02nd week of 2022 patent applcation highlights part 50 |
Patent application number | Title | Published |
20220012469 | METHOD FOR SHARING INFORMATION FOR IDENTIFYING A PERSON OR OBJECT - A method and apparatus for sharing information used to identify an object/person by a camera (e.g., a body-worn camera) is provided herein. During operation the apparatus will determine a set of characteristics that can be used to identify the object/person. The apparatus then analyzes the body-worn camera's FOV (or potential FOV) and removes characteristics from the set of characteristics to produce a minimal set of characteristics that can be used to identify the object/person in the body-worn cameras FOV. The minimal set of characteristics is then sent to the officer's body-worn camera for detection. | 2022-01-13 |
20220012470 | MULTI-USER INTELLIGENT ASSISTANCE - An intelligent assistant records speech spoken by a first user and determines a self-selection score for the first user. The intelligent assistant sends the self-selection score to another intelligent assistant, and receives a remote-selection score for the first user from the other intelligent assistant. The intelligent assistant compares the self-selection score to the remote-selection score. If the self-selection score is greater than the remote-selection score, the intelligent assistant responds to the first user and blocks subsequent responses to all other users until a disengagement metric of the first user exceeds a blocking threshold. If the self-selection score is less than the remote-selection score, the intelligent assistant does not respond to the first user. | 2022-01-13 |
20220012471 | FACE DETECTION TO ADDRESS PRIVACY IN PUBLISHING IMAGE DATASETS - Methods for face detection to address privacy in publishing image datasets is described. A method may include face classification in an online marketplace. A server system may receive, from a seller user device, a listing including an image for the online marketplace. The server system may classify, by at least one processor that implement a distribution-balance trained machine learning model, each human face candidate within the image as being one of a private human face or a non-private human face. The server system may receive, from a buyer user device, a search query that is mapped to the listing in the online marketplace. The server system may transmit, to the buyer user device, a query response including the listing that includes the image determined to not include any private human faces or obscures any private human faces within the image based on the classifying. | 2022-01-13 |
20220012472 | DEVICE FOR PROCESSING FACE FEATURE POINT ESTIMATION IMAGE ON BASIS OF STANDARD FACE MODEL, AND PHUSICAL COMPUTER-READABLE RECORDING MEDIUM IN WHICH PROGRAM FOR PROCESSING FACE FEATURE POINT ESTIMATION IMAGE ON BASIS OF STANDARD FACE MEDEL IS RECORDED - An image processing method includes the steps of: extracting a first two-dimensional feature point from a two-dimensional face image; on the basis of a geometric model of a standard face, deriving a three-dimensional feature point set including a first three-dimensional feature point corresponding to the first two-dimensional feature point; generating a three-dimensional face model including the three-dimensional feature point set; estimating an input pose of the two-dimensional face image to determine whether to update the three-dimensional feature point set; updating the three-dimensional feature point set by relocating the first three-dimensional feature point according to the first two-dimensional feature point, on the basis of the determination on whether to update the three-dimensional feature point set; and projecting the three-dimensional face model onto the two-dimensional face image. The present invention comprises a physical computer-readable recording medium in which a program for executing, in a computer, an image processing method is recorded. | 2022-01-13 |
20220012473 | NON-TRANSITORY COMPUTER-READABLE MEDIUM AND FACE AUTHENTICATION SYSTEM INCLUDING FACE AUTHENTICATION PROGRAM - A non-transitory computer-readable medium including a face authentication program for causing a computer device that executes face authentication using a plurality of face information registered in a storage unit with respect to a captured face image of a user to implement the following functions including a determination function of determining face information to be used for the face authentication from among the plurality of face information based on position estimation information of a user corresponding to each of the plurality of face information, which is registered in the storage unit in association with each of the plurality of face information, and a predetermined condition, and an authentication function of performing the face authentication using the determined face information with respect to the captured face image of the user. | 2022-01-13 |
20220012474 | Evaluating The Security Of A Facial Recognition System Using Light Projections - Embodiments of the invention are directed to systems, methods, and devices for testing the security of a facial recognition system (FRS). A target image depicting a target person enrolled in the FRS and a tester image depicting a tester may be obtained. A plurality of transformed images may be generated from an image of the target person or the tester image. A processed tester image (e.g., one that is likely to cause the FRS to misclassify) may be identified using the plurality of transformed images, the tester image, and the target image. Data representing a light pattern can be generated using the processed tester image and the light pattern can be projected onto a second person. Another image may be captured of the second person with the light pattern as projected. This image may be provided to the FRS and a remedial action may be performed based on the corresponding output. | 2022-01-13 |
20220012475 | Application with Mood Recognition, Tracking, and Reactions - An application software program (app) which uses camera hardware on a device to process one or more images and/or video for the purposes of observing mood status and changes in mood status and intensity, displaying mood graphically and tracking it through time, and possibly taking action, suggesting action, communicating to others, or alerting others. | 2022-01-13 |
20220012476 | ONLINE CALIBRATION OF 3D SCAN DATA FROM MULTIPLE VIEWPOINTS - A calibration system and method for online calibration of 3D scan data from multiple viewpoints is provided. The calibration system receives a set of depth scans and a corresponding set of color images of a scene that includes a human-object as part of a foreground of the scene. The calibration system extracts a first three-dimensional (3D) representation of the foreground based on a first depth scan and spatially aligns the extracted first 3D representation with a second 3D representation of the foreground. The first 3D representation and the second 3D representation are associated with a first viewpoint and a second viewpoint, respectively, in a 3D environment. The calibration system updates the spatially aligned first 3D representation based on the set of color images and a set of structural features of the human-object and reconstructs a 3D mesh of the human-object based on the updated first 3D representation of the foreground. | 2022-01-13 |
20220012477 | INFORMATION PROCESSING APPARATUS, CONTROL METHOD, AND NON-TRANSITORY STORAGE MEDIUM - An information processing apparatus ( | 2022-01-13 |
20220012478 | IMAGE ANALYSIS USING NEURAL NETWORKS FOR POSE AND ACTION IDENTIFICATION - An apparatus for performing image analysis to identify human actions represented in an image, comprising: a joint-determination module configured to analyse an image depicting one or more people using a first computational neural network to determine a set of joint candidates for the one or more people depicted in the image; a pose-estimation module configured to derive pose estimates from the set of joint candidates that estimate a body configuration for the one or more people depicted in the image; and an action-identification module configured to analyse a region of interest within the image identified from the derived pose estimates using a second computational neural network to identify an action performed by a person depicted in the image. | 2022-01-13 |
20220012479 | FISH BIOMASS, SHAPE, AND SIZE DETERMINATION - Methods, systems, and apparatuses, including computer programs encoded on a computer-readable storage medium for estimating the shape, size, and mass of fish are described. A pair of stereo cameras may be utilized to obtain right and left images of fish in a defined area. The right and left images may be processed, enhanced, and combined. Object detection may be used to detect and track a fish in images. A pose estimator may be used to determine key points and features of the detected fish. Based on the key points, a three-dimensional (3-D) model of the fish is generated that provides an estimate of the size and shape of the fish. A regression model or neural network model can be applied to the 3-D model to determine a likely weight of the fish. | 2022-01-13 |
20220012480 | GESTURE BASED AUTHENTICATION FOR AUTONOMOUS VEHICLES - A gesture based authentication system for an autonomous vehicle (AV) uses light detecting and ranging (lidar) to observe a user making a specific gesture and, in response to observing the gesture, authorizes the user to access the vehicle. The authentication system may first identify a human in the vicinity of the AV, and then compare a body position of the identified human to a model trained to determine if a human is performing the specific gesture. If the model determines that the identified human is performing the gesture, the AV authorizes the user to access the vehicle, e.g., to accept a delivery or to ride in the AV. | 2022-01-13 |
