Abstract: A digital watermark can be embedded within remote display protocol output. When host-side rendering is employed, the decoder on the client side can include a digital watermark component that can add a digital watermark to the remote display protocol output during the decoding process. This digital watermark can be specific to the end user and/or client device to thereby enable any misappropriation of the remote display protocol output to be traced back to the end user. The digital watermark can be added as a clearly visible portion of the remote display protocol output or can be added as an invisible (i.e., hidden) portion of the remote display protocol output.

Abstract: Methods and apparatus associated with distinguishing invasive adenocarcinoma (IA) from in situ adenocarcinoma (AIS) are described. One example apparatus includes a set of logics, and a data store that stores three dimensional (3D) radiological images of tissue demonstrating IA or AIS. The set of logics includes a classification logic that generates an invasiveness classification for a diagnostic 3D radiological image, a training logic that trains the classification logic to identify a texture feature associated with IA, an image acquisition logic that acquires a diagnostic 3D radiological image of a region of tissue demonstrating cancerous pathology and that provides the diagnostic 3D radiological image to the classification logic, and a prediction logic that generates an invasiveness score based on the diagnostic 3D radiological image and the invasiveness classification.

Abstract: A system including an interface for receiving inspection image data of an inspection image of an inspection object. The inspection image data includes information of an analyzed pixel of the inspected image and of reference pixels of the inspected image. The system further includes a memory and a processor device operatively coupled to the interface and the memory to obtain an inspected value representative of the analyzed pixel of the inspected image, and a reference value for each of the reference pixels of the inspected image. For each reference pixel, the processor devices calculates a difference between the reference value of a respective reference pixel and the inspected value of the analyzed pixel, computes a representative difference value based on the differences and determines a presence of a defect in the analyzed pixel based on the representative difference value.

Abstract: A delivery processing apparatus has a recognition unit and a determination unit. The recognition unit executes recognition processing for recognizing information that is provided on a delivery target item based on an image obtained by shooting an image of the delivery target item. The determination unit determines whether or not to extend the recognition processing performed by the recognition unit, based on a degree of progress of the recognition processing that has been performed by the recognition unit in a period from when the information recognition processing was started by the recognition unit until a predetermined time has elapsed, and an extension rate, which indicates a ratio of the number of times that the recognition unit has extended the recognition processing to the number of times that the recognition unit has performed the recognition processing.

Abstract: Providing user software feedback and conflict resolution from a kiosk device. A computer of the kiosk captures audio and visual data from a user during an interaction between the user and software of the kiosk device. The computer analyzes the audio data and visual data to determine at least a sentiment of the user relative to the interaction and determines a score for the interaction. If the score is greater than a threshold, the computer determining at least a portion of the software needs improvement based on the score and the determined sentiment of the user during the interaction.

Abstract: A method and corresponding arrangement for reconstructing an image based on spectral image data acquired for at least two different effective energies includes: obtaining a first set of spectral image data related to an object to be imaged and a second set of spectral image data related to a calibration phantom including at least one reference material; performing basis decomposition based on the first set of spectral image data, providing estimated basis images of the object to be imaged with respect to associated basis functions; performing basis decomposition based on the second set of spectral image data, providing calibrated estimates of reference basis coefficients corresponding to the at least one reference material; and determining image values representing the object based on a system model of an imaging system to be emulated, the estimated basis images and their associated basis functions, and the calibrated estimates of reference basis coefficients.

Abstract: Systems, methods, and computer program products for smart, automated capture of textual information using optical sensors of a mobile device are disclosed. The capture and provision is context-aware, and determines context of the optical input, and invokes a contextually-appropriate workflow based thereon. The techniques also provide capability to normalize, correct, and/or validate the captured optical input and provide the corrected, normalized, validated, etc. information to the contextually-appropriate workflow. Other information necessary by the workflow and available to the mobile device optical sensors may also be captured and provided, in a single automatic process. As a result, the overall process of capturing information from optical input using a mobile device, invoking an appropriate workflow, and providing captured information to the workflow is significantly simplified and improved in terms of accuracy of data transfer/entry, speed and efficiency of workflows, and user experience.

Abstract: The present invention relates to a medical data processing method for identifying an entity of the nervous system, in particular the brain, of a patient, wherein the method is designed to be executed by a computer and comprises the following steps: a) acquiring target connectivity data comprising target connectivity information about the probability of a target entity being connected to other entities of the nervous system; b) acquiring candidate connectivity data comprising candidate connectivity information about the probability of at least one candidate entity being connected to other entities of the nervous system; and c) determining similarity data for each of the at least one candidate entities on the basis of the candidate connectivity data and the target connectivity data, wherein the similarity data comprise similarity information about the similarity between the candidate entity and the target entity.

Abstract: Technologies for edge device object recognition include a server and one or more edge devices in communication over a network. The server maintains an object recognition database that stores images associated with a plurality of objects. The server identifies a subset of the objects that is expected to be recognized by each of the edge devices and generates a reduced object recognition database for each edge device that includes the corresponding subset of images. Each edge device monitors for device events and, in response to a device event, performs object recognition using the corresponding reduced object recognition database. The edge device may transmit thumbnail images of unrecognized objects to the server. The edge device may be coupled to a product storage device such as a cooler or retail shelf, and device events may include sensor events such as door open or door closed events. Other embodiments are described and claimed.

