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9117458

13509306

1. A method for decoding an audio signal, the method comprising: receiving, by an audio processing apparatus, spectral data including a current block having a spectral hole, and substitution type information indicating whether to apply a shape prediction scheme to the current block, based on the substitution type information indicating that the shape prediction scheme is applied to the current block, receiving lag information indicating an interval between spectral coefficients of the current block and a predictive shape vector of the shape prediction scheme, and wherein the substitution type information is determined based on a correlation value between spectral coefficients of the current block and the predictive shape vector, the correlation value is estimated by using a candidate lag value (d k ), and based on the correlation value being greater than or equal to a predetermined value, the shape prediction scheme is applied to the current block having the spectral hole; obtaining spectral coefficients by substituting for spectral hole included in the current block using the lag information; and decoding the spectral coefficients to output the audio signal.

10152673

14900177

1. A computer implemented method for recurrent data processing, comprising the steps of: computing activity of multiple layers of hidden layer nodes in a feed forward neural network, given an input data instance, forming memories of hidden layer activities, utilizing clustering and filtering methods, as a training phase in a recurrent processing, finding memories that are closest to a presented test data instance according to a class decision of the feedforward network, and imputing the test data hidden layer activity with computed closest memories in an iterative fashion, wherein the step of forming memories of hidden layer activities, utilizing clustering and filtering methods, as a training phase in a recurrent processing further comprises the substeps of: computing hidden layer activities of every training data instance, then low-pass filtering and stacking the hidden layer activities in a data structure; keeping a first and second hidden layer activity memory, indexed by class label; forming both class specific and class independent cluster centers as quantized memories of the training data's second hidden layer activity, via k-means clustering, using each class data separately or using all the data together depending on a choice of class specificity; keeping quantized second hidden layer memories, indexed by class labels or non-indexed, depending on the class specificity choice; training a cascade of classifiers for enabling multiple hypotheses generation of a network, via utilizing a subset of the input data as the training data; and keeping a classifier memory, indexed with the set of data used during training; wherein the step of finding memories that are closest to the presented test data instance according to the class decision of the feed forward network, and imputing the test data hidden layer activity with computed closest memories in an iterative fashion further comprises the substeps of: determining first, second and third class label choices of the neural network as multiple hypotheses, via a cascaded procedure utilizing a sequence of classifier decisions; computing a set of candidate samples for the second layer, that are closest Euclidian distance hidden layer memories to the test data's second hidden layer activity, using the multiple hypotheses class decisions of the network and a corresponding memory database then assigning the second hidden layer sample as one of the candidate hidden layer memories, via max or averaging operations depending on a choice of multi-hypotheses competition; merging the second hidden layer sample with the test data's second hidden layer activity via weighted averaging operation, creating an updated second hidden layer activity; using the updated second hidden layer activity to compute the closest Euclidian distance first hidden layer memory, and assigning as the first hidden layer sample, merging the first hidden layer sample with the test data first hidden layer activity via weighted averaging operation, creating an updated first hidden layer activity; computing the feedforward second hidden layer activity from updated first hidden layer activity, and merging this feed-forward second hidden layer activity with updated second hidden layer activity, via weighted averaging operation; and repeating these steps for multiple iterations starting from the step of determining the first, second and third class label choices of the neural network as multiple hypotheses, via a cascaded procedure utilizing a sequence of classifier decisions, and using the output of step of computing the feedforward second hidden layer activity from updated first hidden layer activity, and merging this feed forward second hidden layer activity with updated second hidden layer activity, via weighted averaging operation in the beginning of the next iteration.

20090048704

11840749

1. A computer-implemented process of tracking mail during postal handling at a postal processing facility, comprising: initially sorting an incoming stream of mail on an automated sorting machine to a series of pockets based on a sort scheme; during sorting, introducing RFID-tagged, machine-sortable markers into the incoming mail stream at intervals and sorting the RFID-tagged markers with the mail into pockets of the sorter; sweeping the mail and RFID-tagged markers from the pockets into trays, wherein the markers are introduced such that at least one marker is swept to each of a set of trays containing the sorted mail; transporting the trays containing the mail and RFID-tagged markers from the automated sorting machine; and during a postal operation subsequent to the initial sorting, scanning one or more of the RFID-tagged markers; and identifying mail from the initial sorting from the scanned RFID-tagged markers.

20130300919

13855501

1. An imaging apparatus for a portable wireless device having a built-in camera, comprising: a releasable optical assembly, comprising: a housing; the housing comprising an attachment surface for releasably coupling the releasable optical assembly to the portable wireless device; and an optical transmission element; wherein the optical transmission element is configured to enhance an image taken by the built-in camera prior to the image being received the portable wireless device.

9007435

13109310

1. A method to enhance a two-dimensional (2D) image, comprising: performing spatial filtering on the 2D image to generate an edge map; generating a weighted depth map based on a probability distribution of edges in the edge map; applying a weighted low-pass filter to the weighted depth map to generate an estimated depth map; filtering the estimated depth map using a cross-bilateral filter to generate a depth map, wherein the depth map can be used to convert the 2D image to a three-dimensional (3D) image; and enhancing contrast of the 2D image by applying a high-pass filter to a first contrast value of a pixel in the 2D image to generate a second contrast value, and applying a depth value from the depth map and associated with the pixel to the second contrast value.

20140286476

13848412

1. A system, comprising: an x-ray source, configured to generate high-energy x-ray photons; an x-ray scintillator, configured to receive the high-energy x-ray photons from the source and convert the high-energy x-ray photons into a plurality of light photons; a plurality of image acquisition devices, each image acquisition device of the plurality of image acquisition devices being configured to generate a plurality of x-ray images of a moving object crossing between the x-ray source and the x-ray converter, at a high rate of speed from the plurality of light photons produced by the x-ray converter; and a central control circuit configured to synchronize the plurality of x-ray images captured by the plurality of image acquisition devices into a set of synchronized x-ray images.

20140044350

13745252

1. An image processing apparatus comprising: an extraction unit that extracts a local color displacement, the local color displacement being a local displacement of color in a region of interest in a given image; and a calculation unit that calculates a similarity between the local color displacement and an extracted-color displacement, the extracted-color displacement being a displacement of a preset color.

20080243731

12046061

1. A method for training a support vector machine plus (SVM+) using sequential maximization, comprising: selecting a working set of two indexes for a target function to create a quadratic function depending on a number of variables; reducing the number of variables to two variables in the quadratic function using linear constraints; computing an extreme point for the quadratic function in closed form; defining a two-dimensional set where the indexes determine whether a data point is in the two-dimensional set or not; determining whether the extreme point belongs to the two-dimensional set wherein: if the extreme point belongs to the two-dimensional set, the extreme point defines a maximum and the extreme point defines a new set of parameters for a next iteration, and otherwise, restricting the quadratic function on at least one boundary of the two-dimensional set to create a one-dimensional quadratic function; and repeating the steps until the maximum is determined.

20130321247

13984621

1. A display device in which pixels are arranged in a matrix pattern, the display device being capable of displaying a stereoscopic image by displaying an image for the right eye and an image for the left eye on the pixels, wherein, in a case where the pixels on which the image for the right eye is displayed are defined as pixels for the right eye and the pixels on which the image for the left eye is displayed are defined as pixels for the left eye, achromatic pixels for displaying an achromatic color are disposed between at least some of the pixels for the right eye and at least some of the pixels for the left eye.

20020140843

09825739

1. A method for classifying blocks of data comprising the steps of: capturing a block of non-textual data using a recording device for which settings for data-capture attributes are indicative of characteristics of said non-textual data; linking meta-data with said block of non-textual data, said meta-data corresponding to at least one said data-capture attribute during said capture by said recording device; and performing automated processing to assign description to contents of said block, including utilizing said meta-data in determining said description.

20140225870

14169551

1. A projection system, comprising: a projection unit configured to project a projected image on a surface for projection; an image capturing unit configured to capture an image-capturing area representing an area in which images are capturable and generate a captured image; an operation detection unit configured to detect any user operation on an operation target image representing a targeted image for the user operation by using the captured image; an image-capturing area coordinates calculation unit configured to calculate image-capturing area coordinates for specifying a position of the image-capturing area in the projected image based on the captured image and the projected image when any user operation is detected for the operation target image; a position determination unit configured to determine a position of the operation target image in the projected image based on the image-capturing area coordinates; a projected image generating unit configured to generate a projected image in which the operation target image is laid out on the determined position; and a projection control unit configured to control the projection unit to project the projected image.