20220012481 | INFORMATION PROCESSING APPARATUS AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING PROGRAM - An information processing apparatus includes a processor configured to acquire recognized items obtained by recognizing characters in a first image showing a reading target including one or more first fields in which characters are written and a second field in which a name or a signature is written, if any one of the first fields is inadequate, create a second image having blank fields for the inadequate first field and the second field, if the second field is inadequate, create a second image having a blank field for the second field, and output the created second image. | 2022-01-13 |
20220012482 | LAYOUT ANALYSIS - A layout analysis method, an electronic device, and a non-transitory computer-readable storage medium are provided. The layout analysis method includes: obtaining coordinate information of a plurality of text lines in an image; creating a layout model of the image according to the coordinate information; analyzing a layout structure of the text lines based on the layout model; and determining an order of the text lines relative to each other based on the layout structure. | 2022-01-13 |
20220012483 | PERFORMANCE IMPROVEMENT WITH OBJECT DETECTION FOR SOFTWARE BASED IMAGE PATH - A computer-implemented method and system for processing a document page is based on text and non-text detections in an image path. An object block is generated for each image content identified within an input page. the blocks are extracted from the input document for downstream processing. Then, the object blocks are classified based on whether the content is text or non-text. The extracted non-text objects—which are specified by their bounding boxes—are processed separately from the rest of the content. The processing is performed on the text content blocks in parallel. However, when error diffusion is employed, the error diffusion is performed sequentially on the non-text content blocks to avoid stitching artifacts between individually error diffused patches in non-text areas. | 2022-01-13 |
20220012484 | APPROXIMATE MODELING OF NEXT COMBINED RESULT FOR STOPPING TEXT-FIELD RECOGNITION IN A VIDEO STREAM - Approximate modeling of next combined result for stopping text-field recognition in a video stream. In an embodiment, text-recognition results are generated from frames in a video stream and combined into an accumulated text-recognition result. A distance between the accumulated text-recognition result and a next accumulated text-recognition result is estimated based on an approximate model of the next accumulated text-recognition result, and a determination is made of whether or not to stop processing based on this estimated distance. After processing is stopped, the final accumulated text-recognition result may be output. | 2022-01-13 |
20220012485 | TEXT RECOGNITION IN A VIDEO STREAM USING A COMBINATION OF RECOGNITION RESULTS WITH PER-CHARACTER WEIGHTING - Text recognition in a video stream using combined recognition results with per-character weighting. In an embodiment, for each frame in a video stream, a text-recognition result is obtained and a frame weight is calculated. The text-recognition results of the frames are combined by aligning character-recognition results and calculating a character weight for each character-recognition result. At each position in the alignment, the character-recognition results are accumulated based on the character weights and frame weights to produce an accumulated text-recognition result that represents a text field in the video stream. | 2022-01-13 |
20220012486 | IDENTIFICATION OF TABLE PARTITIONS IN DOCUMENTS WITH NEURAL NETWORKS USING GLOBAL DOCUMENT CONTEXT - Aspects of the disclosure provide for mechanisms for identification of table partitions in documents using neural networks. A method of the disclosure includes obtaining a plurality of symbol sequences of a document having at least one table, determining a plurality of vectors representative of symbol sequences having at least one alphanumeric character or a table graphics element, processing the plurality of vectors using a first neural network to obtain a plurality of recalculated vectors, determining an association between a first recalculated vector and a second recalculated vector, wherein the first recalculated vector is representative of an alphanumeric sequence and the second recalculated vector is associated with a table partition, and determining, based on the association between the first recalculated vector and the second recalculated vector, an association between the alphanumeric sequence and the table partition. | 2022-01-13 |
20220012487 | SYSTEMS AND METHODS FOR CLASSIFYING PAYMENT DOCUMENTS DURING MOBILE IMAGE PROCESSING - Systems and methods are provided for processing an image of a financial payment document captured using a mobile device and classifying the type of payment document in order to extract the content therein. These methods may be implemented on a mobile device or a central server, and can be used to identify content on the payment document and determine whether the payment document is ready to be processed by a business or financial institution. The system can identify the type of payment document by identifying features on the payment document and performing a series of steps to determine probabilities that the payment document belongs to a specific document type. The identification steps are arranged starting with the fastest step in order to attempt to quickly determine the payment document type without requiring lengthy, extensive analysis. | 2022-01-13 |
20220012488 | RECEIPT IDENTIFICATION METHOD, APPARATUS, ELECTRONIC DEVICE AND COMPUTER-READABLE STORAGE MEDIUM - The disclosure provides a receipt identification method, apparatus, electronic device and computer-readable storage medium. The method includes: obtaining (S | 2022-01-13 |
20220012489 | APPARATUS AND METHOD FOR MOTOR IMAGERY CLASSIFICATION USING EEG - The present disclosure relates to an apparatus and method for motor imagery classification using electroencephalography (EEG), and more particularly, to an apparatus and method for motor imagery classification that extracts features in different domains included in EEG signals generated during motor imagery in real time and classifies a user's intentions using the features. | 2022-01-13 |
20220012490 | ABANDONED OBJECT DETECTION - System and techniques for abandoned object detection are described herein. a fence is established about a person and an object is detected within the fence. An entry is created in an object-person relationship data structure to establish a relationship between the person and the object within the fence. Then, the position of the object is monitored until an indication that the fence is terminated is received. If it is detected that the object is outside the fence during the monitoring, the person is alerted. | 2022-01-13 |
20220012491 | CONTEXTUAL USAGE CONTROL OF CAMERAS - Apparatus, systems, methods, and articles of manufacture are disclosed for contextual usage control of cameras. An example apparatus includes processor circuitry to execute the instructions to: access one or more images from a camera; detect an object in the one or more images; detect a human activity in the one or more images; build a context based on the object and the human activity; create a visual marker on the one or more images; determine a user voice command; determine a control based on the context, the visual marker, and the voice command; and cause a change in one or more of the one or more images based on the control. | 2022-01-13 |
20220012492 | OBJECT DETECTION DEVICE - An object detection device includes a region measurement unit, a region acquisition unit, a region determination unit, and an object detection unit. The region measurement unit measures, based on the detection result from at least one first sensor for detecting at least the azimuth of an object, at least an azimuth range in which the object exists, as an object-present region. The region acquisition unit acquires a common region that is the overlap between a detection region in which the first sensor can detect the position of the object and a detection region in which a plurality of second sensors for detecting the distance to an object can detect the position of the object. The region determination unit determines whether the object-present region and the common region overlap each other. When the object-present region and the common region overlap each other, the object detection unit detects the position of the object within the object-present region based on the distances detected by the second sensors between the second sensors and the object. | 2022-01-13 |
20220012493 | ROBOT LOCALIZATION - Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining that current data captured at a current location of a drone satisfies localization adjustment criteria; in response to determining that the current data captured at the current location of the drone satisfies the localization adjustment criteria, identifying previously captured image data; determining a previous expected location of the drone based on both an expected change in location of the drone and a first previous location determined from other image data captured before the previously captured image data; determining a location difference between the previous expected location of the drone and a second previous location determined from the previously captured image data; and determining the current location of the drone based on the location difference. | 2022-01-13 |
