Abstract: A new design strategy based upon finite state machine models is used to develop a policy administration system. The policy administration system comprises a plurality of finite state machined-based households, each of which is defined by a set of states represented by data that describe or relate to various policies associated with each household, a set of events represented by transactions that operate on the data, and/or a set of transition functions represented by transaction logics and/or product rules that govern how the transactions are processed. In this manner, each finite state machine-based household becomes a type of self-contained policy administration system that may be executed and managed concurrently. Each policy may be an insurance policy, such as an auto, home, life, renters, personal articles, or health insurance policy. Each finite state machine-based or virtual household may facilitate managing, updating, or generating insurance policies for the household and/or household members.

Abstract: The present embodiments relate to detecting fraudulent insurance claims. According to certain aspects, a central monitoring server may receive and examine data detected by at least one unmanned vehicle and generate an estimated insurance claim for a loss event. The central monitoring server may then receive an actual insurance claim relating to the loss event, and may compare the estimated insurance claim to the actual insurance claim to identify potential buildup included in the actual insurance claim. If buildup is detected, the central monitoring server may then process the actual insurance claim accordingly based upon the potential buildup. As a result, claim monies may be paid to insureds that more accurately reflect actual losses resulting from the loss event, and insurance cost savings may be ultimately passed onto typical insurance customers.

Abstract: Methods and systems are provided to automatically generate insurance policy data and/or update insurance policies. More particularly, methods and systems are provided to automatically generate insurance policy data and/or update insurance policies based upon life events and/or life event data. The life events and/or life event data may be representative of personal changes and/or life events (e.g., marriage; child birth; divorce; personal injury; purchase of a house; purchase of a vehicle; adoption; move to a different home, apartment, or state; employment change; health change; etc.) related to an insured person. The life events and/or life event data may automatically lead to providing insurance recommendations and/or adjusting insurance policies that provide insurance-based cost savings to insurance customers, more appropriate insurance coverage given the new circumstances, and/or enhance the customer experience.

Abstract: Systems, methods, and non-transitory computer readable media are configured to provide a plurality of control modes to selectively control display of content items in a news feed of a user. One or more content items associated with a predetermined entity selected by the user or a predetermined event are identified based on at least one control mode of the plurality of control modes. Display of at least one content item of the one or more content items is provided in the news feed of the user.

Abstract: In one embodiment, a method includes receiving a query associated with a trending topic selected by a user of an online social network from multiple trending topics and rewriting the query into a query command including multiple query constraints. The method also includes identifying one or more posts matching the query command, where each identified post has privacy settings making the post visible to all users of the online social network, and calculating, for each of the identified posts, a score for the post based on one or more post-quality features, where the score is calculated using a machine-learning model that assigns a particular weight to each of the one or more post-quality features. The method also includes sending to the user a commentary module including at least a portion of each of one or more of the identified posts having scores higher than a threshold score.

Abstract: Offline sharing of content is performed. An offline request to share content associated with a content sharing platform to a social networking service is received by a processing device of a user device. The offline request is received while the user device is not connected to a network. A share request is generated for the content in view of the social networking service. The share request for the content is generated while the user device is not connected to the network. Upon determining that a network connection is available, the share request for the content is provided to the social networking service.

Abstract: A power feeding management apparatus includes: a power feeding side identification information acquiring unit that acquires power feeding side identification information for identifying the power feeding side from a device or a user's communication terminal in the power feeding side; a power receiving side identification information acquiring unit that acquires power receiving side identification information for identifying the power receiving side from a device or a user's communication terminal in the power receiving side; a power feeding information acquiring unit that acquires power feeding information about a power amount fed from the device in the power feeding side or a power amount fed to the device in the power receiving side; and a transmission unit that associates with one another: the power feeding side identification information; the power receiving side identification information; and the power feeding information, and transmits them to a transaction management apparatus.

Abstract: Embodiments of systems, program products, and methods to manage content and distribution of media are provided. An embodiment of a system, for example, can include a communication network for transmitting media files, a content management server having a processor and memory coupled to the processor, a database accessible to the processor of the content management server and including media files associated with metadata records, a plurality of content management developer computers to provide content management developers with online access over the communication network to the media files and associated metadata records to thereby edit the metadata records, a plurality of user computers accessible to the communication network to provide the users with access to the media files over the communication network to thereby view and edit at least portions of respective metadata records.

