Abstract: A portable device is configured to obtain an image of a document, the document being of no predefined format and containing numerical data. The numerical data is extracted and automatically organized into a report in a predefined or customized format and stored into a database. The database is accessible and searchable by a user to obtain either the numerical data of the image or the report.

Abstract: A technique for controlling release of data associated with an account is described. During this data-privacy management technique, a computer system provides at least a subset of data associated with an account to a third party based on a first consent (which may be received from a user of the account). This subset may have a first classification based on a predefined taxonomy. Subsequently, the third party may notify the computer system that additional data has been derived from the data. In response, the computer system may determine a second classification of the additional data based on a predefined taxonomy. If this second classification is other than a subset of the first classification, the computer system may request a second consent (for example, from the user).

Abstract: Managing an initial post on a website includes identifying an initial post on website where the initial post is for an event, identifying a related post that describes the event after the event occurs, and updating the initial post to include content of the related post.

Abstract: Embodiments create and label contextual slices from observation data and aggregate slices into a hierarchical storyline for a user. A context is a (possibly partial) specification of what a user was doing in the dimensions of time, place, and activity. A storyline is composed of a time-ordered sequence of contexts that partition a given span of time that are arranged in groups at one or more hierarchical levels. A storyline is created through a process of data collection, slicing, labeling, and aggregating. Raw context data can be collected from a variety of observation sources with various error characteristics. Slicing refines the raw context data into a consistent storyline composed of a sequence of contexts representing homogeneous time intervals. Labeling adds more specific and semantically meaningful data (e.g., geography, venue, activity) to the slices. Aggregation identifies groups of slices that correspond to a single semantic concept.

Abstract: Systems and methods for determining if media files being submitted to a hosting site contain media to which another has rights and informing a submitter of the potential media rights conflict without first divulging such information to a potential third party rights holder. Upon submission, if the media contains material to which another has rights, the submitter will be informed which portion of the submitted media file is infringing and given the opportunity to submit a modified media file. This approach maintains the confidential nature of the submitted media while enforcing the rights of third parties. The system also automatically notifies the appropriate parties in the event that the submitter does not resolve a conflict with media files to which another has rights and includes the ability to automatically remove the offending submitted media content. A method for detecting a possible media rights conflict is also presented.

Abstract: An ownership interest in copies of physical artifacts is acquired from a set of owners. Each physical artifact contains a copyrighted work. The acquired ownership interest in the copyrighted work is transferred from at least a subset of the physical artifacts into a corresponding subset of digital content media items. The acquired ownership interest in the copyrighted works is leveraged to permit a set of consumers to access and utilize the subset of digital content media items. One or more computing devices execute a set of one or more functions to ensure a quantity of the consumers permitted to concurrently access digitized content of the digital content media items never exceeds a quantity of the acquired ownership interests acquired from the physical artifacts.

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

Abstract: A system and method of providing centrally updatable digital content on local electronic devices via a remote device content and learning management system is provided. At least one media server is provided having central high bandwidth content resident thereon, at least intermittently communicatable with at least one local electronic device. The local device is populatable with the central high bandwidth content as an instance of local high bandwidth content. The local high bandwidth content is compared to the central high bandwidth content, and the currentness of the local high bandwidth content is determined with respect to the central high bandwidth content. The local high bandwidth content is updated if it is determined to be not current with respect to the central high bandwidth content via downloading newer content from the media server to the local electronic device. The system is preferably app-based.

Abstract: Generally, the present disclosure is directed to managing shared resources in a multi-modality medical system. A multi-modality medical system acquires, stores, processes, and displays data associated with a plurality of different medical modalities. Although different, independent modules within the medical system handle different modality workflows, such modules rely on common resources in the system. The method and systems described herein coordinate usage of the common resources, such as a display viewport, among the independent modality modules. For example, a token-based, locking scheme is utilized to exclusively assign a shared resource to a single modality component. This locking scheme prevents, for example, resource deadlocks from occurring during a patient procedure, thus enhancing patient safety.