7783474

11069203

1. A method in a computer system for adding phrase pronunciations to a language model, the method comprising steps of: receiving at least one phrase to be added to the language model, the at least one phrase comprising a first phrase, the first phrase comprising a plurality of tokens including a first token; generating, using the computer system, a phrase pronunciation for the first phrase comprising a token pronunciation for the first token in the first phrase, wherein generating the phrase pronunciation for the first phrase comprises determining if the first token is represented in a pron component list, and, if so, selecting as the token pronunciation for the first token in the first phrase a component pronunciation from the pron component list, wherein the pron component list comprises a list of one or more component pronunciations for at least the first token as pronounced in one or more phrases, wherein the list of one or more component pronunciations is different from any list of one or more language model pronunciations in the language model for the first token; and adding the phrase pronunciation for the first phrase to the language model; wherein the step of generating the phrase pronunciation for the first phrase further comprises; if the first token is not represented in the pron component list, determining if the first token is represented in the language model, and, if so, selecting a language model pronunciation from the language model as the token pronunciation for the first token in the first phrase.

20060158523

11300818

1. A method of digital camera operation, comprising: (a) capturing a plurality of images, I 1 , I 2 ,. .. , I N , of a scene where N is an integer greater than 1 and image I n has an integration time of T n for n=1, 2,. .. , N; (b) capturing an image I long of said scene with an integration time T long where T long is greater than or equal to 5T n for n=1, 2,. .. , N. (c) using said plurality of images to estimate motion occurring said capturing of I long ; and (d) using said estimated motion to deblur I long .

8417779

12686294

1. An apparatus that interacts with a handheld carrier device hosting media content, comprising: a non-handheld base computing unit configured to support a media activity; a user interface, coupled with the non-handheld base computing unit, where the user interface enables a user to control operation of the media activity being supported by the non-handheld base computing unit; at least one sensor; and control logic coupled with the at least one sensor and the non-handheld computing unit, the control logic being configured to: detect a proximity of the handheld carrier device to the non-handheld base station; when the proximity exceeds a proximity threshold of the handheld carrier device, recognize the media activity and media content actively hosted by the handheld carrier device; and integrate at least a portion of the media content from the handheld carrier device into the operation of the media activity based upon the recognized media activity and the recognized media content.

20160142769

15003378

1. A method, comprising: executing, on a client device in communication with a remoting server, an image enhancement application, the image enhancement application configured to perform image enhancement techniques including: predicting a frame based on previously received frames; interpolating a frame based on at least two buffered frames; and reducing appearance of artifacts in a received frame; the image enhancement application further configured to: monitor a sequence of frame updates for a display screen received at the client device from the remoting server; observe the available network bandwidth, frame refresh rate, and image quality corresponding to the received sequence of frame updates; and select one or more image enhancement techniques to apply based on the observed network bandwidth, frame refresh rate, and/or image quality being sufficiently low.

20100002074

12418706

1. A method for reducing a resolution of an input image, comprising the steps of showing with the input image a three-dimensional scene that was recorded by a surveillance camera; referring to a distance between the surveillance camera and objects in the three-dimensional scene as an object distance; and adjusting a resolution reduction with consideration of the object distance in the three dimensional scene and/or a prospective distortion of the three-dimensional scene.

20150146952

14523776

1. A scatter component estimating method for estimating scatter components of radiation from data collected in a radiation tomography apparatus, the method comprising: a reconstruction processing step of performing reconstruction processing to event data obtained by detecting the radiation to capture a reconstruction image; a projecting step of projecting the reconstruction image obtained in the reconstruction processing to capture a projection image; and a scatter component extracting step of extracting low-frequency components from the projection image obtained in the projecting step to obtain scatter components.

20070127847

11565972

1. An image processing apparatus, comprising an image size adjustment section, which, in order to synthesize a plurality of image data items to create one image, divides, respectively, the number of pixels, in a vertical direction and in a horizontal direction, of input image data by the maximum value of the ratio of resolutions of the plurality of image data items configuring the synthetic image, and adjusts the image size, wherein the image size adjustment section comprises: remainder computation means for obtaining the ratio from the resolutions of the plurality of image data items, and computing a remainder by dividing, respectively, the number of pixels in the vertical direction and in the horizontal direction of the input image data by the maximum value of the ratio; and size adjusting means for adjusting, respectively, the number of pixels in the vertical direction and in the horizontal direction of the input image data, on the basis of the remainder computed by the remainder computation means, so that the remainder becomes 0.

20110067108

12386970

1. A method of classifying a data object, comprising: scanning the data object; evaluating contents of data objects base on at least one selected rule; and generating a digital DNA sequence that classifies at least some contents in the data object.

20080050109

11508379

1. A method comprising: obtaining light information from a scene with a sensor array included in an image capture device at a default target brightness; calculating brightness values of a plurality of regions in the scene based on the light information; and dynamically adjusting the default target brightness based on the brightness values of the plurality of regions in the scene and threshold values set for the sensor array to set an adjusted target brightness for the scene.

20170086039

14956931

1. A digital mobile telecommunications method using a digital telecommunications system, wherein the digital telecommunications system comprises: a telecommunications device, wherein the telecommunications device comprises a graphical display; a digital mobile telecommunications network, wherein the telecommunications device is configured for connecting to the digital mobile telecommunications network; a wired digital network, wherein the wired digital network is connected to the digital mobile telecommunications network; a content provider, wherein the wired digital network is connected to the content provider, wherein the content provider is configured for providing a message, wherein the message comprises at least a text portion; and a text classification system, wherein the text classification system is connected to the wired digital network; wherein the method comprises: sending the message to the telecommunications device by the content provider via the digital mobile telecommunications network; receiving the message by the telecommunications device via the digital mobile telecommunications network; sending the message to the text classification system by the telecommunications device via the wired digital network and the digital mobile telecommunications network; receiving the message by the text classification system via the wired digital network; creating text tokens from the text portion using a tokenizing algorithm by the text classification system; transforming the text tokens into stemmed tokens using a stemming algorithm by the text classification system; determining a word classifier for each of the stemmed tokens using a named entity recognition algorithm by the text classification system; calculating a message classification of the message using a classification algorithm by the text classification system, wherein the classification algorithm uses the stemmed tokens and the word classifier for each of the stemmed tokens as input; sending the message classification to the telecommunications device by the text classification system via the wired network and the digital mobile telecommunications network; receiving the message classification by the telecommunications device via the digital mobile telecommunications network; and displaying the message on the screen, wherein the display of the message is modified according to the classification.

10138527

15298723

1. A method for monitoring differentiation into cardiac muscle cells comprising: introducing, into cells, a reporter gene of luminescent protein configured to vary in luminescence intensity according to an expression of a myocardial differentiation marker gene, wherein the reporter gene is a cTnT gene expression specific luminescent vector, wherein the cells are stem cells or cardiac progenitor cells; keeping, in an alive state, the cells into which the reporter gene of luminescent protein were introduced; acquiring a luminescence image as a still image by imaging light emitted from the cells in a light shielding state; acquiring sequential images with illuminating the cells, the step of acquiring the sequential images comprising acquiring a bright-field image of the cells; associating biological information obtained from the sequential images with biological information obtained from the still image; conducting a motion analysis based on the bright-field image, wherein the motion analysis is conducted by use of an image correlation method; analyzing beating of the cells by the motion analysis; analyzing expression of the myocardial differentiation marker gene based on the luminescence image; and assessing a relationship between the beating and the expression.

8515169

13616592

1. An apparatus for removing red-eye in a two-dimensional (2D) image, comprising: a reference length calculating unit receiving coordinate information of an area comprising red-eye in an entire image, and determining center coordinates of the area and a reference length from the center coordinates; a pixel length calculating unit sequentially receiving each of pixels of the image, and calculating a pixel length being a distance between the each pixel and the center of the area; a section determining unit comparing the reference length with a pixel length, selecting a pixel, the pixel length of which is less than the reference length, and determining a section comprising the selected pixel among predetermined sections according to a distance from the center coordinates; and an image manipulating unit setting a brightness gain and color gain for each section, and applying the brightness gain and the color gain to correct a pixel value of the selected pixel.

9357240

12357315

1. A method, comprising: detecting, with a processor, a skip request from a viewer during presentation of a commercial at a display device in communication with the processor; selecting, by executing a first instruction with the processor, an alternate commercial for presentation to the viewer; presenting the alternate commercial via the display device; and selecting and presenting at the display device, by executing second instructions with the processor, additional alternate commercials in response to detecting subsequent skip requests until a threshold number of the commercials have been presented in their entireties, the threshold number being more than one.

20020076398

09927914

1. A method of treating a cognitive deficit associated with a central nervous system disorder or condition in an animal in need of said treatment comprising the steps of: (a) administering to said animal an augmenting agent which enhances CREB pathway function; and (b) training said animal under conditions sufficient to produce an improvement in performance by said animal of a cognitive task whose deficit is associated with said central nervous system disorder or condition, whereby said cognitive deficit is treated.

