Abstract: A system that includes a vehicle system that monitors characteristics of an autonomous and/or semi-autonomous driving program. The system includes a processor that receives a first set of data from the vehicle system. The first set of data is associated with the autonomous and/or semi-autonomous driving program. The processor determines a rate premium based on the first set of data. The processor then displays a visualization that includes the rate premium on a display. The processor receives a second set of data from the vehicle system. The second set of data is associated with monitored performance of the autonomous and/or semi-autonomous driving program. The processor adjusts the rate premium based on the second set of data and displays an adjusted rate premium.

Abstract: Provided herein is a modeling computing device including a processor in communication with a memory device. The processor is configured to: (i) retrieve, from the at least one memory device, historical data associated with a plurality of users, wherein the historical data includes historical liability amount data and historical user data, and wherein the historical user data includes at least one of historical personal information, historical vehicle telematics data, and historical environmental data, (ii) generate a model that relates the historical liability amount data and the historical user data, (iii) store the model in the at least one memory device, (iv) collect current user data associated with a candidate user, wherein the current user data includes current personal information, current vehicle telematics data, and current environmental data, and (v) analyze the collected current user data using the generated model.

Abstract: Apparatuses and methods for AI-based ledger prediction are provided. A processor is configured by instructions on a memory to receive and categorize a ledger file to a ledger type based on the data contained within the ledger file. The ledger data may contain information related to an insurance policy and investments made based on the payments into the policy over a period of time. The processor may be configured to utilize machine learning to generate a prediction of a value or values related to the ledger data, for example a retirement distribution amount.

Abstract: A system and method using blockchain for monitoring and tracking service provider involvement in a transaction on behalf of a customer company. In the system and method, session information related to the transactions are encrypted using an encryption key specific to a company on whose behalf the service provider is acting. The encrypted action is signed the with a private key of a public/private key pair. The signed, encrypted action record is placed on the blockchain, which can later be accessed to review the actions on behalf of the specific company.

Abstract: Systems, methods, and non-transitory computer readable media for visualizing user spending data in an altered reality are provided. Spending data includes items purchased, budgets for specific rooms or categories, prices paid, dates of purchase, and amounts spent. The user may interact within the altered reality to manage spending and move budgets between rooms or categories.

Abstract: A service engine determines that an entity meets a first nexus establishment condition for a first domain and a second nexus establishment condition for a second domain. The service engine then computes a first selected resource for the first domain and a second selected resource for the second domain. When the service engine determines that the entity no longer meets the second nexus establishment condition for the second domain, the service engine determines a nexus-ending date for the second domain. Prior to the nexus-ending date being satisfied, the service engine continues to compute the first selected resource for the first domain and the second selected resource for the second domain. In response to the nexus-ending date being satisfied, the service engine computes the first selected resource for the first domain but does not compute the second selected resource for the second domain.

Abstract: A system comprises a server including a port, memory and processing circuitry. The port is configured to receive (i) a drawing file associated with an isometric drawing of an asset at an inspection site including indications of condition monitoring locations (CMLs) for the asset, and (ii) inspection measurement data for the asset, the inspection measurement data including inspection measurements associated with the CMLs. The memory is configured to store the drawing file and the inspection measurement data. The processing circuitry is configured to use the inspection data and the drawing file to generate, using the inspection measurement data and the drawing file, (i) survey image data for display and (ii) metadata for the survey image data, the metadata including survey image coordinates for the CMLs and the inspection measurements associated with the CMLs.

Abstract: An aggregated distribution system includes an HVAC controller, a battery controller, and an aggregated data management engine. The aggregated data management engine is configured to retrieve an HVAC energy usage profile and retrieve a battery energy usage profile. The aggregated distribution system also includes distribution engine configured to forward a first set of HVAC dual variables and forward a first set of battery dual variables to a first neighboring unit of the aggregated distribution system, receive one or more additional sets of HVAC dual variables and one or more additional sets of battery dual variables from one or more neighboring units of the aggregated distribution system, update the HVAC energy usage profile with the one or more additional sets of HVAC dual vehicles and update the battery energy usage profile with the one or more additional sets of battery dual vehicles.

