Abstract: The present invention discloses a vessel power safety control system and operating method thereof. The vessel power safety control system includes a load power management module, a real-time monitoring module, an integration module and a power module. The present invention can assist the autonomous ship as any occurrence of fault during navigation. Once the accident occurs, the load power management module will give an instruction to control the DC bus to switch from closed circuit to open circuit to protect other equipment. After determining whether the errors of the equipment on board is eliminated, the load power management system performs automatic system reset procedure. As such, the DC bus can be converted from an open circuit to a closed circuit to restart the power supply for the facility.

Abstract: A system and a method for tracking a plurality of objects, including obtaining input data, estimating a number of skipping frames of the input data based on information from the input data, predicting results based on the estimating of the number of skipping frames, and correcting the predicted results.

Abstract: Methods, apparatus, and systems for multi-resolution processing for video classification. A plurality of video frames of a video are obtained and a resolution for classifying each video frame of the plurality of video frames is determined by analyzing each video frame using a policy network. Based on the determined resolution, each video frame having a determined resolution is rescaled and each rescaled video frame is routed to a classifier of a backbone network that corresponds to the determined resolution. Each rescaled video frame is classified using the corresponding classifier of the backbone network to obtain a plurality of classifications and the classifications are averaged to determine an action classification of the video.

Abstract: Methods, apparatus, and systems for multi-resolution processing for video classification. A plurality of video frames of a video are obtained and a resolution for classifying each video frame of the plurality of video frames is determined by analyzing each video frame using a policy network. Based on the determined resolution, each video frame having a determined resolution is rescaled and each rescaled video frame is routed to a classifier of a backbone network that corresponds to the determined resolution. Each rescaled video frame is classified using the corresponding classifier of the backbone network to obtain a plurality of classifications and the classifications are averaged to determine an action classification of the video.

Abstract: The present invention discloses a vessel power safety control system and operating method thereof. The vessel power safety control system includes a load power management module, a real-time monitoring module, an integration module and a power module. The present invention can assist the autonomous ship as any occurrence of fault during navigation. Once the accident occurs, the load power management module will give an instruction to control the DC bus to switch from closed circuit to open circuit to protect other equipment. After determining whether the errors of the equipment on board is eliminated, the load power management system performs automatic system reset procedure. As such, the DC bus can be converted from an open circuit to a closed circuit to restart the power supply for the facility.

Abstract: A method and system of stitching a plurality of image views of a scene, including grouping matched points of interest in a plurality of groups, and determining a similarity transformation with smallest rotation angle for each grouping of the matched points. The method further includes generating virtual matching points on non-overlapping area of the plurality of image views and generating virtual matching points on overlapping area for each of the plurality of image views.

Abstract: A computer-implemented method for finding objects in a collection of images or video, the method comprising: assessing a similarity between two subgraphs; detecting the objects in the collection; assessing a relationship between the objects; finding attributes of the objects; constructing a collection graph for the collection where each of the objects is the vertices and nodes of the collection graph and their relationships with other objects and attributes are edges of the collection graphs; recursively identifying coherent subgraphs and turning the coherent subgraphs into new meta-nodes of the collection graph; identification of the stable graph reducing the collection graph into zero or more distinct stories; assigning a similarity score for each pair of the stories based on a similarity between the corresponding stories; linking the stories into inlier stories based on the similarity score being greater than a first pre-determined threshold level.

Abstract: Techniques that facilitate integrated circuit defect detection using pattern images are provided. In one example, a system generates an equalized pattern image of a pattern image associated with a module under test based on an adaptive contrast equalization technique. The system also identifies a first set of features of the equalized pattern image based on a feature point detection technique and aligns the equalized pattern image with a reference pattern image based on the first set of features and a second set of features of the reference pattern image. Furthermore, the system compares a first set of light intensities of the equalized pattern image to a second set of light intensities of the reference pattern image to identify one or more regions of the module under test that satisfy a defined criterion associated with a defect for the module under test.

Abstract: Systems, computer-implemented methods, and computer program products to focus a microscope. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an analyzer component that can analyze sub-images of respective sample images to identify one or more sub-images having a maximized variance of a gradient derivative corresponding to the one or more sub-images. The respective sample images can be acquired at one or more focal positions along an optical axis of a microscope. The computer executable components can further comprise a selection component that can select an image, from the respective sample images, that comprises the one or more sub-images identified. The computer executable components can also comprise a focus component that, based on a focal position corresponding to the image selected, can focus the microscope to the focal position.

