18th week of 2020 patent applcation highlights part 61 |
Patent application number | Title | Published |
20200134739 | APPARATUS AND METHOD FOR SOLICITING DYNAMIC GROUP SUPPORT FOR AN INDIVIDUAL VIDEO STREAMING AN EVENT - A computer implemented method includes receiving from a client device, via a network, a description of a social media event. The description of the social media event specifies a video streaming event and support required to initiate the social media event. The description of the social media event is broadcasted via the network to client devices. Support pledges from the client devices are collected via the network. Final event details are established after the support required to initiate the social media event is received. The final event details are broadcasted via the network to the client devices. The social media event is received from the client device via the network. The social media event is broadcasted via the network to the client devices. A dynamic leader board characterizing individuals generating the largest support for the social media event is supplied. | 2020-04-30 |
20200134740 | NETWORK CONNECTION SYSTEM AND METHOD - A method for networking provides a network service for a network. The network service can include the server system maintaining a database that can include information about connections between nodes. The network service can include the server system receiving a potential connection message from a first node to be delivered to a third node. The potential connection message can include a suggestion that the third node connect to a second node. The network service can include the server system delivering the potential connection message to the third node, only if the server system verifies in the database that the first node is connected with the third node and the second node. The network service can include the server system receiving feedback from the third node regarding the second node. The network service can include the server system connecting the second node to the third node, only if the feedback from the third node regarding the second node is positive. | 2020-04-30 |
20200134741 | Controlled Agricultural Systems and Methods of Managing Agricultural Systems - The present disclosure relates to different techniques of controlling an agricultural system, as for example a controlled agricultural system, an agricultural light fixture and a method for agricultural management. | 2020-04-30 |
20200134742 | SYSTEM FOR AUTHORIZING ELECTRIC VEHICLE CHARGING AND PAYMENT THROUGH VEHICLE INFOTAINMENT DEVICE - Disclosed herein are representative embodiments of methods, apparatus, and systems relating to a system to use electric vehicle supply equipment (“EVSE”) and electric vehicles (EV) vehicle infotainment systems (VIS) to authorize or pay for the use of EVSE from the EV VIS. | 2020-04-30 |
20200134743 | METHOD FOR TRADING ELECTRICAL ENERGY BETWEEN SMALL PRODUCERS AND END USERS - A device for controlling the feeding and discharging of electrical energy in or from a small producer network having at least one energy producer and at least one energy consumer. The device includes a transaction unit for communicating with at least one electronic energy trade prospect in order to negotiate and/or to define a transaction of a predefined quantity of energy; a measuring system for measuring a quantity of fed or discharged energy; a control system, which is in communication with the measuring system, designed to feed or to discharge the predefined quantity of energy via an electrical cable and controlled via a logic unit. | 2020-04-30 |
20200134744 | System, method, and apparatus for settlement for participation in an electric power grid - Systems and methods for market-based financial settlement in an electric power grid are disclosed. At least one active grid element is constructed and configured in network communication with a settlement processor. The at least one active grid element participates in the electric power grid by consuming power, supplying power, and/or curtailing power to provide operating reserves and/or grid stability for the electric power grid. The at least one active grid element generates at least one kilowatt packet (KWP) unit based upon measured data for the participation in the electric power grid. The at least one active grid element transmits at least one IP-based settlement message to the settlement processor. The settlement processor provides a market-based financial settlement for the participation of the at least one active grid element based on the at least one KWP unit in real time or near real time. | 2020-04-30 |
20200134745 | METHOD AND SYSTEM FOR AUTOMATICALLY CREATING AND ASSIGNING ASSEMBLY LABOR ACTIVITIES (ALAs) TO A BILL OF MATERIALS (BOM) - A method and system for automatically creating and assigning assembly labor activities (ALAs) to a bill of materials (BOM) with a cloud SaaS service. ALA templates are automatically selected and populated for the BOM including labor activities, and other construction related activities, required to build a desired physical structure (e.g., building, etc.) and used to automatically create the ALAs associated with a particular BIM or set of BOM Items. A Critical Path Method (CPM)—Work Time Schedule (WTS) is automatically created. The CPM-WTS along with BOM information is used to automatically create a cost estimate report for building the desired physical structure created. An interactive messaging system is used with the SaaS service to send mobile messages for scheduled ALAs, requesting crew size and productivity information each day for each scheduled ALA and showing productivity trends for contractors, subcontractors, suppliers, inspectors or other parties associated with one or more of the ALA activities in the CPM-WTS. If the schedule progress varies from the scheduled amount, the interactive messaging system sends a message requesting the cause of the schedule impact. | 2020-04-30 |
20200134746 | METHOD AND SYSTEM FOR DETERMINATION OF PRICING OF AN ACCOMMODATION FACILITY - The present disclosure provides a system to determine an optimal price of an accommodation facility. The system fetches a first historical data and obtains a first seasonality data associated with the accommodation facility. Further, the system receives a clickstream data and collects a first set of data associated with the accommodation facility. Also, the system obtains a second set of data associated with one or more accommodation facilities similar to the accommodation facility. In addition, the system extracts a competitor data from the obtained second set of data associated with the one or more accommodation facilities similar to the accommodation facility. Also, the system generates a signal to determine an optimal price of the accommodation facility based on the fetched first historical data, the obtained first seasonality data, the received clickstream data, the collected first set of data and the extracted competitor data. | 2020-04-30 |
20200134747 | SYSTEMS AND METHODS FOR RECOMMENDING TRANSPORTATION SERVICES - The present disclosure relates to a system and method for recommending a service type to a user. The method comprises obtaining and storing in the device a plurality of previous service requests placed by the user, wherein each of the plurality of previous service requests comprises order information including the type of requested service and at least one of a service time or a service location. The method also comprises using the processor to generate a service type prediction model based on the order information of the plurality of previous service requests. The method further comprises receiving a service request including at least one of a currently service time or a currently service location from the user and using the service type prediction model to predict the user's preferred service type. | 2020-04-30 |
20200134748 | RESIDENTIAL REAL ESTATE LAYOUT DATA COLLECTION, SEARCH, RATING AND RANKING SYSTEM AND METHOD - A system and method for collecting, evaluating and ranking residential real estate property layout design data for prospective home buyers and tenants based on the floor plan and a dimension attribute of the unit. The system extracts empirical data relating to individual spaces for generation of scores for the empirical data and individual space of the property based on anthropometric studies and an overall score of the property is generated based on the weighted combination of the scores of the individual spaces. Machine learning is utilised to improve the evaluation algorithm for assigning of scores. A report is generated for an evaluated property with the scores, comments on merits and weakness of the layout of the property and the ranking of the property against similar evaluated properties. | 2020-04-30 |
20200134749 | REAL ESTATE SHOWING COMPARISON APPLICATION - A system and method for determining real estate showing data includes electronically receiving subject property; determining a set of comparable properties based on the subject property; determining showing data for the subject property; determining showing data for at least one of the set of comparable properties; and electronically communicating the showing data for the subject property and the showing data for at least one of the set of comparable properties. | 2020-04-30 |
20200134750 | FIELD CONFIGURATION OF AN INSTANCE OF A CLIENT APPLICATION BASED ON A TRANSACTIONAL ROLE OF A USER OF THAT CLIENT APPLICATION TO PREVENT UNINTENDED DISCLOSURE OF CONFIDENTIAL INFORMATION WHEN CLOSING A REAL ESTATE TRANSACTION - A system includes a host service configured to distribute a configuration file to one or more instances of a client application configured to communicably couple to the host service. The configuration file informs the behavior of each instance of each client application and the host service so that the system can facilitate secure and private information exchange between parties to a transaction. | 2020-04-30 |