Abstract: The invention disclosed relates to a claim automatically computer-translating device, comprising: a fundamental element noun capturing unit, a definition capturing unit, and a data translation unit, for automatically computer-translating a first language claim into a second language claim.

Abstract: Code which when executed on a server is for recording a verified contract outcome associated with contracts before adding to a blockchain. The code receives protocols associated with a triggering event intended to occur in the future. If no disputed information is received within a predetermined amount of time after the triggering event, then recording the contract outcome information on a distributed ledger. If disputed information is received within the predetermined amount of time, then having a decentralized network of third-parties perform a third-party analysis of the disputed information. Displaying graphical representations associated with status information before a consensus contract outcome is determined based upon third-party analysis.

Abstract: In one example embodiment, an information processing apparatus causes a display device to display a first image from images associated with an observation target object. The images include the first image and a second image which corresponds to an annotation mark. In this embodiment, the information processing apparatus also causes the display device to display the annotation mark corresponding to the second image. In this embodiment, the displayed annotation mark overlaps the first image.

Abstract: An image processing apparatus that provides privacy protection and monitoring acquires a background image and a captured image, extracts an object region corresponding to a predetermined object from the captured image, sets a masking color based on color information about the background image, and masks the extracted object region based on the masking color.

Abstract: In one embodiment of the present invention a driver configures a graphics pipeline implemented in a cache tiling architecture to perform dynamically-defined multi-pass rendering sequences. In operation, based on sequence-specific configuration data, the driver determines an optimized tile size and, for each pixel in each pass, the set of pixels in each previous pass that influence the processing of the pixel. The driver then configures the graphics pipeline to perform per-tile rendering operations in a region that is translated by a pass-specific offset backward—vertically and/or horizontally—along a tiled caching traversal line. Notably, the offset ensures that the required pixel data from previous passes is available. The driver further configures the graphics pipeline to store the rendered data in cache lines.

Abstract: In a video capture system, a virtual lens is simulated when applying a crop or zoom effect to an input video. An input video frame is received from the input video that has a first field of view and an input lens distortion caused by a lens used to capture the input video frame. A selection of a sub-frame representing a portion of the input video frame is obtained that has a second field of view smaller than the first field of view. The sub-frame is processed to remap the input lens distortion to a desired lens distortion in the sub-frame. The processed sub-frame is the outputted.

Abstract: An immersive three dimensional (3-D) virtual reality sharing program is disclosed. The system comprises a content controller configured to determine the physical locations of a reference point and boundary in a physical space and map them to a corresponding point and boundary in a virtual world. The physical location and orientation of a user device relative to the reference point and boundary are used to determine a corresponding location and orientation in the 3-D virtual world. A representation of a portion of the 3-D virtual world corresponding to the determined location and orientation is rendered at the user device. As the user device is moved in the physical world, a corresponding updated location in the 3-D virtual world is determined, and the rendered representation updated. Thus, the user device acts as a window into the 3-D virtual world.

Abstract: A multi-user application system environment engine has an application system that, in turn, includes a simulation engine and a virtualized software environment. The simulation engine runs on top of the virtualized software environment and includes a declaration processor, a scene tree object manager, a persistence processor in communication with the scene tree object manager, a visual editor, an editor broadcaster, an editor listener, and a rendering processor, coupled to the virtualized software environment, to requisition hardware resources to cause physical manifestation of an instantiated scene tree of objects.

Abstract: A display device includes a display unit which includes a plurality of pixels and a display area having a corner of a non-right angular shape and a signal controller which controls the display unit to display an image through the plurality of pixels based on an input image signal, detects a specific pattern in a partial region, of the image, corresponding to a partial area, of the display unit, including the corner of the non-right angular shape, and controls the display unit to display a partial image corresponding to the partial region of the image in the display area without crossing the corner, according to a position of the specific pattern in the partial region.