Abstract: A construction management system includes a position determination unit that determines whether or not a transport vehicle associated with a construction site is located within a notification area associated with the construction site, and an output unit that outputs an indication that the transport vehicle is located within the notification area to a communication terminal associated with the construction site when the position determination unit determines that the transport vehicle is located within the notification area.

Abstract: Provided herein are media, systems, and methods that identify the address of a rental property from public sources (e.g., rental listings, maps, and county property records). A data mining task process may be performed, by each of a plurality of first data ingestion interfaces to a unique external property data source, to determine at least one property record depiction, each property record depiction associated with a property record. A first machine learning algorithm may be applied to the at least one rental property depiction and the at least one property record depiction from each data source to identify one or more common property records, wherein each common property record comprises a property record that refers to the rental property. A data mining task process may be performed, by a second data ingestion interface to the one or more common property records to determine the street address of the rental property.

Abstract: An online education platform manages and integrates a number of education services for users of the platform, including job recall services. These job recall services include management and distribution of j ob recall materials that test whether job applicants have acquired desired knowledge or skills for a particular job opening or class of jobs. The job recall materials are uploaded to the education platform and mapped to one or more learning units. Each learning unit is associated with an educational course and includes a distinct concept in the associated course. Responsive to a user of the education platform completing the learning unit to which a job recall material is mapped, the job recall material is recommended to the user.

Abstract: Systems and methods include based on detecting of interaction with an item in a list of individual standards criterion required by a program, displaying an edit details sub screen corresponding to a single individual standards criterion associated with the item in the list, and when a user save interaction with the edit details sub screen is detected, transmitting, over a network to a server, any new user input entered into the user input field, and updating or adding, by the server, program standards information to a database.

Abstract: Systems or methods for collective purchasing by controlled-environment facility residents may employ a plurality of controlled-environment facility resident communication and/or media devices, each associated with a respective controlled-environment facility resident. These devices, disposed within one or more controlled-environment facilities, may each present an interface for purchasing goods and/or services via the device. The devices may each offer, via the interface, an option to collectively purchase a single good or service by a number of controlled-environment facility residents and may accept an indication of partial payment from the resident associated with the device.

Abstract: Techniques are described for storing customer data in compliance with data retention policies, including data retention policies that may imposed by law or regulation. A merchant website may be configured to gather customer information using an inline form obtained from a service provider, where the inline form protects the customer information from being accessed by the website. The customer information is provided from the inline form to the service provider, and the service provider stores the customer information for the merchant, while applying appropriate data retention policies. The merchant may avoid potential violations of retention policies by accessing the stored information without committing it to local persistent memory. In some cases, the stored information may be presented to the merchant through an inline form that protects the information from being accessed by computing components of the merchant.

Abstract: Generating authentication credentials includes receiving from a first user input identifying a customer identifier for an online account with a business or organization and a residential or business physical address, and sending via a network a notification to a first user system to follow instructions on a mail piece to be received by the first user. The mail piece is physically sent via a distribution network to the physical address and an online application is activated in response to scanning a coded indicia on the mail piece. Data indicative of an identity of the first user is received and the identity of the first user is verified based on at least information associated with the coded indicia and the received data. A recommendation is generated whether to approve the online account and an electronic credential is created for the first user based on acceptance of the online account.

Abstract: A system provides for digital issuance of surety bonds and corresponding powers of attorney to eliminate fraud using multiple security layers, and includes a server communicating with client devices of: surety companies, agents, contractors, and obligees. A surety company accesses a GUI to grant power of attorney to an agent; the agent accesses a GUI to prepare a digital bond for the contractor. The draft bond is signed digitally by the agent and contractor in the closed system. The server generates and subsequently displays a unique identifier on both the executed bond and associated power of attorney, to act as a digital stapler to prevent subsequent fraudulent use of the power of attorney independent of that executed bond. An audit trail provided by the executed bond includes hyperlinks to: time-date stamps of the digital signatures; and IP Addresses of the client devices used for the digital signatures.