20200134751 | SYSTEM AND METHOD OF OBJECTIVELY ASSESSING PROPERTIES FOR PROSPECTIVE PURCHASERS - A system is provided for assessing properties for prospective purchasers. The system is a web based system that implements a method comprising the steps of: evaluating the location desirability of each property based upon pre-determined criteria and a graphical rating system, such as a five star rating system and assigning specified graphical rating to the property; evaluating the quality and number of amenities of each property based upon predetermined criteria and a numerical scale and assigning a numerical rating to the property; and simultaneously displaying the graphical rating and the numerical rating for at least selected ones of the properties to prospective purchasers. | 2020-04-30 |
20200134752 | House Hub - Disclosed method and system for providing maintenance services, the method comprising: receiving user credentials from at least one user; authenticating the at least one user based on the user credentials; receiving at least one item information related to property from the at least one user; generate at least one notification based on the at least one item information related to the property; and providing at least one service to the user based on the at least one item information related to the property. | 2020-04-30 |
20200134753 | System and Method for Assisting Real Estate Holding Companies to Maintain Optimal Valuation of Their Properties - Method for assisting a real estate holding company to maintain an optimal valuation of a number of properties having a number of buildings includes the steps of selecting a property for inspection, launching an application, from an electronic computing device, for identifying one or more serviceable roofs among a number roofs of the buildings within the property, obtaining a series of time-lapse images of the roofs of the buildings within the property, analyzing the series of time-lapse images of the roofs using artificial intelligence-based instructions of the application to identify a variety of roof characteristics, identifying the buildings with one or more serviceable roofs requiring maintenance by analyzing a number of pixelated images of the roofs of the buildings and contacting an insurance service provider providing insurance coverage to the buildings with the serviceable roofs requiring maintenance to perform necessary maintenance activities. | 2020-04-30 |
20200134754 | SYSTEM AND METHOD FOR DETERMINING A VALUE OF PROPERTY REFURBISHMENTS TO A PROPERTY SALE PRICE - A system and method for determining a value of property refurbishments to a property sale price, including: receiving a first dataset of descriptive information associated with a first property; receiving a second dataset including information related to one or more objectives made to the first property throughout a first refurbishment process; receiving a sale price of the first property after the refurbishment process is completed; searching for a second property in which at least one of the one or more objectives was made; collecting a third dataset associated with the at least a second property, wherein the third dataset comprises descriptive information of the at least a second property; analyzing the first dataset and the second dataset with respect to the third dataset; and, determining, based on the analysis, a value contribution for each of the plurality of objectives to the sale price of the first property. | 2020-04-30 |
20200134755 | AUTHENTICITY VERIFICATION OF A DIGITAL MODEL - A system for documenting a state of a building, comprising a first measuring system to determine actual data of the building, and at least one server having a memory for storing a digital model of the building, the server providing the digital model to the first measuring system and providing a blockchain of blocks, each block comprising a timestamp, hash data of a previous block and change data related to changes of the model, wherein a current block comprises current change data related to a latest change and task data related to tasks to be performed at the building hat have to be met. The first measuring system is adapted to interpret the task data, perform a measuring task, generate measurement data obtained by performing the measuring task, and to generate a new block of the blockchain, wherein the server is adapted to verify an admissibility of the new block. | 2020-04-30 |
20200134756 | ADDRESS BASED PARAMETER ESTIMATION - Systems and methods are disclosed for receiving, from a client device, a first input that provides a current address associated with a user; receiving, from the client device, a second user input that identifies a target location; and searching a real-estate database to identify a real-estate property associated with the current address. The systems and methods further provide for estimating equity associated with the real-estate property, updating parameters of a loan model based on the target location and the estimated equity, and providing an output of the model for presentation to the user based on the updated parameters. | 2020-04-30 |
20200134757 | EXTRACTING, DERIVING, AND USING LEGAL MATTER SEMANTICS TO GENERATE E-DISCOVERY QUERIES IN AN E-DISCOVERY SYSTEM - Provided are techniques for extracting, deriving, and using legal matter semantics to generate e-discovery queries in an e-discovery system. A semantic knowledge graph is iteratively built by receiving meet and confer document instances, legal matter types, historical e-discovery queries for different legal matters, and legal semantic types extracted from the historical e-discovery queries. The legal semantic types are added to the semantic knowledge graph, and a list of terms that serve as a basis of an initial query are identified. An e-discovery query is generated for an e-discovery system. The e-discovery query is modified using the semantic knowledge graph and additional input by receiving a legal matter type and meet and confer information, obtaining the legal semantic types that are relevant to the legal matter type and the meet and confer information, and modifying the e-discovery query. The modified e-discovery query is provided. Then, the modified e-discovery query is executed. | 2020-04-30 |
20200134758 | SYSTEMS AND METHODS FOR SECURE COMMUNICATION - A kiosk system is described that may have multilevel displays and multiple network antennas. Upper level displays may be non-touch and a lower level display may include a touch display. The upper level displays may be affixed to a body of the kiosk using brackets. The kiosk may include first and second network interfaces. The first network interface may be provided to enable user terminals local to the kiosk to wirelessly access network resources via the kiosk system. The second network interface may enable the kiosk to access a remote system. The kiosk may be equipped with a camera, microphone, and/or a speaker. | 2020-04-30 |
20200134759 | MACHINE LEARNING FOR OPTIMAL STUDENT GUIDANCE - Techniques for training and evaluating machine-learning models for providing student guidance are described herein. In some embodiments, a network service generates a set of clusters that group a plurality of students by similarity. The network service trains a machine-learning model based on variances in outcomes and actions leading to the outcomes for students that belong to a same cluster in the set of clusters. The network service evaluates the machine-learning model for a student that has been mapped to the same cluster to identify at least one action that the student has not performed that is predictive of an optimal outcome for other students that belong to the same cluster. Responsive to evaluating the machine-learning model, the network service presents, through an interface, a recommendation that the student perform the at least one action. | 2020-04-30 |
20200134760 | Method for Weighted Voting in a Public Safety Distributed Ledger - A computer-implemented method and apparatus allow for weighted voting in a public safety distributed ledger. A first node operating in a distributed ledger network receives an incident data record of one or more other nodes to maintain a distributed ledger. The first node reviews the incident data record to determine a vote. The vote indicates whether the incident data record should be entered into the distributed ledger. The vote is sent to a second node operating in the distributed ledger network. Votes are received from the one or more other nodes, and weights are determined for each node operating in the distributed ledger network node. A weighted vote result is calculated utilizing the votes and the weights. The distributed ledger is updated with the incident data record when the weighted vote result is greater than or equal to a predetermined threshold. | 2020-04-30 |
20200134761 | ENSURING SAFE SERVICING IN A LOW-VOLTAGE NETWORK OF THE ELECTRIC POWER DISTRIBUTION SYSTEM - To ensure the safety of people needing to service a low-voltage network of an electric power distribution system, the dwellings connected to this network may include autonomous units for producing electricity (PV | 2020-04-30 |
20200134762 | ORDER GROUP ALLOCATION METHOD AND DEVICE - An order group allocation method and apparatus are disclosed. The order group allocation method includes: determining, based on a matching score between each of a plurality of to-be-processed order groups and each of a plurality of delivery persons, an order group with a lowest matching score corresponding to each delivery person; dividing the to-be-processed order groups and the delivery persons into a plurality of non-intersecting sub-combinations; and allocating the to-be-processed order group based on an order group allocation process for each sub-combination, so that each to-be-processed order group in each sub-combination is allocated to a delivery person in a corresponding sub-combination. The method of the present disclosure improves order group allocation efficiency. | 2020-04-30 |
