Abstract: A method, non-transitory computer readable medium, and computing apparatus that identifies with automated image analysis two or more different types of content in image data for an electronic image associated with one or more of a plurality of types of claims. The image data associated with each of the identified two or more different types of content is converted by a different one of a plurality of automated content conversion techniques based on the association with the one or more types of claims and on the identified one of the plurality of types of content. Modified image data for the electronic image is generated based on the converted image data associated with each of the identified two or more different types of content. The modified image data for the electronic image with the converted image data for each of the identified two or more different types of content is provided.

Abstract: Described herein are systems, methods, storage media, and computer programs that support data flow scheduling between processors. In one embodiment, a processor for processing data is disclosed. The processor comprises a flow classifier and a first set of circuits. The flow classifier is configured to assign a flow identifier to a data flow. The first set of circuits is configured to process a plurality of data blocks of the data flow and determine whether to provide information on the processing of the plurality of data blocks to another processor based on the flow identifier.

Abstract: A route guidance apparatus and method are provided. The route guidance apparatus includes an image acquisition unit that collects image data of an area in front of a vehicle using a camera and a driver view recognition unit that calculates the range of a driver viewing angle by detecting a driver eye height driver a driver's gaze direction. An image processing unit extracts a region of interest corresponding to the range of the driver viewing angle from the image data and generates a route guidance image by overlaying a direction indicator corresponding to a driving route on the region of interest. A display unit outputs the route guidance image.

Abstract: Systems and processes can reduce or divide images of road networks into sub-images that depict straight or substantially straight sections of roads in the road networks. These sub-images or image segments can be normalized by, for example, rotating each of the sub-images such that the depicted roads are horizontal or otherwise share the same angle. By aligning disparate images of roads, it is possible to both reduce the amount of training data used to generate a machine learning model and to increase the accuracy of an automated lane marking or labelling system. Further, the use of normalized images by the machine learning model enables a reduction in computing resources used to perform automated lane marking processes while maintaining or improving accuracy of the lane marking processes.

Abstract: Disclosed is a system and method of providing enhanced content to a PSAP or other service center whereby when a 911 call is to be initiated, prior to the call or text communication being sent, the software application on the device contacts the cloud-based dynamic page service. The cloud-based dynamic page service receives event information, dynamically creates a page for the event along with a page identifier, and sends the page identifier to the software application of the initiating device. Then, the software application on the device initiates a 911 communication and includes the page identifier with the communication. In some cases, the page identifier may be sent as a separate communication.

Abstract: An apparatus is provided that includes a processor and a memory storing executable instructions that in response to execution by the processor cause the apparatus to at least perform a number of operations. The apparatus is caused to receive time information over a packet-switched computer network, with the time information including a current standard time, time-zone offset and timestamps that define a predetermined timeframe. The apparatus is caused to calculate a current local time from the current standard time and time-zone offset, and including an adjustment of the current local time in instances in which the timestamps indicate that the current standard time is within the predetermined timeframe. And the apparatus is caused to cause a clock to be set to the current local time.

Abstract: According to various aspects, an obstacle map generator is provided, including: one or more processors configured to receive one or more depth images from a depth imaging system, determine, for each depth image of the one or more received depth images, a first set of pixels and a second set of pixels, each pixel of the first set of pixels has a depth value assigned thereto and each pixel of the second set of pixels has no depth value assigned thereto or has a depth value outside a predefined depth value range assigned thereto, assign a pre-defined depth value to one or more pixels of the second set of pixels, and generate an obstacle map based on the determined first set of pixels and the one or more pixels of the second set of pixels having the pre-defined depth value assigned thereto.

Abstract: An electronic device includes a display, wherein the display is configured to present a user interface, wherein the user interface comprises a coordinate system. The coordinate system corresponds to physical coordinates. The display is configured to present a sector selection feature that allows selection of at least one sector of the coordinate system. The at least one sector corresponds to captured audio from multiple microphones. The sector selection may also include an audio signal indicator. The electronic device includes operation circuitry coupled to the display. The operation circuitry is configured to perform an audio operation on the captured audio corresponding to the audio signal indicator based on the sector selection.