Abstract: In one embodiment, a method includes receiving, from a requestor, a request for an on-demand identity product in relation to an identity of a consumer, the request comprising personally identifying information (PII) of the consumer. The method also includes executing, using the PII, a partial registration of the consumer for the on-demand identity product, the partial registration omitting satisfaction of at least one security requirement. The method additionally includes determining whether delayed authentication is enabled for the on-demand identity product. Moreover, the method includes, responsive to a determination that delayed authentication is enabled for the on-demand identity product: conditionally suspending the at least one security requirement; initiating provision of the on-demand identity product to the requestor; and restricting the requestor's access to determined sensitive data resulting from the initiated provision at least until the at least one security requirement is satisfied.

Abstract: Systems and methods for providing autonomous chauffeur services. In particular, systems and methods are provided to integrate users' calendars with a ridehail application to provide personal chauffeur-type services. Integrating a ridehail service application with a user's calendar and online schedule enables the ridehail service to act as a personal around-the-clock chauffeur, with an autonomous vehicle appearing when needed and taking the user to their destination with no additional input.

Abstract: A method of light messaging, in which a hidden message is transmitted via coded image emitted from a display device and retrieved using a camera, comprises training a camera-display transfer model that receives images with hidden messages from an embedding model and generates modified coded images based on training data that accounts for properties of displays and cameras, the modified coded images delivered to a recovery model that decodes the hidden messages and outputs hidden message determinations, training both the embedding and recovery models using the CDTF model and training data to minimize differences between the input hidden messages and the hidden message determinations. After training the CDTF model and other models, embedding a hidden message in a carrier image using the embedding model, displaying the coded image using the display device, receiving the coded image at the camera, and retrieving the hidden message using the recovery model.

Abstract: Provided is an apparatus for preventing a content leak, including: a view request receiving unit for receiving a content view request for view target content to obtain content viewer information; a marker form determining unit for determining a marker form regarding a location of the view target content where a marker for each character is added, according to the content viewer information; a marking method determining unit for determining a marking method regarding a type or order of markers added to the marker form; and a modified content generating unit for generating modified content by adding, to the view target content, one or more markers corresponding to the content viewer information, based on the marker form and the marking method.

Abstract: A digital watermark analysis apparatus, comprising an image capturing unit for capturing a printed product where additional information is embedded by superimposing a pattern on an image to acquire a captured image, a calculation unit for calculating a spatial frequency characteristic of each small area in the captured image, a specifying unit for specifying an embedded signal strength and an embedding position of the additional information, a decision unit for deciding, based on the embedding position information and the embedded signal strength information, a position in the captured image of a marker detection area for detecting a marker as a reference position for acquiring the additional information, and an acquisition unit for detecting a marker in the marker detection area and acquiring the additional information in the captured image with reference to the detected marker.

Abstract: The present disclosure relates to methods and apparatus for mapping a source location of input data for processing by a graphics processing unit. The apparatus can configure a processing element of the graphics processing unit with a predefined rule for decoding a data source parameter for executing a task by the graphics processing unit. Moreover, the apparatus can store the parameter in local storage of the processing element and configure the processing element to decode the parameter according to the at least one predefined rule to determine a source location of the input data and at least one relationship between invocations of the task. The apparatus can also load, to the local storage of the processing element, the input data from a plurality of memory addresses of the source location determined by the parameter. A one logic unit can then execute the task on the loaded input data.

Abstract: When generating a graphics processing output, a sequence of one or more of primitives to be processed when generating the output is assembled from a set of vertex indices provided for the output based on primitive configuration information provided for the output, each assembled primitive of the sequence of assembled primitives comprising an identifier for the primitive and a set of one or more vertex indices for the primitive. One or more attributes for vertices of the assembled primitives are then shaded and fetched based on the vertex indices of the assembled primitives. The assembled primitives including their shaded fetched vertex attribute(s) are then provided to later stages of the graphics processing pipeline for processing.

Abstract: In tile-based graphics processing systems, a tiling unit determines which tiles of a rendering space a primitive is in, such that the primitives in a tile can be rendered. Rather than performing tiling calculations for each tile in a bounding box for a primitive, tiling tests can be performed for a subset of the tiles. Then the results of the tiling tests for the subset of tiles can be used to determine whether the primitive is in other tiles which are located within a region bounded by two or more of the tiles of the subset. In this way the tiling process can be implemented without performing tiling calculations for all of the tiles in the bounding box for a primitive. Reducing the number of tiling calculations can help to improve the efficiency of the graphics processing system (in terms of speed and power consumption) for rendering a primitive.