20200134763 | SYSTEM AND METHOD FOR AUTHENTICATING RIDE-SHARE REQUESTS - This disclosure describes a method and device for processing ride-sharing requests. The method and device process ride requests received from a first mobile device and generate a first hash corresponding to the ride request. The disclosure also describes a method and device for processing ride sharing responses. The method and device receives a ride request from a rider account, transmits a ride response to the rider account, compares a first location to a current location, determines that a difference between the first location and the current location is less than a threshold value, conducts a visual analysis of one or more persons proximate to the current location, requests that the rider audibly identify themselves, and determines, based at least in part on the audible identification and visual identification, that the rider is associated with the rider account. | 2020-04-30 |
20200134764 | BOOKING MANAGEMENT SYSTEM - Methods and systems for booking management are provided. Aspects include receiving booking data for a mode of transportation, wherein the booking data includes passenger data and departure data for the mode of transportation, analyzing the passenger data to identify one or more passengers for the mode of transportation, obtaining location data associated with each of the one or more passengers, analyzing the location data to determine at least one potentially late passenger from the one or more passengers, and transmitting a notification to the at least one potentially late passenger based on the location data for the at least one potentially late passenger. | 2020-04-30 |
20200134765 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD AND STORAGE MEDIUM - An information processing device is configured to communicate with a portable terminal of a user or mounted on the portable terminal. The information processing device includes a processor configured to cause a display device included in the portable terminal to display ticket information in response to a handling by the user, the ticket information corresponding to a ticket for transportation, wherein: an operation plan of the transportation is previously specified, the operation plan of the transportation including an operation route and an operation time of the transportation; the ticket expires while the transportation is operating; and the processor is configured to permit the display device to display the ticket information until a predetermined time elapses after the ticket expires, and prohibit the display device from displaying the ticket information after the predetermined time has elapsed since the ticket expires. | 2020-04-30 |
20200134766 | DISPLAY CONTROL METHOD, DISPLAY CONTROL DEVICE, NON-TRANSITORY RECORDING MEDIUM STORING DISPLAY CONTROL PROGRAM, AND DISPLAY CONTROL SYSTEM - A display control method includes causing a display control device to perform: a step (a) forecasting a demand for a vehicle dispatch at an arbitrary point or in an arbitrary area at a time specified by a host vehicle; and a step (b) superimposing, at a position on a map screen, information about the forecasted demand, the position corresponding to the arbitrary point or the arbitrary area. | 2020-04-30 |
20200134767 | SYSTEMS AND METHODS FOR TRANSPORT CAPACITY SCHEDULING - A method for transport capacity scheduling in an online to offline service may include determining that a service requester intends to request an online to offline service. The method may also include determining a possibility to locate a target service provider in a first region for the service requester. The method may also include transmitting a scheduling message to a terminal of the service requester in response to a determination that the possibility to locate the target service provider in the first region is less than a possibility threshold. The method may also include receiving, from the terminal of the service requester, a requester response that the service requester allows locating the target service provider in the second region. The method may also include determining the target service provider in the second region based on the requester response. | 2020-04-30 |
20200134768 | SELECTIVE ARRIVAL NOTIFICATION SYSTEM - A method for operating an arrival notification system at a location includes receiving a request to generate a notification from an arrival notification system. The method also includes receiving, in response to the request, a token. The method further includes enabling an output from a component of the arrival notification system when the token is validated. | 2020-04-30 |
20200134769 | SHORTCODE FOR AUTOMATING APPLICATION PROCESSES - A method includes, responsive to receiving a shortcode from a client computing device, identifying, by a processing device based on the shortcode, computer-executable instructions and one or more geographical locations. The method further includes causing, based on the computer-executable instructions and the one or more geographical locations, the client computing device to generate an order request form filled with the one or more geographical locations received from the processing device based on the shortcode without user intervention and without user input of the one or more geographical locations. The method includes, responsive to receiving the order request form filled with the one or more geographical locations from the client computing device, transmitting, to a vehicle computing device, an order request to dispatch a transportation vehicle associated with the vehicle computing device to provide a transportation service to a user of the client computing device based on the order request form. | 2020-04-30 |
20200134770 | SYSTEMS AND METHODS FOR MANAGING SUBJECTIVE PROBABILITY BETTING INCLUDING USER-PROVIDED HANDICAPS AND PAYOUT RATES - Systems and methods are provided for managing subjective probability bets, the method comprising: receiving a set of bets; calculating one or more possible outcomes of a competition; for each possible outcome, determining whether each of the bets would be a winning bet or a losing bet; performing an iterative bet analysis procedure comprising: calculating a payable amount, calculating a payout amount, and determining whether the sum of the payable amount and a system threshold (indicating a maximum amount allowed to be paid out beyond the payable amount for the possible outcome) is greater than or equal to the payout amount; if it is determined that said sum is greater than or equal to the payout amount, assigning the outcome a pass value, and if it is determined that said sum is not greater than or equal to the payout amount, assigning the outcome a fail value. | 2020-04-30 |
20200134771 | IMAGE PROCESSING METHOD, CHIP, PROCESSOR, SYSTEM, AND MOBILE DEVICE - An image processing method comprising acquiring a plurality of pixel rows of an image according to a rectangular pixel region, and storing the plurality of pixel rows as blocks in a plurality of line buffers. A pixel row is stored as a block in a storage space of the plurality of line buffers, and a number of bits of the block in a line buffer is smaller than a number of pixel columns of the image. | 2020-04-30 |
20200134772 | COMPUTER VISION SYSTEM AND METHOD - An image processing method for segmenting an image, the method comprising:
| 2020-04-30 |
20200134773 | MACHINE VISION SYSTEMS, ILLUMINATION SOURCES FOR USE IN MACHINE VISION SYSTEMS, AND COMPONENTS FOR USE IN THE ILLUMINATION SOURCES - The present disclosure generally relates to machine vision systems, illumination sources for use in machine vision systems, and components for use in the illumination sources. More specifically, the present disclosure relates to machine vision systems incorporating multi-function illumination sources, multi-function illumination sources, and components for use in multi-function illumination sources. | 2020-04-30 |
20200134774 | METHOD AND APPARATUS FOR REMOVING HIDDEN DATA BASED ON AUTOREGRESSIVE GENERATIVE MODEL - Disclosed is a hidden data removal method based on an autoregressive generative model which is performed by a computer device. The hidden data removal method includes receiving a source image, randomly selecting a target pixel from the source image, and inputting the source image and an identifier of the target pixel to an autoregressive generative model and restoring the target pixel from the source image. The source image is an image in which steganography-based data is hidden, and the autoregressive generative model restores the target pixel on the basis of a pixel value distribution for pixels adjacent to the target pixel in the source image. | 2020-04-30 |
20200134775 | SIGNAL ENCODING BASED ON SPECTRAL REQUIREMENTS - This disclosure relates to advanced image signal processing technology including encoded signals and digital watermarking. One implementation is directed to a printed object comprising: a white substrate or background comprising a first area; an ink mixture printed at a first plurality of spatial locations within the first area, the ink mixture printed such that the first area comprises a second plurality of spatial locations without the ink mixture, the ink mixture comprising extender white and Green 7 ink, the ink mixture comprising a volume or weight ratio of 97.5% to 99.75% white extender and 2.5%-0.25% Green 7 ink; in which the first plurality of spatial locations is arranged in a pattern conveying an encoded signal, and in which the white substrate or background and the ink mixture comprise a spectral reflectivity difference at or around 660 nm in a difference range of 8%-30%. Of course, other implementations, methods, packages, systems and apparatus are described in this patent document. | 2020-04-30 |
