Abstract: The present disclosure relates to systems and methods for transmitting a plurality of channels of primary analog signals to at least one terminal device. The method may include combining, by a signal combining device, the plurality of channels of primary analog signals into a combined analog signal. The method may also include transmitting, by the signal combining device, the combined analog signal to a signal dividing device via a cable. The method may further include dividing, by the signal dividing device, the combined analog signal into a plurality of channels of divided analog signals, each of the plurality of channels of divided analog signals corresponding to one of the plurality of channels of primary analog signals. The method may still further include transmitting, by the signal dividing device, the plurality of channels of divided analog signals to the at least one terminal device.

Abstract: The present disclosure may provide a system. The system may obtain at least one pair of images from at least one pair of capture devices. Each of the at least one pair of capture devices may include a first capture device and a second capture device, and each of the at least one pair of images may include a first image captured by the first capture device and a second image captured by the second capture device. The system may determine first identification information of at least one first object in the first image and determine second identification information of at least one second object in the second image. Further, the system may determine at least one information pair by correlating at least a part of the first identification information and at least a part of the second identification information.

Abstract: The present disclosure relates to imaging systems and methods. An imaging method may include determining a first remaining power based on a maximum power of a camera and a working power of the camera; determining whether an operation condition of a first load is satisfied based on the first remaining power; and in response to a determination that the operation condition of the first load is satisfied, enabling the first load.

Abstract: The present disclosure relates to systems and methods for image processing. The system may obtain low-frequency component of a first image. For each element of the first image, the system may adjust a luminance of the element in response to determining that the luminance of the element is less than a predetermined luminance threshold. The system may determine a first luminance weight map corresponding to the first image based on the adjusted luminance of each element of the first image. The system may obtain low-frequency component of a second image and determine a second luminance weight map corresponding to the second image based on a luminance of each element of the second image. The system may further determine a fused image based on the low-frequency component of the first image, the first luminance weight map, the low-frequency component of the second image, and the second luminance weight map.

Abstract: Methods and systems are provided for processing an image. The method may include selecting one or more tiles in a first image. The method may also include performing, for each of the one or more tiles, an image processing operation on an image processing region within the tile based on a second image for K iterations, decreasing the size of the image processing region with each iteration, wherein K is an integer above 2.

Abstract: The present disclosure provides methods, systems, devices, and media for data processing. The method may include obtaining information of one or more hard disks of each of one or more data nodes, the information of the one or more hard disks at least including type information, capacity information, and location information of each of the one or more hard disks; determining, based on a data processing instruction and the information of the one or more hard disks, target information of a target hard disk among the one or more hard disks; and transmitting the data processing instruction including the target information of the target hard disk to a target data node corresponding to the target hard disk.

Abstract: A camera device is provided. The camera device may include a camera body, a supporting component, and a limiting component. The supporting component may be configured to fix the camera body at a first position relative to the supporting component where the lens works under a normal condition. The limiting component may be mechanically coupled between the camera body and the supporting component. The limiting component may be configured to secure the camera body at a second position relative to the supporting component. The second position relative to the supporting component may be different from the first position relative to the supporting component.

Abstract: The present disclosure provides systems and methods for image filtering. The method may include obtaining an initial image block from a reconstructed image; determining at least one candidate image block by performing a filtering operation on the initial image block using at least one trained machine learning model; and determining a target image block based on the at least one candidate image block.

Abstract: A method for intra prediction may include obtaining a target block to be encoded in a target image. The method may also include determining a final most probably mode (MPM) list of the target block based on at least one of (a) first intra-prediction modes configured to encode two or more adjacent blocks of the target block, (b) a width and a height of the target block, (c) statistical information of second intra-prediction modes configured to encode a plurality of first encoded blocks associated with the target block, or (d) texture features of a plurality of second encoded blocks associated with the target block. The method may also include determining, based on the final MPM list, a target intra-prediction mode corresponding to the target block. The method may also include encoding, based on the target intra-prediction mode, the target block.

Abstract: A method for image fusion may include obtaining a first image including a plurality of first pixels and a second image including a plurality of second pixels. Each of the plurality of second pixels may correspond to one of the plurality of first pixels. The method may further include classifying the plurality of first pixels into different categories which at least includes a first category and a second category. The method may further include fusing the first image with the second image based on a fusion operation between each of the plurality of first pixels and its corresponding second pixel to generate a fused image. The fusion operation associated with a first pixel belonging to the first category and the fusion operation associated with a first pixel belonging to the second category are performed according to different fusion rules.