Abstract: A transport service system automatically associates road sign information with road segments based on image data including a representation of the road sign. The transport service system receives image data from one or more camera systems. Based on the image data, the transport service system determines a distance score and an orientation score for one or more candidate road segments. The transport service system additionally determines whether the image data is anomalous. Based on the determined distance and orientation scores, the transport service system generates a composite score and a confidence score for each candidate road segment. The confidence score is adjusted based on whether the image data is anomalous. Based on the generated scores, the transport service system identifies a most likely candidate road segment for association with the road sign.

Abstract: The present invention relates to the field of electronic photographing technologies, and provides a method, a control apparatus and a system for tracking and shooting a target. The method includes: in a tracking and shooting process, controlling, by a control apparatus, a photographing apparatus on an unmanned aerial vehicle to collect an image, and obtaining the collected image; selecting a tracked target in the image; calculating a movement speed, a movement direction and a location on the current image that are of the tracked target according to comparison between consecutive neighboring frame images; and controlling, according to the calculated movement speed, movement direction and location on the current image, the unmanned aerial vehicle to track the tracked target, so that the tracked target is always located on the image collected by the photographing apparatus.

Abstract: A feature extraction system extracts map features from an aerial image. The feature extraction system receives an aerial image having pixels and predicts, for each pixel, a probability that the pixel corresponds to a map feature based on a machine learning model. The machine learning model is trained to determine a probability that a pixel corresponds to the map feature based on a training dataset comprising pairs of aerial images and corresponding mask images that describe known instances of the map feature. The feature extraction system identifies a subset of pixels of the plurality of pixels. Each pixel in the subset has a predicted probability that is greater than or equal to a threshold probability that a pixel corresponds to the map feature. The feature extraction system further determines a bounded geometry enclosing the identified subset of pixels, the bounding geometry encompassing an instance of the map feature.

Abstract: The disclosed embodiments relate to a material handling method that generates three-dimensional (3-D) point cloud data based on a field-of-view of an image capturing unit. A first set of cluster areas are extracted from a plurality of cluster areas based on orientation data of the 3-D point cloud data. Further, a two-dimensional depth map is generated based upon the 3-D point cloud data. A candidate region that corresponds to a cluster area from the first set of cluster areas is determined. A ratio of a cross-sectional area of the cluster area and a cross-sectional area of the container is determined that exceeds a first cross-sectional threshold. Accordingly, a classification score of the candidate region is determined when the determined ratio exceeds a first cross-sectional threshold. In response to classifying the candidate region as a region-of-interest, a navigation path in the container that prevents collision with the region-of-interest is defined.

Abstract: Provided are methods, systems, and devices for generating annotations in images that can include receiving image data including images associated with locations. The images can include key images comprising one or more key annotations located at one or more key annotation locations in the one or more key images. At least one image and a pair of the key images that satisfies one or more annotation criteria can be selected based in part on one or more spatial relationships of the plurality of locations associated with the images. An annotation location for an annotation in the image can be determined based in part on the one or more key annotation locations of the one or more key annotations in the pair of the key images that satisfies the one or more annotation criteria. An annotation can be generated at the annotation location of the image.

Abstract: Systems, methods, and devices for providing hour-of-service (“HOS”) calculations via a web based host server instead of on an onboard mobile device. In the various embodiments, an onboard vehicle recording device and driver-carried mobile devices may operate independently. The onboard vehicle recording device and driver-carried mobile device(s) may exchange information independently with a host server rather than exchanging information together onboard the vehicle.

Abstract: Embodiments are provided that include receiving sensor data from a sensor positioned at a plurality of positions in an environment. The environment includes a plurality of landmarks. The embodiments also include determining, based on the sensor data, a subset of the plurality of landmarks detected at each of the plurality of positions. The embodiments further include determining, based on the subset of the plurality of landmarks detected at each of the plurality of positions, a detection frequency of each landmark. The embodiments additionally include determining, based on the determined detection frequency of each landmark, a localization viability metric associated with each landmark. The embodiments still further include providing for display, via a user interface, a map of the environment. The map includes an indication of the localization viability metric associated with each landmark.