20220012494 | INTELLIGENT MULTI-VISUAL CAMERA SYSTEM AND METHOD - An intelligent multi-visual camera system is disclosed that includes a multiple visual sensor array and a control system. The multiple visual sensor array includes multiple visual cameras spaced apart from each other. The control system also receives input from the multiple visual cameras, stores instructions that cause the processor to: initiate a registration system that projects images from the multiple visual cameras into a single three-dimensional volume and coordinate overlapping pixels of adjacent images amongst each other; detect one or more features of interest in the images from the multiple visual cameras; track one or more features of interest in one frame in one image from the multiple visual cameras into a subsequent frame in a subsequent image from the multiple visual cameras; deduplicate the projected images from the multiple visual cameras onto the ground plane; and communicate information regarding the features of interest that have been detected. | 2022-01-13 |
20220012495 | VISUAL FEATURE TAGGING IN MULTI-VIEW INTERACTIVE DIGITAL MEDIA REPRESENTATIONS - Provided are mechanisms and processes for visual feature tagging in multi-view interactive digital media representations (MIDMRs). In one example, a process includes receiving a visual feature tagging request that includes an MIDMR of an object to be searched, where the MIDMR includes spatial information, scale information, and different viewpoint images of the object. A visual feature in the MIDMR is identified, and visual feature correspondence information is created that links information identifying the visual feature with locations in the viewpoint images. At least one image associated with the MIDMR is transmitted in response to the feature tagging request. | 2022-01-13 |
20220012496 | SECURITY SYSTEM AND SECURITY METHOD - A security system according to the present invention comprises: a wearable camera that can be worn by a person and can record a first image which has been captured; an unmanned aerial vehicle that can record a second image which has been captured by a camera mounted thereon; and a control device that acquires the position of the wearable camera and transmits a first instruction to the unmanned aerial vehicle to start recording the second image and to move toward the position of the wearable camera. | 2022-01-13 |
20220012497 | Methods and Systems for Data Representing Objects at Different Distances from a Virtual Vantage Point - An illustrative multiscale data system determines a first distance between a first object in a scene and a virtual vantage point at the scene. The multiscale data system also determines a second distance between a second object in the scene and the virtual vantage point. In an example in which the second distance is greater than the first distance, the multiscale data system generates, based on the first and second distances, a tiled representation associated with the virtual vantage point. The tiled representation in this example includes a first representation of the first object rendered at a first quality level and a second representation of the second object rendered at a second quality level lower than the first quality level. Corresponding methods and systems are also disclosed. | 2022-01-13 |
20220012498 | METHODS AND SYSTEMS FOR EVALUATING THE CAPACITY OF A CONTAINER - Empowered by augmented reality (AR) technologies, the present disclosure allows a user to display virtual content in a physical reality and turn an AR-ready handheld mobile device into a dimension measuring tool. The present disclosure allows the user to first display a virtual container asset, with its actual size in physical reality, in any given configuration, and then create a virtual dimensional equivalent of an item-to-be-fit based on dimensional data captured by a 6-degree-of-freedom (6DoF) device or the like. Finally, the user can place the virtual item into the virtual container to evaluate the capacity and fit in the given configuration. | 2022-01-13 |
20220012499 | SPATIAL-TEMPORAL GRAPH-TO-SEQUENCE LEARNING BASED GROUNDED VIDEO DESCRIPTIONS - Techniques for generating a grounded video description for a video input are provided. Hierarchical Attention based Spatial-Temporal Graph-to-Sequence Learning framework for producing a GVD is provided by generating an initial graph representing a plurality of object features in a plurality of frames of a received video input and generating an implicit graph for the plurality of object features in the plurality of frames using a similarity function. The initial graph and the implicit graph are combined to form a refined graph and the refined graph is processed using attention processes, to generate an attended hierarchical graph of the plurality of object features for the plurality of frames. The grounded video description is generated for the received video input using at least the hierarchical graph of the plurality of features. | 2022-01-13 |
20220012500 | DEVICE AND METHOD FOR GENERATING SUMMARY VIDEO - A method for generating a summary video includes generating a user emotion graph of a user watching a first video. The method also includes obtaining a character emotion graph for a second video, by analyzing an emotion of a character in a second video that is a target of summarization. The method further includes obtaining an object emotion graph for an object in the second video, based on an object appearing in the second video. Additionally the method includes obtaining an image emotion graph for the second video, based on the character emotion graph and the object emotion graph. The method also includes selecting at least one first scene in the second video by comparing the user emotion graph with the image emotion graph. The method further includes generating the summary video of the second video, based on the at least one first scene. | 2022-01-13 |
20220012501 | METHOD AND ARRANGEMENT FOR DETERMINING A GROUP OF PERSONS TO BE CONSIDERED - The invention relates to a method and an arrangement ( | 2022-01-13 |
20220012502 | ACTIVITY DETECTION DEVICE, ACTIVITY DETECTION SYSTEM, AND ACTIVITY DETECTION METHOD - An object of the disclosure is to provide flexible and highly accurate activity detection means. Provided is an activity detection device including: an input unit that inputs an image sequence including a first image and a second image; an object detection unit that detects a first object in the image sequence; a component model unit that generates first characteristic information characterizing the first object and includes at least one individually trainable component model; and an activity detection unit that generates a first object state corresponding to the first object in the first image and a second object state corresponding to the first object in the second image based on the first characteristic information and determines an activity related to the first object based on the first and second object states. | 2022-01-13 |
20220012503 | SYSTEMS AND METHODS FOR DERIVING AN AGENT TRAJECTORY BASED ON MULTIPLE IMAGE SOURCES - Examples disclosed herein may involve a computing system that is operable to (i) receive a first sequence of images captured by a monocular camera associated with a vehicle during a given period of operation and a second sequence of image pairs captured by a stereo camera associated with the vehicle during the given period of operation, (ii) derive, from the first sequence of images captured by the monocular camera, a first track for a given agent that comprises a first sequence of position information for the given agent, (iii) derive, from the second sequence of image pairs captured by the stereo camera, a second track for the given agent that comprises a second sequence of position information for the given agent, and (iv) determine a trajectory for the given agent based on the first and second tracks for the given agent. | 2022-01-13 |
20220012504 | IDENTIFYING A SPECIFIC OBJECT IN A TWO-DIMENSIONAL IMAGE OF OBJECTS - An object detection system can identify a specific object in a two-dimensional image. A processor can receive the two-dimensional image with bounding boxes around objects. The processor can cause a point to appear in the two-dimensional image. The point can represent a position, in three-dimensional space, of the specific object. The processor can determine an existence of a condition. The condition can be that the point is enclosed by a plurality of bounding boxes. The processor can receive, in response to the existence of the condition, a depth image. The processor can determine, in response to the existence of the condition and based on information included in the depth image and a location of the point in the two-dimensional image, a specific bounding box that encloses the point. The processor can cause, based on a location of the specific bounding box, an indication of the specific object to be presented. | 2022-01-13 |
20220012505 | OBJECT DETECTION DEVICE - In an object detection device for detecting an object, a single sensor unit includes a light emitting unit and a light receiving unit. The light receiving unit includes a two-dimensional array of light receiving elements and outputs a light reception signal in response to a light reception state of a set of the light receiving elements for each pixel. The sensor unit is configured to, based on the light reception signals, acquire first information indicating reception intensity of the reflected light at each pixel, second information indicating reception intensity of background light that is light other than the reflected light, at each pixel, and third information indicating a distance to the object at each pixel as a pixel value of the pixel. A detection unit is configured to use all of the first to third information included in the pixel values of the respective pixels to detect the object. | 2022-01-13 |
20220012506 | SYSTEM AND METHOD OF SEGMENTING FREE SPACE BASED ON ELECTROMAGNETIC WAVES - A method and system for segmenting free space area, in real-time, based on data from an electromagnetic device may include: an image acquisition device adapted to capture an image of a scene; an electromagnetic device adapted to produce data corresponding to the scene; a non-transitory memory device, wherein modules of instruction code may be stored; and a processor, associated with the memory device, and configured to execute the modules of instruction code. Upon execution of said modules of instruction code, the processor may be configured to train a module to perceive elements in a scene. | 2022-01-13 |
