate conversion models, and generating metadata for converting the first image into a second image having the second resolution based on position information of each image patch and the conversion model selected for each image patch.

Abstract: Embodiments of the present disclosure relate to a computer-implemented method, device, and computer program product. The method includes: determining, based on a set of user behavior data over a first time period, a set of behavioral features for a user behavior over the first time period. The method further includes: determining, based on the set of behavioral features, a set of anomaly scores for the user behavior according to an anomaly detection model. The anomaly detection model is trained based on user behavior data over a second time period. The method further includes: updating a previously determined anomaly score threshold based on comparison of the determined set of anomaly scores with the anomaly score threshold. The anomaly score threshold is used for indicating whether the user behavior is anomalous. By continuously updating the anomaly score threshold, the solution uses the updated anomaly score threshold for anomaly detection of user behavior.

Abstract: The present disclosure relates to a method, a device, and a program product for training a model. The method includes: receiving at least one unlabeled sample and at least one labeled sample for training a pre-training model, the pre-training model being used to extract features of the samples; creating an undirected graph associated with the pre-training model using the at least one unlabeled sample and a set of training samples associated with the pre-training model; dividing the undirected graph to form a plurality of sub-graphs based on corresponding features of the unlabeled sample and the set of training samples, the plurality of sub-graphs corresponding to a plurality of classifications of the samples, respectively; and training, based on the plurality of sub-graphs and the at least one labeled sample, the pre-training model to generate a training model. A corresponding device and a corresponding computer program product are provided.

Abstract: A molding die includes a first mold assembly, a second mold assembly, and a mold core. The first and second mold assemblies are adapted to be clamped together. The mold core defines a molding groove. The molding core is pressed between the first and second mold assemblies to form a molding cavity. The second mold assembly includes a light transmitting area corresponding to the molding cavity, so that the molding cavity will receive incident light through the light transmitting area. In the molding die, the first mold assembly, the second mold assembly, and the mold core cooperate to form the molding cavity, adhesive is injected into the molding cavity, and the molding cavity receives incident light through the light transmitting area, so that curing efficiency of the adhesive is improved, production efficiency is high, shape of molded adhesive is uniform, and product quality is improved.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for processing an image. The method includes acquiring an image about an augmented reality scene. The method further includes determining a target image part corresponding to a target object from the image. The method further includes using a machine learning model to augment information about the target object in the target image part to obtain an augmented target image part. The method further includes displaying the augmented target image part. Through the method, augmentation of an augmented reality image may be quickly achieved, the image quality is improved, the use of hardware resources is reduced, and user experience is improved.

Abstract: Disclosed herein are flexible plasma applicators based on fibrous layers that are capable of rapidly sanitizing a surface via either direct or indirect contact with said surface.

Abstract: An embodiment provides a method for treating a body fluid of a patient with Covid-19, including: removing the body fluid from a patient; applying a treatment to the body fluid, wherein the treatment comprises an antibody that joins with a virion in the body fluid to form an antibody-virion complex, wherein the antibody comprises a tag sensitive to an illumination; removing the antibody-virion complex from the body fluid using an illumination source; and returning the body fluid to the patient. Other aspects are described and claimed.

Abstract: A system and related method identify a weakness of a workflow in a complex system. The method collects runtime data about the complex system. The complex system comprises a plurality of subcomponents, and the method identifies an abnormal operation in the complex system. The method constructs a multi-dimensional cause-and-effect relation matrix among the plurality of subcomponents, and filters one or more related operations using the multi-dimensional cause-and-effect relation matrix.

Abstract: Embodiments of the disclosure include a method, a device, and a computer program product for video processing. This method includes: selecting frames having features of a first type from a first instance of a video as a first candidate set, the first instance having a first resolution; generating a set of training frames based at least on the first candidate set; acquiring a set of corresponding frames for the set of training frames in a second instance of the video, the second instance having a second resolution lower than the first resolution; and determining, using the set of training frames and the set of corresponding frames, a conversion parameter for conversion from the second resolution to a third resolution. This solution provides a smaller-scale and higher-quality training set for the training of a video conversion model, thus improving the quality of training while saving computational resources and increasing training speed.

Abstract: The present invention provides a method for calculating the liquid-solid interface morphology during growth of the ingot. The method comprises providing a wafer, selecting plural sampling locations on the wafer and detecting electrical resistivity at the plural sampling locations, calculating height differences between the sampling locations based on the detected electrical resistivity, and illustrating the morphology of the liquid-solid interface based on the calculated height differences. The method of the invention has advantages including easy operation and low cost.

Abstract: An embodiment provides a method for treating a body fluid of a patient with an inflammatory cytokine storm, including: removing the body fluid from a patient; applying a treatment to the body fluid, wherein the treatment comprises an antibody that joins with an antigen in the body fluid to form an antibody -antigen complex; removing the antibody-antigen complex from the body fluid; and returning the body fluid to the patient. Other aspects are described and claimed.

Abstract: Provided are a drive compensation method and system of a display panel and a display device. The drive compensation method includes: determining at least one of the impedance and capacitive reactance variation curve of a first signal line in a column direction and determining the charge rate variation curve of first pixel units in a row direction; determining the compensation coefficients for a respective pixel unit in the column direction and/or the row direction according to the impedance and capacitive reactance variation curve of the first signal line in the column direction and/or the charge rate variation curve of first pixel units in the row direction; and compensating the compensation coefficients for the respective pixel unit in the column direction and/or the row direction to the drive signal of the respective pixel unit to drive the respective pixel unit.

Abstract: Embodiments of the present disclosure relate to a computer-implemented method, a device, and a computer program product. A method includes: determining a first group of frames corresponding to a first scene and a second group of frames corresponding to a second scene different from the first scene in a reference video, respectively. The first group of frames and the second group of frames each have a first resolution. The method further includes determining a first model for the first scene and a second model for the second scene, respectively. The first model and the second model are respectively used to convert frames corresponding to the first scene and the second scene from the first resolution to a second resolution different from the first resolution. The method further includes training the first model and the second model using the first group of frames and the second group of frames, respectively.

Abstract: The present disclosure provides a method for storing data, including: storing data in a first node, the first node being selected from a first node set including a first edge node and child nodes thereof; selecting, from a second node set including a second edge node and child nodes thereof, a second node for storing the data, the first edge node being a child node of the second edge node; and storing the data in the second node. The present disclosure further provides a method for searching for data. The present disclosure can reduce the time for searching for data in a distributed storage system.