Abstract: A terrain mapping system includes an aerial system including at least one camera configured to capture a plurality of aerial images of an area and transmit the plurality of aerial images to an image database, a plurality of machines each having a ground control point (GCP) disposed thereon, and each being configured to periodically record a global location of the GCP in a location history database, and a mapping unit configured to construct a preliminary three-dimensional (3D) terrain map based on the plurality of aerial images, detect at least one GCP within at least one aerial image, determine an estimated global location and an accurate global location of the at least one GCP, and calibrate the preliminary 3D terrain map based on the estimated global location and the accurate global location of the at least one GCP.

Abstract: A method for processing a plurality of images associated with a motor vehicle is provided. The method identifies an object in the plurality of images; determines whether the object is located in the background of the plurality of images; and when the object is located in the background of the plurality of images, filters the object from a presentation of the plurality of images.

Abstract: A method of storing information relating, to a medical implant device having a number of implant elements includes receiving a first image, the first image showing a surgical site and the medical implant device, creating a second image using the first image and a stored list of possible implant elements, the second image showing the surgical site and the medical implant device with a number of labels associated therewith, wherein each of the labels is associated with a respective one of the implant elements and indicates one of the possible implant. elements from the stored list, and storing the second image on an transponder device structured to be attached to the medical implant device or at a medically appropriate site on or within a patient's body.

Abstract: A launch monitor having a camera can be used to measure a trajectory parameter of a ball. In one example, a method can include changing a mode of the camera from a low-speed mode to a high-speed mode. The camera can include an image sensor array having a plurality of pixels. The camera can generate a video frame using more pixels in the low-speed mode than in the high-speed mode. A first video frame can be received, the video frame comprising values captured during the high-speed mode from a first subset of the plurality of pixels. A second video frame can be received, the video frame comprising values captured during the high-speed mode from a second subset of the plurality of pixels. The trajectory parameter of the ball can be calculated using the first video frame and the second video frame.

Abstract: A method for evaluating the placement of a prosthetic heart valve in a structure of interest. The method comprises acquiring one or more depictions of an anatomical region of interest that includes the structure of interest, wherein each depiction shows the structure of interest and/or the blood pool volume of the left ventricular outflow tract (LVOT) of the patient's heart. The method further comprises designating one or more positions in at least one of the one or more depictions wherein each position corresponds to a respective position in the structure of interest at which the prosthetic valve may be placed. The method still further comprises predicting, for each of the one or more designated positions, an amount of blood flow obstruction through the LVOT of the patient's heart that would occur if the prosthetic valve was to be placed at a corresponding position in the structure of interest.

Abstract: Systems and methods are provided for mapping myocardial tissue architecture based on diffusion tensor imaging (DTI). A set of eigenvectors is derived from diffusion tensor data, where each eigenvector describes the diffusion of spins along one of the Cartesian directions. A radial coordinate axis and a circumferential plane are determined based on anatomical information of the subject, such as from an image depicting the epicardial surface of the subject's heart, A longitudinal coordinate axis and a circumferential coordinate axis are determined based on the radial coordinate axis and circumferential plane, A fiber architecture matrix (FAM) is then computed for locations in the subject's heart based on projecting the set of eigenvectors onto a local coordinate system defined by the circumferential, radial, and longitudinal axes, Maps that represent myocardial tissue architecture can then be generated using the FAM for locations within the subject's heart.

Abstract: Registering coordinate systems on an image is carried out by positioning a calibration jig having at least two collinear marker quadruples that are opaque to an imaging modality. Collinear quadruples are detected on an image of the jig and respective image cross ratios of the collinear quadruples are computed. Candidate lines are established by associating at least one collinear marker quadruple and at least one collinear image quadruple that have matching cross ratios. Respective registrations of the calibration jig with the image are performed using pairs of the candidate lines. One of the registrations is selected, wherein the selected registration has a residual that is smaller than a predetermined value.

Abstract: A skin dullness evaluation apparatus includes a frequency analyzing unit that decomposes a skin image into color heterogeneity of a predetermined size; a color heterogeneity index obtaining unit that obtains color data of skin from each of the color heterogeneity decomposed by the frequency analyzing unit, and obtains a color heterogeneity index of the color heterogeneity from the obtained color data of skin; and a dullness evaluation unit that evaluates skin dullness corresponding to the skin image based on the color heterogeneity index obtained by the color heterogeneity index obtaining unit.

Abstract: The present invention teaches systems and methods for a simple cardiac MRI approach that (1) continuously acquires data; (2) covers the entire heart with high isotropic resolution within a few minutes; and (3) requires no physiological gating and minimal user intervention. Applications of the inventive systems and methods include, but are in no way limited to cardiac cine, myocardial perfusion, coronary MRA, delayed enhancement imaging, myocardial T1-weighted imaging for fibrosis imaging, and myocardial T2-weighted imaging for edema imaging.

Abstract: An information processing system comprises: a light emitting unit that irradiates pattern light having a specific pattern to a subject to form a texture on the subject; an imaging unit that captures the subject on which the texture is formed; a deriving unit that derives distance information to the subject based on an image captured by the imaging unit; an analyzing unit that analyzes whether or not an image abnormality is present in either one of the captured image and an image based on the distance information; and a dimming unit that performs dimming control when the analyzing unit analyzes that the image abnormality is present.

Abstract: An image processing device includes an image sequence acquisition section that acquires an image sequence that includes a plurality of constituent images, and a processing section that performs an image summarization process that deletes some of the plurality of constituent images included in the image sequence to generate a summary image sequence, the processing section selecting a reference image and a determination target image from the plurality of constituent images, detecting an unnecessary area from the determination target image, calculating a loss area based on deformation information about the reference image and the determination target image, and the unnecessary area, the loss area being an area that is lost when the determination target image is deleted, and determining whether or not the determination target image can be deleted based on the calculated loss area.