20200134776 | MECHANISM TO ACCELERATE GRAPHICS WORKLOADS IN A MULTI-CORE COMPUTING ARCHITECTURE - A processing apparatus is described. The apparatus includes a plurality of processing cores, including a first processing core and a second processing core a first field programmable gate array (FPGA) coupled to the first processing core to accelerate execution of graphics workloads processed at the first processing core and a second FPGA coupled to the second processing core to accelerate execution of workloads processed at the second processing core. | 2020-04-30 |
20200134777 | IMAGE PROCESSING DEVICE - An image processing device according to an embodiment exemplarily includes, as an example: a processor that acquires a taken image obtained by imaging surroundings of a vehicle by an imaging unit mounted on the vehicle; projects the taken image to a stereoscopic projection plane including the vehicle and a first projection region rising above the vehicle and produces a composite image of the stereoscopic projection plane when viewed from a virtual viewpoint; causes a display to display the composite image; determines a target parking region in which the vehicle is parked in the stereoscopic projection plane; and shifts at least a part of a movement path of the vehicle from a position of the vehicle to the target parking region and the target parking region of the vehicle to a second projection region horizontal to the vehicle. | 2020-04-30 |
20200134778 | IMAGE STYLE TRANSFORM METHODS AND APPARATUSES, DEVICES AND STORAGE MEDIA - An image style transform method includes: acquiring an initial image to be subjected to style transform; inputting a gradient of the initial image to an image style transform model, and obtaining a feature map of the initial image in a gradient domain from the image style transform model, where the image style transform model is obtained by being trained in the gradient domain based on a pixel-wise loss and a perceptual loss; and performing image reconstruction according to the feature map of the initial image in the gradient domain to obtain a style image. | 2020-04-30 |
20200134779 | METHOD AND SYSTEM FOR PROVIDING AT LEAST A PORTION OF CONTENT HAVING SIX DEGREES OF FREEDOM MOTION - The present invention provides a method for providing with at least a portion of content having six degrees-of-freedom in a virtual environment, comprising: receiving, by at least one processor, the portion of content for the virtual environment; associating, by the at least one processor, at least one of a first geometric shape and a second geometric shape with the portion of content; projecting, by the at least one processor, the portion of content onto a first point of a surface of the first geometric shape; determining, by the at least one processor, based on the projecting of the portion of content onto the first point, a first outcome relating to the portion of content at the first position; projecting, by the at least one processor, the portion of content onto a second point of the surface of the first geometric shape or of a surface of the second geometric shape, the second point being different than the first point; determining, by the at least one processor, based on the projecting of the portion of content onto the second point, a second outcome relating to the portion of content at a second position in the virtual environment, the second position being different than the first position; and reformatting, by the at least one processor and based on the first outcome and the second outcome, the portion of content to have six degrees-of-freedom providing rotational motion and positional motion in the virtual environment. | 2020-04-30 |
20200134780 | VIRTUAL REALITY CINEMA-IMMERSIVE MOVIE WATCHING FOR HEADMOUNTED DISPLAYS - Peripheral-vision expanded images are streamed to a video streaming client. The peripheral-vision expanded images are generated from source images in reference to view directions of the viewer at respective time points. View direction data is collected and received in real time while the viewer is viewing display images derived from the peripheral-vision expanded images. A second peripheral-vision expanded image is generated from a second source image in reference to a second view direction of the viewer at a second time point. The second peripheral-vision expanded image has a focal-vision image portion covering the second view direction of the viewer and a peripheral-vision image portion outside the focal-vision image portion. The second peripheral-vision expanded image is transmitted to the video streaming client. | 2020-04-30 |
20200134781 | COURSE PROFILING AND SHARING - Systems and methods for unmanned aerial vehicle (UAV) course profiling are provided. A plurality of images may be captured by a UAV flying along a course at a first location. A profile may be constructed for the course based on the images captured by the UAV. The constructed course profile is transmitted over a communication network to a virtual reality system at a second location. The virtual reality system may generate a virtual environment corresponding to the course based on the constructed course profile, and a second UAV at the second location may fly along the virtual course. | 2020-04-30 |
20200134782 | IMAGE STITCHING PROCESSING METHOD AND SYSTEM THEREOF - An image stitching processing method includes: obtaining a first image taken by a first camera module, wherein the first camera module has a first distance from a reference plane; obtaining a second image taken by a second camera module, wherein the second camera module has a second distance from the reference plane; scaling the second image according to a predetermined ratio and stitching the scaled second image with the first image to obtain a third image, wherein the third image has a stitching line between the first image and the scaled second image; determining whether an object image corresponding to an object in the third image is close to or located on the stitching line; identifying the object image to generate an identification confidence value; covering a standard object image on the object image to generate a modified third image; and outputting and displaying the modified third image. | 2020-04-30 |
20200134783 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, INFORMATION PROCESSING PROGRAM, IMAGE PROCESSING DEVICE, AND IMAGE PROCESSING SYSTEM - Provided is an information processing device configured to: acquire an image captured according to an imaging instruction by an imaging device mounted to a mobile object; acquire sensor information including position information about the mobile object from a sensor device according to a signal transmitted from the imaging device in response to the imaging instruction; and associate the acquired sensor information with the acquired image. | 2020-04-30 |
20200134784 | Method, Electronic Device, and Storage Medium for Obtaining Depth Image - The present disclosure provides a method, an electronic device, and a storage medium for obtaining a depth image. The method includes: mapping a depth image having a first resolution into a color image having a second resolution to obtain a processed image, the first resolution being smaller than the second resolution; establishing an objective function with respect to the processed image and a depth image having the second resolution, pixels in the processed image having one-to-one correspondence with pixels in the depth image having the second resolution, the objective function aiming to minimize an error with respect to the processed image and the depth image having the second resolution; and solving the objective function to obtain the depth image having the second resolution. | 2020-04-30 |
20200134785 | REVERSE IMAGE PROCESSING SYSTEM - The invention provides a reverse image display system. An image blocking module segments a reverse image into visual saliency image blocks and non-visual saliency image blocks according to visual saliency. A denoising module denoises the visual saliency image blocks by a BM3D algorithm, and denoises the non-visual saliency image blocks by a mean filtering algorithm. A composition module composites the denoised visual saliency image blocks and non-visual saliency image blocks into a final required reverse image which is transmitted to an automobile display screen for display. The visual saliency image blocks are denoised by the BM3D algorithm, so that the obtained image is more easily watched by human eyes, and the non-visual saliency image blocks are denoised by the mean filtering algorithm, denoising speed can be increased while certain image quality is maintained, and the denoising speed can be conveniently increased by a computer as a whole. | 2020-04-30 |
20200134786 | LUMINANCE-BIASED SHARPENING FOR THERMAL MEDIA PRINTING - In some examples, luminance-biased sharpening for thermal media printing may include converting an input image to a grayscale luminance representation. For each pixel of a plurality of specified pixels of the converted input image, a sharpening lightness value may be determined. Further, for each pixel of the plurality of specified pixels of the converted input image, a ratio of the sharpening lightness value to a corresponding original lightness value may be determined. Based on the determined ratio, a sharpened output image corresponding to the input image may be generated. | 2020-04-30 |
20200134787 | IMAGE PROCESSING APPARATUS AND METHOD - The invention relates to an image processing apparatus for generating an HDR image associated with a first view on the basis of a plurality of LDR images, including a first LDR image and a second LDR image. The first LDR image is associated with the first view and a first exposure, i.e. a first dynamic range, and the second LDR image is associated with a second view and a second exposure, i.e. a second dynamic range. The image processing apparatus comprises a processor configured to provide a neural network having a plurality of neural subnetworks including a first neural subnetwork. The first neural subnetwork is configured to generate the HDR image on the basis of: (i) the first LDR image, (ii) the second LDR image, and (iii) a modified first LDR image. The modified first LDR image is associated with the first view and the second exposure. | 2020-04-30 |
