Abstract: Methods and systems are presented for automatically detecting positions of various webpage elements within a webpage when the webpage is rendered, based on analyzing the programming code of the webpage. A position detection system obtains and parses the programming code of the webpage to identify webpage elements within the webpage. A group of related webpage elements is identified based on a shared programming structure. The position detection system generates a DOM tree based on the programming code, and determines relative positions of the webpage elements within the group by traversing the DOM tree using a breadth-first search algorithm.

Abstract: A computer-implemented method includes determining a set of identigens for each word of patent claim elements to produce sets of identigens and interpreting pairs of adjacent identigens of adjacent sets of identigens to determine a most likely meaning of the claim elements and produce a claim entigen group. The method further includes determining a level of match between the claim entigen group and a comparison matter entigen group. When the level of match between the claim entigen group and the comparison matter entigen group is greater than a threshold level, the method further includes indicating potential utilization of the claim by the comparison matter or potential prior art status of the comparison matter.

Abstract: The present invention relates to a patent document creating device, method, computer program, computer-readable recording medium, server and system.

Abstract: Systems and methods are presented herein for providing a user with a notification or with access to live media on an audio/visual user entertainment system based on a user's conditional request for media content. The user may provide the condition of the request by speaking or by entering the condition of the request into an interactive interface. An identification application analyzes the elements of the user's request and generates a question. The application finds a live media stream with identifiers related to the elements and posts the generated question to a live chat forum associated with the live media stream. The application analyzes posts on the forum made by other users to determine if the condition of the user's request is met. When the application determines a post confirms the condition is met, the application generates a notification and provides the user access to the live media stream.

Abstract: A system and method that automatically analyzes the description of an idea as provided by a user and then locates one or more relevant prior art references.

Abstract: Unicode data can be protected in a distributed tokenization environment. Data to be tokenized can be accessed or received by a security server, which instantiates a number of tokenization pipelines for parallel tokenization of the data. Unicode token tables are accessed by the security server, and each tokenization pipeline uses the accessed token tables to tokenization a portion of the data. Each tokenization pipeline performs a set of encoding or tokenization operations in parallel and based at least in part on a value received from another tokenization pipeline. The outputs of the tokenization pipelines are combined, producing tokenized data, which can be provided to a remote computing system for storage or processing.

Abstract: Electronic records are accessed from computer storage for a given subject, wherein the electronic records include natural language notes about the subject. Tokens are identified in the natural language notes. For each token, a corresponding intensity score is generated representing an intensity of match between the token and a particular dimension, wherein the intensity scores are each values on a first scale, wherein each dimension is one of a plurality of dimensions of a category out of a plurality of categories; generating rescaled-intensity scores from the intensity scores by rescaling the intensity scores from the first scale to a second scale different from the first scale. For each dimension of each category, a dimension-score is compiled based on the intensity scores; and categorizing the subject into at least one category based on the dimension scores. The subject is categorized into at least one category based on the dimension scores.

Abstract: A method of training a model, an electronic device, and a storage medium are provided, which relate to a field of artificial intelligence, and in particular to a field of reinforcement learning, NLP, etc. The method includes: acquiring a dialogue information; obtaining a predicted information based on the dialogue information by using a first intention recognition model, a first recurrent neural network and a first named entity recognition model; obtaining a machine behavior information based on the predicted information by using a first behavior decision model; acquiring a feedback information for the machine behavior; storing at least one of the predicted information, the machine behavior information, or the feedback information as training data in a database; and performing a model optimization training online based on the training data by using a reinforcement learning algorithm, in response to an amount of the training data reaching a preset data amount.

Abstract: The present disclosure provides, among other things, methods and systems of managing communications, the methods and systems including: receiving a first group communication from a first group; determining, based on the first group communication, a first group sentiment; receiving a first communication with a request to send the first communication to the first group; determining, based on the first communication, a first communication sentiment; comparing the first group sentiment with the first communication sentiment; and based on the comparing, performing an action on the request to send the first communication.