Abstract: A method and system of stitching a plurality of image views of a scene, including grouping matched points of interest in a plurality of groups, and determining a similarity transformation with smallest rotation angle for each grouping of the matched points. The method further includes generating virtual matching points on non-overlapping area of the plurality of image views and generating virtual matching points on overlapping area for each of the plurality of image views.

Abstract: A system and a method for tracking a plurality of objects, including obtaining input data, estimating a number of skipping frames of the input data based on information from the input data, predicting results based on the estimating of the number of skipping frames, and correcting the predicted results.

Abstract: A method and system of stitching a plurality of image views of a scene, including grouping matched points of interest in a plurality of groups, and determining a similarity transformation with smallest rotation angle for each grouping of the matched points. The method further includes generating virtual matching points on non-overlapping area of the plurality of image views and generating virtual matching points on overlapping area for each of the plurality of image views.

Abstract: Systems, computer-implemented methods, and computer program products to focus a microscope. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an analyzer component that can analyze sub-images of respective sample images to identify one or more sub-images having a maximized variance of a gradient derivative corresponding to the one or more sub-images. The respective sample images can be acquired at one or more focal positions along an optical axis of a microscope. The computer executable components can further comprise a selection component that can select an image, from the respective sample images, that comprises the one or more sub-images identified. The computer executable components can also comprise a focus component that, based on a focal position corresponding to the image selected, can focus the microscope to the focal position.

Abstract: One or more contacts are detected in an electron microscope image corresponding to a region of interest on an integrated circuit. One or more standard cells are identified based on the detected one or more contacts in the electron microscope image. One or more components of the integrated circuit are determined based on the identified one or more standard cells.

Abstract: A computer-implemented method for finding objects in a collection of images or video, the method comprising: assessing a similarity between two subgraphs; detecting the objects in the collection; assessing a relationship between the objects; finding attributes of the objects; constructing a collection graph for the collection where each of the objects is the vertices and nodes of the collection graph and their relationships with other objects and attributes are edges of the collection graphs; recursively identifying coherent subgraphs and turning the coherent subgraphs into new meta-nodes of the collection graph; identification of the stable graph reducing the collection graph into zero or more distinct stories; assigning a similarity score for each pair of the stories based on a similarity between the corresponding stories; linking the stories into inlier stories based on the similarity score being greater than a first pre-determined threshold level.

Abstract: Techniques that facilitate integrated circuit defect detection using pattern images are provided. In one example, a system generates an equalized pattern image of a pattern image associated with a module under test based on an adaptive contrast equalization technique. The system also identifies a first set of features of the equalized pattern image based on a feature point detection technique and aligns the equalized pattern image with a reference pattern image based on the first set of features and a second set of features of the reference pattern image. Furthermore, the system compares a first set of light intensities of the equalized pattern image to a second set of light intensities of the reference pattern image to identify one or more regions of the module under test that satisfy a defined criterion associated with a defect for the module under test.

Abstract: A compression system for compressing a video received from an imaging device, the compression system including a transformation estimation device configured to estimate, based on pixel transformations between a first frame and a second frame of the video, a transformation matrix, an encoding device configured to encode the second frame as an increment with the first frame based on the transformation matrix generated by the transformation device, a compression device configured to compress the increments into compressed data, and a reconstruction device configured to reconstruct the first frame and the second frame using the transformation matrix generated by the transformation estimation device.

Abstract: Embodiments include method, systems and computer program products for reducing surface reflectance, for example in a photograph. Aspects include receiving an image set containing a plurality of images of an object. Aspects also include determining geometric transformations for the images and constructing a panorama of the object from the images using the geometric transformations. Aspects also include replacing a portion in the panorama with a corresponding replacement portion from the image set.

Abstract: A method includes obtaining two-dimensional measurements of a given scene from sensors, the given scene comprising a plurality of scene points, distributing the given scene into bundles each associated with at least one sensor and at least one scene point, establishing constraints associated with the sensors and the plurality of scene points that are associated with two different bundles, estimating, individually for each of the bundles, a set of parameters for the at least one sensor and the at least one scene point associated with that bundle utilizing at least one of the two-dimensional measurements, generating a consensus parameter set for the one or more sensors and the plurality of scene points based on the estimated parameter sets, the established constraints being utilized to reconcile differences in parameter values in the estimated parameter sets, and producing a three-dimensional representation of the given scene utilizing the consensus parameter set.

Abstract: A discrepancy detection system for detecting a discrepancy between a plurality of video images of a same scene captured by an imaging device at different times, the system including a correspondence point detection device configured to detect corresponding points matching each other between a first video image sequence of the plurality of video images and a second video image sequence of the plurality of video images and a comparison device configured to compare image content of the first video image sequence and the second video image sequence for the discrepancy in the image content between the first video image sequence and the second video image sequence.