20090219021

12394826

1. A method for removing artifacts in magnetic resonance imaging, comprising the steps of: acquiring a plurality of 3D data sets of magnetic resonance data from a subject by irradiating the subject with a plurality of radio-frequency pulses that excite nuclear spins in a plurality of slabs in the subject, each 3D data set being comprised of a plurality of 2D data sets, each of said 3D data sets comprising 2D data sets respectively acquired from slabs in the subject that do not overlap with slabs for 2D data sets in others of said 3D data sets, and containing 2D data sets from slabs that overlap slabs for which said 2D data sets are acquired in others of said 3D data sets; for each of said overlapped slabs, forming a weighted sum of all of the 2D data sets acquired therefrom, to obtain weighted sum data, and implementing a maximum intensity projection of all of said 2D data sets therefrom, to obtain maximum intensity projection data, and superimposing said weighted sum data and said maximum intensity projection data to generate generated 2D data for that overlapped slab; and implementing a maximum intensity projection of the 3D data sets using the respective 2D data sets acquired from non-overlapped slabs in the respective 3D data sets and the generated 2D data for each overlapped slab, to generate final maximum intensity projection data, and making said final maximum intensity projection data available in a form allowing reconstruction of a magnetic resonance image of the subject therefrom.

20070011108

11417887

1. A decision support system, comprising: a plurality of disparate data sources, each of the data sources configured to provide data comprising time and event information; and an electronic device configured to receive data from each of the data sources and to store the received data in a two or more dimensional database, the electronic device further configured to analyze the time and event information so as to provide at least one recommended action and outcome information for the recommended action.

20160044251

14417551

1. A camera assembly comprising: one or more lenses to transmit light from a scene; and an image sensor to simultaneously capture a plurality of sub-images of the scene via the one or more lenses, the plurality of sub-images including a first sub-image and a second sub-image; wherein a processing element is to process the sub-images sensed by the image sensor, the processing of the sub-images includes combining at least the first sub-image and the second sub-image to generate a combined image of the scene.

20100020078

12522172

1. A method for mapping an object, comprising: illuminating the object with at least two beams of radiation having different beam characteristics; capturing at least one image of the object under illumination with each of the at least two beams; processing the at least one image to detect local differences in an intensity of the illumination cast on the object by the at least two beams; and analyzing the local differences in order to generate a three-dimensional (3D) map of the object.

20030083885

10281694

1. A method for transcribing dictations, in which a dictation file ( 5 ) is converted into a text file ( 8 ) with text passages (W(n)), and in which the text file ( 8 ) is compared with the dictation file ( 5 ), in which during the conversion to converted text passages (W(n)) a respective confidence value is generated, and in which the comparison of the text file ( 8 ) with the dictation file ( 5 ) takes place only in the case of those text passages (W(n)) for which the confidence value is below a confidence limit (C G ), i.e. where possibly defective text passages (W(n)) are present.

20050050486

10647687

1. A method for utilizing fast analysis information during detailed analysis of a circuit design, comprising: electronically analyzing one or more design blocks of the circuit design to determine fast analysis results based upon one or more assumptions of ported signal nets of each one of the design blocks; determining whether hierarchical signal net connectivity of block instances of the design blocks matches the assumptions; if the hierarchical signal net connectivity matches the assumptions, utilizing the fast analysis results to generate detailed analysis results; and if the hierarchical signal net connectivity does not match the assumptions, electronically analyzing the one or more blocks to generate detailed analysis results.

20060108524

11260082

1. A dimension measuring scanning electron microscope system comprising: an input means for entering design pattern data on a mask pattern designed by taking into consideration optical proximity effect and to be formed on a photomask; a SEM image forming means for forming a SEM image of a resist pattern formed by exposing a resist film formed on a surface of a substrate through the photomask provided with the mask pattern formed by taking into consideration optical proximity effect to exposure radiation; a simulating means for determining a simulated circuit pattern that is expected to be formed on a substrate through simulation using the mask pattern defined by the design pattern data entered by the input means; a superposing means for superposing the SEM image of the resist pattern formed by the SEM image forming means and the simulated circuit pattern formed by the simulating means; geometrical feature extracting means for extracting one- or two-dimensional geometrical features indicating differences between the SEM image and an image of the simulated circuit pattern superposed on the SEM image; and an evaluating index calculating means for calculating evaluation indices for evaluating the correction of the optical proximity effect of the mask pattern formed on the photomask by taking into consideration the optical proximity effect by using information about the one- or two-dimensional geometrical features provided by the feature extracting means.

7929803

11794075

1. An image registration method implemented by an image analysis apparatus for determining a registration vector between two selected images of a group of at least three related images, the method comprising; a. determining a set of registration vectors, each being between a respective pair of images in the group; b. determining, from the set of registration vectors, at least one composite registration vector leading from one selected image to the other selected image via at least one image other than the selected images; c. determining an optimized registration vector, being the average of a plurality of registration vectors selected from: i. the registration vector between the selected images ii. the at least one composite registration vector.

9113096

14319501

1. A device, comprising: an image sensor having a front side and a back side, the back side being opposite the front side, with the image sensor configured to be illuminated from the front side and configured to be illuminated from the back side; a first lens exposed to an exterior of the device to transmit incident light from the exterior of the device to the front side of the image sensor; a second lens exposed to the exterior of the device to transmit incident light from the exterior of the device to the back side of the image sensor, the second lens arranged in a same plane as the first lens; a first filter array comprising a first plurality of filter elements disposed between the first lens and the front side of the image sensor, and arranged to transmit light to the image sensor, the first plurality of filter elements comprising first filter elements and second filter elements; a second filter array comprising a second plurality of filter elements disposed between the second lens and the back side of the image sensor, and arranged to transmit light to the image sensor, the second plurality of filter elements comprising the first filter elements and the second filter elements; and a controller configured to: read composite image data from the image sensor resulting from exposing the image sensor to light on the front side and the back side at a same time; extract first image data from the composite image data, comprising image data resulting from the exposing the front side of the image sensor; and extract second image data from the composite image data, comprising image data resulting from the exposing the back side of the image sensor, wherein the first image data and the second image data correspond to different perspectives of a same scene.

9140538

13813380

1. An optical tomographic imaging system configured to split light emitted from a wavelength sweep light source into measuring light and reference light, configured to radiate the measuring light onto a measuring subject, configured to combine reflection light from the measuring subject with the reference light, configured to detect interfered light obtained by combining the reflection light with the reference light as an interference signal, and configured to Fourier-transform the interference signal to acquire a tomographic image of the measuring subject, the optical tomographic imaging system comprising: a tomographic data generating unit configured to generate tomographic data of the measuring subject based on the interference signal; a surface data generating unit configured to carry out processing in parallel with the tomographic data generating unit and configured to generate surface data of the measuring subject based on the interference signal; a tomographic image constructing unit configured to construct a tomographic image that is based on the tomographic data generated by the tomographic data generating unit; a surface image constructing unit configured to construct a surface image that is based on the surface data generated by the surface data generating unit; a display image generating unit configured to generate a display image from the tomographic image and the surface image; and a frame thinning unit configured to carry out thinning processing on the interference signal on a frame-by-frame basis so that the interference signal is outputted at a frame rate equal to or less than a frame rate of a monitor device on which the tomographic image and the surface image are displayed, wherein the interference signal subjected to the thinning processing by the frame thinning unit is inputted to the tomographic data generating unit.

8913812

13693233

1. A medical image processing apparatus comprising: an image acquiring unit configured to acquire a three-dimensional medical image; a vascular region extracting unit configured to extract a vascular region based on the three-dimensional medical image acquired by the image acquiring unit; a vascular shape image generating unit configured to generate an image of a vascular shape of the vascular region extracted by the vascular region extracting unit; a perfusion analyzing unit configured to perform perfusion analysis on the three-dimensional medical image acquired by the image acquiring unit so as to obtain a perfusion value indicating a blood circulation condition in tissue around the vascular region; a perfusion image generating unit configured to generate an image indicating the perfusion value obtained by the perfusion analyzing unit; an image composition unit configured to generate a vascular shape perfusion composition image in which an image generated by the vascular shape image generating unit of the vascular shape in a contraction portion in a blood vessel corresponding to the vascular region is combined with the image indicating the perfusion value generated by the perfusion image generating unit; and a display unit configured to display the vascular shape perfusion composition image combined by the image composition unit.

9113811

12464472

1. An image processing apparatus, comprising: a processing circuit configured to acquire three-dimensional histology information about tissue inside a subject and three-dimensional fluid information about fluid moving inside the subject, both of which are created based on a reflection wave of an ultrasonic wave transmitted to an inside of the subject, create three-dimensional particle information by removing an area in which the fluid is present in the three-dimensional fluid information at designated spatial intervals in order to replace a portion of flow data within the three-dimensional fluid information with a plurality of scattered, sparsely-distributed particles in three dimensions, each particle being represented by a graphical symbol having a predetermined shape, create a composite image based on the created three-dimensional particle information and the three-dimensional histology information, and control display of the composite image so that the composite image is displayed on a predetermined display.