Abstract: A labeling function associated with generating one or more semantic concepts is received. The received labeling function is used to automatically annotate an existing dataset with the one or more semantic concepts to generate an annotated noisy dataset. A reference dataset annotated with the one or more semantic concepts is received. A training dataset is prepared including by combining at least a portion of the reference dataset with at least a portion of the annotated noisy dataset. The training dataset is used to train a multi-task machine learning model configured to perform both a decision task to predict a decision result and an explanation task to predict a plurality of semantic concepts for explainability associated with the decision task.

Abstract: Systems, devices, and methods discussed herein provide improved autonomous agent applications that are configured to generate a diagnosis for input symptoms from labels (e.g., diseases, illnesses, and/or conditions) associated with previously-known cases. Extended discourse trees may be generated that identify multiple discourse trees corresponding to various fragment granularities (e.g., document, paragraph, sentence, phrase, word, etc.) of previously-known cases as well as rhetorical relations between those discourse trees. New symptoms can be provided (e.g., via the autonomous agent) as input. The input can be parsed to identify various fragments of the input and rhetorical relations between the fragments. These fragments can be matched to fragments of previously-known cases by matching nodes of the extended discourse tree.

Abstract: A computer: acquires, from a compression dictionary that associates each of codes having a length according to a frequency of appearance of a set of a word and a word meaning of the word with that set, the set of any word and that word meaning, and one of the codes associated with the set of the any word and that word meaning; selects, from among a plurality of fixed-length codes stored in the memory with a same length in association with the set of the word and that word meaning, one of the fixed-length codes associated with the set of the any word and that word meaning; generates a conversion dictionary that associates the selected one of the fixed-length codes with the acquired one of the codes; and specifies, by the conversion dictionary, the individual fixed-length codes associated with each of the codes contained in compressed data.

Abstract: An utterance analysis device including; a calculator that receives utterance data in order of time series and analyzes a change in the utterances by using a plurality of first likelihoods, which are each values for identifying a possibility that the utterance data corresponds to each category; and a display processor that displays visualization data visualizing the change in the utterances which is obtained by the calculator. The calculator determines a second likelihood for each category by integrating the first likelihoods of a plurality of pieces of utterance data in a second period which is shorter than the first period. The visualization data displayed by the display processor represents a change in the utterances based on a change in the second likelihood of each category in a plurality of different second periods.

Abstract: Systems and method are provided for selecting product corpus data. Natural language processing may be used to cluster and filter the dataset for valid descriptions of the product having a predetermined sentence length and normal natural language structure. A transformer based a multi-modal conditioned natural language generator may be instantiated based on the clustered and filtered dataset. The instantiated multi-modal conditioned natural language generator may be trained. An evaluation of an output of the multi-modal conditioned natural language generator may be performed. A product description may be generated based on the trained multi-modal conditioned natural language generator, and the product description may be output for an electronic product catalog.

Abstract: A printed graphical code has H lines and a W columns i (i=1, . . . W) and a pattern of H×W cells, each at the intersection of a column and a line. Each cell or dot is formed with a drop from a printhead of a continuous inkjet printer and two successive dots of a column are separated by at least one non printed cell. A method for printing each column comprises: retrieving or selecting charges to be applied to each drop for printing the dots of the column from a set of data or database of charges for each of a number of configurations of drops to be printed, the number being equal to or less than 2(H/2)+1 if H is an even number or equal to or less than 2((H+1)/2)+1 if H is an odd number; charging the drops for printing according to the retrieved charges; and printing the column.

Abstract: A card reader for reading a bank card and a method of use thereof is disclosed. The card reader housing has a card entry slot where a customer inserts a bank card, either a magnetic stripe card or a chip-based smart card. A camera is mounted adjacent to the card entry slot in a position to allow an image to be taken of an upper surface of a bank card inserted into the card entry slot. A chip reader unit reads the chip-based smart card. A controller is coupled to the camera and to the chip reader unit. The controller processes an image received from the camera to determine that the inserted bank card is a chip-based smart card in a proper orientation. The controller enables the chip reader unit upon determining that the inserted bank card is a chip-based smart card in proper orientation.