Abstract: A communication system (200) provides a self-driving vehicle (122) having a plurality of processor controlled interface devices (230) that acquire input pertaining to a detainee and an infraction associated with the detainee located within the vehicle. The processor controlled interface devices (230) provide mobile law enforcement processing and proceedings of the detainee within the self-driving vehicle (122). The self-driving vehicle (122) automatically delivers the detainee to an approved location determined by the mobile law enforcement processes and proceedings.

Abstract: A method and apparatus for providing a response/suggestion to a user by a digital assistant is provided herein. During operation the digital assistant will have access to devices connected to it via a personal-area network (PAN). The digital assistant will then tailor any response/suggestion to the user based on PAN devices associated with the network.

Abstract: According to one aspect, the subject matter described herein includes a method for secure content watermarking. The method includes generating a watermark that encodes information as a set of visual elements; receiving content that represents a graphical workspace to be displayed to a user; creating watermarked content by combining an image of the received content with at least one copy of the watermark sufficient to fill the area of the image; and displaying the watermarked content to the user via a display device having a display area. Should the user take a screenshot or take a picture of some or all of the watermarked content, the picture so acquired will contain watermark information that can be used to identify the session from which the picture or screenshot was taken.

Abstract: Provided are a template-based watermarking method for a DIBR 3D image and an apparatus thereof. The method includes: determining a template watermark inserting area and a message watermark inserting area in spatial domain of an image; transforming the determined template watermark inserting area into a frequency domain to insert at least one preset template watermark and transforming the determined message watermark inserting area into a frequency domain to insert a preset message watermark; and transforming the template watermark inserting area, into which the template watermark is inserted, into a spatial domain and transforming the message watermark inserting area, into which the message watermark is inserted, into a spatial domain.

Abstract: Exemplary methods, apparatuses, and systems receive a command from a program to render graphics data on a display device, transmit the command to a graphics processing unit (GPU), and transmit a readback request to the GPU. Upon receiving a response to the readback request from the GPU, the program is alerted that the command has been transmitted to the GPU. The response to the readback request is a pointer to a memory location at which the GPU has written rendered frame data representing the command. In response to receiving notification of a failure of the GPU, the rendered frame data written in response to the readback request and any additional commands to render the additional graphics requests received subsequent to the transmission of the readback request are transmitting to the GPU upon recovery from the failure, or to another GPU.

Abstract: The present invention relates to the field of processing a video stream, and more particular to the field of post processing of a video stream using shaders. The processing of the video stream is divided between a video stream processing device and a client device.

Abstract: Techniques for merging multiple filters into a single GPU program is described. The system includes a filtering engine, which receives an input to apply a plurality of filters to a source image. The filtering engine identifies a first type of filter and a second type of filter from the input. The filtering engine identifies a supplemental transformation filter from the input, implements the supplemental transformation filter using a custom function to generate a color value at the source image and merges the first type of filter and the second type of filter based on the supplemental transformation filter. Finally, the filtering engine may apply the merged filter on the source image to generate a destination image.

Abstract: This disclosure describes a device configured to generate a primitive visibility stream that indicates whether respective primitives of a set of primitives are visible when rendered and to generate, based on the primitive visibility stream, a draw call visibility stream that indicates whether respective draw calls for rendering the set of primitives include instructions for rendering visible primitives of the set of primitives. Based on the draw call visibility stream indicating that a respective draw call does not include instructions for rendering visible primitives, the device is further configured to drop the respective draw call. Based on the draw call visibility stream indicating that the respective draw call includes instructions for rendering visible primitives, the device is further configured to execute the respective draw call.

Abstract: Systems and methods for improving operation of an electronic device that includes a processing pipeline. The processing pipeline includes a prediction block that determines prediction residuals based on difference between uncompressed image data corresponding with a pixel tile and prediction of a first pixel group in the pixel tile and difference between the uncompressed image data and prediction of a second pixel group in the pixel tile, a run encode block that replaces a first of the prediction residuals with an escape value and a second of the prediction residuals with a run length value when a run starting in the first pixel group and continuing into the second pixel group is detected, and an entropy encode block that generates compressed image data corresponding with the pixel tile by entropy encoding a third of the prediction residuals, the escape value, and the run length value when the run is detected.