20200134788 | Image Processing Systems and Methods - An image capture system comprises a camera configured to capture an image of a whiteboard, or similar, viewed from an acute angle. A linear polarizer has a surface substantially perpendicular to a plane of the board and an axis of polarization substantially perpendicular to the plane of the board or within 30° of the perpendicular to the plane of the board. The camera is configured to capture the image of the board through the polarizer. A normal to the polarizer is directed in a different direction to a direction defined by an optic axis of the camera. | 2020-04-30 |
20200134789 | SYSTEM AND METHOD FOR CORRECTING IMAGE THROUGH ESTIMATION OF DISTORTION PARAMETER - Provided are a system and method for correcting an image through estimation of a distortion parameter. The method includes receiving a distorted image including one or more measurement targets, extracting a plurality of feature points from each of the measurement targets, classifying the one or more measurement targets as a distorted target and an undistorted target by comparing distances between the plurality of extracted feature points and a center point of the received distorted image with each other, estimating a distortion parameter on the basis of standard deviations of a plurality of feature points of the classified distorted target and undistorted target, and correcting the received distorted image on the basis of the estimated distortion parameter. | 2020-04-30 |
20200134790 | APPARATUS, METHOD, AND STORAGE MEDIUM - An apparatus is configured to convert a resolution of each of a plurality of images acquired by imaging an object under a plurality of geometric conditions based on an imaging position and a position of a light source that irradiates the object with light. The apparatus includes a determination unit configured to determine a resolution at which a number of peaks is one regarding a peak of a pixel value that emerges in a corresponding relationship between the pixel value and a geometric condition at each of pixel positions in the plurality of images, and a conversion unit configured to convert the resolution of each of the plurality of images into the determined resolution. | 2020-04-30 |
20200134791 | SPATIO-TEMPORAL DIFFERENTIAL SYNTHESIS OF DETAIL IMAGES FOR HIGH DYNAMIC RANGE IMAGING - A system comprising an apparatus for obtaining pixel intensity which is capable of assigning depth information to the pixel and is configurable to capture pixel intensity corresponding to multiple images; an image acquisition module operating on pixel intensity to access signal intensity data; a light segmentation module that analyzes the signal intensity data to detect intensity changes in each of the pixels to estimate pixel intensity present in regions associated with a subject of interest; a selective amplification module, configurable to apply tone correction and/or level shifting, that operates on each region to increase the intensity of the signal associated with the subject of interest relative to the intensity of other signals, producing a selectively-enhanced signal; and a HDR image composition module, taking the selectively-enhanced signal as an input and producing an image or image sequence based on the selectively-enhanced signal. | 2020-04-30 |
20200134792 | REAL TIME TONE MAPPING OF HIGH DYNAMIC RANGE IMAGE DATA AT TIME OF PLAYBACK ON A LOWER DYNAMIC RANGE DISPLAY - A converter can process image data from input HDR images in real time to compute new metadata about the brightness, contrast, color gamut and/or color volume for the image data to be displayed from each frame. Existing metadata can be ignored. The converter can combine the metadata for a current HDR frame with metadata for a plurality of immediately previous sequential frames to provide parameters for tone mapping. The converter uses these parameters, and characteristics about a lower dynamic range display which will receive output image data, to define a transfer function for converting the input HDR image data into output image data for display. The converter analyzes and tone maps HDR frames at a rate sufficient to allow output video to be generated at a desired frame rate while receiving the image data from frames of the input HDR video at an input frame rate. | 2020-04-30 |
20200134793 | VIDEO IMAGE PROCESSING METHOD AND APPARATUS THEREOF, DISPLAY DEVICE, COMPUTER READABLE STORAGE MEDIUM AND COMPUTER PROGRAM PRODUCT - Embodiments of the disclosure provide a video image processing method and apparatus thereof, and a display device, relate to the field of image processing technology, and in particular, and can solve the problem in the existing video image processing methods that real-time processing of a video image cannot be achieved due to large computational complexity. The video image includes multiple frames of image, and the method includes: obtaining a brightness characterization parameter representing image brightness for a current frame of image; obtaining a ratio of a brightness value of each input pixel in the current frame of image to the brightness characterization parameter; and obtaining a product of the ratio and a numerical value (M+1), wherein M is a maximum possible pixel brightness value of the current frame of image, and taking the product as a brightness value of an output pixel of the current frame of image. The invention can achieve contrast enhancement of a video image. | 2020-04-30 |
20200134794 | IMAGE PROCESSING - A method, processor and system of retaining dynamic range. The method comprises obtaining a vignetting correction mesh for image data. The method also comprises generating an intensity compression curve, the intensity compression curve comprising one or more segments, based on the vignetting correction mesh; and adjusting pixel values of a portion of the image data according to the intensity compression curve and vignetting correction mesh. | 2020-04-30 |
20200134795 | IMAGE PROCESSING METHOD, IMAGE PROCESSING SYSTEM, AND STORAGE MEDIUM - An image processing method, an image processing system and a storage medium are provided. The image processing method includes: acquiring an initial image; extracting a contour of a predetermined target included in the initial image during a transmission process of pixel data of the initial image; and obtaining information of the predetermined target according to the contour of the predetermined target included in the initial image. | 2020-04-30 |
20200134796 | DYNAMIC IMAGE RESOLUTION ADJUSTMENT FOR RENDERING CHANGES TO GRAPHICAL CONTENT - In some embodiments, an image manipulation application receives, via a user interface, an input to manipulate an image displayed at a target resolution. The image manipulation application determines a normalized number of tracker events between two consecutive renditions of the image caused by manipulating the image based on the input. Based on the normalized number of tracker events, the image manipulation application selects a version of the image from a set of versions of the image that have different resolutions of the image including the target resolution. The selected version of the image has a lower resolution than the target resolution. The image manipulation application manipulates the selected version of the image based on the input and generates an updated image for display in the user interface in the next rendition of the image. | 2020-04-30 |
20200134797 | IMAGE STYLE CONVERSION METHOD, APPARATUS AND DEVICE - The present disclosure relates to a method, an apparatus and a device for converting a style of an image, wherein the method comprises: acquiring a luminance component (Y) and chrominance components (U, V) in a YUV space of an image to be processed; performing a group convolution processing on the luminance component (Y) and the chrominance components (U, V) in the YUV space of the image to be processed to obtain content features and style features of the image to be processed; and performing a fusion processing on the content features, the style features and target style features of the image to be processed to convert the image to be processed into an image of a target style. | 2020-04-30 |
20200134798 | IMAGE BLENDING METHOD AND PROJECTION SYSTEM - The disclosure provides an image blending method. The method includes projecting a first image and a second image onto a projection surface by a first projector and a second projector, respectively, and the first image and the second image overlap each other; and projecting the first control pattern onto the first image, adjusting the first control pattern such that a first control pattern frame matches a boundary of an overlapping area, and thereby identifying a position of a first non-overlapping area in the first image. Additionally, a similar operation is performed by the second projector to identify a second non-overlapping area in the second image. All pixels in the first non-overlapping area and the second non-overlapping area are adjusted such that the black-level brightness of the first non-overlapping area and the second non-overlapping area correspond to the black-level brightness of the overlapping area to obtain better brightness uniformity. | 2020-04-30 |
20200134799 | IMAGE PROCESSING METHOD AND DEVICE - An image processing method includes reading first image data from a memory, storing the first image data in a line buffer, processing the first image data to generate a first partial image, writing the first partial image into the memory, reading second image data from the memory, storing the second image data in the line buffer, processing the second image data to generate a second partial image, reading the first partial image from the memory, and splicing the first and the second partial images to obtain an output image. The first image data and the second image data correspond to a same original image having L rows and K columns of pixels. The first image data includes L rows and M columns of pixel data, and the second image data includes L rows and N columns of pixel data. K is larger than or equal to M plus N. | 2020-04-30 |