Abstract: An object recognition system is disclosed. The object recognition system includes an input device configured to obtain image data and a Radio Frequency Identification (RFID) data of an object, a processing device connected to the input device, and configured to perform a model training procedure, wherein the model training procedure includes capturing an object feature according to the image data, generating a classification data corresponding to the object according to the object feature, verifying a correctness of the classification data according to the RFID data, and generating a deep learning model according to the verified classification data, to regenerate the classification data, and an output device connected to the processing device, and configured to generate an object recognition data corresponding to the object according to the classification data generated by the deep learning model and the RFID data.

Abstract: A bearing component is an annular member with a two-dimensional code which has a shape with a maximum circumferential dimension longer than a maximum radial dimension or a maximum axial dimension. An individual identification method for the bearing component includes the steps of imaging while rotating the bearing component, detecting a line pattern of the two-dimensional code from a captured image, recognizing the two-dimensional code based on an extension direction of the line pattern, extracting corresponding registration information by referring to a database based on information of the two-dimensional code, and identifying the bearing component according to the extracted registration information.

Abstract: A method for estimating extracorporeal blood volume in at least a portion of a physical sample. A feature is extracted from an image of the physical sample. The extracorporeal blood volume in the portion of the physical sample is estimated. The estimation may be based on the extracted feature and at least one of the estimated distance and the estimated angle between a capture origin of the image and the portion of the physical sample based on a returned signal transmitted from a distance sensor. The estimated extracorporeal blood volume may be displayed on a display, such an augmented reality overlay in which the image of the portion of the physical sample is displayed with at least one of the estimated extracorporeal blood volume or a sample counter. The sample counter may be indexed for the physical sample after estimating the extracorporeal blood volume.

Abstract: Provided are a display panel and a display apparatus. The display panel includes a back panel, and a fingerprint identification unit, a specular reflection film layer and a touch unit which are disposed on the back panel, wherein the fingerprint identification unit includes a fingerprint identification electrode layer, the touch unit includes a touch electrode layer; and the fingerprint identification electrode layer, the specular reflection film layer and the touch electrode layer are disposed in a same layer.

Abstract: The invention provides a fingerprint sensing device, which includes a display panel, a light sensor array, an optical path structure, a first pixelated polarizer array and a second pixelated polarizer array. The light sensor array includes a light sensor. The optical path structure is disposed between the display panel and the light sensor array. The first pixelated polarizer array is disposed on the optical path structure and includes a first pixelated polarizer. The second pixelated polarizer array is disposed on the display panel and includes a second pixelated polarizer. The first pixelated polarizer, the second pixelated polarizer and the light sensor overlap in a vertical projection direction, and a polarization direction of the first pixelated polarizer is the same as that of the second pixelated polarizer.

Abstract: A method for fingerprint image recognition according to an embodiment includes ranking a plurality of target feature points acquired from a target fingerprint image according to a feature point attribute, comparing the ranked plurality of target feature points with a plurality of reference feature points in a reference fingerprint image to form an entropy map, and determining whether the target fingerprint image matches the reference fingerprint image according to the entropy map, wherein the entropy map indicates similarity between the target fingerprint image and the reference fingerprint image. The solution of the present disclosure makes full use of the acquired image information of the target fingerprint image for fingerprint recognition, thereby significantly improving the accuracy and effectiveness of fingerprint recognition.

Abstract: A synthesizing apparatus comprises: an input part that inputs a plurality of feature point sets that are respectively extracted by a plurality of methods from an input image having a curved stripes pattern formed by ridges; and a synthesizing part that synthesizes the plurality of feature point sets by executing a logical operation on the plurality of feature point sets. The synthesizing part can execute a logical OR operation on the plurality of feature point sets. The synthesizing part can also execute a logical AND operation on the plurality of feature point sets.