20220012507 | SYSTEM AND METHOD FOR RECOGNIZING INTERSECTION BY AUTONOMOUS VEHICLES - A system and method for autonomous navigation. The system includes a computing device having a processor and a storage device storing computer executable code. The computer executable code, when executed at the processor, is configured to: provide a planned path having intersections in an environment, where the intersections and roads therebetween are represented by sequential place identifications (IDs); receive images of the environment; perform convolutional neural network on the images to obtain predicted place IDs; when a predicted place ID of a current image is next to a place ID of a previous image, and is the same as predicted place IDs of a predetermined number of following images, define the predicted place ID as place IDs of the current and the following images; and perform autonomous navigation based on the planned path and the image place IDs. | 2022-01-13 |
20220012508 | METHOD AND APPARATUS FOR CONTROLLING PARKING OF VEHICLE - A method and apparatus for controlling parking are disclosed. The present disclosure in at least one embodiment provides an apparatus for controlling parking of a vehicle equipped with a radar sensor, including a processor for obtaining an input signal for parking control and determining whether to start a parking control operation, a radar controller configured, upon starting the parking control operation, to set a detection mode of the radar sensor to a normal detection mode or a heartbeat detection mode according to a target. The processor determines, when the candidate parking space is narrower than a space needed to park the vehicle, whether another parked vehicle is available to reposition, and if yes, detects whether or not the other parked vehicle carries a driver. The apparatus further includes a communication signal transmitter. | 2022-01-13 |
20220012509 | OVERHEAD-VIEW IMAGE GENERATION DEVICE, OVERHEAD-VIEW IMAGE GENERATION SYSTEM, AND AUTOMATIC PARKING DEVICE - An overhead-view image generation device includes: a moving amount calculation unit that calculates a moving distance of a vehicle; a linear overhead-view image generation unit that generates an overhead-view image obtained by conversion of a viewpoint of a captured image of a camera into an overhead viewpoint, and generates a linear overhead-view image obtained by conversion of a shape of the generated overhead-view image into a linear shape; a distance-based turning angle generation unit that calculates, using a turning amount of the vehicle indicated by sensor data of a steering angle sensor and the moving distance calculated by the moving amount calculation unit, distance-based turning angle information indicating a turning angle of the vehicle based on the moving distance; and an overhead-view image reconstruction unit that reconstructs the overhead-view image using the linear overhead-view image and the distance-based turning angle information. | 2022-01-13 |
20220012510 | METHODS AND SYSTEMS OF HANDWRITING RECOGNITION IN VIRTUALIZED-MAIL SERVICES - In one aspect, a computerized method useful for dynamic location-based virtualized mail services includes the step of determining an identity of a user receiving a physical mail. The method includes the step of determining a location of the user. The method includes the step of determining a set of delivery locations within a specified distance of the user's current location. The method includes the step of communicating, via an electronic message, the delivery location to the user's mobile device. | 2022-01-13 |
20220012511 | SYSTEMS AND METHODS FOR ENROLLMENT IN A MULTISPECTRAL STEREO FACIAL RECOGNITION SYSTEM - A computing machine accesses conventional image data comprising a photograph of a first person. The computing machine converts, using a conventional image neural network adapter engine, the conventional image data into a model data format representing the first person, wherein the model data format is a format that is standardized for both conventional image data and stereo pair image data. The computing machine generates, using a biometric task neural network engine and based on the model data format data representing the first person, a task output representing the first person. The computing machine transmits a representation of the task output representing the first person. | 2022-01-13 |
20220012512 | INTELLIGENT GALLERY MANAGEMENT FOR BIOMETRICS - A system provides intelligent gallery management for biometrics. A first gallery is obtained that includes biometric and/or other information on a population of people. An application is identified. A subset of the population of people is identified based on the application. A second gallery is derived from the first gallery by pulling the information for the subset of the population of people without pulling the information for the population of people not in the subset. Biometric identification (such as facial recognition) for the application may then be performed using the second gallery rather than the first gallery. In this way, the system is improved as less time is required for biometric identification, fewer device resources are used, and so on. | 2022-01-13 |
20220012513 | RECONFIGURABLE PARALLEL 3-DIMENSIONAL CONVOLUTION CLUSTER ENGINE - Disclosed is a reconfigurable parallel 3-Dimensional (3-D) convolution engine for performing 3-D Convolution and parallel feature map extraction on an image. The reconfigurable parallel 3-D convolution engine further comprises a plurality of CNN reconfigurable engines configured to perform 3-D convolution, in parallel, to process a plurality of feature maps, a kernel memory space, present in each instance of CNN reconfigurable engine, capable for holding a set of parameters associated to a network layer having each operational instance of CNN reconfigurable engine, and at least one memory controller, an Input Feature Map Memory (FMM) cluster and an Output FMM cluster. | 2022-01-13 |
20220012514 | IDENTIFICATION INFORMATION ASSIGNMENT APPARATUS, IDENTIFICATION INFORMATION ASSIGNMENT METHOD, AND PROGRAM - It reduces labor and time to generate training data for the training model. An identification information assignment apparatus includes an acquirer configured to acquire a plurality of pieces of image data, an assigner configured to assign identification information to image data selected from the plurality of pieces of image data by using a learning model after learning, and an updater configured to update the learned model using the image data to which the identification information is assigned, wherein the assigner assigns identification information to a rest of the image data acquired by the acquirer using the learned model that has been updated. | 2022-01-13 |
20220012515 | SYSTEM, METHOD AND COMPUTER PROGRAM FOR GUIDED IMAGE CAPTURING OF A MEAL - A system including circuitry configured to process multispectral image data of a meal to obtain information on the contents of the meal; and generate, based on the obtained information, a query with guidance to change image capture settings. | 2022-01-13 |
20220012516 | OBJECT RECOGNITION SYSTEM AND METHOD - The present disclosure relates to an object recognition system and method. The system comprises: an illumination apparatus configured to generate an illumination light for illuminating an object; a lighting sensor configured to acquire a first lighting parameter of an ambient light in a recognition environment in which the object is located; an imaging apparatus configured to acquire imaging data of the object; a first controller communicatively connected with the illumination apparatus and the lighting sensor, and configured to control a second lighting parameter of the illumination light generated by the illumination apparatus according to the first lighting parameter, until the first lighting parameter of the ambient light is within a preset parameter range; and a processor communicatively connected with the imaging apparatus and the first controller, and configured to recognize the object according to imaging data of the object under the ambient light within the preset parameter range. | 2022-01-13 |
20220012517 | SYSTEM AND METHOD FOR DETECTING AND TRACKING AN OBJECT - A method includes receiving a first image that is captured at a first time. The method also includes detecting a location of a first object in the first image. The method also includes determining a region of interest based at least partially upon the location of the first object in the first image. The method also includes receiving a second image that is captured at a second time. The method also includes identifying the region of interest in the second image. The method also includes detecting a location of a second object in a portion of the second image that is outside of the region of interest. | 2022-01-13 |
20220012518 | METHOD AND APPARATUS FOR PRESENTING OBJECT ANNOTATION TASKS - An approach is provided for presenting an annotation task. The approach involves, for example, selecting a designated number of one or more points in an image. The approach also involves providing data for presenting a user interface indicating the one or more points in the image comprising the designated number. The user interface provides at least one user interface element for annotating one or more objects in the image corresponding to the designated number of the one or more points during an annotation session. The approach further involves initiating an end of the annotation session based on determining that the one or more objects in the image have been annotated. The approach further involves storing the annotated one or more objects. | 2022-01-13 |