8646692

13250282

1. A device for obtaining images, said device comprising: an imaging subsystem comprising an image sensor array and an imaging assembly operative for focusing an image onto said image sensor array; a housing incorporating said imaging subsystem; wherein said device is configured to acquire a first plurality of images based on a first control parameter in which said first control parameter for a subsequent image of said first plurality of images is adjusted based on a prior image of said first plurality of images, configured to acquire a second plurality of images based on a second control parameter different from said first control parameter in which said second control parameter for a subsequent image of said second plurality of images is adjusted based on a prior image of said second plurality of images, and configured to acquire said first adjusted plurality of images interspersed with said second differently adjusted plurality of images.

20090228474

12263382

1. A system capable of allowing an analyst to analyze event streams of a user session and graphically display a result, the system comprising: a log file configured to interface to one or more log sessions from a user-generated event stream; a query composer comprising a query language and a front-end filter coupled to the log file, the query composer configured to provide one or more conditions to sort the event stream; and a graph visualizer coupled to the query composer and configured to produce a probability distribution of event nodes from a given node in the event stream.

10130266

14704233

1. A method for predicting a post-stenting hemodynamic metric for a coronary artery stenosis from pre-stenting medical image data, comprising: extracting a pre-stenting patient-specific anatomical model of the coronary arteries from medical image data of a patient; directly modifying one or more parameters of a pressure-drop model that computes a pressure-drop over a target stenosis region in the pre-stenting anatomical model of the coronary arteries without modifying the pre-stenting patient-specific anatomical model of the coronary arteries, resulting in a modified pressure-drop model that simulates an effect of stenting on the target stenosis region; simulating blood flow in the pre-stenting patient-specific anatomical model of the coronary arteries with the modified pressure-drop model used for computing the pressure-drop over the target stenosis region in the pre-stenting patient-specific anatomical model of the coronary arteries, wherein the modified pressure-drop model simulates the effect of stenting on the target stenosis region; and calculating a predicted post-stenting hemodynamic metric for the target stenosis region based on the pressure-drop over the target stenosis region computed using the modified pressure-drop model.

20130259330

13851015

1. A method of comparing biometric image data to a stored enrollment template comprising: collecting a set of biometric object image data for a biometric object image from a biometric object imaging sensor; storing the biometric object image data in a memory as an enrollment template for further comparison to find a match with subsequently imaged biometric object image data; collecting a subsequent set of biometric object image data for a biometric object image from the biometric object imaging sensor; updating the enrollment template; determining if a limited enrollment window remains open; and repeating the collecting of a subsequent set of biometric object image data step and the updating step if the limited enrollment window remains open, wherein the biometric object imaging sensor is incorporated into a user authentication apparatus providing user authentication for controlling access to one of an electronic user device or an electronically provided service.

8611659

13090857

1. A method comprising: creating a set of item-only images from a set of images of an item and a first background; after creating the set of item-only images, receiving an item request from a user; after receiving the item request, and in response to the item request: automatically selecting the set of item-only images including a plurality of perspective views of the item that satisfies the item request from a library of item-only images of items; combining a second background image with at least one automatically selected item-only image from the set of item-only images using the image processor, thereby generating a repurposed image of the item for presentation in response to the item request; and presenting the repurposed image to the user.

20070233730

11268673

1. A method for facilitating user interaction with customer relationship management software using conjoint analysis, the method comprising: (a) performing a conjoint analysis using data obtained from a user; and (b) using results from the conjoint analysis to drive a customer relationship management software application.

20060067589

11236790

1. A software carrier having stored thereon an image, the image comprising an irregularly-shaped modified blotch, the modified blotch having color that is similar to, but different from, color of a neighboring area, such that the difference defines a border between the modified blotch and the neighboring area.

20140098639

13896792

1. A computer-implemented method for identifying dominant fracture orientations in a subterranean zone, the method comprising: determining a basic plane orientation for each of a plurality of basic planes defined by microseismic event data, the microseismic event data associated with a fracture treatment of a subterranean zone, the basic planes defined by coplanar subsets of microseismic events; calculating, by data processing apparatus, the quantity of the basic plane orientations in each of a plurality of orientation ranges; and identifying a dominant fracture orientation for the subterranean zone based on one or more of the identified quantities.

8723938

12662132

1. A method of determining a target brightness value of a target area for an immunoassay apparatus, the method comprising: photographing, with a camera, a subject comprising a surrounding area and the target area to provide an image of the subject to an image sensor of the camera; converting the image to an electrical signal at the image sensor; determining a second-order approximate equation y=ax 2 with x denoting a position value within the subject, y denoting a brightness value depending on x, and ‘a’ denoting a coefficient such that y=ax 2 approximates a light intensity difference that is caused by uneven illumination and/or lens curvature; determining a difference between y and a brightness value of zero point (origin point); correcting y using the difference; determining the target brightness value of the target area according to x and a corrected brightness value y′ given by correcting y, setting, as an origin point (0, 0) of y=ax 2 , according to the maximum or minimum brightness value of the surrounding area.

8542893

12705672

1. A non-transitory computer readable storage medium having stored thereon a computer program comprising instructions, which, when executed by a computer, cause the computer to: acquire a set of image data comprising a plurality of image voxels; isolate a set of pulmonary emboli candidates from the plurality of image voxels, the set of pulmonary emboli candidates comprising a subset of the plurality of image voxels; apply a non-linear contrast enhancement to the subset of the plurality of image voxels comprising the set of pulmonary emboli candidates; assign pairs of contrast values to the set of pulmonary emboli candidates, wherein a first contrast value of a respective pair of contrast values corresponds to the non-linear contrast enhancement and a second contrast value of a respective pair of contrast values corresponds to a gray scale range of the initial set of image data; apply a first filter to the set of pulmonary emboli candidates based on the first contrast values to generate a filtered set of pulmonary emboli candidates; apply a second filter to the filtered set of pulmonary emboli candidates to generate a final set of pulmonary emboli candidates, wherein applying the second filter comprises removing pulmonary emboli candidates having second contrast values outside the gray scale range; output the final set of pulmonary emboli candidates; and create an image visually depicting the final set of pulmonary emboli candidates.

20110188778

12852851

1. A method for selecting a seam between two overlapping images of an area of interest and for combining the two overlapping images into one image, the images defining an overlapping region, the method including: performing a generating procedure for generating a difference value associated with each portion of the overlapping region, wherein the difference value associated with a portion is derived from the difference between at least one property of the portion in the two images; and performing a selecting procedure for selecting, through the overlapping region, a path between two points located at the edge of the overlapping region based on the sum of the difference values of the portions along the path, wherein the path is the seam; performing a combining procedure including combining and blending the images along the seam, wherein the same difference values associated with the portions of the overlapping region are used for selecting the path and for deciding whether a portion is to be blended.

20060165284

11273187

1. A method of analyzing an image, comprising establishing a weighting coefficient for each pixel in the image using a conjugate norm in the form ∥•∥ Q T Q or in the form ∥•∥ Q T Λ Q.

20140184912

13998719

1. A video detection method comprising: providing first and second video windows, wherein the first video window overlaps the second video window; and using horizontal and vertical continuous edges within an overlap video region to create separations between the first and second video windows.

8870327

13402191

1. A three-dimensional printing device comprising: an image extractor that extracts selectively designated section from an image to be printed; an image converter that converts the designated section extracted by the image extractor into an image with a color having a higher thermal energy absorbency than section other than the designated section; a converted image printer that prints the converted image converted by the image converter onto a foaming layer surface of a thermal expansion sheet; a sheet surface raiser that applies thermal energy to the thermal expansion sheet on which the converted image is printed by the converted image printer, and causes the printed section of the converted image to expand and rise; a background color printer that prints a prescribed color that is a background color on the surface of the foaming layer surface of the thermal expansion sheet containing section raised by the sheet surface raiser; and an image printer that prints the image to be printed on the surface on which the prescribed color was printed by the background color printer.