Abstract: The invention relates to a system (51) for improving the spatial resolution of sensor data. The system comprises at least one receiver (53) and at least one processor (55). The at least one receiver (53) is configured to receive a sensor data set and a map. Each element of the sensor data set comprises a sensor footprint identifier allowing a sensor footprint to be identified and a brightness temperature measured for the sensor footprint. The map defines for each of a plurality of geographical areas whether it belongs to one of the first class and the second class. The first class represents a land type and the second class represents a water type. The geographical area is smaller than the sensor footprint.

Abstract: A system for detecting clouds and cloud shadows is described. In one approach, clouds and cloud shadows within a remote sensing image are detected through a three step process. In the first stage a high-precision low-recall classifier is used to identify cloud seed pixels within the image. In the second stage, a low-precision high-recall classifier is used to identify potential cloud pixels within the image. Additionally, in the second stage, the cloud seed pixels are grown into the potential cloud pixels to identify clusters of pixels which have a high likelihood of representing clouds. In the third stage, a geometric technique is used to determine pixels which likely represent shadows cast by the clouds identified in the second stage. The clouds identified in the second stage and the shadows identified in the third stage are then exported as a cloud mask and shadow mask of the remote sensing image.

Abstract: Architecture that enables the preservation of label readability in a scene (e.g., map, map tiles, graphical background, etc.) by way of label orientation relative to a fixed heading on a plane or curved surface. After identifying an initial fixed heading, movement of the camera (e.g., zoom-in, zoom-out, position change, etc.) in the scene along that heading without changing the camera heading as measured relative to a fixed point does not alter label orientation. In a mapping implementation, after identifying an initial fixed camera heading over terrain of the Earth, movement of the camera (e.g., zoom-in, zoom-out, position change, etc.) in the scene without changing the camera heading as measured relative to some fixed point does not change label orientation. The orientation of labels may be changed if the heading of the camera is altered, but this change is delayed until camera movement quiesces.

Abstract: An image collation device includes: a tentative matching point extraction unit configured to extract a plurality of tentative matching points that are pairs of corresponding feature points between a pair of input images; and a spatial verification unit configured to evaluate a degree of similarity between the pair of input images on the basis of all of a limiting conditions regarding consistency of a scale factor, a limiting conditions regarding consistency of a rotational angle, and a limiting conditions regarding consistency of a relative positional relationship according to a comparison of or a difference between geometric transformation parameters of the tentative matching points for each of the pairs of tentative matching points that is a combination of the tentative matching points extracted by the tentative matching point extraction unit.

Abstract: A method for estimating a pose of a first object in relation to a second object, the second object comprising a visual marker comprising a plurality of ellipses comprises capturing a video image of the visual marker with an image capture device on the first object, then pre-processing frames of the video image on a graphics processing unit. The method comprises detecting the visual marker by finding contours in the frames to identify the plurality of ellipses and determining that a pattern of the plurality of ellipses match a known pattern of the visual marker. Then the method comprises obtaining coordinates of two or more of the plurality of ellipses of the visual marker, estimating the pose of the first object in relation to the second object by inputting the coordinates of the plurality of ellipses into a pose estimation algorithm, and filtering results of the pose estimation algorithm.

Abstract: A system for object recognition and segmentation from digital images provides an intelligent object recognition and segmentation using one or more multilayer convolutional neural network (CNN) models trained in multiple-stages and in a parallel and distributed manner to improve training speed and efficiency. The training dataset used in each of the multiple training stages for the CNN models are generated, expanded, self-validated from a preceding stage. The trained final CNN models are augmented with post-model filters to enhance prediction accuracy by removing false positive object recognition and segmentation. The system provides improved accuracy to predict object labels to append to unlabeled image blocks in digital images. In one embodiment, the system may be useful for enhancing a digital landmark registry by appending identifying labels on new infrastructure improvements recognized in aerial or satellite land images.

Abstract: A method for sparse optical flow based tracking in a computer vision system is provided that includes detecting feature points in a frame captured by a monocular camera in the computer vision system to generate a plurality of detected feature points, generating a binary image indicating locations of the detected feature points with a bit value of one, wherein all other locations in the binary image have a bit value of zero, generating another binary image indicating neighborhoods of currently tracked points, wherein locations of the neighborhoods in the binary image have a bit value of zero and all other locations in the binary image have a bit value of one, and performing a binary AND of the two binary images to generate another binary image, wherein locations in the binary image having a bit value of one indicate new feature points detected in the frame.