Abstract: Systems and methods of enhancing the resolution of digital terrain models (DTM) for location-based applications and analyses. The DTM enhancement process takes the signature of the input image (e.g., via the input image and a noise surface file with similar characteristics as the sensor used to capture the input image) and applies it to the DTM without including large features such as buildings. The disclosed methods include utilize a process similar to that used for enhancing a DSM based on mapping the changing intensity from the image file to changes in elevation in the DSM using a regression over a local neighborhood of pixels. Further, the disclosed methods do not rely on information about the sensors and are extendable to be able to utilize any types of images. Additionally, the disclosed embodiments are sensor agnostic and can be applied on any type of image collected by any type of sensor.

Abstract: Mechanisms are provided to implement an adversarial network framework. Using an adversarial training technique, an image obfuscation engine operating as a generator in the adversarial network framework is trained to determine a privacy protection layer to be applied by the image obfuscation engine to input image data. The image obfuscation engine applies the determined privacy protection layer to an input image captured by an image capture device to generate obfuscated image data. The obfuscated image data is transmitted to a remotely located image recognition service, via at least one data network, for performance of image recognition operations.

Abstract: A digital medium environment is described to improve creation and rasterization of a shape through pixel alignment. In one example, a pixel alignment system is implemented at least partially in hardware of a computing device. The pixel alignment system receives an input that specifies a geometry, a stroke setting, and a location that serves as a basis to position the shape. The pixel alignment system then snaps the location as specified by the at least one input to a snapped location based on a pixel grid. The snapped location based on the geometry, the stroke setting, and the location as specified by the input. A rasterization module is then employed to rasterize the shape as pixels based on the snapped location.

Abstract: A composite image is generated by capturing a sequence of images of a scene over a time interval; pulsing a flash to illuminate the scene multiple times within the time interval; and constructing the composite image from the captured images such that the composite image includes at least a first region constructed from a first subset of the images and a second region constructed from a second subset of the images, the first subset of the images captured sequentially after the second subset of the images.

Abstract: A method for replacing image data in a destination region that is divided into sub-pieces along one or more cutting paths, which start and end at two different points on the border, and finding replacement data for the sub-pieces. The cutting paths may be determined as a function of the type of image structured at the start and the end points. The cutting paths may also be determined as a function of the area of the sub-pieces and the lengths of the cutting paths. Optionally, the destination region may be determined by a spot detection algorithm. Further optionally, the spot detection algorithm may comprise calculation of a high pass filter, or detection of areas of luminosity and border-to-volume ratios. A method for moving an image element within an image is also provided.

Abstract: The disclosure relates generally to the field of high dynamic range (HDR) imaging and addresses the way of expanding the dynamic range of low dynamic range images. A method having the steps of obtaining expansion exponent map data for each one of a plurality of clusters of reference images, obtaining, for each cluster, one feature, called visual feature, representative of the luminance of reference images of the cluster, obtaining a visual feature for the image, comparing the visual feature of the image with the visual features of the clusters according to a distance criterion, selecting the cluster, the visual feature of which is the closest to the visual feature of the image, and applying an expansion exponent map defined by the expansion exponent map data of the selected cluster to the image is described.

Abstract: The processing of RGB image data can be optimized by performing optimization operations on the image data when it is converted into the YCbCr color space. For each Y-layer of the YCbCr image data, a 2D LUT is generated. The YCbCr image data is converted into optimized CbCr image data using the 2D LUTs, and optimized YCbCr image data is generated by blending CbCr image data corresponding to multiple Y-layers. The optimized YCbCr image data is converted into sRGB image data, and a tone curve is applied to the sRGB image data to produce optimized sRGB image data.

Abstract: A color fringe is corrected by detecting a transition region that includes pixels adjacent in a linear direction. A color difference distribution in the transition region is modeled by a logistic function. Pixel color values in the transition region are corrected using the logistic function to maximize a correlation between a correction color and a reference color with respect to the transition region. Color distortion such as color fringes is corrected without corrupting the original colors of the image by modeling the color difference by the logistic function while maximizing the correlation using information of the undistorted region. A calculation cost is reduced by reducing the number of the parameters required to optimize the logistic function.