8423517

13022551

1. A computer-implemented method for determining an age of an object, comprising: at a computer system including one or more processors and memory storing one or more programs for execution by the one or more processors: identifying a first index for a timestamp entry in a sequence of timestamps corresponding to a time at which an object was created, wherein the sequence of timestamps is generated by periodically storing a current timestamp reported by a clock of the computer system into the sequence of timestamps; identifying at least one subsequence of timestamps from the sequence of timestamps having indexes for entries in the sequence of timestamps that are between the first index in the sequence of timestamps and a last index for a last timestamp entry in the sequence of timestamps, wherein the at least one subsequence of timestamps conforms to a function of a time interval between storage of consecutive current timestamps reported by clock of the computer system, wherein identifying the at least one subsequence of timestamps from the sequence of timestamps includes: identifying a longest increasing subsequence of timestamps having indexes for timestamp entries that are between the first index in the sequence of timestamps and the last index for the last timestamp entry in the sequence of timestamps; and identifying a plurality of consecutive sequences of timestamps from the longest increasing subsequence of timestamps, wherein a respective consecutive sequence of timestamps includes at least a predetermined number of timestamps, and wherein the time interval between consecutive timestamps in the respective consecutive sequence of timestamps is less than a predetermined factor of the time interval between storage of consecutive current timestamps reported by the clock of the computer system; and determining an age of the object based on the at least one subsequence of timestamps.

7747551

11679135

1. A method of classification of a subject's neurological condition, the method comprising: identifying at least one class associated with an identified neurological condition; introducing an other class, the other class not being associated with an identified neurological condition; classifying a feature vector from a subject into an identified class or the other class; and generating a signal in response to classifying the feature vector.

20100074524

12236257

1. A method, comprising: receiving a portion of text from a document; associating a document type with the document based on at least one of the portion of text or an identifier associated with the document; and selecting, based on the document type, a document template having a plurality of sections, each section from the plurality of sections being associated with a document category, at least one section from the plurality of sections being associated with at least one policy preference.

9760181

14564762

1. A method for recognizing a gesture by using a sensor, the method comprising: recognizing a plurality of sensor values for a hand gesture in a plurality of sensors having a different operational range; determining a depth level indicating a distance between a hand and a surface of an apparatus based on the sensor values; generating a control value by combining the sensor values; and executing a function corresponding to the control value and the depth level in response to the recognized hand gesture, wherein recognizing sensor values for the hand gesture comprises: recognizing a form of the hand using a first sensor among the plurality of sensors, determining the depth level of the recognized hand using a second sensor among the plurality of sensors, and determining a movement of the recognized hand using a third sensor among the plurality of sensors, and wherein the generating of the control value comprises: generating a first combination value by combining one of an absolute value of each sensor of the plurality of sensors and a relative value of each sensor of the plurality of sensors, with respect to a same type of the sensor values, generating a second combination value by updating the sensor values and combining the updated sensor values with respect to a different type of the sensor values, and generating the control value by combining the first combination value and the second combination value.

20140056472

13777928

1. A method for identifying a location of a hand of a person, comprising: identifying a group of pixels in an image of a scene as representing the person; setting a reference point for the group of pixels identified as representing the person; identifying a local distance maximum from the reference point within the group of pixels identified as representing the person; and outputting an indication of the location of the hand of the person based on the identified local distance maximum.

9864744

14559540

1. A method, performed by a computing device, for mining translation pairs for training in-domain machine translation engines, comprising: obtaining one or more sources of potential translation pairs comprising one or more content items, wherein the one or more sources of potential translation pairs are in an identified domain for which a machine translation engine is to be trained; generating one or more potential translation pairs from the obtained one or more sources of potential translation pairs by applying one or more automated filtering techniques to the obtained one or more sources of potential translation pairs, wherein one of the one or more automated filtering techniques applied to a selected obtained source of potential translation pairs is configured based on a type of the selected obtained source of potential translation pairs, and wherein each of the one or more potential translation pairs comprises at least two language snippets; selecting at least one actual translation pair from the generated one or more potential translation pairs, said selecting comprising: extracting characteristics from each of the two language snippets of at least one of the one or more potential translation pairs; determining that the two language snippets of the at least one of the one or more potential translation pairs are translations of each other by comparing the extracted characteristics; and training the machine translation engine using the selected at least one actual translation pair.

9489722

15100593

1. A method for implementing image denoising, comprising: calculating an abscissa gradient value and an ordinate gradient value of each pixel of an image; calculating a tangent value of each pixel by using a structure tensor and according to the abscissa gradient value and the ordinate gradient value of each pixel; determining whether a modulus value of the tangent value of each pixel is less than a preset threshold, when the modulus value of the tangent value of each pixel is less than the preset threshold, determining a corresponding pixel as a non-boundary point of the image, when the modulus value of the tangent value of each pixel is more than or equal to the preset threshold, determining a corresponding pixel as a boundary point of the image; and performing bilateral filter on a pixel determined as a non-boundary point of the image and pixels which are around the pixel and of which distances to the pixel are less than or equal to a first filtering radius, and performing bilateral filter on a pixel determined as a boundary point of the image and pixels whose distances to the pixel along tangent directions and opposite directions of the tangent directions are less than or equal to a second filtering radius.

9262805

14123227

1. A method for processing an image in Bayer format using an image processing device, the method comprising: performing a binning process in a horizontal and/or vertical direction on an image which is to be processed, so that an arrangement mode of pixels in a processed image after binning is the same with that in the image to be processed, wherein the binning process comprises: determining a position of an output pixel; determining whether a pixel in the image to be processed, which has the same position as the output pixel, has a color component that is the same or different than that of the output pixel; selecting, from the image to be processed, a plurality of pixels which have the same color component with that of the output pixel based at least in part on whether the color component of the pixel is the same or different than that of the output pixel; and calculating a weighted average of the plurality of pixels, so as to obtain a pixel value of the output pixel, wherein the plurality of pixels are selected from particular positions, so that the weighted average of the plurality of pixels can be calculated for processing the image in Bayer format.

20090046909

12193666

1. A method for creating an image of at least a portion of a three-dimensional biological specimen, said method comprising the steps of: a) obtaining a stack of images said stack comprising a plurality of slices of said portion of said specimen, each of said plurality of slices comprising an image of said specimen obtained from a different focal distance, each of said slices comprising a plurality of pixels; b) performing an erosion on said plurality of slices; c) performing at least one of a closing and a dilation on said plurality of slices; d) calculating the sharpness values of said plurality of pixels in said plurality of slices in said stack; and e) comparing the sharpness values for pixels in specific locations on the second slice in a stack and all slices obtained after said second slice with pixels corresponding to said locations in slices whose sharpness values have been previously calculated.

8345098

12049436

1. A method of generating a view for presentation on a video display comprising: receiving a primary set of video data from a first video camera, wherein the first video camera is located on a first participant, and the first participant is coupled to a communication network; receiving user input designating an object to be excluded from the view presented on the video display; receiving a secondary set of video data from a video camera other than the first video camera, wherein the video camera other than the first video camera is located on a second participant, and the second participant is coupled to the communication network; associating data elements in said received secondary set of video data with data elements in said primary set of video data representing an object designated to be excluded from the view presented on the video display, wherein the associated data elements relate to an image of what is in front of the object designated to be excluded; generating a set of video data comprising video data from said primary set and said associated data elements in said received secondary set; and displaying the generated set of video data on the video display, wherein the first participant and the second participant are configured to exchange data over the communication network.

20120176547

13496479

1. Method for processing an image from a video for a display device, wherein the method comprises a step of application of a plurality luminous intensity weighting coefficients to pixels of at least one part of the image in a way to conserve a maximum luminous intensity in at least one region of said at least one part of the image and to attenuate the luminous intensity in the rest of said at least one part of the image, said plurality luminous intensity weighting coefficients resulting from the spatial interleaving, according to a determined interleaving model, of a first set of weighting coefficients generated from a first attenuation function and at least one second set of weighting coefficients generated from at least one second attenuation function.

9449342

13283416

1. A method comprising: receiving, from a client device, environment image data containing an image of an environment captured by the client device; receiving a selection of an item that is under consideration for purchase and placement into an indicated location of the image of the environment; determining a distance to the indicated location in the image of the environment, the distance being from a point of view of the client device that captured the image of the environment; in response to receiving the selection of the item, scaling an item image of the selected item based on dimensions and the distance determined from the environment image data for the environment; augmenting, using at least one processor of an application server, the scaled item image into the image of the environment at the indicated location to generate an augmented reality image; providing the augmented reality image to a display device of a user, the scaled item image in the augmented reality image being selectable to cause display of additional information; receiving a selection of the scaled item image in the augmented reality image; and in response to the receiving the selection of the scaled item image, causing, by the application server, presentation of the additional information.

20130321443

13619430

1. A method, comprising: performing, by a computing device: for a portion of map data including a feature of a given feature type: specifying, for the feature, a level-of-detail texture from among a plurality of level-of-detail textures for the given feature type, and wherein said plurality of level-of-detail textures has an order according to level-of-detail; and rendering the portion of map data, wherein said rendering comprises: providing, to a rendering unit, the specified level-of-detail texture with a mipmap chain for the specified level-of-detail texture; wherein the mipmap chain for the specified level-of-detail texture comprises a portion of another one of the plurality of level-of-detail textures adjacent to the specified level-of-detail texture in said order.