Abstract: Techniques are described for passive three-dimensional (3D) image sensing based on chromatic differentiation for use in object verification. For example, multiple sub-images correspond to 3D feature regions of an object. The sub-images can be analyzed to obtain respective sets of feature depth measurements (e.g., depth, textural signatures, etc.) based on multiple differentiated chromatic components of raw image sensor data captured from the object. A verification signal can be output as a function of comparing the respective sets of feature depth measurements from the plurality of characteristic sub-images to previously stored feature depth expectations, such that the verification signal indicates whether an identity of the object is verified and/or whether the object is a spoof.

Abstract: Methods and systems for implementing an object identification system equipped to reduce the number of service calls for remote object identification lookups are disclosed. The object identification management server works to reduce the number of object identification requests, which overall improves the process of quickly and accurately providing object identifications when needed and without unnecessarily wasting computing resources. The object identification server can subsequently manage the number of identification requests by setting a tunable threshold, which allows a system to operate more efficiently and allocate computing resources accordingly.

Abstract: Embodiments are disclosed for training an image caption generator model to generate phrase tags for input images. The phrase tags can include short phrases that describe the contents of the images (e.g., objects depicted therein). Once trained, the image caption generator model can be used as an image phrase tagger to tag input images from an image library with phrase tags. The image library can be indexed based on their phrase tags. Subsequently, when the image library is queried, the query can be divided into phrases and the index can be used to identify matching images.

Abstract: A vehicle includes: an iris sensor configured to recognize an iris of a driver and obtain iris data; an infrared camera configured to recognize a face of the driver, obtain face data, and detect an obstructive element covering at least a portion of the iris from the face of the driver; and a controller configured to perform iris authentication based on the iris data and control a lighting apparatus to change brightness of lighting in the vehicle in response to the obstructive element being detected.

Abstract: A method is provided for indoor multipath ghosts recognition for a multiple-input-multiple-output radar with collocated antennas. The method includes the step of generating a two-dimensional Range-Doppler map for N number of consecutive radar data frames. The method further includes the step of applying a temporal clustering algorithm to the N number of consecutive radar data frames. Moreover, the method includes the step of applying a linear pattern extraction algorithm on the two-dimensional Range-Doppler map. In this context, the two-dimensional Range-Doppler map comprises detections from at least one target, at least one first-order ghost, and at least one second-order ghost with respect to one wall reflector.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: Methods and systems are provided for facilitating large-scale augmented reality in relation to outdoor scenes using estimated camera pose information. In particular, camera pose information for an image can be estimated by matching the image to a rendered ground-truth terrain model with known camera pose information. To match images with such renders, data driven cross-domain feature embedding can be learned using a neural network. Cross-domain feature descriptors can be used for efficient and accurate feature matching between the image and the terrain model renders. This feature matching allows images to be localized in relation to the terrain model, which has known camera pose information. This known camera pose information can then be used to estimate camera pose information in relation to the image.

Abstract: The disclosed computer-implemented method may include identifying, via an artificial reality system, a plurality of physical objects in a real-world environment of a user and defining, based on identifying the plurality of objects, an object-manipulation objective for manipulating at least one of the plurality of objects. The method may also include determining an action sequence that defines a sequence of action steps for manipulating the at least one of the plurality of objects to complete the object-manipulation objective, and presenting, via the artificial reality system, a notification to the user indicative of the action sequence. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A communication system includes circuitry. The circuitry receives an input of language information. The circuitry performs recognition on the input language information. The circuitry displays one or more images corresponding to the input language information on a display, based on a result of the recognition.

Abstract: An apparatus includes a memory and processor. The memory stores a set of object categories and a set of motion categories. The processor splits a video into an ordered series of frames. For each frame, the processor determines that the frame includes an image of an object of a given object category. The processor assigns the given object category to the frame and stores the assigned object category in an ordered series of object category assignments. The processor determines, based on a subset of the ordered series of object category assignments, that the video used to generate the ordered series of object category assignments depicts a motion of a given motion category. The processor assigns the given motion category to the video.