20200134800 | PRECISION DEFECT DETECTION BASED ON IMAGE DIFFERENCE WITH RESPECT TO TEMPLATES - A computer-implemented method is provided for image-based defect detection. The method includes performing, by a processor device, template matching and subtraction on a set of training images and at least one template image to obtain a set of difference images. The difference images have defects, if any, highlighted therein. The method further includes generating, by the hardware processor applying a binary classification model to each of the training images in the set, activation heatmaps. The method also includes identifying, by the hardware processor, rough defect areas of interest in the activation heatmaps. The method additionally includes super-imposing, by the hardware processor, the activation heatmaps onto the difference images to obtain a set of super-imposed images, and highlight, as true defect areas, any areas in the super-imposed images having the defects from the difference images that overlap with the rough defect areas of interest from the activation heatmaps. | 2020-04-30 |
20200134801 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - A memory stores shape information representing a shape of an object. A processor detects a plurality of feature lines from an image of an object that has been captured by an image capturing device in a manufacturing process of manufacturing the object, and produces a plurality of combinations by correlating each of a plurality of line segments in the shape information and each of the plurality of feature lines with each other. Next, the processor performs classification of each of the combinations into an identified combination that has a certain correlation result or an unidentified combination that has an uncertain correlation result. The processor also changes a result of the classification for the identified combination and the unidentified combination according to a reliability of each of the plurality of combinations and determines a degree of progress of the manufacturing process by using the identified combination included in the changed result. | 2020-04-30 |
20200134802 | DEVICE FOR INSPECTING DISPLAY DEVICE AND INSPECTING METHOD THEREOF - A device for inspecting a display device includes a camera to photograph a substrate and generate image information, a pixel value setter to set pixel values corresponding to respective luminances of a plurality of pixels from the image information, and to detect a crack region based on the pixel values, a stress calculator to calculate a critical stress of a crack included in the crack region, and a determiner to check whether the critical stress is equal to or greater than a first threshold value and to determine whether the substrate has defects. The stress calculator calculates a critical stress of the substrate by using fracture toughness, a shape factor, and a crack depth. The shape factor is set to increase as a compressive stress of the substrate increases. | 2020-04-30 |
20200134803 | SYSTEM AND METHOD FOR QUANTITATIVE ANALYSIS OF BOREHOLE IMAGES - A method is described for ways to generate a Fraction of Sand (F | 2020-04-30 |
20200134804 | FULLY CONVOLUTIONAL TRANSFORMER BASED GENERATIVE ADVERSARIAL NETWORKS - Systems and methods for detecting anomaly in video data are provided. The system includes a generator that receives past video frames and extracts spatio-temporal features of the past video frames and generates frames. The generator includes fully convolutional transformer based generative adversarial networks (FCT-GANs). The system includes an image discriminator that discriminates generated frames and real frames. The system also includes a video discriminator that discriminates generated video and real video. The generator trains a fully convolutional transformer network (FCTN) model and determines an anomaly score of at least one test video based on a prediction residual map from the FCTN model. | 2020-04-30 |
20200134805 | CHARACTERIZATION METHOD FOR FINE-GRAINED SEDIMENTARY ROCK LAMINAR TEXTURE - The present application relates to a characterization method for fine-grained sedimentary rock laminar texture, including S1: image preprocessing; S2: loading the image, and normalizing the image to a specified size; S3: performing mean filtering, dilation operation and binarization processing on the image; S4: determining whether laminars are developed; S5: determining the number of bright laminars and dark laminars; S6: determining the continuity of bright laminars and dark laminars; S7: according to the statistical result and the calculation result, recording the characterized parameters into Excel. The present application can accurately characterize the texture features of fine-grained sedimentary rock laminar. Compared with the prior art, the present application have higher efficiency and satisfies the requirement of symmetrically depicting the growth features of fine-grained sedimentary rock laminar, and a technical support is provided for the exploration and development of shale oil and gas. | 2020-04-30 |
20200134806 | DETECTING IMPURITIES - A method performed by one or more devices is disclosed. The method includes detecting a first image information item indicative of at least one soiling on a textile, determining a soiling information item indicative of at least one property of the soiling on the textile where the at least one property is determined based at least in part on the detected first image information item and the at least one property of the soiling is determined based at least in part on a property dependent on the outline of the soiling, and outputting or causing the outputting of the determined soiling information item. Furthermore, a device and a system for performing the subject method is disclosed. | 2020-04-30 |
20200134807 | IDIOSYNCRASY SENSING SYSTEM AND IDIOSYNCRASY SENSING METHOD - In a singular part detection system ( | 2020-04-30 |
20200134808 | SINGULAR PART DETECTION SYSTEM AND SINGULAR PART DETECTION METHOD - In a singular part detection system, a singular part having an arbitrary feature is detected from a captured image of a subject captured by an imaging unit by a singular part detecting unit, a singular part image with an arbitrary size is cut out from the captured image by a singular part image cutting unit such that the singular part overlaps the center of the singular part image, and a type of the singular part is identified by an identification unit using machine learning with the singular part image as an input. | 2020-04-30 |
20200134809 | WAFER MANUFACTURING SYSTEM, DEVICE AND METHOD - A device includes image generation circuitry and a convolutional neural network. The image generation circuitry, in operation, generates a binned representation of a wafer defect map (WDM). The convolutional-neural-network, in operation, generates and outputs an indication of a root cause of a defect associated with the WDM based on the binned representation of the WDM and a data-driven model associating WDMs with classes of a defined set of classes of wafer defects. | 2020-04-30 |
20200134810 | METHOD AND SYSTEM FOR SCANNING WAFER - The present disclosure provides a method and a system for scanning wafer. The system captures a defect image of a wafer, and generates a reference image corresponding to the first defect image based on a reference image generation model. The system generates a defect marked image based on the defect image and the reference image. | 2020-04-30 |
20200134811 | CAPTURING COLOR INFORMATION FROM A PHYSICAL ENVIRONMENT - A computing device is used to capture image data of a physical environment. The image data is analyzed to determine color information for colors represented in the physical environment and to determine scene information that describes a room type associated with the physical environment. A palette of colors is assembled using the colors from the color information and provided for display. Upon selection of a color from the palette of colors, a product associated with the selected color and with the room type is provided for display. | 2020-04-30 |
20200134812 | OBJECT IMAGE RECOGNITION AND INSTANT ACTIVE RESPONSE WITH ENHANCED APPLICATION AND UTILITY - A device for detecting a group of offending objects and determining that the number of offending objects is above a predetermined threshold of offending objects. The device uses an image capturing system to scan areas to detect flying objects such as flying insects to detect a presence of a swarm of such flying objects. An action head on the device is configured to automatically respond once a swarm of objects is identified. The action head may disperse the swarm by expelling a substance such as a mist, smoke, repellant or insecticide. | 2020-04-30 |
20200134813 | VIDEO IMAGE PROCESSING AND MOTION DETECTION - A system for detecting motion in one or more images of a video feed captured by an image capture device. The system collects the multiple images of the video feed and segments each image into multiple portions or cells. Multiple cell groups are determined based on the images, with each cell group including information relating to contents of set of a common portion of the multiple images. A difference metric is calculated for each of the cell groups and at least one level of change of values of the difference metric is determined. The at least one level of change is data representing the video feed that is compared with a still-scene data model associated with the image capture device to determine a respective probability that each of the cell groups includes motion. Motion is identified for those cell groups that have a probability greater than or equal to a threshold value. The system generates a transformed video feed including the video feed and a visual indication of the motion. | 2020-04-30 |
