Abstract: A processor-implemented method includes obtaining a first motion matrix corresponding to an extended reality (XR) system and a second motion matrix based on a conversion coefficient from an XR system coordinate system into a rolling shutter (RS) camera coordinate system, and projecting an RS color image of a current frame onto a global shutter (GS) color image coordinate system based on the second motion matrix and generating a GS color image of the current frame, wherein the second motion matrix is a motion matrix of a timestamp of a depth image captured by a GS camera corresponding to a timestamp of a first scanline of an RS color image captured by the GS camera.

Abstract: The present disclosure describes methods, devices, and storage medium for generating a time-lapse photography video with a neural network model. The method includes obtaining a training sample. The training sample includes a training video and an image set. The method includes obtaining through training according to the training sample, a neural network model to satisfy a training ending condition, the neural network model comprising a basic network and an optimization network, by using the image set as an input to the basic network, the basic network being a first generative adversarial network for performing content modeling, generating a basic time-lapse photography video as an output of the basic network, using the basic time-lapse photography video as an input to the optimization network, the optimization network being a second generative adversarial network for performing motion state modeling, and generating an optimized time-lapse photography video as an output of the optimization network.

Abstract: An apparatus and method with depth estimation are disclosed. The method includes calculating a first reliability of each of a plurality of time of flight (ToF) pixels of a ToF image; and generating, based on the first reliabilities, a depth map of a scene based on a left image and a right image and selectively based on the ToF image.

Abstract: A transaction harmony degree-based method and system for transaction matching between a power grid and building energy. The method includes: obtaining a transaction harmony degree of a historical transaction cycle; sending, by using a blockchain, the transaction harmony degree to a corresponding building energy user, and sending a maximum compensated electricity price and an expected compensated electricity price in peak-valley regulation to all building energy users; determining, by each building energy user, a transaction-based compensated electricity price in the peak-valley regulation based on the received transaction harmony degree and the received maximum compensated electricity price and expected compensated electricity price in the peak-valley regulation, and feeding back the transaction-based compensated electricity price in the peak-valley regulation to a power grid; and determining, by the power grid, a building energy user that successfully performs transaction matching with the power grid.

Abstract: A display controller includes a first chip and a second chip. The first chip is configured to control a display device. The second chip is externally coupled to the first chip, and configured to be a random access memory and. The first chip is further configured to provide a first supply power to the second chip and to access the second chip during the controlling of the display device.

Abstract: A nonaqueous electrolyte for a lithium ion battery includes a lithium salt, a first nonaqueous solvent, and an additive mixture comprising a first operative additive of lithium difluorophosphate and a second operative additive of either fluoro ethylene carbonate or vinylene carbonate. A lithium-ion battery includes a negative electrode, a positive electrode comprising NMC with micrometer-scale grains, a nonaqueous electrolyte having lithium ions dissolved in a first nonaqueous solvent, and an additive mixture having a first operative additive of either fluoro ethylene carbonate or vinylene carbonate and a second operative additive of either 1,3,2-dioxathiolane-2,2-dioxide, another sulfur-containing additive, or lithium difluorophosphate.

Abstract: This application provides a method of generating a description for a picture set performed at a computer device, and a storage medium. The method includes: acquiring a picture set to be processed; performing picture feature extraction on each picture in the picture set to acquire a picture feature corresponding to the picture, and forming a picture feature sequence corresponding to the picture set by using the picture features corresponding to the pictures; performing scene feature extraction on a picture feature sub-sequence corresponding to each scene in the picture feature sequence to acquire a scene feature corresponding to the scene, and forming a scene feature sequence corresponding to the picture set by using the scene features corresponding to the scenes; and generating textual description information of the picture set according to the picture feature sequence and the scene feature sequence that correspond to the picture set.

Abstract: An interface of a memory circuit includes a chip enable terminal, at least one data terminal, and a data strobe terminal. The chip enable terminal receives a chip enable signal that varies between a first high voltage and a low voltage. The at least one data terminal receives a first data signal that varies between a second high voltage and the low voltage during a command phase, and transmits or receives a second data signal during a data phase. The data strobe terminal receives a first data strobe signal that periodically varies between the second high voltage and the low voltage during the command phase, and transmits or receives a second data strobe signal that swings periodically during the data phase. During a transition interval between the command phase and the data phase, the data strobe terminal stops receiving or transmitting data strobe signals that swing periodically.

Abstract: An electrode cell manufacturing process may include forming an electrode sheet including an electrode material and an active material. A first plurality of electrode tab windows may be defined in the active material to expose first portions of the electrode material. The process may also include slitting the electrode sheet along a first line that orthogonally intersects the first plurality of electrode tab windows to define a first electrode strip including a first set of electrodes and a second electrode strip including a second set of electrodes.