20060155703

11032814

1. A method for identifying a table of contents in a document, the method comprising: deriving an ordered sequence of text fragments from the document; defining links between pairs of text fragments satisfying a textual similarity criterion, each link including a source text fragment and a target text fragment; selecting from amongst the ordered sequence of text fragments a table of contents including a contiguous sub-sequence of the ordered sequence of text fragments, text fragments of the table of contents defining entries each having an optimized target text fragment selected from links that include the entry as the source text fragment, the selected table of contents being optimized with respect to criteria including at least (i) providing an ascending ordering for the optimized target text fragments, and (ii) providing that no entry has an optimized target text fragment that is included in the selected table of contents.

9798775

14598734

1. A histogram forecasting method comprising: determining, by a computer processor of a database system, that a plurality of database table statistics and historical statistical histograms associated with specified subject matter have been previously retrieved; retrieving, by said computer processor from a historical statistical histogram database, said plurality of database table statistics and said historical statistical histograms associated with said specified subject matter; determining, by said computer processor, that said historical statistical histograms comprise frequency based histograms; identifying, by said computer processor, historical target values associated with said historical statistical histograms; forecasting, by said computer processor, new target values associated with said historical target values; forecasting, by said computer processor, a value identifying a number of occurrences for identified target values comprising said new target values and said historical target values; storing, by said computer processor within said database system, database table histograms comprising said identified target values; and executing, by said computer processor based on said database table histograms comprising said identified target values, a database partition scan providing accurate feedback to a data mining algorithm being executed for allocating optimized storage space of said database system with respect to partitions of said database system.

9405838

14446991

1. A method comprising: determining, by a processing device, a first user device state of a user device, the first user device state defining an action currently being performed on the user device and one or more observations corresponding to the user device; inputting, by the processing device, the first user device state to a model that receives a user device state and outputs probability values associated with one or more clusters, each cluster being indicative of one or more items of interest corresponding to the user device; determining, by the processing device, an active persona of the user device based on the output of the model, the active persona being indicative of a predicted objective of a user of the user device; and performing, by the processing device, a procedure using the active persona of the user device.

20120089388

13270934

1. A method performed by data processing apparatus, the method comprising: receiving a plurality of tokens, the plurality of tokens comprising a first n-gram, and the first n-gram being composed of a first number of atomic units; and segmenting the plurality of tokens into one or more words based at least in part on a scaled probability of the first n-gram identifying a word, the scaled probability being determined by adjusting an initial probability of the n-gram identifying a word based at least in part on the first number of atomic units.

9288499

14735875

1. A method comprising: receiving, by a data encoder, image data to be encoded; accessing, via the data encoder, a reference data conversion function which determines a mapping between a set of reference digital code values and a set of reference levels based on contrast sensitivity of human vision; based on the receiving and the accessing, encoding, via the data encoder, the received image data into reference encoded image data; and outputting, via the data encoder, the reference encoded image data, wherein: color component values in the received image data are represented by the set of reference digital code values, the reference digital code values having a bit depth of 10 or 12 bits, at least a lowest three and a highest three reference digital code values are excluded from the mapping, the mapping is based at least in part on a functional model of: ( c 1 + c 2 ⁢ Y n 1 + c 3 ⁢ Y n ) m , and n, m, c 1 , c 2 , and c 3 are predetermined values.

9648297

13730402

1. A system for assisting a user in capturing images for generation of a three-dimensional (3D) model of a target, the system comprising: one or more processors; and memory storing instructions executable by the processor; wherein the instructions comprise: receiving current video image data from a device, the current video image data being associated with a current pose of the device; identifying 3D feature points of the current video image data and of at least one previous image, to generate at least a partial intermediate 3D motion model based on the 3D feature points, to identify two-dimensional (2D) feature points of the current video image data and of the at least one previous image, and to generate at least a partial 2D motion model based on the 2D feature points, the at least one previous image being associated with a previous pose of the device; determining a 3D information ratio based on a number of the 3D feature points and a number of the 2D feature points; assisting the user with capturing an additional image of the target based on whether the 3D information ratio is greater than or equal to a threshold; and generating a 3D model of the target based on video image data from the device.

20100067797

12618748

1. A method of estimating the orientation of digital ink, the method comprising the steps of: measuring, at a sampling rate during writing by an optically imaging pen on a surface printed with tags, the azimuth of the pen, each tag encoding data on an identity of the surface associated with a digital description of the surface and on the respective location of that tag on the surface, the digital description being stored by a computer system networked with the pen and the digital ink being generated by associating the digital description with the data encoded by the tags optically imaged by the pen during said writing; and estimating, at the computer system, the orientation of the digital ink using the measured azimuth of the pen at the sampled points.

20080131025

11565708

1. A method for creating a fused image from an image pair comprising a panchromatic image and a multi-spectral image, comprising: obtaining image data defining a first image of a panchromatic image type, said first image having a first spatial resolution and a first spectral resolution; obtaining image data defining a second image of a multi-spectral image type, said second image having a second spatial resolution lower than said first spatial resolution and a second spectral resolution higher than said first spectral resolution; concurrently calculating a point spread function for down-sampling said first image to said second spatial resolution, and a set of weights for down-sampling said second image to said first spectral resolution, said point spread function and said set of weights specifically optimized to the unique characteristics of the image pair; fusing said first image and said second image to initialize a fused image having said first spatial resolution and said second spectral resolution; using said point spread function and said set of weights to determine scaling factors for scaling radiance value of pixels defining said fused image to provide consistency with radiance value of pixels forming said first image and said second image.

7999844

10241475

1. A method of encoding a 2D video signal including a 2D video image with conversion data to assist in converting the 2D video signal to left and right eye images for stereoscopic display, comprising: adding conversion data to a video signal including a 2D video image to provide an encoded signal for transmission to a receiver, the conversion data defining displacement of respective points of the 2D video image and enabling the conversion of the video signal including the 2D video image into a left image and a right image suitable for a stereoscopic display and allowing the displacement of the respective points to be adapted at the receiver such that adaptation to the displacement varies among the respective points, each of the left image and right image being different from the 2D video image, each of the left eye image and right eye image representing the same instant in time as the 2D image.

9451893

14819889

1. A method of iterative analysis of cardiac signals comprising: sensing cardiac signals from a plurality of electrodes; generating a self-correlation function from the sensed cardiac signals, the self-correlation function having amplitudes as a function of lag depth; and determining a first estimate of cardiac rate using the self-correlation function; wherein the step of generating the self-correlation function includes: selecting a first data set from the cardiac signal having a first length, N, and a second data set from the cardiac signal having a second length approximately twice the length of the first length, wherein the second data set includes the first data set; repeatedly subtracting the first data set from the second data set at a series of lag depths from approximately zero to approximately N, to generate the self-correlation function.

8228990

12268307

1. A method of encoding intra-predictions of a current block of a current frame of a video sequence, comprising: identifying and sorting into an ordered list a select number (N) of spatially best matches to a matching template for the current block within previously coded and reconstructed blocks which neighbor the current block of video within an encoder; encoding a selector which identifies which of the templates in the ordered list provides actual least predictive error between the current block and the block associated with each template within the list of best matches; and communicating the selector for receipt during a decoding process that performs the same identifying and sorting step and then selecting for use the best match in response to said selector communicated from the encoder for completing the current block prediction.

5420937

08115515

1. A method for extracting identification data identifying a selected minutia feature from a plurality of different minutia or aberration types of a generally elongated image element of an image from a rectangular image array of pixels representing said image, and comprising the steps of: (a) scanning said image array of pixels by a digital processor to detect border pixels defining a border of said elongated element; (b) determining rectangular border coordinates of said border pixels by using said processor to determine the X-Y coordinates of the detected border pixels; (c) calculating rectangular centerline coordinates of an average centerline of said elongated element from said border coordinates by using said processor to determine the X-Y coordinates of pixels centered between opposite border pixels of said image element; (d) detecting the presence of a specific selected minutia or aberration of said elongated element from said border coordinates by using said processor to test said border coordinates to detect certain properties characteristic of each of said plurality of different minutia or aberration types; (e) using said processor to determine X-Y coordinates of the detected minutia of said element from said border coordinates; and (f) storing said minutia X-Y coordinates in a digital storage medium as identification data of said detected minutia feature of said element of said image.

20170365093

14971713

1. A method in a map server for efficiently transmitting image map data to client devices, the method comprising: receiving, from a client device, a request for map data for rendering a digital map of a certain geographic area; selecting map data for rendering the digital map; generating multiple map image layers using the selected map data, each covering the same geographic area with no overlap, including generating (i) a first map image layer including a first type of geographic data and having a first resolution, and (ii) a second map image layer including a second type of geographic data and having a second resolution different from the first resolution; and transmitting the multiple map image layers to the client device via a communication network for generating a single digital map of the geographic area.