20200134814 | Method of Dot Detection Within Images of Tissue Samples - We present a method to detect dots in microscope images of tissue samples for the purpose of diagnosis or therapy selection. Dots in tissue arise trough CISH or FISH staining, but also through staining of small cellular compartments, or in other ways. The method is applicable to both brightfield and fluorescence modalities, as well as mass spectrometry imaging methodologies. The method is based on the use of first and second derivatives of the image along the image axes, computed using regularized derivative operators, i.e. Gaussian derivatives. The outputs of these operators are examined at appropriate distances from each location in the image. The found values must have specific signs. If the signs are all correct, these values are multiplied together to obtain a confidence measure for a dot being present at that location. If the signs do not match, no dot is present, and a zero is output. | 2020-04-30 |
20200134815 | System and Method for an Automated Parsing Pipeline for Anatomical Localization and Condition Classification - An automated parsing pipeline system and method for anatomical localization and condition classification is disclosed. The system comprises an input even source, a memory unit and processor including a volumetric image processor, a voxel parsing engine, localization layer and a detection module. The volumetric image processor is configured to receive volumetric image from the input source and parse the received volumetric image. The voxel parsing engine is configured to assign each voxel a distant anatomical structure. The localization layer is configured to crop a defined anatomical structure with surroundings. The detection module is configured to classify conditions for each defined anatomical structure within the cropped image. The disclosed system and method provide accurate localization of a tooth and detects several common conditions in each tooth. | 2020-04-30 |
20200134816 | REMOVING GHOST MARKERS FROM A MEASURED SET OF MEDICAL MARKERS - A method for removing ghost markers from a measured set of medical markers, wherein the measured set of markers represents the positions of real markers and the positions of ghost markers, comprising the steps of: —calculating all possible minimal marker sets, wherein a minimal marker set is a subset of the measured set and a minimal marker set consists of the smallest possible number of markers which would cause the measured set to be measured; —calculating the smallest extent of each minimal marker set, wherein the smallest extent is the smallest extent among the extents in three orthogonal directions; and —selecting the minimal marker set having the smallest out of the smallest extents as a marker set without ghost markers. | 2020-04-30 |
20200134817 | SEGMENTATION OF HISTOLOGICAL TISSUE IMAGES INTO GLANDULAR STRUCTURES FOR PROSTATE CANCER TISSUE CLASSIFICATION - The method according to the invention utilizes a color decomposition of histological tissue image data to derive adensity map.The density map corresponds to the portion of the image data that contains the stain/tissue combination corresponding to the stroma, and at least one gland is extracted from said density map. The glands are obtained by a combination of a mask and a seed for each gland derived by adaptive morphological operations, and the seed is grown to the boundaries of the mask.The method may also derive an epithelial density map used to remove small objects not corresponding to epithelial tissue. The epithelial density map may further be utilized to improve the identification of glandular regions in the stromal density map.The segmented gland is extracted from the tissue data utilizing thegrown seed as a mask. The gland is then classified according to its associated features. | 2020-04-30 |
20200134818 | MEDICAL IMAGE PROCESSING APPARATUS, MEDICAL IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM - In one embodiment, a medical image processing apparatus includes: processing circuitry configured to acquire three-dimensional image data including a liver of a donor, extract a region of the liver and vessels in the liver from the three-dimensional image data, and determine, in the extracted region of the liver, a cross section of the liver in such a manner that volume of the liver to be resected from the donor satisfies a predetermined matching condition of transplantation and number of vessels on the cross section becomes smaller. | 2020-04-30 |
20200134819 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM - Provided are an information processing apparatus, an information processing method, and a program capable of accurately extracting a target region from a medical image. An information processing apparatus includes an extraction unit that extracts information indicating a physique of a subject from an image acquired by imaging the subject, a specification unit that specifies a group into which the subject is classified by using the information indicating the physique of the subject extracted by the extraction unit, and a generation unit that generates a learned model for each group through machine learning using, as learning data, image data indicating a medical image acquired by imaging the subject for each group and information indicating a region extracted from the medical image. | 2020-04-30 |
20200134820 | TUMOR BOUNDARY RECONSTRUCTION USING HYPERSPECTRAL IMAGING - In a computer implemented method of determining a boundary of a tumor region or other diseased tissue, hyper- or multispectral image data of a tissue sample including a tumor region or other diseased tissue is taken. The analysis includes a morphological analysis and a spectral analysis of the hyper- or multispectral image data resulting in a morphological tumor boundary and a spectral tumor boundary or a morphological diseased tissue boundary and a spectral diseased tissue boundary. These two boundaries are combined resulting in a combined tumor boundary or combined diseased tissue boundary, wherein an indication of reliability of the combined tumor boundary or combined diseased tissue boundary is given. | 2020-04-30 |
20200134821 | CONVOLUTIONAL NEURAL NETWORK AND ASSOCIATED METHOD FOR IDENTIFYING BASAL CELL CARCINOMA - A convolutional neural network (CNN) and associated method for identifying basal cell carcinoma are disclosed. The CNN comprises two convolution layers, two pooling layers and at least one fully-connected layer. The first convolution layer uses initial Gabor filters that model the kernel parameters setting in advance based on human professional knowledge. The method uses collagen fiber images for training images and converts doctors' knowledge to initiate the Gabor filters as featuring computerization. The invention provides better training performance in terms of training time consumption and training material overhead. | 2020-04-30 |
20200134822 | RECONSTRUCTION METHOD OF BIOLOGICAL TISSUE IMAGE, APPARATUS THEREFOR, AND IMAGE DISPLAY APPARATUS USING THE BIOLOGICAL TISSUE IMAGE - The present invention provides a method for classifying biological tissues with high precision compared to a conventional method. When measuring a spectrum which has a two-dimensional distribution that is correlated with a slice of a biological tissue, and acquiring a biological tissue image from the two-dimensional measured spectrum, the method includes dividing an image region into a plurality of small blocks, and then reconstructing the biological tissue image by using the measured spectrum and a classifier corresponding to each of the regions. | 2020-04-30 |
20200134823 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - An image processing apparatus supports detection of pathological change over time in portion of a captured region commonly included in a first image and a second image, the first image and the second image acquired by capturing a subject at different respective times. The image processing apparatus includes an acquisition unit configured to acquire a subtraction image of the first image and the second image representing the pathological change over time as a difference and a recording unit configured to record information indicating said portion using a name different from a name of the commonly included region in a storage unit in association with the subtraction image. | 2020-04-30 |
20200134824 | SMART METROLOGY ON MICROSCOPE IMAGES - Smart metrology methods and apparatuses disclosed herein process images for automatic metrology of desired features. An example method at least includes extracting a region of interest from an image, the region including one or more boundaries between different sections, enhancing at least the extracted region of interest based on one or more filters, generating a multi-scale data set of the region of interest based on the enhanced region of interest, initializing a model of the region of interest; optimizing a plurality of active contours within the enhanced region of interest based on the model of the region of interest and further based on the multi-scale data set, the optimized plurality of active contours identifying the one or more boundaries within the region of interest, and performing metrology on the region of interest based on the identified boundaries. | 2020-04-30 |
20200134825 | MEDICAL IMAGING APPARATUS, IMAGE PROCESSING APPARATUS, AND IMAGE PROCESSING METHOD - Provided is a technology for extracting an image of a target plane from 2D or 3D image data acquired by a medical imaging apparatus with a small amount of computation and at high speed. A plane of a target plane including a predetermined structure is extracted from image data of a subject. A region of the predetermined structure included in the plane is detected by applying a learning model learned using learning data including a target plane for learning including an image of the structure and a region-of-interest plane for learning obtained by cutting out and enlarging a partial region including the structure in the target plane for learning to a plurality of planes obtained from the image data, and the plane of the target plane is extracted based on the detected region of the predetermined structure. | 2020-04-30 |