Abstract: A method performed by an electronic device is described. The method includes obtaining a first image from a first camera, the first camera having a first focal length and a first field of view. The method also includes obtaining a second image from a second camera, the second camera having a second focal length and a second field of view disposed within the first field of view. The method further includes aligning at least a portion of the first image and at least a portion of the second image to produce aligned images. The method additionally includes fusing the aligned images based on a diffusion kernel to produce a fused image. The diffusion kernel indicates a threshold level over a gray level range. The method also includes outputting the fused image. The method may be performed for each of a plurality of frames of a video feed.

Abstract: A computer implemented method for warping virtual content includes receiving rendered virtual content data, the rendered virtual content data including a far depth. The method also includes receiving movement data indicating a user movement in a direction orthogonal to an optical axis. The method further includes generating warped rendered virtual content data based on the rendered virtual content data, the far depth, and the movement data.

Abstract: Provided are a method, an apparatus, and a device for identifying human body, including: acquiring a first original picture captured; adjusting a resolution according to the acquired picture to obtain a target picture; processing the target picture based on a preset model for human body feature point detection to determine whether the target picture includes human body information; if the target picture includes the human body information, determining human body area information in the original picture according to the human body information and inputting the human body area information into a filter, enabling that the filter determines target human body area information according to the human body area information; acquiring a next original picture captured; and determining a possible human body area in the next original picture according to the target human body area information, and performing the step of adjusting the resolution according to the possible human body area.

Abstract: A two-dimensional scalar field data visualization method and system based on colormap optimization including: receiving initial colormap and two-dimensional scalar field input data; calculating key colors in the initial colormap, and setting the key colors as control points; calculating a linear interpolation between pairwise control points using a piecewise linear function, generating and mapping a colormap to the two-dimensional scalar field data; establishing an energy optimization equation for control point coordinate positions and the mapped two-dimensional scalar field data, where the coordinate positions are numerical values between 0 and 1 obtained by normalizing index values in the colormap corresponding to the control points; and solving the energy optimization equation to obtain a control point coordinate position, generating a new colormap using the piecewise linear function and optimized control point coordinate position, and mapping the new colormap to the two-dimensional scalar field data, to o

Abstract: The architecture shown can perform global search, local search and local sub pixel search in a parallel or in a pipelined mode. All operations are in a streaming mode without the requirement of external intermediate data storage.

Abstract: Disclosed is an image processing method and apparatus. The image processing method includes extracting a content latent code and a style latent code for each of a plurality of input images, obtaining a content feature vector by calculating a weighted sum of content latent codes extracted from the input images based on a morphing control parameter, obtaining a style feature vector by calculating a weighted sum of style latent codes extracted from the input images based on the morphing control parameter, and generating a morphing image based on the content feature vector and the style feature vector.

Abstract: A medical device that includes a sensor including a filter array. The sensor is configured to capture a raw image and the filter array is configured to filter the raw image into a frame of raw pixel values including first, second, and third pixel values. The medical device includes non-transitory computer readable medium storing demosaicing instructions that, when executed, causes a processor to exclude the first pixel values from the frame of raw pixel values. The processor generates estimated second pixel values at locations of the excluded first pixel values and the third pixel values on the frame, and generates estimated third pixel values at locations of the excluded first pixel values and the second pixel values on the frame. The processor creates a processed image having a partial-resolution frame from the second pixel values, estimated second pixel values, third pixel values, and estimated third pixel values.

Abstract: Methods and apparatus for multi-encoder processing of high resolution content. In one embodiment, the method includes capturing high resolution imaging content; splitting up the captured high resolution imaging content into respective portions; feeding the split up portions to respective imaging encoders; packing encoded content from the respective imaging encoders into an A/V container; and storing and/or transmitting the A/V container. In another embodiment, the method includes retrieving and/or receiving an A/V container; splitting up the retrieved and/or received A/V container into respective portions; feeding the split up portions to respective imaging decoders; stitching the decoded imaging portions into a common imaging portion; and storing and/or displaying at least a portion of the common imaging portion.

Abstract: A method and apparatus are provided. The method includes generating a dataset for real-world super resolution (SR), training a first generative adversarial network (GAN), training a second GAN, and fusing an output of the first GAN and an output of the second GAN.