7669101

12117701

1. A method of generating distributable algorithms related to testing of an electronic circuit, the method comprising: accessing a circuit testing algorithm having a sequence of (N+1) or more tasks that are performed sequentially when the algorithm is performed by a single processor, wherein N is a positive integer and a task M is the starting point in the sequence of tasks; starting at task M in the sequence of tasks, creating a rolling window of independent tasks comprising N tasks from task M to task (M+N−1) by not using the results of the N tasks in the performance of any of the other of the N tasks; delaying the performance of task (M+N) and any subsequent tasks until the reporting of the results for at least task M and any earlier tasks are available; and creating a next rolling window of independent tasks comprising N tasks from task (M+1) to task (M+N) after completion of the Mth task.

9137512

12458559

1. An apparatus for estimating depth to convert a two-dimensional (2-D) monocular video into a stereoscopic video, the apparatus comprising: a feature information extraction unit to extract at least one feature information from a single input image, the feature information being independent of any pre-established depth values of the input image; and a depth establishment unit to establish a depth of a portion of the input image based on the at least one feature information with regard to the portion of the input image, the portion being less than the entire image, wherein the feature information extraction unit calculates a weight so as to depend on similarities of feature information between the at least one pixel of the input image and adjacent pixels within the input image based on the at least one feature information, wherein the depth establishment unit includes a depth map initialization unit, the depth map initialization unit configured to establish an initial depth of the portion of the input image based on a position of the portion of the input image within the input image, such that portions of the input image having different positions are established to have different initial depths, determine the depth of the object located in the upper portion of the input image to be deeper than the depth of the object located in the lower portion of the input image, wherein the depth establishment unit further includes a depth update unit to filter depths stored in the depth map by repeatedly performing updating operations based on the weight, wherein the depth establishment unit comprises, a depth map initialization unit configured to establish an initial depth of at least one pixel of the input image, and to store the established initial depth in a depth map, and a depth update unit configured to calculate the depth of the portion of the input image by performing filtering based on the initial depth, and to update the depth map based on the calculated depth, wherein the apparatus further comprises, a down-scaling unit configured to down-scale the input image to a predetermined resolution, a second depth map initialization unit configured to establish a second initial depth of at least one pixel of the down-scaled input image, and to store the second initial depth in a second depth map, a second feature information extraction unit configured to extract at least one second feature information from the down-scaled input image, and a second depth update unit configured to calculate a second depth of the down-scaled input image by performing filtering based on the at least one second feature information and the second initial depth, and to update the second depth map using the second depth, and an up-scaling unit configured to upscale the updated second depth map based on a resolution of the input image, and wherein the depth map initialization unit is configured to establish the initial depth based on a depth stored in the up-scaled second depth map.

8069045

10948443

1. A method of supplementing an input text given in an incomplete language with missing information, the method comprising: enriching said input text given in an incomplete language with the missing information using at least one processor programmed to implement a first statistical method configured to operate on a first type of linguistic unit and a second statistical method configured to operate on a second type of linguistic unit, wherein the enriching comprises applying the first statistical method to the input text to generate an intermediate result, and after the first statistical method has been applied, applying the second statistical method to at least a portion of the intermediate result to generate an enriched representation of the input text.

8462169

11968892

1. A method for generating immersive sensation for an image, comprising: converting a color space of an inputted image; loading a background mask to separate a foreground image and a background image from the inputted image; achieving attribute information for each of the foreground image and the background image, based on a perceptual attribute with respect to the color space, via an image content analysis; predicting scaling parameters based on the attribute information; and enhancing the inputted image based on the scaling parameter, wherein the predicting of the scaling parameters based on the attribute information predicts the scaling parameters using at least one of a first ratio of the saturation difference to the brightness difference between the foreground image and the background image, a second ratio of the brightness difference to the saturation difference between the foreground image and the background image, and the average saturation of the foreground image.

8363892

12220565

1. A method comprising: selecting a first set of image pixels of an input image and a second set of image pixels of the input image based at least in part on a context of the image pixels, where the second set of image pixels is less than all of the image pixels of the input image; processing the first set of image pixels using hardware based processing to provide a first set of processed pixels, where hardware based processing is performed by performing fixed hardwired operations on the image pixels of first set; processing the second set of image pixels using algorithm based processing to provide a second set of processed pixels, where algorithm based processing is performed by executing program instructions to perform operations on the image pixels of second set; and combining the first and second sets of processed pixels to generate an output image.

20070024614

11492128

1. A method for generating a depth map containing an array of pixels, from a monoscopic source image, comprising the steps of: (a) identifying a subset of the array of pixels representing an edge of at least one local region of the source image, the edge being defined by a predetermined image parameter having an estimated value exceeding a predefined threshold; and (b) assigning to each pixel within said subset, a depth value based on the corresponding estimated value of the image parameter.

20110141306

12964116

1. An image capturing device comprising: a distance image sensor; a luminance image sensor; an external parameter estimating unit for estimating external parameters using a distance image obtained by the distance image sensor and a luminance image obtained by the luminance image sensor; a corresponding pixel determining unit for determining a correspondence relationship between pixel positions in the distance image and pixel positions in the luminance image, using previously stored internal parameters of the distance image sensor and the luminance image sensor, and the external parameters; and an occlusion searching unit for searching for an occlusion region in the distance image, using the correspondence relationship between pixel positions in the distance image and pixel positions in the luminance image determined by the corresponding pixel determining unit.

9690805

14293217

1. A computer-implemented method of rendering a map, the method comprising: determining, by a map feature system that includes one or more computers, a geographical range to be shown on a map; determining, by the map feature system, which geographic features are within the geographical range; identifying, by the map feature system, rank scores of the geographic features determined to be within the geographical range, at least some of the rank scores being derived from a degree of biodiversity of the geographic feature and at least one of (a) a first relationship between a land area occupied by the geographic feature and a total area of land on Earth, or (b) a second relationship between a water area occupied by the geographic feature and a total area of water on Earth; adjusting, by the map feature system, the identified rank score of each of at least one of the geographic features based on rank scores of related geographic features, wherein the adjusted rank score of the at least one of the geographic features depends on a relationship between the at least one of the geographic features and the related geographic features; determining, by the map feature system, which of the geographic features to show on the map based on a scale of the map and the rank scores of the geographic features; and rendering, for presentation in a user interface, the map to show the determined geographic features.

9996953

13765695

1. A computer, comprising: a processor; and a computer-readable storage medium in communication with the processor, the computer-readable storage medium having computer-executable instructions stored thereupon which, when executed by the processor, cause the processor to: render a graphical representation of data in a three-dimensional (3D) environment; render at least one annotation in the 3D environment, wherein the at least one annotation is associated with the data, and wherein the annotation includes a graphical representation that is visible in a first orientation along a first directional axis of three directional axes in the 3D environment and visible in a second orientation along a second directional axis of the three directional axes in the 3D environment; receive an input to change an orientation of the graphical representation of the data rendered in the 3D environment; in response to the input to change the orientation of the graphical representation of the data, determine that the changed orientation of the graphical representation causes the at least one annotation to render illegible content within the at least one annotation; in response to a determination that the at least one annotation maintains legibility of the content within the at least one annotation by a change to the first orientation and the second orientation of the at least one annotation, change the first orientation and the second orientation of the at least one annotation in the 3D environment based on the input to change the orientation of the graphical representation; and in response to a determination that the at least one annotation maintains legibility of the content within the at least one annotation by use of a special annotation orientation, apply the special annotation orientation to the at least one annotation by changing the first or the second orientation while increasing or decreasing an amount of information rendered in the at least one annotation, wherein the amount of information rendered in the at least one annotation is increased based on a size of the at least one annotation if the input to change the orientation of the graphical representation is a request to zoom in on the data and the amount of information rendered in the at least one annotation that is rendered is decreased based on a size of the at least one annotation if the input to change the orientation of the graphical representation is a request to zoom out from the data.

20140286384

13847020

1. Method for equalizing filterbank based multicarrier modulations, comprising the steps of: a. serial-to-parallel converting the received signal at a serial-to-parallel converter ( 421 ) into a first plurality (M) of parallel streams of subcarriers; b. processing each subcarrier of the first plurality (M) of parallelized subcarrier signals by a second plurality (K) of parallel second filterbanks ( 422 , 422 ′, 422 ″,. .. ); and c. weighting the output of said K parallel second filterbanks with weights ( 430 , 431 ,. .. ) in order to form a new set of M signals.

4782456

06855494

1. A system for detecting the presence of a pure signal in a discrete noisy signal measured at a constant average noise level, comprising: in series a converter for converting radiation received thereby into electrical pulses, a shaping means, a binary counting scale, a processing means, and a signalling means; said processing means comprising a processor, at least one memory, and an input-output circuit, said processor comprising means for measuring a counting rate N during successive equal time periods, means for estimating a value of an average noise level M, means for calculating a false detection probability PF as a function of said counting rate N and of the estimated average noise level M, and means for comparing said false detection probability PF with a predetermined false detection level TF, to thereby ascertain that a pure signal has been detected when said false detection probability PF is below said false detection level.