Abstract: The present disclosure provides an image device. The image device may include a camera lens, one or more stepper motors to drive the camera lens, one or more H-bridge circuits configured to control at least one of the one or more stepper motors, and a lens-identification circuit connected with the one or more H-bridge circuits, wherein the lens-identification circuit includes an impedance network of which an impedance value corresponds to a type of the camera lens.

Abstract: Systems and methods for target region evaluation and feature point evaluation are provided. The methods may include obtaining an image including a target region and extracting a plurality of feature points associated with the target region. The methods may further include, for each of the plurality of feature points, determining a sub-region including the feature point. The methods may further include performing a first grouping operation on the plurality of feature points to generate a plurality of first groups of sub-regions according to a first rule, and determining, based on the plurality of first groups of sub-regions, a confidence level associated with the target region using a plurality of trained models for processing the plurality of first groups of sub-regions, respectively. Each of the plurality of trained models may be associated with a set of model parameters. At least two sets of model parameters may be different.

Abstract: The present disclosure provides a method for inter-frame prediction of a coding unit in an image. The method may include obtaining a first MV candidate list corresponding to the coding unit and the first MV candidate list may be constructed based on a non-triangle prediction mode, such as a merge mode. The method may also include determining, based on the first MV candidate list, a second MV candidate list corresponding to the coding unit. The second MV candidate list may be a triangle candidate list used for inter-prediction using a triangle prediction mode. MVs in the second MV candidate list may be determined based on MVs in the first MV candidate list. The method may also include determining, based on the second MV candidate list, a target prediction unit of the current coding unit according to a triangle prediction mode.

Abstract: A system (100) and method for determining a hand-drawn graphic are provided. The method may include obtaining one or more hand-drawn strokes inputted into a drawing region (310), and in response to determining that an input termination condition is satisfied, determining a hand-drawn graphic corresponding to the one or more hand-drawn strokes (320).

Abstract: The present disclosure relates to systems and methods for identifying a target object. The method may include receiving, from a first antenna, a first signal associated with at least one candidate object and receiving, from a second antenna, a second signal associated with the at least one candidate object. The first antenna may be associated with a first acquisition region. The second antenna may be associated with a second acquisition region that is different from the first acquisition region. The method may further include identifying a target object located in a target region from the at least one candidate object by comparing a first parameter determined from the first signal with a second parameter determined from the second signal.

Abstract: A method for determining a target event may be provided. The method may include obtaining a first image including a first subject and information related to the first subject. The method may include determining a second image including the first subject based on the first image and the information related to the first subject. The second image may be captured no later than the first image. The method may also include determining a third image including a second subject based on the second image. The first subject may be associated with the second subject. The method may also include determining a background image which does not include the first subject. The method may further include determining a target event based on the background image, the second image, and the third image.

Abstract: The present disclosure relates to systems and methods for controlling a stepping motor. A method may include determining a driving voltage based on a function, wherein the function includes a predetermined electric current and operating parameters of the stepping motor; and driving the stepping motor to work based on the driving voltage via an H-bridge.

Abstract: The present disclosure relates to systems and methods for image segmentation. The system may include at least one processor that is directed to obtain an image; divide the image into a plurality of image blocks; determine, for each of the plurality of image blocks, a compressed representation of one or more features of the image block; group the plurality of image blocks into at least two different categories based on the plurality of compressed representations; and extract a region of interest from the image based on at least one of the at least two different categories of the plurality of image blocks.

Abstract: The present disclosure relates to a system and method for managing files stored in a storage medium. The method may include obtaining file information of a file stored in the storage medium, wherein the file includes at least two data fragments, each two of the at least two data fragments are stored separately in two discontinuous storage units in the storage medium. The method may also include determining a first parameter of the file according to the file information, wherein the first parameter represents an integrity of the at least two data fragments in the storage medium. The method may further include determining whether the first parameter is equal to or smaller than a preset threshold. The method may still further include defragmenting the at least two data fragments in the storage medium if the first parameter is equal to or smaller than the preset threshold.

Abstract: The present disclosure relates to systems and methods for intra prediction. The methods may include selecting a candidate prediction block from a plurality of prediction blocks of a video slice according to a first condition, wherein a width of the candidate prediction block is different from a height of the candidate prediction block; selecting an angular prediction mode from a plurality of candidate prediction modes of the candidate prediction block; and determining a filter for the angular prediction mode of the candidate prediction block according to a second condition.