Abstract: Described herein are various technologies relating to constructing a statistically-normalized coherence (SNC) image. A plurality of synthetic aperture radar (SAR) images of a scene are generated based upon radar signals directed towards and reflected off of the scene, and a plurality of coherence change detection (CCD) images of the scene are generated based upon the SAR images. The CCD images are registered with one another, and mean and variance are computed on a pixel-wise basis. A new CCD image is subsequently received, and registered with the plurality of CCD images. The SNC image is generated based upon the computed mean and variance values for each pixel in the registered CCD images, and further based upon values of pixels in the new CCD image. The SNC image identifies locations in the scene where anomalous activity is represented in the new CCD image.

Abstract: A three-dimensional image data reviewing device includes a processor that obtains first distension data for causing a thermally distensible layer of a thermally distensible sheet to distend from one of a front surface and a rear surface of the thermally distensible sheet and that obtains second distension data for causing the thermally distensible layer to distend from another of the front surface and the rear surface, a display unit connected to the processor, wherein the processor causes the display unit to display, on a preview screen, an appearance of the thermally distensible sheet after the thermally distensible layer is caused to distend in accordance with the first distension data and the second distension data, the processor also causing the display unit to identifiably display, in a prescribed manner, an abnormal region of the thermally distensible layer where the thermally distensible layer is predicted to distend abnormally.

Abstract: It is an object of the present invention to provide a semiconductor inspection apparatus capable of well carrying out position alignment and correctly determining whether the position alignment has been carried out successfully or has ended in a failure without operator interventions even if an inspected image is an image having few characteristics as is the case with a repetitive pattern or the inspected image is an image having a complicated shape.

Abstract: A life determination device comprises: an image acquiring unit that acquires an image showing a result of machining by cutting on a target of the machining by cutting; a feature quantity acquiring unit that acquires a feature quantity indicating the quality of the result of the machining by cutting from the image acquired by the image acquiring unit; and a life determining unit that determines the life of a cutting tool having been used for the machining by cutting on the target based on the feature quantity acquired by the feature quantity acquiring unit.

Abstract: A defect detection method includes acquiring a reference image; selecting a target region of the reference image; identifying, based on a matching metric, one or more comparative regions of the reference image corresponding to the target region; acquiring a test image; masking the test image with the target region of the reference image and the one or more comparative regions of the reference image; defining a defect threshold for the target region in the test image based on the one or more comparative regions in the test image; and determining whether the target region of the test image contains a defect based on the defect threshold.

Abstract: Provision is made of a method for determining a distance between a first structure element on a substrate and a second structure element, comprising the following steps: providing a first series of first images, wherein each of the first images comprises at least the first structure element, providing a second series of second images, wherein each of the second images comprises at least the second structure element. The method includes, for each image of the first and second series: determining a respective correlation function from a respective first image of the first series and a respective second image of the second series. The method includes determining an ensemble correlation function from the correlation functions, and determining the distance from the ensemble correlation function. Furthermore, a microscope for carrying out the method is provided.

Abstract: A computer-implemented method, system and non-transitory computer readable storage medium for classifying a region of interest of a subject, including receiving imaging data comprising at least one image element, the imaging data comprising the region of interest of the subject; providing a plurality of atlases, each of the plurality of atlases having a candidate region that corresponds to the region of interest of the imaging data, each of the plurality of atlases having at least one image element with associated location and property information; co-registering the plurality of atlases to the imaging data, using at least one processor; assigning a probability to generate a labeling parameter for the region of interest, the probability being associated with each atlas; and classifying the region of interest of the subject based on the assigning.

Abstract: A processing apparatus processes an image signal generated by pixels that have received light from an object irradiated with first wavelength light. The processing apparatus includes a processor having hardware. The processor is configured to: extract first and second image signals from the image signal of one frame generated by the pixels, the first image signal being generated by a pixel that has received the first wavelength light, the second image signal being generated by a pixel that has received second wavelength light that is fluorescence emitted in response to the first wavelength light; estimate an image signal to be generated by the pixel that has received the second wavelength light, based on the first image signal; and calculate a difference, on a corresponding image signal portion, between the second image signal and the estimated image signal, thereby to obtain a differential image signal.