Abstract: A diagnostic data generation apparatus for a display controller comprises an underrun detector arranged to monitor, when in use, buffer depletion in order to detect an underrun condition. The underrun condition results from a data feed lag associated with a mismatch between a buffer fill rate and a predetermined output data rate. The underrun detector is arranged to generate diagnostic data in response to detection of the underrun condition, the diagnostic data identifying the underrun condition and a location in an array of pixels associated with the underrun condition.

Abstract: A first method for mapping out a design by using a symbolized image and a second method for analyzing an object of design to which a symbolized image is applied is provided. The first method includes the steps of: mapping out an object of design to display the symbolized image including a symbolic sign created at a position in the symbolized image corresponding to a blank space of a character image; and outputting an image of the object of design. Further, the second method includes the steps of: receiving information on an appearance of the object of design implemented by using a symbolized image including a symbolic sign created at a position in the symbolized image corresponding to a blank space of the character image; extracting the symbolized image implemented on the object of design; and (c) displaying the extracted symbolized image.

Abstract: A method, system, and/or computer program product augment and display a photographic image based on a context of a subject of the photographic image. One or more processors receive a photographic image that was captured by a camera. The processor(s) determine a context of the photographic image, where the context is captured by a context sensor at a location of a subject whose image is captured in the photographic image, and where the context describes a state of the subject whose image is captured in the photographic image. The processor(s) augment the photographic image with an additional feature to create an augmented photographic image based on the context captured by the context sensor. The processor(s) then display the augmented photographic image on a viewing device.

Abstract: In an embodiment, a user equipment (UE) groups a plurality of images. The UE displays a first image among the plurality of images, determines an object of interest within the first image and a desired level of zoom, and determines to lock onto the object of interest in association with one or more transitions between the plurality of images. The UE determines to transition to a second image among the plurality of images, and detects, based on the lock determination, the object of interest within the second image. The UE displays the second image by zooming-in upon the object of interest at a level of zoom that corresponds to the desired level of zoom.

Abstract: An initial high-resolution image (D2) is generated by projection of low-resolution images (DIN) onto a high-resolution image space, an intermediate-resolution image (D31) is generated by projection of the low-resolution images (DIN) onto an intermediate-resolution image space, the intermediate-resolution image (D31) is interpolated and enlarged to generate an intermediate-resolution enlarged image (D3), and the pixel values of the undefined pixels in the initial high-resolution image (D2) are estimated using the pixel values of the corresponding pixels in the intermediate-resolution enlarged image (D3). It is possible to generate a high-resolution image of a high picture quality with higher accuracy even when less low-resolution images are used.

Abstract: The invention provides a facial image adjustment system and a facial image adjustment method. The facial image adjustment method comprises following steps: obtaining a image file; storing at least one known facial image and at least one adjustment parameter set corresponding to the at least one known facial image; and adjusting a first initial facial image corresponding to the at least one known facial image according to the at least one adjustment parameter set of the at least one known facial image in respond to recognize the image file comprising the first initial facial image corresponding to the at least one known facial image, so as to output a post-production facial image.

Abstract: A computing device for detecting an object of interest in an image is provided. The computing device includes a memory device and a processor to process image data by evaluating pixel contrast to facilitate detecting an edge transition in an image, by identifying neighboring pixels that are above a predetermined contrast value, which represent a potential object of interest, filtering the pixels based on color information to identify areas where there is a color edge transition, applying a convolution filter mask to yield regions of pixels having a localized concentration of contrast and color changes, applying a threshold filter for identifying those pixel regions having values that are greater than a predetermined threshold value and grouping the identified pixel regions into one or more groups representing an object of interest, and generating an alert to notify an operator that the object of interest in the image has been detected.

Abstract: Embodiments described herein are directed to methods and systems for facilitating control of smoothness of transitions between images. In embodiments, a difference of color values of pixels between a foreground image and the background image are identified along a boundary associated with a location at which to paste the foreground image relative to the background image. Thereafter, recursive down sampling of a region of pixels within the boundary by a sampling factor is performed to produce a plurality of down sampled images having color difference indicators associated with each pixel of the down sampled images. Such color difference indicators indicate whether a difference of color value exists for the corresponding pixel. To effectuate a seamless transition, the color difference indicators are normalized in association with each recursively down sampled image.