20220012519 | INDUSTRIALIZED SYSTEM FOR RICE GRAIN RECOGNITION AND METHOD THEREOF - An industrialized system and method for rice grain recognition. An optical image is taken and transmitted to a digital platform, wherein the system segments the optical image and extracts and/or measures appropriate grain features from the image describing different aspects of the grain. The image is processed by the system which includes a selector selecting different machine learning structures, applying the different machine learning structures to the extracted features for rice grain recognition, and selecting the best of the applied machine learning structures by a random sampling process. The selected best of the applied machine learning structures is further optimized by varying an appropriate threshold by a threshold trigger based on a confusion matrix comprising. An active learning structure based on the confusion matrix to the user. The system is retrained based on the feedback parameters of the feedback loop. | 2022-01-13 |
20220012520 | ELECTRONIC DEVICE AND CONTROL METHOD THEREFOR - An electronic device and a control method therefor are provided. The present electronic device comprises: a communication interface including a circuit, a memory for storing at least one instruction, and a processor for executing the at least one instruction, wherein the processor acquires contents through the communication interface, acquires information about a text included in an image of the contents, and acquires, on the basis of the information about the text included in the image of the contents, caption data of the contents by performing voice recognition for voice data included in the contents. | 2022-01-13 |
20220012521 | SYSTEM FOR LUMINANCE QUALIFIED CHROMATICITY - A test and measurement device is described that has an input for receiving a selected image, a display output, and one or more processors configured to receive a maximum and minimum luminance value related to the selected image, and generate a chromaticity diagram of the image on the display output for only those pixels in the selected image that have luminance values between the maximum and minimum luminance values. The device may also generate a modified image from the selected image in which pixels from the selected image that fall within the maximum and minimum luminance value are reproduced in the modified image without modification and other pixels not within the maximum and minimum luminance value are modified. Methods are also described. | 2022-01-13 |
20220012522 | PREPROCESSING IMAGES FOR OCR USING CHARACTER PIXEL HEIGHT ESTIMATION AND CYCLE GENERATIVE ADVERSARIAL NETWORKS FOR BETTER CHARACTER RECOGNITION - A text extraction computing method that comprises calculating an estimated character pixel height of text from a digital image. The method may scale the digital image using the estimated character pixel height and a preferred character pixel height. The method may binarizes the digital image. The method may remove distortions using a neural network trained by a cycle GAN on a set of source text images and a set of clean text images. The set of source text images and clean text images are unpaired. The source text images may be distorted images of text. Calculating the estimated character pixel height may include summarizing the rows of pixels into a horizontal projection, and determining a line-repetition period from the projection, and quantifying the portion of the line-repetition period that corresponds to the text as the estimated character pixel height. The method may extract characters from the digital image using OCR. | 2022-01-13 |
20220012523 | REPAIR DIAGNOSTIC SYSTEM AND METHOD - A computer-implemented repair diagnostic method is provided that comprises receiving first image data representing an object with a fault that a user wishes to report, recognising the object by comparing information of the first image data with information in an object datastore comprising information on a plurality of objects, and storing information on the recognised object in a fault diagnostic report. | 2022-01-13 |
20220012524 | IMAGE PROCESSING APPARATUS, OPERATION METHOD OF IMAGE PROCESSING APPARATUS, AND OPERATION PROGRAM OF IMAGE PROCESSING APPARATUS - There is provided an image processing apparatus including: a display control unit that performs a control for displaying a learning input image which is input, as learning data, to a segmentation model for performing semantic segmentation, which determines a plurality of classes in an image in units of pixels; a reception unit that receives, for each of a plurality of estimated regions which are estimated as different classes in the learning input image, an input of a marker having a size smaller than a size of the estimated region; a calculation unit that calculates feature quantities for each of a plurality of partitions in the learning input image; a classification unit that classifies a plurality of the feature quantities for each of the plurality of partitions into clusters for at least the number of the estimated regions; and a generation unit that generates an annotation candidate image in which a classification result of the clusters is reflected in the learning input image so as to be identified. | 2022-01-13 |
20220012525 | HISTOGRAM GENERATION - Embodiments of the present invention relate to a method, system and computer program product for histogram generation. In an embodiment, a first set of bins are acquired for a histogram based on the plurality of data points. In response to receiving a data point, a bin closest to the data point is determined from the first set of bins. In response to a distance between the data point and the bin not exceeding a threshold, the data point is merged into a target bin of the first set of bins, where the width of the target bin after merging the data point is closest to an average width of the first set of bins before the merging. In other embodiments, a system and a computer program product are disclosed. | 2022-01-13 |
20220012526 | SYSTEMS AND METHODS FOR IMAGE RETRIEVAL - The present disclosure relates to systems and methods for image retrieval. The system may determine a plurality of difference degrees associated with an image set including a plurality of candidate images and a target image, each of the plurality of difference degrees corresponding to two images in the image set. For each image in the image set, the system may determine an extended subset based on the plurality of difference degrees. For each of the plurality of candidate images, the system may determine an extended difference degree between the candidate image and the target image based on an extended subset corresponding to the candidate image and an extended subset corresponding to the target image. The system may identify a result image corresponding to the target image from the plurality of candidate images based on the extended difference degrees corresponding to the plurality of candidate images. | 2022-01-13 |
20220012527 | FRAMEWORK FOR FEW-SHOT TEMPORAL ACTION LOCALIZATION - Systems and techniques that facilitate few-shot temporal action localization based on graph convolutional networks are provided. In one or more embodiments, a graph component can generate a graph that models a support set of temporal action classifications. Nodes of the graph can correspond to respective temporal action classifications in the support set. Edges of the graph can correspond to similarities between the respective temporal action classifications. In various embodiments, a convolution component can perform a convolution on the graph, such that the nodes of the graph output respective matching scores indicating levels of match between the respective temporal action classifications and an action to be classified. In various embodiments, an instantiation component can input into the nodes respective input vectors based on a proposed feature vector representing the action to be classified. In various cases, the respective temporal action classifications can correspond to respective example feature vectors, and the respective input vectors can be concatenations of the respective example feature vectors and the proposed feature vector. | 2022-01-13 |
20220012528 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM - An information processing apparatus ( | 2022-01-13 |
20220012529 | Map Display Method And Apparatus - This application discloses a map display method and apparatus, where the method includes: obtaining an initial image, where a first road is included in the initial image. The initial image is divided into a first sub-image and a second sub-image, where the first road is not included in the first sub-image, and the first road is included in the second sub-image. The first sub-image is mapped to a first plane of a transition model, and the second sub-image is mapped to a second plane of the transition model, where there is an included angle between the first plane and the second plane, and the first plane is parallel to a screen of a display device. The second plane is controlled to move by means of the transition model, until the included angle is reduced from a first angle to a second angle, and a three-dimensional map display animation is obtained. | 2022-01-13 |
20220012530 | ATTRIBUTIONALLY ROBUST TRAINING FOR WEAKLY SUPERVISED LOCALIZATION AND SEGMENTATION - Embodiments are disclosed for training a neural network classifier to learn to more closely align an input image with its attribution map. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving a training image comprising a representation of one or more objects, the training image associated with at least one label for the representation of the one or more objects, generating a perturbed training image based on the training image using a neural network, and training the neural network using the perturbed training image by minimizing a combination of classification loss and attribution loss to learn to align an image with its corresponding attribution map. | 2022-01-13 |