20170161178

15002657

1. A method for generating test strategy for a software application, the method comprising: receiving, by a test strategy generation system, a plurality of parameters from internal data sources and external data sources; determining, by the test strategy generation system, one or more behavioural patterns for the plurality of parameters of the external data sources; calculating, by the test strategy generation system, a score for the plurality of parameters of the external data sources and the internal data sources based on the one or more behavioural patterns and a weightage; comparing, by the test strategy generation system, an aggregate score with corresponding threshold weightage value for the plurality of parameters, wherein the aggregate score is calculated based on the score for the plurality of parameters; generating, by the test strategy generation system, test strategy parameters based on the comparison; and filtering, by the test strategy generation system, a set of test cases from a plurality of test cases for the plurality of parameters based on the test strategy parameters.

20150312563

14794130

1. A projection apparatus for projecting a plurality of stereoscopic images such that portions thereof overlap each other and displaying one stereoscopic image, the apparatus comprising: a projection unit adapted to project an indicator that is an image for adjusting a stereoscopic degree corresponding to a parallax between a projected left image and a projected right image, in an overlapping region where the plurality of stereoscopic images overlap each other; a detection unit adapted to detect a parallax between an indicator in the left image and an indicator in the right image based on a captured image of a projected indicator; and an adjustment unit adapted to adjust stereoscopic degrees of the plurality of stereoscopic images by an adjustment amount that is determined based on the detected parallax.

20160072835

14941927

1. A method comprising: determining a first plurality of vulnerabilities of a first computing asset; generating a first risk score for the first computing asset based on the first plurality of vulnerabilities and on one or more contextual factors that a number of available exploits for each vulnerability of the first plurality of vulnerabilities, wherein the number of available exploits includes a first number of available exploits for a first vulnerability and a second number of available exploits for a second vulnerability, wherein the first number of available exploits is different than the second number of available exploits; wherein the method is performed by one or more computing devices.

20090198756

12026943

1. A method, comprising: (i) receiving a transformation graph, the transformation graph including one or more data transformations, where the transformations are parallelizable transformations and non-parallelizable transformations; (ii) adding the first transformations in the graph to a workset; (iii) adding a first transformation from the workset to a segment; (iv) determining whether the transformation succeeding the last transformation in the segment is parallelizable; (v) determining whether the last transformation includes more than one successor transformation; and (vi) adding the successor transformations of the last transformation to the segment based on the determination of whether the last transformation is parallelizable and includes more than one successor transformation; (vii) adding the successor transformations to the workset if the successor transformations are not added to the segment; (viii) determining whether any transformation remain in the workset; and (ix) repeating steps (iv)-(viii) based on the determining.

20100207961

12669495

1. A method for creating a distance dependent display, comprising: providing an image separating mask having a plurality precision slits arranged in a pattern; generating an interlaced image from a plurality of images according to said pattern; and combining said interlaced image and said image separating mask to allow an observer to view substantially separately each said image from a respective of a plurality of different distances from said image separating mask.

9208204

14558036

1. A method comprising: receiving, by an entity extraction computer, a user input of search query parameters from a user interface, wherein the user interface is presented on a user computer; extracting, by the entity extraction computer, in real-time, as search query data is requested by the user computer, one or more entities from the search query parameters by comparing the search query parameters with an entity co-occurrence database having instances of co-occurrence of the one or more entities in an electronic data corpus and identifying at least one entity type corresponding to the one or more entities in the search query parameters; selecting, by a fuzzy-score matching computer, in real-time, as the search query data is requested by the user computer, a fuzzy matching algorithm for searching the entity co-occurrence database to identify one or more records associated with the search query parameters, wherein the fuzzy matching algorithm corresponds to the at least one identified entity type, wherein at least one of the entity extraction computer or the fuzzy-score matching computer comprises a main memory which hosts an in-memory database comprising the entity co-occurrence database, wherein the in-memory database comprises a plurality of records indexed as structured data, wherein the structured data comprises at least one of an entity-to-entity index, an entity-to-topic index, or an entity-to-fact index; searching, by the fuzzy-score matching computer, in real-time, as the search query data is requested by the user computer, the entity co-occurrence database using the selected fuzzy matching algorithm and forming one or more suggested search query parameters from the one or more records based on the search, wherein the one or more suggested search query parameters includes a plurality of suggested search query parameters; presenting, by the fuzzy-score matching computer, the one or more suggested search query parameters to the user interface; and sorting, by the fuzzy-score matching computer, the plurality of suggested search query parameters in a descending order based on a proximity of a match to the search query parameters in the user input.

20080056530

11768943

1. A scenario simulation system for a multimedia device, comprising: an outline detection device configured to analyze and separate a plurality of images retrieved from an image source into a plurality of foreground and background images; a foreground storage medium configured to store the foreground images; a background storage medium configured to store the background images; a foreground selector configured to select a foreground image from the foreground storage medium; a background selector configured to select a background image from the background storage medium; an image mixer configured to mix the foreground image with the background image as an output image; and an image output module configured to transmit the output image to a remote multimedia device for replacing a real image on the remote multimedia device.

9332902

13745632

1. An interferometric imaging device for imaging a light scattering object comprising: a broadband light source arranged to generate a beam of radiation that is swept in frequency; a beam divider for separating the beam into reference and sample arms, wherein the sample arm contains the light scattering object to be imaged; optics to focus said beam of radiation to a line focus on the light scattering object to be imaged, said line focus having a long axis and a narrow axis; collection optics for combining light scattered from the object and light returning from the reference arm, said collection optics also including an astigmatic element for focusing the light along the long axis differently than along the narrow axis; a one dimensional sensor array arranged such that the narrow dimension of the line focus is substantially imaged directly to the narrow axis of the sensor array and such that the line focus is defocused along its long axis on the sensor array; and a processor for generating an image in response to signals generated by the detector.

9800892

15280755

1. A method for decoding a bitstream for a video signal, the method comprising: deriving at least one motion vector candidate from at least one neighboring block of a current block; constructing a motion vector candidate group of the current block, the motion vector candidate group comprising a plurality of motion vector candidates including the derived at least one motion vector candidate; obtaining a motion vector predictor of the current block from the constructed motion vector candidate group; and decoding the current block based on the motion vector predictor, wherein the deriving the at least one motion vector candidate includes: selecting a motion vector of the at least one neighboring block as the at least one motion vector candidate when a first reference picture list is used for the current block, a second reference picture list different from the first reference picture list is used for the at least one neighboring block, and a reference picture of the current block in the first reference picture list has a same picture order count (POC) value as a reference picture of the at least one neighboring block in the second reference picture list.

20080166051

11876383

1. A database production method, comprising: a representative image selection step of selecting certain images each as a representative image which represents an image content from the image content; a display processing step of causing a display apparatus to display the representative image; an operation inputting step of allowing a user to input image text information corresponding to the representative image; and a database production step of registering representative characteristic information extracted from the representative image in accordance with a predetermined extraction method and the image text information inputted at the operation inputting step in an associated relationship with each other to produce a database for acquiring, using arbitrary image characteristic information for each image extracted from an arbitrary image content in accordance with the extraction method, substance character information corresponding to an image which the arbitrary image content has.

9661237

14881736

1. An image capturing apparatus comprising: an image capturing unit configured to capture a plurality of images with different exposure amounts; an image processor configured to composite the plurality of images and generate a composited image; and a display control unit configured to display the composited image generated by the image processor on a display unit; wherein, upon receiving an instruction for magnification a portion of the composited image displayed on the display unit, the display control unit displays the magnified image of an image from among the plurality of images in a case where the image capturing apparatus is performing a predetermined operation, and magnifies and displays a portion of the composited image in a case where the image capturing apparatus is not performing the predetermined operation.

9665606

14623341

1. A method of enabling a device action based on image data, the method comprising: obtaining, by an image processing device, image data having a representation of an object; generating, by the image processing device, a collection of edges representing curves in the image data by applying a co-circularity algorithm to at least a portion of the image data associated with the object, each edge in the collection of edges comprising perception measure; selecting, by the image processing device, a set of candidate edges from the collection of edges at least in part based on the perception measures of the edges within the collection of edges; constructing, by the image processing device, sets of edgelets, at a pixel level within the image data, for the edges in the set of candidate edges; deriving, by the image processing device, a plurality of edge-based descriptors from the sets of edgelets, each edge-based descriptor representing a constellation of edgelets among edges in the collection of edges; and configuring a device to initiate an action based on the plurality of edge-based descriptors.