Abstract: A method and apparatus for adaptive denoising of source video in a video conference application is provided. Video captured is analyzed on a frame by frame basis to determine whether denoising of the frame should be performed prior to providing the source frame to an encoder. If the frame is to be denoised, the frame is divided into a plurality of blocks and a local denoising process is performed on a block per block basis.

Abstract: ClearType resolution recovery resampling of source content is performed as the source content is transformed from a source presentation format to a destination presentation format by at least distinguishing between pixels of a bitmap corresponding to the source content that are ClearType pixels and pixels of the same bitmap that are non-ClearType pixels. Identification of ClearType pixels is performed by identifying Alpha values of pixels that are less than 1, by identifying high frequency color fringing of pixels and/or by explicit declarations in the bitmap. The bitmap is resampled by applying transforms, such as convolution filters, in selective and discriminating ways, such that, for example, the ClearType pixels of the bitmap are resampled/transformed on a subpixel granularity and the non-ClearType pixels of the same bitmap are transformed on a pixel granularity.

Abstract: Further, there are provided a filter acquisition apparatus, a filter acquisition method, a program, and a recording medium, capable of acquiring a filter which is suitably usable in such a filtering process. An image processing apparatus 35 includes a filtering process unit 41 that performs an image filtering process that has a plurality of times of filtering processes. The filtering process unit 41 applies a filter to processing target data to acquire filter application process data, applies a gain to the filter application process data to acquire gain application process data, in each filtering process. In each filtering process, the gain applied to the filter application process data is acquired based on a target frequency characteristic of the image filtering process.

Abstract: The image processing method includes acquiring multiple parallax images produced by image capturing of an object, the parallax images having a parallax to one another. The method further includes acquiring, by using the respective parallax images as base images, relative difference information on a relative difference between each of the base images and at least one other parallax image in the multiple parallax images, and detecting an unwanted component contained in each of the parallax images by using the relative difference information.

Abstract: An object detection apparatus is described and which includes an image capturing device; a source of electromagnetic radiation which is directed towards and reflected from an object passing through a field of view; a background located in spaced relation relative to the image capturing device, and wherein the field of view is located between the image capturing device and the background; and an electromagnetic radiation detector is positioned in electromagnetic receiving relation relative to the background and which is operable to generate a signal which indicates the presence of an object passing through the field of view.

Abstract: A method for classifying defects of a wafer, the method is executed by a computerized system, the method may include obtaining defect candidate information about a group of defect candidates, wherein the defect candidate information comprises values of attributes per each defect candidate of the group; selecting, by a processor of the computerized system, a selected sub-group of defect candidates in response to values of attributes of defect candidates that belong to at least the selected sub-group; classifying defect candidates of the selected sub-group to provide selected sub-group classification results; repeating, until fulfilling a stop condition: selecting an additional selected sub-group of defect candidates in response to (a) values of attributes of defect candidates that belong to at least the additional selected sub-group; and (b) classification results obtained from classifying at least one other selected sub-group; and classifying defect candidates of the additional selected sub-group to provide a

Abstract: This application discloses a video inspection system for a rework station, which includes multiple image capture devices to capture multiple images or videos of a printed circuit board assembly, a presentation tool to merge the captured images or video into a image or video, and a display device to present the image video. The presentation tool also can augment the captured video of the printed circuit board assembly with information from a layout design of the printed circuit board assembly. The presentation tool can receive a selection of a portion of the layout design or a selection of at least one component in the printed circuit board assembly, and annotate the captured video of the printed circuit board assembly with design data from the layout design that corresponds to the selected portion of the layout design or the selected component in the printed circuit board assembly.