Abstract: A musical score image analyzer includes a processor and a memory having stored thereon instructions executable by the processor to cause the musical score image analyzer to perform: detecting musical symbols in a musical score image obtained by capturing a musical score having a plurality of staffs arranged in parallel to each other and the musical symbols respectively disposed in prescribed positions in the staffs; specifying a symbol column having the detected musical symbols which are arranged in a column; calculating an index relating an image capturing based on the symbol column; and instructing a capturing device to perform capturing operation of a still image for the musical score image when the index satisfies a prescribed condition.

Abstract: Systems and methods that facilitate data center infrastructure management are discussed. One such system can include a plurality of data center infrastructure management (DCIM) tools. Each DCIM tool can maintain data associated with one or more data centers. Such a system can also include a data aggregation component that can extract the maintained data from at least two of the plurality of DCIM tools and can transform the extracted data into a common format. Such a system can also include an aggregated database that stores the extracted data, and can include a user interface that can provide for simultaneous access to the plurality of DCIM tools.

Abstract: A monitor system includes at least one three-dimensional camera circuit and a controller. Each of the at least one three-dimensional camera circuit is used for capturing a plurality of images including an object, and generating a depth map corresponding to the object according to the plurality of images. The controller is used for determining a plurality of feature points corresponding to the object according to the plurality of images or depth map, determining relative coordinates of the plurality of feature points according to the depth map, generating external information corresponding to the object according to the relative coordinates of the plurality of feature points, and generating monitor information corresponding to the object according to the external information corresponding to the object and reference parameters corresponding to the object.

Abstract: A system for generating a ground truth dataset for motion planning of a vehicle is disclosed. The system includes an internet server that further includes an I/O port, configured to transmit and receive electrical signals to and from a client device; a memory; one or more processing units; and one or more programs stored in the memory and configured for execution by the one or more processing units, the one or more programs including instructions for: a corresponding module configured to correspond, for each pair of images, a first image of the pair to a LiDAR static-scene point cloud; and a computing module configured to compute a camera pose associated with the pair of images in the coordinate of the point cloud.

Abstract: A surveying system for a construction site has a restricted antenna system with a plurality of fixed location antennas each defined by a set of location data associated with a specific deployment position. The surveying system also has a computing device with a data processor and a display screen. A communications module establishes a data transfer link with the restricted antenna system over which spatial data for distances between current positions of the computing device and one or more of the plurality of fixed location antennas are received. The computing device is loadable with project drawings corresponding to the construction site and displayable on the display screen. A position marker is overlaid on the display of the project drawing at a position thereon corresponding to a computing device location value derived from the spatial data and the location data of one or more of the fixed location antennas.

Abstract: Methods and systems for searching computer-aided design (CAD) data. One method includes receiving a selection of a type of CAD metadata, displaying a user interface including at least one input mechanism for receiving a search parameter associated with the type of CAD metadata, and receiving the search parameter through the user interface. The method also includes, in response to receiving the search parameter, automatically identifying, with an electronic processor, CAD metadata associated with the CAD data matching the search parameter, and providing the CAD metadata matching the search parameter to a user.

Abstract: This disclosure relates to improved sketch-based image retrieval (SBIR) techniques. The SBIR techniques utilize an architecture comprising three interconnected neural networks to enable zero-shot image recognition and retrieval based on free-hand sketches. Zero-shot learning may be implemented to retrieve one or more images corresponding to the sketches without prior training on all categories of the sketches. The neural network architecture may do so, at least in part, by training encoder hashing functions to mitigate heterogeneity of sketches and images, and by applying semantic knowledge that is learned during a limited training phase to unknown categories.

Abstract: A route planning system applied in a server or in a mobile client device can plan a travel route according to client device location information. The route planning system includes an obtaining module, a selection module, and a calculation module. The obtaining module obtains the client device location information. The selection module determines a distance or scanning range according to the client device location information, and selects first pictures from the server or the client device of destinations or attractions which are within the scanning range, according to the location information of all the stored pictures. The calculation module calculates at least one route according to the location information of the first pictures. A route planning method is also provided.