Abstract: Systems and methods for video analytic processing with neuro-symbolic artificial intelligence are provided. These systems and methods include detecting and extracting one or more objects from one or more video frames, and identifying the attributes associated with each of the one or more objects. These further include extracting context from a question, and compiling a series of inquiries to identify the information needed to answer the question and identify missing information. These further include storing intermediate information about the extracted objects and identified attributes, and determining whether the question requires further modeling of data to obtain missing information. These further include mining the one or more video frames for missing information, and compiling the intermediate information from the data storage and missing information based on the context of the question to produce a final answer.

Abstract: A vision system includes a camera viewing at least part of a swing path of a swing, the camera capturing image data. An electronic control unit (ECU) includes an image processor for processing image data captured by the camera to detect presence of objects in the field of view of the camera. The system, responsive to processing by the image processor of image data captured by the camera, and with the swing having an occupant swinging along a swing path of the swing, detects presence of an object that has a potential to collide with the occupant of the swing. The system, responsive to detecting the presence of the object that has the potential to collide with the occupant of the swing, generates an alert and/or engages an arrester to slow the swing as the swing travels along the swing path.

Abstract: A system may be configured to perform enhanced detection of occluded objects in a multiple object detection system. In some aspects, the system may determine a first size of a queue captured in a video frame based on an object detection system and a video capture device, and determine a second size of the queue based on the first size of the queue and a correction model. Further, the system may detect a person at a front of the queue based on an object tracking system, determine a first period of time spent by the person at the front of the queue based on an object tracking system, and estimate a second period of time spent in the queue based at least in part on the first period of time and the second size of the queue.

Abstract: Methods, systems, and media for simulating movement data of pedestrians in a district are provided.

Abstract: A distributed monitoring and analytics system is configured to automatically monitor conditions in a remote oil field. The distributed monitoring and analytics system generally includes one or more mobile monitoring units that each includes a vehicle, a sensor package within the vehicle that is configured to produce one or more sensor outputs as the mobile monitoring unit traverses the remote oil field, and an onboard computer configured to process the output from the sensor package. The sensor package can include any number of sensors, including a camera that outputs a video signal for computer vision analysis and a gas detector that outputs a gas detection signal based on the detection of fugitive gas emissions within the remote oil field.

Abstract: A vehicular vision system includes a camera disposed at and viewing exterior and rearward of a vehicle. The system, as the vehicle is driven forward along a traffic lane of a road, and responsive to processing of image data captured by the camera, determines a traffic lane marker rearward of the vehicle. The system, responsive to determining the traffic lane marker, determines a position of the vehicle within the traffic lane the vehicle is moving along. The system, responsive to determining the position of the vehicle within the traffic lane is within a threshold distance of a side of the traffic lane, alerts an occupant of the vehicle.

Abstract: Systems and methods are provided for developing/updating training datasets for traffic light detection/perception models. V2I-based information may indicate a particular traffic light state/state of transition. This information can be compared to a traffic light perception prediction. When the prediction is inconsistent with the V2I-based information, data regarding the condition(s)/traffic light(s)/etc. can be saved and uploaded to a training database to update/refine the training dataset(s) maintained therein. In this way, an existing traffic light perception model can be updated/improved and/or a better traffic light perception model can be developed.

Abstract: A control device includes a control unit configured to: acquire a first image, a second image and report information, the first image being an image resulting from photographing a vehicle before a user gets in the vehicle, the second image being an image resulting from photographing the vehicle after the user gets out of the vehicle, the report information being relevant to a change in a state of the vehicle and being reported by the user; detect the change in the state of the vehicle based on the first image and the second image; and evaluate the user based on the detected change and the report information.

Abstract: Disclosed herein are apparatuses and methods for auto-configuring a region of interest (ROI) associated with a camera. In one implementation, a method comprises receiving image frames from a camera installed in the environment, wherein the ROI is located within the view of the image frames. The method includes tracking a plurality of persons in the image frames and determining a respective trajectory of movement for each person of the plurality of persons. The method further includes comparing each of the respective trajectories to one another and identifying, based on the comparing, a common trajectory shared by more than one person of the plurality of persons, wherein the common trajectory is not fully encompassed in the ROI. The method additionally includes updating the ROI to encompass the common trajectory, and includes configuring the updated ROI to be associated with new image frames from the camera.