Abstract: A method and system for determining the presence or absence of a part of an assembly within at least one user-defined, 3-D detection region within a work cell are provided. The system includes a 3-D or depth sensor having a field of view at the work cell. The sensor has a set of radiation sensing elements which detect reflected, projected radiation to obtain 3-D sensor data. A processor processes the sensor data from the sensor to obtain a 3-D graphic of the at least one detection region. A display displays the 3-D graphic from a viewpoint to determine the presence or absence of the part within the detection region.

Abstract: A fuel filter inspection method includes capturing an image of a fuel filter sample using an imaging device and sending the captured image to an image processor. The method further includes the image processor receiving the captured image, thresholding the captured image to generate a binary image, determining sizes for a plurality of particles present in the binary image, comparing the size of each of particle of the plurality of particles to a particle size threshold, and quantifying the number of particles of the plurality of plurality of particles with a size greater than the particle size threshold. The method further includes the image processor comparing the number of particles of the plurality of particles with a size greater than the particle size threshold to a particle count threshold, and modifying a graphical user interface to indicate a state of the fuel filter sample based on the comparison.

Abstract: A user had to manually select a cross-sectional image indicating features of a finding and a cross-sectional image displayed in a report, from a three-dimensional medical image. Provided is an image processing apparatus that includes: a unit configured to acquire a target finding of a medical image; a unit configured to calculate an image feature quantity of a type associated in advance with the target finding, for each of a plurality of cross-sectional images of the medical image; and a unit configured to identify a cross-sectional image from the plurality of cross-sectional images based on the calculated image feature quantity. Operation of selecting a cross-sectional image by a doctor can be omitted, and the burden can be reduced.

Abstract: A method for reconstructing a volume image of a subject, executed at least in part by a computer, accesses projection x-ray images of the subject and performs a volume image reconstruction using the x-ray images by iteratively performing alternating steps of a tomographic update, where a gradient based algorithm having a preconditioner is used to update the volume image reconstruction and a spatially varying denoising that is a function of the preconditioner. The method displays, stores, or transmits the volume image reconstruction.

Abstract: Systems and methods for personalized cancer therapy using analysis of pathology slides to target regions in a single sample that interrogates the feature data of a relatively large number of cells. The disclosure describes pathology case review tools of the future which include analysis, visualization and prediction modeling to provide novel information to the pathologist for the diagnosis of disease. This disclosure further describes a user interface to assist the physicians that make that diagnosis, pathologists. Complex computer learning algorithms will combine and mine these data sets to recommend optimal treatment strategies. A computer interface is provided which allows a pathologist to access those data instantly to make a more informed and accurate diagnosis.

Abstract: A registration processor (74) is configured to obtain articulated brain substructures using acquired brain image data and template brain image data. The registration processor (74) annotates the brain image data; registers the brain image data with template image data using global brain registration; and registers at least one brain structure of the brain image data a corresponding brain structure of the template image data using a local brain substructure registration. The registration processor (74) articulates articulated substructures of the registered brain structures to improve registration using articulated substructure registration.

Abstract: A system and method relating to image processing are provided. The method may include the following operations. First data at a first bed position and second data at a second bed position may be received. The first bed position and the second bed position may have an overlapping region. A first image and a second image may be reconstructed based on the first data and the second data, respectively. Third data and fourth data corresponding to the overlapping region may be extracted from the first data and the second data, respectively. Merged data may be generated by merging the third data and the fourth data. A third image may be reconstructed based on the merged data. A fourth image may be generated through image composition based on the first image, the second image, and the third image.

Abstract: Methods, apparatus, and other embodiments associated with classifying a region of tissue represented in a digitized whole slide image (WSI) using iterative gradient-based quasi-Monte Carlo (QMC) sampling. One example apparatus includes an image acquisition circuit that acquires a WSI of a region of tissue demonstrating cancerous pathology, an adaptive sampling circuit that selects a subset of tiles from the WSI using an iterative QMC Sobol sequence sampling approach, an invasiveness circuit that determines a probability of a presence of invasive pathology in a member of the subset of tiles, a probability map circuit that generates an invasiveness probability map based on the probability, a probability gradient circuit that generates a gradient image based on the invasiveness probability map, and a classification circuit that classifies the region of tissue based on the probability map. A prognosis or treatment plan may be provided based on the classification of the WSI.