20220012531 | METHOD FOR CONFIGURING AN IMAGE EVALUATION DEVICE AND ALSO IMAGE EVALUATION METHOD AND IMAGE EVALUATION DEVICE - The aim of the invention is to configure an image analysis device (BA). This is achieved in that a plurality of training images (TPIC) assigned to an object type (OT) and an object sub-type (OST) are fed into a first neural network module (CNN) in Order to detect image features. Furthermore, training output data sets (FEA) of the first neural network module (CNN) are fed into a second neural network module (MLP) in Order to detect object types using image features. According to the invention, the first and second neural network module (CNN, MLP) are trained together such that training output data sets (OOT) of the second neural network module (MLP) at least approximately reproduce the object types (OT) assigned to the training images (TPIC). Furthermore, for each object type (OT | 2022-01-13 |
20220012532 | MYOCARDIUM IMAGE ANALYSIS METHOD AND DEVICE - A myocardium image analysis method comprising acquiring a target image including precontrast-enhanced myocardium, based on a type of coronary artery related to the myocardium, distinguishing the myocardium included in the target image, using an artificial neural network, providing information on the distinguished myocardium, wherein the artificial neural network is trained based on a training database generated by matching images for training of precontrast-enhanced coronary artery and myocardium and images for training of postcontrast-enhanced coronary artery and myocardium. | 2022-01-13 |
20220012533 | Object Recognition Method and Apparatus - This application discloses an object recognition method and apparatus in the field of artificial intelligence. This application relates to the field of artificial intelligence, and specifically, to the field of computer vision. The method includes: obtaining one or more body regions of a to-be-recognized image; determining a saliency score of each of the one or more body regions; and when a saliency score of a body region A is greater than or equal to a categorization threshold, determining a feature vector of an object in the body region A based on a feature of the object in the body region A, and determining a category of the object in the body region A based on the feature vector of the object in the body region A and a category feature vector in a feature library, where the body region A is any one of the one or more body regions. | 2022-01-13 |
20220012534 | DENOISING AUTOENCODER IMAGE CAPTIONING - In an approach to augmenting a caption dataset by leveraging a denoising autoencoder to sample and generate additional captions from the ground truth captions, one or more computer processors generate a plurality of new captions utilizing an autoencoder fed with one or more noisy captions, wherein the autoencoder is trained with a dataset comprising a plurality of ground truth captions. The one or more computer processors calculate an importance weight for each new caption in the plurality of generated new captions as compared to a plurality of associated ground truth captions based on a consensus metric. The one or more computer processors train a caption model with the generated plurality of new captions and associated calculated weights. | 2022-01-13 |
20220012535 | Augmenting Training Data Sets for ML Classifiers Using Classification Metadata - Techniques for augmenting training data sets for machine learning (ML) classifiers using classification metadata are provided. In one set of embodiments, a computer system can train a first ML classifier using a training data set, where the training data set comprises a plurality of data instances, where each data instance includes a set of features, and where the training results in a trained version of the first ML classifier. The computer system can further classify each data instance in the plurality of data instances using the trained version of the first ML classifier, the classifications generating classification metadata for each data instance, and augment the training data set with the classification metadata to create an augmented version of the training data set. The computer system can then train a second ML classifier using the augmented version of the training data set. | 2022-01-13 |
20220012536 | CREATING AN IMAGE UTILIZING A MAP REPRESENTING DIFFERENT CLASSES OF PIXELS - A method, computer readable medium, and system are disclosed for creating an image utilizing a map representing different classes of specific pixels within a scene. One or more computing systems use the map to create a preliminary image. This preliminary image is then compared to an original image that was used to create the map. A determination is made whether the preliminary image matches the original image, and results of the determination are used to adjust the computing systems that created the preliminary image, which improves a performance of such computing systems. The adjusted computing systems are then used to create images based on different input maps representing various object classes of specific pixels within a scene. | 2022-01-13 |
20220012537 | Augmentation of Audiographic Images for Improved Machine Learning - Generally, the present disclosure is directed to systems and methods that generate augmented training data for machine-learned models via application of one or more augmentation techniques to audiographic images that visually represent audio signals. In particular, the present disclosure provides a number of novel augmentation operations which can be performed directly upon the audiographic image (e.g., as opposed to the raw audio data) to generate augmented training data that results in improved model performance. As an example, the audiographic images can be or include one or more spectrograms or filter bank sequences. | 2022-01-13 |
20220012538 | COMPACT REPRESENTATION AND TIME SERIES SEGMENT RETRIEVAL THROUGH DEEP LEARNING - Systems and methods for retrieving similar multivariate time series segments are provided. The systems and methods include extracting a long feature vector and a short feature vector from a time series segment, converting the long feature vector into a long binary code, and converting the short feature vector into a short binary code. The systems and methods further include obtaining a subset of long binary codes from a binary dictionary storing dictionary long codes based on the short binary codes, and calculating similarity measure for each pair of the long feature vector with each dictionary long code. The systems and methods further include identifying a predetermined number of dictionary long codes having the similarity measures indicting a closest relationship between the long binary codes and dictionary long codes, and retrieving a predetermined number of time series segments associated with the predetermined number of dictionary long codes. | 2022-01-13 |
20220012539 | EVALUATING DEVICE, PLANT CONTROL ASSIST SYSTEM, EVALUATION METHOD, AND PROGRAM - An evaluating device includes a first acquisition unit configured to acquire a first index, a second acquisition unit configured to acquire a second index, and an evaluating unit configured to evaluate reliability. The first index indicates the difference between learning input data and actual operation input data in data space. The second index indicates the difference in the ignition tendency of the neurons between the time of input of the learning input data in the learning model of the neural network and the time of input of the actual operation input data in the learning model of the neural network. The evaluating unit evaluates the reliability of the prediction value output from the learning model with respect to the actual operation input data based on the first index acquired by the first acquisition unit and the second index acquired by the second acquisition unit. | 2022-01-13 |
20220012540 | LEARNING DEVICE, LEARNING METHOD, AND LEARNING PROGRAM - The learning device | 2022-01-13 |
20220012541 | FINGERPRINT IMAGE PROCESSING METHODS AND APPARATUSES - Methods, systems, and apparatus for operations for processing fingerprint images. An example system includes obtaining an original fingerprint trace image of a fingerprint trace left by a user on a target object; inputting the original fingerprint trace image to a pre-trained fingerprint image processing model that is configured to process the original fingerprint trace image in accordance with pre-trained parameters of the pre-trained fingerprint image processing model; obtaining as output a target fingerprint trace image from the fingerprint image processing model; and using the target fingerprint trace image as a test fingerprint image for performing a test on a fingerprint recognition device, wherein a degree of matching between a fingerprint in the target fingerprint trace image and a real fingerprint that corresponds to a same finger is greater than or equal to a predetermined threshold. | 2022-01-13 |
20220012542 | BANDIT-BASED TECHNIQUES FOR FAIRNESS-AWARE HYPERPARAMETER OPTIMIZATION - In various embodiments, a process for fairness-aware hyperparameter optimization based on bandit-based techniques includes receiving a fairness evaluation metric for evaluating a fairness of a machine learning model to be trained and receiving a performance metric for evaluating performance of the machine learning model to be trained. The process includes automatically evaluating candidate combinations of hyperparameters of the machine learning model based at least in part on multi-objective optimization including scalarization and using the fairness evaluation metric and the performance metric to select a hyperparameter combination to utilize among the candidate combinations of hyperparameters, wherein evaluating the candidate combinations of hyperparameters of the machine learning model includes automatically and dynamically determining a relative weighting between the fairness evaluation metric and the performance metric. The process includes using the selected hyperparameter combination to train the machine learning model. | 2022-01-13 |