20200134826 | ELECTRONIC APPARATUS, CONTROL METHOD FOR ELECTRONIC APPARATUS, AND NON-TRANSITORY COMPUTER READABLE MEDIUM - An electronic apparatus which generates a display image, includes: terminals; and at least one processor and/or at least one circuit to perform the operations of the following units: obtaining unit configured to obtain second images each having a second number of pixels from the terminals, wherein the second images form a first image having a first number of pixels, setting unit configured to set a region of the first image corresponding to the display image based on user input, and generating unit configured to generate the display image on the basis of one of the second images in a case where the number of pixels in the region is greater than a threshold. | 2020-04-30 |
20200134827 | METHOD AND APPARATUS FOR IMAGE SEGMENTATION USING AN EVENT SENSOR - A method for real-time semantic image segmentation using a monocular event-based sensor includes capturing a scene using a red, green, blue (RGB) sensor to obtain a plurality of RGB frames and an event sensor to obtain event data corresponding to each of the plurality of RGB frames, performing object labeling for objects in a first RGB frame among the plurality of RGB frames by identifying one or more object classes, obtaining an event velocity of the scene by fusing the event data corresponding to the first RGB frame and at least one subsequent RGB frame among the plurality of RGB frames, determining whether the event velocity is greater than a predefined threshold, and performing object labeling for objects in the at least one subsequent RGB frame based on the determination. | 2020-04-30 |
20200134828 | ROBOTIC SYSTEM WITH AUTOMATED OBJECT DETECTION MECHANISM AND METHODS OF OPERATING THE SAME - A system and method for operating a robotic system to register unrecognized objects is disclosed. The robotic system may use first image data representative of an unrecognized object located at a start location to derive an initial minimum viable region (MVR) and to implement operations for initially displacing the unrecognized object. The robotic system may analyze second image data representative of the unrecognized object after the initial displacement operations to detect a condition representative of an accuracy of the initial MVR. The robotic system may register the initial MVR or an adjustment thereof based on the detected condition. | 2020-04-30 |
20200134829 | Artificial Intelligence Enabled Metrology - Methods and systems for implementing artificial intelligence enabled metrology are disclosed. An example method includes segmenting a first image of structure into one or more classes to form an at least partially segmented image, associating at least one class of the at least partially segmented image with a second image, and performing metrology on the second image based on the association with at least one class of the at least partially segmented image. | 2020-04-30 |
20200134830 | ROBOTIC SYSTEM WITH AUTOMATED PACKAGE REGISTRATION MECHANISM AND MINIMUM VIABLE REGION DETECTION - The present disclosure relates to methods and systems for generating a verified minimum viable range (MVR) of an object. An exposed outer corner and exposed edges of an object may be identified by processing one or more image data. An initial MVR may be generated by identifying opposing parallel edges opposing the exposed edges. The initial MVR may be adjusted, and the adjusted result may be tested to generate a verified MVR. | 2020-04-30 |
20200134831 | SEGMENTING 3D INTRACELLULAR STRUCTURES IN MICROSCOPY IMAGES USING AN ITERATIVE DEEP LEARNING WORKFLOW THAT INCORPORATES HUMAN CONTRIBUTIONS - A facility for identifying the boundaries of 3-dimensional structures in 3-dimensional images is described. For each of multiple 3-dimensional images, the facility receives results of a first attempt to identify boundaries of structures in the 3-dimensional image, and causes the results of the first attempt to be presented to a person. For each of a number of 3-dimensional images, the facility receives input generated by the person providing feedback on the results of the first attempt. The facility then uses the following to train a deep-learning network to identify boundaries of 3-dimensional structures in 3-dimensional images: at least a portion of the plurality of 3-dimensional images, at least a portion of the received results, and at least a portion of provided feedback. | 2020-04-30 |
20200134832 | LOCATING TUMORS USING STRUCTURED LIGHT SCANNING - Provided in accordance with the present disclosure are systems for identifying a position of target tissue relative to surgical tools using a structured light detector. An exemplary system includes antennas configured to interact with a marker placed proximate target tissue inside a patient's body, a structured light pattern source, a structured light detector, a display device, and a computing device configured to receive data from the antennas indicating interacting with the marker, determine a distance between the antennas and the marker, cause the structured light pattern source to project and detect a pattern onto the antennas. The instructions may further cause the computing device to determine, a pose of the antennas, determine, based on the determined distance between the antennas and the marker, and the determined pose of the antennas, a position of the marker relative to the antennas, and display the position of the marker relative to the antennas. | 2020-04-30 |
20200134833 | DEEP NEURAL NETWORK ARCHITECTURE FOR IMAGE SEGMENTATION - An apparatus and method for encoding objects in a camera-captured image with a deep neural network pipeline including multiple convolutional neural networks or convolutional layers. After identifying at least a portion of the camera-capture image, a first convolutional layer is applied to the at least the portion of the camera-captured image and multiple subregion representations are pooled from the output of the first convolutional layer. One or more additional convolutions are performed. At least one deconvolution is performed and concatenated with the output of one or more convolutions. One or more final convolutions are performed. The at least the portion of the camera-captured image is classified as an object category in response to an output of the one or more final convolutions. | 2020-04-30 |
20200134834 | AUTOMATIC OBJECT REPLACEMENT IN AN IMAGE - Systems and techniques for automatic object replacement in an image include receiving an original image and a preferred image. The original image is automatically segmented into an original image foreground region and an original image object region. The preferred image is automatically segmented into a preferred image foreground region and a preferred image object region. A composite image is automatically composed by replacing the original image object region with the preferred image object region such that the composite image includes the original image foreground region and the preferred image object region. An attribute of the composite image is automatically adjusted. | 2020-04-30 |
20200134835 | Image Compression - A device, system, and method performs an image compression. The method includes receiving raw image data of an image and identifying objects in the image as one of a foreground object or a background object. The method includes generating first foreground image data for a first foreground object. The method includes generating first metadata for a first background object. The first metadata indicates a first identity and a first descriptive parameter for the first background object. The first descriptive parameter relates to how the first background object is situated in the image. The method includes generating first background image data for the first background object. The first background image data is empty data. The method includes storing processed image data for the image comprising the first foreground image data, the first metadata, and the first background image data. | 2020-04-30 |
20200134836 | SYSTEM AND METHOD FOR DETECTING INACTIVE OBJECTS - A system for detecting inactive objects includes a thermal imaging device arranged to acquire a thermal signature of an active object; movement detection processor arranged to process the thermal signature of the active object to monitor for any motion of the active object and whenupon the thermal signature indicates that the motion of the active object is below a movement threshold, determine that the active object is inactive. | 2020-04-30 |
20200134837 | METHODS AND APPARATUS TO IMPROVE EFFICIENCY OF OBJECT TRACKING IN VIDEO FRAMES - Methods, apparatus, systems and articles of manufacture to improve efficiency of object tracking in video frames are disclosed. An example apparatus includes a clusterer to cluster a map of a video frame into blobs; a comparator to determine an intersection over union value between the blobs and bounding boxes in a second video frame; and an interface to initiate object detection by a neural network on the first video frame when the intersection over union does not satisfy a threshold. | 2020-04-30 |
20200134838 | HAND DETECTION AND TRACKING METHOD AND DEVICE - For each frame of a video, a determination is made whether an image of a hand exists in the frame. When at least one frame of the video includes the image of the hand, locations of the hand in the frames of the video are tracked to obtain a tracking result. A verification is performed to determine whether the tracking result is valid in a current frame of the frames of the video. When the tracking result is valid in the current frame of the video, a location of the hand is tracked in a next frame. When the tracking result is not valid in the current frame, localized hand image detection is performed on the current frame. | 2020-04-30 |