Abstract: Medical image data is identified, and a lung field region and an emphysema region in each of a plurality of tomographic images are extracted. A mechanism is provided, which is capable of calculating the ratio of the emphysema region to the lung field region, and displaying an image of the medical image data and a value representing the calculated ratio in association with each other.

Abstract: Described embodiments include a processor that receives signals from a probe, as the probe is placed at respective locations on a body of a subject, and derives, from the signals, a set of points that correspond to the respective locations. The processor then registers the set of points with a three-dimensional image of the body, by identifying, for each of the points, one or more voxels of the image whose respective surface normals are oriented within a given angle of an orientation at which the probe was held at the location to which the point corresponds, and computing a transformation that aligns each of the points with a selected one of the voxels that were identified for the point. The processor then tracks, based on the registering, a location of an intrabody tool, in a coordinate system of an imaging device that was used to acquire the image.

Abstract: An analysis system according to the present technique includes a feature amount calculation section and a reference position calculation section. The feature amount calculation section calculates a feature amount in each of a plurality of moving images of a sample including an observation object, that have been captured at different focal positions, the plurality of moving images having the same phase of movements. The reference position calculation section calculates a reference position of the observation object in a focus direction based on the feature amount.

Abstract: A system may include one or more processors configured to receive a plurality of images representing an environment. The images may include image data generated by an image capture device. The processors may also be configured to transmit the image data to an image segmentation network configured to segment the images. The processors may also be configured to receive sensor data associated with the environment including sensor data generated by a sensor of a type different than an image capture device. The processors may be configured to associate the sensor data with segmented images to create a training dataset. The processors may be configured to transmit the training dataset to a machine learning network configured to run a sensor data segmentation model, and train the sensor data segmentation model using the training dataset, such that the sensor data segmentation model is configured to segment sensor data.

Abstract: Systems, devices, media, and methods are presented for gaze-based control of device operations. One method includes receiving a video stream from an imaging device, the video stream depicting one or more eyes, determining a gaze direction for the one or more eyes depicted in the video stream, detecting a change in the gaze direction of the one or more eyes, and triggering an operation in a client device based on the change in the gaze direction.

Abstract: An image processing apparatus includes a controller configured to control an image scanner to generate scanned data by scanning an image recorded on a document sheet, calculate an edge intensity of each of pixels included in the scanned data, determine a binarization threshold from pixel values of particular pixels, the particular pixels being a part of the pixels included in the scanned data, each particular pixel having a density value higher than density values of surrounding pixels thereof and having an edge intensity equal to or higher than an edge threshold, and generate a binary image from the scanned data, using the binarization threshold.

Abstract: Systems and methods described herein may relate to training an artificial neural network (ANN) using a differentiable Jaccard Loss approximation. An example embodiment may involve obtaining a training image and a corresponding ground truth mask that represents a desired segmentation of the training image. The embodiment may further involve applying an ANN on the training image to generate an output segmentation of the training image that depends on a plurality of weights of the ANN and determining a differentiable Jaccard Loss approximation based on the output segmentation of the training image and the ground truth mask. The embodiment also involves modifying one or more weights of the ANN based on the differentiable Jaccard Loss approximation and providing a representation of the ANN as modified to a mobile computing device.

Abstract: Provided is a method of separating a foreground and a background by extracting a depth image through a stereo camera, generating an occupancy grid map on the basis of the depth image, predicting a free space, and computing a membership value, the method including setting a threshold value of a foreground object existing in a free space boundary region of the predicted free space, determining whether the membership value reaches the threshold value of the foreground object while the membership value is computed, terminating the computing of the membership value when it is determined that the membership value being computed reaches the threshold value of the foreground object in the determining, and separating a foreground and a background through the computed membership value.

Abstract: A monitoring device includes a masking invalid region setter that sets a masking invalid region in video of a monitoring area in accordance with a manipulation input of a user, a moving object detector that detects a moving object from the video of the monitoring area and acquires region information for each moving object, a process target selector that selects whether or not to set an image region of a moving object detected by the moving object detector as a target of the masking process in accordance with whether or not the image region is positioned in the masking invalid region, and a video output controller that generates and outputs an output video in which the masking process is implemented only on an image region of a moving object set as a target of the masking process by the process target selector.