Abstract: The subject disclosure presents systems and methods for separating colors in an image by automatically and adaptively adjusting reference vectors based on information specific to the assay being imaged, resulting in an optimized unmixing process that provides stain information that is physically and physiologically plausible. The reference vectors are optimized iteratively, based on minimizing non-negative color contributions, background contributions, high-frequencies in color channels specific to background or unwanted fluorescence, signals from known immunohistochemical markers, and pairs of stains known to carry physiologically independent information. Adjustments to the reference vectors may be allowed within a range that is predetermined based on measuring colors from multiple input images.

Abstract: A method of localization for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs comprise instructions, which when executed by a computing device, cause the computing device to perform by one or more autonomous vehicle driving modules execution of processing of images from a camera and data from a LiDAR using the following steps comprising: constructing a 3D submap and a global map; extracting features from the 3D submap and the global map; matching features extracted from the 3D submap against features extracted from the global map; refining feature correspondence; and refining location of the 3D submap.

Abstract: An electro-optical imaging sensors system is disclosed for detecting and locating a blast, including muzzle flash, created by the launch of a projectile from a gun barrel, rocket tube or similar device, generally associated with weapons fire. The system is used in conjunction with detection algorithms and provides the azimuth and elevation from the detecting sensor to the location of the blast (the launch location) and also provides the weapon classification.

Abstract: According to an example, in a method for displaying visual analytics of entity data, geographic locations of entities may be plotted as first pixel cells on a first region and as second pixel cells on a second region of a geographic map. A determination may be made that the first pixel cells have a higher degree of overlap with each other in the first region compared to the second pixel cells in the second region. The geographic map may be distorted to enlarge the first region and the first pixel cells may be arranged in the first region in a manner that prevents the first pixel cells from overlapping each other. A color value for each of the pixel cells may be determined from a multi-paired color map that represents two variables corresponding to the entities by color and the pixel cells may be caused to be displayed on the distorted geographic map according to the determined respective color values.

Abstract: The present invention is directed to systems and methods for objectively assessing mission readiness. The systems can comprise a backend system and scenario server in communication with the backend system. The backend system can comprise a planning and analysis system comprising planning and/or assessing data for one or more training missions, a common database builder comprising geographical data of a geographical region for the training mission, and a digital media replicator comprising a social media module configured to receive publically accessible data relevant to the training mission from one or more social media platforms. The scenario server is configured to receive data from each of the planning and analysis system, common database builder, and digital media replication to create the training mission. Methods in accordance with such systems are disclosed herein.

Abstract: A system displays a raster-based or a vector-based formatted drawing on a user interface. A user selects a device on the drawing. The selected device is classified on a template. The drawing is searched for the classified template. Three-dimensional characteristics are imbued to the selected device. Connection types among different types of devices on the drawing are received into the system. A search is performed for all connection instances throughout the drawing using the received connection types. An object oriented and three-dimensionally, spatially referenced view of the drawing is generated on a user interface.

Abstract: A region of interest segmentation system includes a display device, a gaze-tracking device, a gaze point collector, a boundary identifier, and a region identifier. The display device displays an image. The gaze-tracking device, generates gaze points relative to the displayed image. The gaze point collector selects gaze points from the generated gaze points corresponding to a region of interest of the displayed image. the boundary identifier estimates a boundary based on the selected gaze points. The region identifier segments the region of interest based on the estimated boundary.

Abstract: Methods, devices, and systems are used for three-dimensional models for three-dimensional makers to indicate engineering requirements. In an example, operations may be effectuated that include displaying a graphical user interface including an object in a three-dimensional (3D) space and receiving first data that includes a link between a flag and a component of the object. The flag may be indicative of an engineering requirement associated with the component of the object. The flag in the 3D space approximate to the component of the object may be displayed based on the received data.

Abstract: A method for displaying a user interface on an electronic device is described. The method includes presenting a user interface. The user interface includes a coordinate system. The coordinate system corresponds to physical coordinates based on sensor data. The method also includes providing a sector selection feature that allows selection of at least one sector of the coordinate system. The method further includes providing a sector editing feature that allows editing the at least one sector.