20220012543 | ENTITY LEARNING RECOGNITION - An entity learning recognition method and computer program product include learning training a model based on a combination of an original entity and an augmented entity in an augmented database, where the entity includes an image that is used for a training of the model and where the training is based on a visual element portion of the image with added noise. | 2022-01-13 |
20220012544 | MIXUP IMAGE CAPTIONING - In an approach to augmenting caption datasets, one or more computer processors sample a ratio lambda from a probability distribution based on a pair of datapoints contained in a dataset, wherein each datapoint in the pair of datapoints comprises an image and an associated caption; extend the dataset by generating one or more new datapoints based on the sampled ratio lambda for each pair of datapoints in the dataset, wherein the sampled ratio lambda incorporates an interpolation of features associated with the pair of datapoints into the generated one or more new datapoints; identify one or more objects contained within a subsequent image utilizing an image model trained utilizing the extended dataset; generate a subsequent caption for one or more identified objects contained within the subsequent image utilizing a language generating model trained utilizing the extended dataset. | 2022-01-13 |
20220012545 | METHOD FOR TRAINING A MACHINE ABLE TO DETERMINE CHARACTERISTICS OF PLANT ELEMENTS - A method for training an automatic learning machine ( | 2022-01-13 |
20220012546 | MEASUREMENT OF THE SENSITIVITY OF CLASSIFIERS BASED ON INTERACTING FAULTS - A method for measuring the sensitivity of a classifier. The method includes: at least one input data set, including image data, is provided; an initial class assignment is ascertained for the at least one input data set with the aid of the classifier; a predefined number of different faults is ascertained from the input data set based on the objectives, in that a modification of the input data set formed by the joint application of all of these faults is mapped by the classifier to a class assignment, which differs from the initial class assignment according to the stipulation of a predefined criterion; while a modification of the input data set formed by applying only one of these faults is mapped by the classifier to a class assignment, which corresponds to the initial class assignment according to the stipulation of the predefined criterion. | 2022-01-13 |
20220012547 | METHOD AND APPARATUS FOR CONTROLLING SMART DEVICE TO PERFORM CORRESPONDING OPERATIONS - Embodiments of the present disclosure provides a device control method, an apparatus, an electronic device, and a computer readable storage medium, the method including: acquiring a device control instruction input by a user, acquiring at least one of user information, environment information, and device information, and controlling at least one target device to perform a corresponding operation based on the acquired information and the device control instruction. The embodiments of the present disclosure implement the safe and convenient control of a smart device to perform corresponding operations. | 2022-01-13 |
20220012548 | OPTIMIZATION DEVICE, GUIDANCE SYSTEM, OPTIMIZATION METHOD, AND PROGRAM - Upper-order parameters and lower-order parameters can be optimized by performing evaluation a small number of times. An optimization apparatus | 2022-01-13 |
20220012549 | IMAGE CLASSIFIER COMPRISING A NON-INJECTIVE TRANSFORMATION - A computer-implemented method of training an image classifier which uses any combination of labelled and/or unlabelled training images. The image classifier comprises a set of transformations between respective transformation inputs and transformation outputs. An inverse model is defined in which for a deterministic, non-injective transformation of the image classifier, its inverse is approximated by a stochastic inverse transformation. During training, for a given training image, a likelihood contribution for this transformation is determined based on a probability of its transformation inputs being generated by the stochastic inverse transformation given its transformation outputs. This likelihood contribution is used to determine a log-likelihood for the training image to be maximized (and its label, if the training image is labelled), based on which the model parameters are optimized. | 2022-01-13 |
20220012550 | Internal Load Balancer for Tree-Based Ensemble Classifiers - Techniques for implementing a tree-based ensemble classifier comprising an internal load balancer are provided. In one set of embodiments, the tree-based ensemble classifier can receive a query data instance and select, via the internal load balancer, a subset of its decision trees for processing the query data instance. The tree-based ensemble classifier can then query each decision tree in the selected subset with the query data instance, combine the per-tree classifications generated by the subset trees to generate a subset classification, and determine whether a confidence level associated with the subset classification is sufficiently high. If the answer is yes, the tree-based ensemble classifier can output the subset classification as a final classification result for the query data instance. If the answer is no, the tree-based ensemble classifier can repeat the foregoing steps until a sufficient confidence level is reached or until all of its decision trees have been selected and queried. | 2022-01-13 |
20220012551 | MACHINE LEARNING APPARATUS, MACHINE LEARNING METHOD, AND COMPUTER-READABLE RECORDING MEDIUM - A machine learning apparatus | 2022-01-13 |
20220012552 | INFORMATION PROCESSING DEVICE AND INFORMATION PROCESSING METHOD - An information processing device on a server side includes: a predetermined number of recognition units, for which a model updated by performing image recognition in a predetermined number of vehicles and executing unsupervised learning is each set, configured to perform image recognition on an image, on which image recognition has been performed in a predetermined number of the vehicles; and an evaluation value calculation unit configured to evaluate recognition results obtained in a predetermined number of the recognition units and calculate an evaluation value for each of the recognition units. The information processing device on the vehicle side includes an execution unit that executes unsupervised learning, and a determination unit that determines whether learning has been performed correctly or not for a model updated in the execution unit on the basis of an evaluation value found on the server side. | 2022-01-13 |
20220012553 | Color Validation Apparatus, Color Validation Method and Computer-Readable Recording Medium - In accordance with a user operation, an apparatus obtains one or more designated positions on an image, the one or more designated positions being one or more positions at which each of one or more designated colors designated for printing of the image is to be printed. The apparatus generates a printing file for causing a printer to print a patch of each of the one or more designated colors on a sheet at a position corresponding to each of the one or more designated positions for the designated color. The apparatus performs color verification based on a colorimetry value on the sheet having the patch printed thereon at the position corresponding to each of the one or more designated positions and a target value for the designated color corresponding to the designated position. | 2022-01-13 |
20220012554 | IMAGE FORMATION CONTROL APPARATUS, IMAGE FORMATION CONTROL METHOD AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM STORING IMAGE FORMATION CONTROL PROGRAM - The image formation control apparatus controls an image forming device to execute image forming on an image forming medium based on input image data by using a plurality of color materials including a plurality of chromatic color materials. An image formation control apparatus comprising: a table generating unit to generate a visibility improvement color table by performing color conversion into intermediate image data, performing histogram equalization processing on a brightness gradation value representing brightness of an image represented by the intermediate image data, and adjusting the brightness gradation value representing brightness of the intermediate image data; and an image formation control unit to generate an image forming job for performing the color conversion using the generated color table to form an image on an image forming medium. | 2022-01-13 |
20220012555 | Method of Detecting A Concealed Pattern - A method for detecting a component including a concealed pattern includes: detecting infrared electromagnetic radiation reflected or emitted by a component including a first pattern, the component including: a substrate; the first pattern disposed over at least a portion of the substrate; an optional primer layer disposed between at least a portion of the substrate and at least a portion of the first pattern; and a first visibly opaque layer including an infrared transparent pigment, the first visibly opaque layer disposed over at least a portion of the first pattern; and comparing the reflectivity and/or absorbance of infrared electromagnetic radiation by the first pattern at one wavelength to the reflectivity and/or absorbance by the primer layer and/or the substrate at the same wavelength. | 2022-01-13 |