Abstract: An apparatus and method for efficiently improving virtual/real interactions in augmented reality. For example, one embodiment of a method comprises: capturing a raw image including depth data; identifying one or more regions of interest based on a detected spatial proximity of one or more virtual objects and one or more real objects; generating a super-resolution map of the one or more regions of interest using machine-learning techniques or results thereof; detecting interactions between the virtual objects and the real objects using the super-resolution map; and performing one or more graphics processing or general purpose processing operations based on the detected interactions.

Abstract: A machine learning based image processing architecture and associated applications are disclosed herein. In some embodiments, a machine learning framework is trained to learn low level image attributes such as object/scene types, geometries, placements, materials and textures, camera characteristics, lighting characteristics, contrast, noise statistics, etc. Thereafter, the machine learning framework may be employed to detect such attributes in other images and process the images at the attribute level.

Abstract: There is provided a method and a system for customized image denoising with interpretability. A deep neural network (NN) is trained to denoise an image on a training dataset including pairs of noisy and corresponding clean images acquired from an imaging apparatus, where during the training a structured covariance score (SCS) indicative of a performance of the deep NN in recovering content of corresponding clean images relative to the denoised image is determined based on sparse conditional correlations. A test noisy image is received and denoised by the deep NN. A user feedback score indicative of user satisfaction of the denoising is obtained. A quality parameter is obtained based on the SCS and a quality metric indicative of denoised image quality is obtained from a pretrained NN, and compared with the user feedback score. If the SCS is above the user feedback score, the deep NN is provided for denoising.

Abstract: Provided are an image processing apparatus, a control method, and a control program for more accurately removing the seal component from the input image including the seal. An image processing apparatus includes an acquisition module to acquire an input image, a detection module to detect a seal area corresponding to a seal in the input image, a calculation module to calculate a seal color ratio for each pixel in the seal area, a background information generating module to generate background information, a seal removal image generating module to generate a seal removal image acquired by removing a seal component from the input image, by synthesizing each pixel in the seal area and the background information corresponding to each pixel, based on the seal color ratio, and an output module to output the seal removal image or information generated using the seal removal image.

Abstract: A three-dimensional (3D) image-based facial verification method and apparatus is provided. The facial verification method may include capturing a facial image of a 3D face of a user, determining an occluded region in the captured facial image by comparing the captured facial image and an average facial image, generating a synthetic image by synthesizing the captured facial image and the average facial image based on the occluded region, and verifying the user based on the synthetic image.

Abstract: A method for enhancing a wide angle image to improve the perspectives and the visual appeal thereof wide-angle images uses custom adaptive dewarping. The method is based on the scene image content of recognized objects in the image, the position of these objects in the image, the depth of these objects in the scene with respect to other objects and the general context of the image.

Abstract: A computer program, a system and a method for normalizing medical images from a type of image acquisition device using a machine learning unit are disclosed. An embodiment of the method includes receiving a set of image data with images; decomposing each of the images of the set of images into components by incorporating at least information from different settings of the image acquisition device-specific image processing algorithms; and normalizing each of the components via a machine learning unit by processing at least information from the different settings of the image acquisition device-specific processing algorithms to provide a set of normalized images with a relatively decreased variability score.

Abstract: Embodiments of this disclosure include an image enhancement method and apparatus. The image enhancement may include obtaining an original image and performing synthesis processing on features of the original image to obtain a first illumination map corresponding to the original image. A resolution of the first illumination map may be lower than a resolution of the original image. The image enhancement may further include obtaining, based on the first illumination map, a mapping relationship between an image to an illumination map and performing mapping processing on the original image based on the mapping relationship to obtain a second illumination map. A resolution of the second illumination map may be equal to the resolution of the original image. The image enhancement may further include performing image enhancement processing on the original image according to the second illumination map to obtain a target image.

Abstract: Systems and methods are provided for displaying augmented reality image content perceived as being overlaid on background image content viewed through a light-transmissive viewing surface. Image processing circuitry may receive input augmented reality image data corresponding with a pixel position on the display panel, determine a perceived background brightness metric indicative of background brightness level at the pixel position based at least in part on captured background image data and an ambient lighting metric, determine a target tone mapping based at least in part on the perceived background brightness metric, and determine display augmented reality image data to be used by a display panel to display the augmented reality image content least in part by applying the target tone mapping to the input augmented reality image data.