Abstract: A method of digitizing a well log includes identifying automatically with a computational circuitry a legend and at least one graph of the well log; determining based on a machine learning a parameter of the at least one graph indicated in the legend; and digitizing the at least one graph based on the parameter.

Abstract: An off-screen point of interest, that has a corresponding off-screen display attribute, is identified. A distance of the identified off-screen point of interest is compared to a distance threshold. A display element, corresponding to the off-screen points of interest, is displayed on a border of a map display, based upon the comparison, and based upon a direction in which the off-screen point of interest is located, relative to a reference point on the map display.

Abstract: A method of digitizing a well log includes identifying automatically with a computational circuitry a legend and at least one graph of the well log; determining based on a machine learning a parameter of the at least one graph indicated in the legend; and digitizing the at least one graph based on the parameter.

Abstract: A method of digitizing a well log includes identifying automatically with a computational circuitry a legend and at least one graph of the well log; determining based on a machine learning a parameter of the at least one graph indicated in the legend; and digitizing the at least one graph based on the parameter.

Abstract: A method of digitizing a well log includes identifying automatically with a computational circuitry a legend and at least one graph of the well log; determining based on a machine learning a parameter of the at least one graph indicated in the legend; and digitizing the at least one graph based on the parameter.

Abstract: A system for incorporating geographical data into a map-related system, adding objects being tracked while moving within a specific geographic area and automatically analyzing their movement characteristics; wherein the tracking is done by visual means from a sky-borne platform.

Abstract: One or more techniques and/or systems are disclosed for generating improved planar panorama imagery, which may be used to view street-level, human-scale locations along a desired path, for example. One or more desired objects can be detected in source imagery that may be used to produce the resulting planar panorama imagery. Respective object regions comprising a desired object can be identified in one or more frames of the source imagery. One or more portions of the source imagery that do not comprise the object region for the desired object can be joined with at least some of the one or more frames that do comprise the object region for the desired object. The resulting planar panorama imagery can thus comprise the desired object. Also, the planar panorama imagery can be generated so as to lack one or more non-desired objects and/or adverse effects that may result therefrom.

Abstract: The present invention concerns a system and method for analyzing the relationship between representational data found in source documents through creation and manipulation of a virtual manifold, such as a node array. Furthermore, the present invention concerns predicting new representational data based on the representational data found within the source documents. The system and method further utilizes a processor configured to carry out a series of steps in order to create, maintain and manage associations between source documents, the representational identifiers found within the source documents, and any converted coded forms of the representational identifiers.

Abstract: In one embodiment, a method comprises identifying, by a network device, a future time interval for establishment of a corresponding future tree-based topology that is to be optimized according to an identified objective function, the future tree-based topology and corresponding identified objective function distinct from a current tree-based topology optimized according to a corresponding current objective function; and generating and outputting, by the network device, a message advertising the network device offering availability of the future tree-based topology optimized at the future time interval for the identified objective function, enabling other network devices to attach to the network device during the future time interval for communications optimized according to the identified objective function.

Abstract: A method for image processing. The method includes: reading an image of a flowchart; identifying, within the image, a plurality of paths corresponding to the flowchart; grouping the plurality of paths into a plurality of groups including a first group and a second group; calculating a plurality of likelihood scores corresponding to flowchart elements for each of the plurality of groups; identifying a first path belonging to the first group and the second group; and selecting the first group as the primary group for the first path based on a maximum likelihood score for the first group and a maximum likelihood score for the second group; and generating a flowchart object based on the primary group for the first path.

Abstract: A method and system for automatically assessing the mental state of a user from a drawing made by the user. The mental state of the user is automatically assessed by digitizing a drawing and determining and analyzing drawing characteristics, including color, objects, and location. Video analytics are used to determine and analyze user time characteristics and mood characteristics. The mental state of the user is automatically determined by interpreting the color, object, location, time and mood characteristics and to automatically select a user action. A machine learning algorithm can learn developmental patterns of the user from historical data about a plurality of the user's drawings and the characteristics of the drawings to determine the mental state of the user. The machine learning algorithm can be used in selecting the user action.