Abstract: The described technology is generally directed towards comparing two images for content differences, such as images based on the frames of a show and a derivative version of that show. Frame pairs such as from an original show and its derivative version are processed into image pairs, which can include decoding, scaling, luminance extraction and/or filtering. An edge pixel image is obtained via edge detection for each image. Edge pixels in one image are compared against a counterpart edge pixel (and possibly neighboring pixels) in the other image to determine matches (matching edge pixels) and mismatches. An image with too many errors based on the mismatches is deemed as a candidate for further review. A difference image can be generated to assist a reviewer in detecting where the mismatches were detected. By repeating for the various frames, a show can be automatically compared against its derivative for content differences.

Abstract: A system and method for object classification and related applications based on frame and event camera processing is provided. The system acquires an output of image sensor circuitry and determines a first object classification result based on feature points associated with first objects in a first frame of the acquired output. The system executes an event-camera signal processing operation on at least two frames of the acquired output to generate an event frame. The generated event frame includes pixel-level movement information associated with second objects. The system determines a second object classification result based on the pixel-level movement information and determines one or more object classification tags based on the determined first and the determined second object classification result. The determined one or more object classification tags correspond to one or more objects, included in at least the first objects and the second objects.

Abstract: A method for real-time cross-spectral object association and depth estimation is presented. The method includes synthesizing, by a cross-spectral generative adversarial network (CS-GAN), visual images from different data streams obtained from a plurality of different types of sensors, applying a feature-preserving loss function resulting in real-time pairing of corresponding cross-spectral objects, and applying dual bottleneck residual layers with skip connections to accelerate real-time inference and to accelerate convergence during model training.

Abstract: In example implementations described herein, person images obtained by object detection and tracking are stored in an image database. Then the system automatically samples a person image as a query of image search for past images. Filtering is performed on the search results to extract a person images having a similarity higher than certain threshold. Travel time is calculated by sorting information (camera identifier, time) attached to person images on a timeline, and the system detects gap between periods that the person appears in frame.

Abstract: Examples of devices are described herein. In some examples, a device may include a first image sensor to capture images of a fixed pattern that is in a static position relative to a structure. In some examples, the device may fly above the fixed pattern. In some examples, the device may include a measurement device to measure a distance from the device to the structure. In some examples, the distance may indicate a structural measurement relative to the fixed pattern and an offset between the first image sensor and the measurement device.

Abstract: An image recognition method, including: obtaining an image to be recognized by an image sensor; inputting the image to be recognized to a single convolutional neural network; obtaining a first feature map of a first detection task and a second feature map of a second detection task according to an output result of the single convolutional neural network, wherein the first feature map and the second feature map have a shared feature; using an end-layer network module to generate a first recognition result corresponding to the first detection task from the image to be recognized according to the first feature map, and to generate a second recognition result corresponding to the second detection task from the image to be recognized according to the second feature map; and outputting the first recognition result corresponding to the first detection task and the second recognition result corresponding to the second detection task.

Abstract: Systems and methods for predicting yearly performance improvement rates for nearly all definable technologies for the first time are provided. In one embodiment, a correspondence of all patents within the U.S. patent system to a set of technology domains is created. From the identified patent sets, the invention may calculate average centrality of the patents in each domain to predict improvement rates, following a patent network-based methodology. Also disclosed is a system to intake a user technology search query and match user intent with the technology domain as well as the corresponding improvement rate.

Abstract: Systems, methods, and software described herein manage descriptive attributes associated with objects in video data. In one example, a video processing service obtains video data and identifies an object of interest in the video data. The video processing service further identifies attributes for the object of interest from the video data based on the attributes satisfying uniqueness requirements to differentiate the object of interest from other objects. Once the attributes are identified, the attributes may be stored in a storage system to be compared against other objects in second video data.