20220012556 | INTERNAL VOLTAGE GENERATOR AND SMART CARD INCLUDING THE SAME - An internal voltage generator of a smart card and a smart card including the same. The internal voltage generator may include: a mode detector that generates a mode signal indicating a contact mode or a contactless mode; a low-drop out (LDO) regulator including an error amplifier, where the LDO regulator is responsive to the mode signal to: in the contact mode, drive the error amplifier with a second driving voltage to generate an error voltage, and regulate the second driving voltage based on the error voltage to generate a first output voltage, and in the contactless mode, drive the error amplifier with the first driving voltage to generate the error voltage, and regulate the second driving voltage based on the error voltage to generate the first output voltage. | 2022-01-13 |
20220012557 | METHODS AND SYSTEMS FOR DISPLAYING HEALTH STATUS OF A PAYMENT CARD - Embodiments provide methods and systems for determining and displaying health status of a payment card. The payment card includes a planar body, an interconnection circuit, and a display section. The planar body houses a payment card processing section. The interconnection circuit is configured within the planar body. The interconnection circuit is configured to generate a damage signal in response to a physical damage of at least a portion of the planar body or the payment card processing section. The display section is positioned in the planar body for displaying a visual information indicating health status of the payment card in response to the damage signal for a cardholder. | 2022-01-13 |
20220012558 | Tire Tracking RFID Label - Identification labels and their incorporation in rubber-based articles are described. The labels include RFID components and can be incorporated in tires. The labels can withstand the relatively harsh conditions associated with vulcanization. | 2022-01-13 |
20220012559 | SYSTEM AND METHOD FOR ON-LINE ANALYSIS OF STRUCTURE OF DRIED SHREDDED TOBACCO - A system and a method for on-line analysis of a structure of dried shredded tobacco are provided. The system includes a shredded tobacco structure on-line analysis module, a shredded tobacco filling capacity prediction model module, and an early-warning module. The shredded tobacco structure on-line analysis module includes a sample extraction unit, a sample analysis unit and a shredded tobacco filling capacity data acquisition unit. The shredded tobacco filling capacity prediction model module includes a model parameter screening unit and a model construction unit. An early-warning threshold is provided in the early-warning module, and when a deviation of a predicted shredded tobacco filling capacity from a standard value exceeds the early-warning threshold, an alarm is given. The new system is an intelligent system with functions of shredded tobacco structure analysis, shredded tobacco filling capacity prediction, and abnormality early-warning determination and analysis. | 2022-01-13 |
20220012560 | METHOD AND DEVICE FOR CLASSIFYING SENSOR DATA AND FOR ASCERTAINING AN ACTIVATION SIGNAL FOR ACTIVATING AN ACTUATOR - A method for providing an activation signal for activating an actuator. The activation signal is ascertained as a function of an output signal of a neural network. The neural network includes a scaling layer. The scaling layer maps an input signal present at the input of the scaling layer onto an output signal present at the output of the scaling layer in such a way that this mapping corresponds to a projection of the input signal onto a predefinable value range, parameters being predefinable, which characterize the mapping. | 2022-01-13 |
20220012561 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM - An information processing apparatus includes: a processor in communication with a memory configured to store instructions that, when executed by the processor, cause the processor to set a label based on element information included in scene information for a scene, and determine, based on the set label, whether or not to store the scene information set with the label. | 2022-01-13 |
20220012562 | METHOD AND SYSTEM FOR QUERY TRAINING - The method for query training can include: determining a graphical representation, determining an inference network based on the graphical representation, determining a query distribution, sampling one or more train queries from the query distribution, and optionally determining a trained inference network by training the untrained inference network using the train query. The method can optionally include determining an inference query and determining an inference query result for the inference query using the trained inference network. | 2022-01-13 |
20220012563 | METHODS AND APPARATUS FOR HIGH THROUGHPUT COMPRESSION OF NEURAL NETWORK WEIGHTS - Methods, apparatus, systems, and articles of manufacture are disclosed for high throughput compression of neural network weights. An example apparatus includes at least one memory, instructions in the apparatus and processor circuitry to execute the instructions to determine sizes of data lanes in a partition of neural network weights, determine a slice size based on a size difference between a first data lane and a second data lane of the data lanes in the partition, the first data lane including first data, the second data lane including second data, the second data of a smaller size than the first data, cut a portion of the first data from the first data lane based on the slice size, and append the portion of the first data to the second data lane. | 2022-01-13 |
20220012564 | Resilient Neural Network - The present invention discloses a spiking neural network for classifying input signals. The spiking neural network comprises a plurality of spiking neurons, and a plurality of synaptic elements interconnecting the spiking neurons to form the network. Each synaptic element is adapted to receive a synaptic input signal and apply a weight to the synaptic input signal to generate a synaptic output signal, the synaptic elements being configurable to adjust the weight applied by each synaptic element. Furthermore, each of the spiking neurons is adapted to receive one or more of the synaptic output signals from one or more of the synaptic elements, and generate a spatio-temporal spike train output signal in response to the received one or more synaptic output signals. The spiking neural network is partitioned into multiple sub-networks, wherein each sub-network comprises a sub-set of the spiking neurons connected to receive synaptic output signals from a sub-set of the synaptic elements. The sub-network is adapted to generate a sub-network output pattern signal in response to a sub-network input pattern signal applied to the sub-network. Furthermore, each sub-network forms part of one or multiple cores in an array of cores, each core consisting of a programmable network of spiking neurons implemented in hardware or a combination of hardware and software. Communication between cores in the core array is arranged through a programmable interconnect structure. | 2022-01-13 |
20220012565 | DIVERSITY AWARE MEDIA CONTENT RECOMMENDATION - A reinforcement learning ranker can take into account previously-recommended media content items to produce a ranked list of media content items to recommend next. The ranker finds a policy that gives the probability of sampling a media content item given a state. The policy is learned such that it maximizes a reward. A reward function associated with the media content item can be defined with respect to whether the user finds the media content item relevant (likelihood that the user will like the media content item) and a diversity score of the media content item. | 2022-01-13 |
20220012566 | CONTROLLABLE FORMULA GENERATION - Techniques to mimic a target food item using artificial intelligence are disclosed. A formula generator learns from open source and proprietary databases of ingredients and recipes. The formula generator is trained using features of the ingredients and using recipes. Given a target food item, the formula generator determines a formula that matches the given target food item and a score for the formula. The formula generator may generate, based on user-provided control definitions, numerous formulas that match the given target food item and may select an optimal formula from the generated formulas based on score. | 2022-01-13 |
20220012567 | TRAINING NEURAL NETWORK CLASSIFIERS USING CLASSIFICATION METADATA FROM OTHER ML CLASSIFIERS - Techniques for training a neural network classifier using classification metadata from another, non-neural network (non-NN) classifier are provided. In one set of embodiments, a computer system can train the non-NN classifier using a training data set, where the training results in a trained version of the non-NN network classifier. The computer system can further classify a data instance in the plurality of data instances using the trained non-NN classifier, the classifying generating a first class distribution for the data instance, and provide the data instance's feature set as input to a neural network classifier, the providing causing the neural network classifier to generate a second class distribution for the data instance. The computer system can then compute a loss value indicating a degree of divergence between the first and second class distributions and provide the loss value as feedback to the neural network classifier, which can cause the neural network classifier to adjust one or more internal edge weights in an manner that reduces the degree of divergence. | 2022-01-13 |
20220012568 | IMAGE GENERATION USING ONE OR MORE NEURAL NETWORKS - Apparatuses, systems, and techniques are presented to generate image or video content. In at least one embodiment, one or more neural networks are used to add one or more first objects to an image including one or more second objects, wherein one or more poses of the one or more first objects in the image is determined with respect to the one or more second objects. | 2022-01-13 |