Abstract: Systems and methods are provided for automated segmentation of lesions within a region of interest of a patient. At least one magnetic resonance imaging (MRI) image of the region of interest is produced. At least one probability map is generated from the at least one MRI image. A given probability map represents, for each of a plurality of pixels, a likelihood that a lesion is present at the location represented by the pixel given the at least one MRI image of the region of interest. The at least one probability map is combined with a plurality of additional probability maps to provide a composite probability map. Lesions are identified from the composite probability map.

Abstract: An information processing apparatus, an information processing method, and a cell analysis system are provided. The information processing apparatus includes a processor configured to: determine a frequency feature value based on motion data from an image of a cell, and control displaying information associated with the frequency feature value, wherein the frequency feature value includes a power spectral density for each time range and each frequency band, and wherein the information associated with the frequency feature value is displayed in association with the each time range and the each frequency band.

Abstract: The invention is a method for estimating the amount of analyte in a fluid sample, and in particular in a bodily fluid. The sample is mixed with a reagent able to form a color indicator in the presence of the analyte. The sample is then illuminated by a light beam produced by a light source; an image sensor forms an image of the beam transmitted by the sample, from which image a concentration of the analyte in the fluid is estimated. The method is intended to be implemented in compact analyzing systems. One targeted application is the determination of the glucose concentration in blood.

Abstract: According to examples of the presently disclosed subject an active triangulation system includes an active triangulation setup and a calibration module. The active triangulation setup includes a projector and a sensor. The projector is configured to project a structured light pattern that includes a repeating structure of a plurality of unique feature types and a plurality of markers distributed in the projected structured light pattern, where an epipolar distance between any two epipolar lines which are associated with an appearance in the image of any two respective markers is greater than a distance between any two distinguishable epipolar lines. The sensor is configured to capture an image of a reflected portion of the projected structured light. The calibration module is configured to determine an epipolar field for the active triangulation setup according to locations of the markers in the image, and to calibrate the active triangulation setup.

Abstract: A system for providing positioning functionality in an apparatus. Apparatuses may comprise various sensor resources and may utilize these resources to sense information at a location. For example, an apparatus may sense visual, signal and/or field information at a location. The apparatus may then compare the sensed information to a mapping database in order to determine position.

Abstract: One embodiment provides a method of identifying a location of a target object within a plurality of images, the method including: utilizing at least one processor to execute computer code that performs the steps of: receiving a plurality of images; receiving position information indicating a central location, wherein the central location comprises a location that the plurality of images were taken; receiving direction information indicating a position of a target object with respect to the central location, wherein one of the plurality of images contains the target object; and determining, using the position information and the direction information, a target location, wherein the target location comprises a location of the target object. Other aspects are described and claimed.

Abstract: A system and method are described for automating the analysis of cephalometric x-rays. Included in the analysis is a method for automatic anatomical landmark localization based on convolutional neural networks. In an aspect, the system and method employ a deep database of images and/or prior image analysis results so as to improve the outcome from the present automated landmark detection scheme.

Abstract: Systems and methods for reducing interference between multiple infra-red depth cameras are described. In an embodiment, the system comprises multiple infra-red sources, each of which projects a structured light pattern into the environment. A controller is used to control the sources in order to reduce the interference caused by overlapping light patterns. Various methods are described including: cycling between the different sources, where the cycle used may be fixed or may change dynamically based on the scene detected using the cameras; setting the wavelength of each source so that overlapping patterns are at different wavelengths; moving source-camera pairs in independent motion patterns; and adjusting the shape of the projected light patterns to minimize overlap. These methods may also be combined in any way. In another embodiment, the system comprises a single source and a mirror system is used to cast the projected structured light pattern around the environment.

Abstract: Methods, systems, and computer program products for static image segmentation are provided herein. A method includes segmenting an image containing a target object into multiple regions; analyzing video content containing the target object to determine a similarity metric across the multiple segmented regions based on information associated with the multiple segmented regions; and applying the similarity metric to the image to identify two or more of the multiple segmented regions as being portions of the target object.