Abstract: A certificate image extraction method, including: step S101, obtaining an original image containing a certificate image, wherein the original image is obtained by a camera device by means of photographing; step S102, performing white balance processing on the original image to obtain a balance image according to component values of pixel points in the original image in red, green and blue color components; step S103, determining a position of the certificate image in the balance image according to a pre-trained certificate feature model; wherein the certificate feature model is obtained by training based on historical certificate images, a certificate image model and a preset initial weight value; and step S104, extracting the certificate image from the balance image according to the position of the certificate image. By performing the certificate image extraction method, the accuracy of extracting the certificate image from the original image is improved.

Abstract: In this invention, we propose a convolutional neural network (CNN) based architecture designed for the ITM to HDR consumer displays, called ITM-CNN, and its training strategy for enhancing the performance based on image decomposition using the guided filter. We demonstrate the benefits of decomposing the image by experimenting with various architectures and also compare the performance for different training strategies. To the best of our knowledge, this invention first presents the ITM problem using CNNs for HDR consumer displays, where the network is trained to restore lost details and local contrast. Our ITM-CNN can readily up-convert LDR images for direct viewing on an HDR consumer medium, and is a very powerful means to solve the lack of HDR video contents with legacy LDR videos.

Abstract: A training method for video stabilization and an image processing device using the same are proposed. The method includes the following steps. An input video including low dynamic range (LDR) images is received. The LDR images are converted to high dynamic range (HDR) images by using a first neural network. A feature extraction process is performed to obtain features based on the LDR images and the HDR images. A second neural network for video stabilization is trained according to the LDR images and the HDR images based on a loss function by minimizing a loss value of the loss function to generate stabilized HDR images in a time-dependent manner, where the loss value of the loss function depends upon the features. An HDR classifier is constructed according to the LDR images and the HDR images. The stabilized HDR images are classified by using the HDR classifier to generate a reward value, where the loss value of the loss function further depends upon the reward value.

Abstract: Systems and methods for image processing are provided in the present disclosure. The systems may generate a preliminary image by filtering image data generated by an image acquisition device. The system may generate an intermediate image by performing, based on a first objective function, a first iterative operation on the preliminary image. The first objective function may include a first term associated with a first difference between the intermediate image and the preliminary image, a second term associated with continuity of the intermediate image and a third term associated with sparsity of the intermediate image. The systems may also generate a target image by performing, based on a second objective function, a second iterative operation on the intermediate image. The second objective function may be associated with a system matrix of the image acquisition device and a second difference between the intermediate image and the target image.

Abstract: Apparatus for binning an input value into one of a plurality of bins which collectively represent a histogram of input values, each of the plurality of bins representing a corresponding range of input values, the apparatus comprising: an input for receiving an input value; a noise source configured to generate an error value according to a predetermined noise distribution; and a binning controller configured to mix the received input value with the error value so as to generate a modified input value and to allocate the modified input value to the bin corresponding to that modified input value.

Abstract: A monitoring and photographing module includes one primary camera and N secondary cameras. The primary camera and the N secondary cameras are configured to collect images, and a frame rate at which any secondary camera collects an image is less than a frame rate at which the primary camera collects an image. Regions monitored by the N secondary cameras respectively cover N different regions in a region monitored by the primary camera, and a focal length of any secondary camera is greater than a focal length of the primary camera.

Abstract: An information processing apparatus includes a controller configured to determine, upon detection of an impact applied to an object, whether the impact has caused damage to the object, and when it is determined that damage has been caused, identify a cause of the damage, based on a result of observation of a surrounding environment of the object at a time that the impact was applied.

Abstract: Provided herein are methods and systems for improved core sample analysis. At least one image of a core sample may be analyzed to determine structural data associated with the core sample (e.g., attributes of the core sample). A machine learning model may analyze the at least one image and determine one or more attributes associated with the core sample. The machine learning model may generate a segmentation mask. An output image may be generated. A user may interact with the output image and provide one or more user edits. The one or more user edits may be provided to the machine learning model for optimization thereof.