Abstract: This application discloses a video classification method performed by a computer device. The method includes: obtaining an image frame sequence corresponding to a to-be-classified video file; obtaining an appearance information feature sequence corresponding to the image frame sequence by using an image classification network model, the appearance information feature sequence including T appearance information features; obtaining a motion information feature sequence corresponding to the appearance information feature sequence by using a motion prediction network model, the motion information feature sequence including T motion information features, and the motion prediction network model being configured to predict the motion information features corresponding to the appearance information features; and determining a video classification result of the to-be-classified video file according to the appearance information feature sequence and the motion information feature sequence.

Abstract: Provided are a video retrieval method and apparatus, a medium, and a server. The video retrieval method includes: receiving a video retrieval request from a terminal, the video retrieval request carrying retrieval key information; searching a video database for a natural sentence matching the retrieval key information, the video database including a plurality of videos, each video having a natural sentence obtained through processing frames of the video using an encoder, a decoder and a reconstructor of a neural network; obtaining a video corresponding to the natural sentence matching the retrieval key information; and returning the matching video to the requesting terminal.

Abstract: A data intake and query system receives a message including raw machine via an internet protocol (IP) such as the hypertext transfer protocol (HTTP). The message includes a distinct payload portion and a distinct custom field portion. The payload portion includes raw machine data, while the custom field portion includes values for fields. An event that includes the raw machine data and the values is generated from the payload portion and the values are extracted from the custom field portion. The event is then stored such that the values are associated with the event.

Abstract: A computer-implemented method is disclosed that includes operations of parsing a query comprised of a sequence of operators to detect each operator of the sequence of operators, where the sequence of operators includes a machine learning (ML) operator representing a trained ML model. Additionally, a schema of the ML operator is determined through metadata. A filter or a projection is generated based on the schema of the ML operator, where the filter or projection is configured to reduce an amount of data retrieved upon application of the filter of the projection to an operator of the sequence of operators comprising the query. The schema of the ML operator indicates a schema of input data to be provided to the ML operator and a schema of output data to be provided by the ML operator following processing.

Abstract: Embodiments of this application disclose an image description generation method performed at a computing device. The method includes: obtaining a target image; generating a first global feature vector and a first label vector set of the target image; generating a first multi-mode feature vector of the target image through a matching model, the matching model being a model obtained through training according to a training image and reference image description information of the training image; and applying the first multi-mode feature vector, the first global feature vector, and the first label vector set to a computing model, to obtain the target image description information, the computing model being a model obtained through training according to image description information of the training image and the reference image description information.

Abstract: A memory device includes a plurality of sets of bitlines, a set of data lines and a column selection circuit. Each data line is segmented into line segments separated from each other. A first data line includes a first line segment and a second line segment adjacent to each other. A second data line includes a first line segment. The column selection circuit is configured to selectively a first bitline in a first set of bitlines and a first bitline in a second set of bitlines to the first line segment and the second line segment of the first data line, respectively, and to selectively couple a second bitline in the first set of bitlines and a second bitline in the second set of bitlines to the first line segment of the second data line.

Abstract: An image processing apparatus and method are provided. The image processing apparatus acquires a target image including a depth image of a scene, determines three-dimensional (3D) point cloud data corresponding to the depth image based on the depth image, and extracts an object included in the scene to acquire an object extraction result based on the 3D point cloud data.

Abstract: According to embodiments of the present disclosure, a method and a chip for cyclic code encoding, a circuit component, and an electronic device are provided. The method includes: generating, based on a first symbol sequence related to a first part of symbols in the K payload symbols, a first parity sequence corresponding to the first symbol sequence; generating, based on a second symbol sequence related to a second part of symbols in the K payload symbols, a second parity sequence corresponding to the second symbol sequence, where the first part of symbols are different from the second part of symbols; generating the (N?K) parity symbols based on the first parity sequence and the second parity sequence.

Abstract: A method of operating a microelectronic package includes a processing device stacking vertically with at least one memory device. The method includes a step of: reading data stored in a plurality of memory cells of a plurality of memory units of the memory device, with the processing device, with a plurality of signal channels each of which is dedicated to transmit signals from the processing device to one of the memory units and vice versa.

Abstract: A data transmission method is performed by a first node, and the first node includes X encoding units that perform encoding in a first FEC mode. The method includes: first dividing, by the first node, to-be-encoded data into X groups of initial data, and encoding the X groups of initial data one by one by using the X encoding units, to obtain X groups of encoded data; and then distributing, by the first node, the X groups of encoded data to L links, to send the X groups of encoded data to a second node. Both X×N and X×K are integer multiples of L, N represents a length of a codeword of the first FEC mode, K represents a length of valid information bits in the codeword, and amounts of encoded data distributed to different links are the same.

Abstract: The present disclosure describes methods, devices, and storage medium for generating a natural language description for a media object. The method includes respectively processing, by a device, a media object by using a plurality of natural language description models to obtain a plurality of first feature vectors corresponding to a plurality of feature types. The device includes a memory storing instructions and a processor in communication with the memory. The method also includes fusing, by the device, the plurality of first feature to obtain a second feature vector; and generating, by the device, a natural language description for the media object according to the second feature vector, the natural language description being used for expressing the media object in natural language. The present disclosure resolves the technical problem that natural language description generated for a media object can only give an insufficiently accurate description of the media object.