Abstract: A method for multi-sensor fusion using a projective particle filter includes measuring, using a plurality of sensors, data related to one or more objects. A higher dimensional state space may be sampled using particle data. Particle data may be projected onto an observation space to extract measurement data. The measurement data are combined to infer higher-dimensional information. The higher dimensional state space includes presumed information related to one or more states associated with the one or more objects. The higher-dimensional information includes estimated information related to one or more states associated with the one or more objects.

Abstract: A recognition device and method for recognizing a target. The recognition device includes a sensor and an electronic processor. The electronic processor configured to receive the characteristic from the sensor. The electronic processor identifies a profile based on the characteristic and compares the profile to a plurality of predetermined profiles to determine an identity profile. The electronic processor identifies the target based on the identity profile and determines, based on at least one selected from the group consisting of a location of the target, speed of the target, and a direction of movement of the target, a virtual geographic boundary. The electronic processor causes a transmission of the at least one selected from the group consisting of the identity profile and the characteristic to at least one associated device located in the virtual geographic boundary.

Abstract: A projected image item tracking system that analyzes projected camera images to determine items taken from, placed on, or moved on a shelf or other area in an autonomous store. The items and actions performed on them may then be attributed to a shopper near the area. Projected images may be combined to generate a 3D volume difference between the state of the area before and after shopper interaction. The volume difference may be calculated using plane-sweep stereo, or using convolutional neural networks. Because these methods may be computationally intensive, the system may first localize a change volume where items appear to have been displaced, and then generate a volume difference only within that change volume. This optimization results in significant savings in power consumption and in more rapid identification of items. The 3D volume difference may also indicate the quantity of items displaced, for example from a vertical stack.

Abstract: An electronic apparatus is provided. The apparatus includes a storage and a processor configured to convert an original image to a spherical image, to acquire a plurality of two-dimensional (2D) images corresponding to a respective plurality of points on the spherical image by projecting the spherical image onto a plane with reference to the respective plurality of points on the spherical image, and to store the acquired 2D images in the storage.

Abstract: A method for registering two or more three-dimensional (3D) point clouds. The method includes, with a surveying instrument, obtaining a first 3D point cloud of a first setting at a first position, initiating a first Simultaneous Localisation and Mapping (SLAM) process by capturing first initial image data at the first position with a camera unit comprised by the surveying instrument, wherein the first initial image data and the first 3D point cloud share a first overlap, finalising the first SLAM process at the second position by capturing first final image data with the camera unit, wherein the first final image data are comprised by the first image data, with the surveying instrument, obtaining a second 3D point cloud of a second setting at the second position, and based on the first SLAM process, registering the first 3D point cloud and the second 3D point cloud relative to each other.

Abstract: The invention relates to an imaging device (10) for registration of different imaging modalities, an imaging system (1) for registration of different imaging modalities, a method for registration of different imaging modalities, a computer program element for controlling such device and a computer readable medium having stored such computer program element. The imaging system (1) for registration of different imaging modalities comprises a first imaging modality (2), a second imaging modality (3), and an imaging device (10) for registration of different imaging modalities. The imaging device (10) for registration of different imaging modalities comprises a model provision unit (11), a first image data provision unit (12), a processing unit (13), a second image data provision unit (14), and a registration unit (15). The model provision unit (11) provides a cavity model of a visceral cavity.

Abstract: The present disclosure attempts to evaluate how the texture of an object is perceived based on visual features of the topological skeleton of the object. A camera S1 obtains a color image by taking an image of an object, which serves as an evaluation target. Within the image obtained, a visual feature area, which is likely to strike a person's eye when the person claps his/her eyes on the object, and an intensity of a visual stimulus of each pixel of the visual feature area are extracted. Visual skeleton features of each pixel of the image are determined within a contour region which is composed of the visual feature areas extracted. The visual skeleton features determined are shown on a display.

Abstract: A method including receiving an image of a scene illuminated by both a predetermined structured light pattern and a flood fill illumination, generating an active brightness image of the scene based on the received image of the scene including detecting a plurality of dots of the predetermined structured light pattern, and removing the plurality of dots of the predetermined structured light pattern from the active brightness image, and generating a depth map of the scene based on the received image and the active brightness image.