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9323837
13204713
1
1. A fusion rule-based anomaly detection system, the system comprising: a learning machine agent, which is a physical sensor, a security camera, or another environmental monitoring sensor, for each domain configured to transmit a piece of new information to a data mining engine module operatively connected to the learning machine agent; a normal data profile for each domain executed in an electronic system per domain, wherein the normal data profile of each domain is created by a generic learning procedure and data collection using the learning machine agent per domain; an anomaly detection engine module for each domain operatively connected to the data mining engine module for each domain, wherein the anomaly detection engine is configured to compare the piece of new information against the normal data profile to generate an anomaly score for each domain; a multiple-domain anomaly detection system operatively connected to a plurality of domain-specific anomaly detection systems, wherein each domain-specific anomaly detection system contains its own learning machine agent, its own normal data profile, and its own anomaly detection engine; a weighted or priority fusion rule executed in the multiple-domain anomaly detection system, wherein the weighted or priority fusion rule generates a multiple-domain anomaly score by placing a higher weight or priority on one domain-specific anomaly score over another domain-specific anomaly score, wherein the weighted or priority fusion rule remains isolated from internal data sets and internal requirements of each domain; and a data network operatively connecting the multiple-domain anomaly detection system and the plurality of domain-specific anomaly detection systems for data communication.
8363957
12536675
1
1. An image classification system configured to classify a target comprising: at least one light source configured to emit light towards the target, wherein at least a portion of said emitted light is reflected by the target; an imager in optical communication with said at least one light source, wherein said imager is configured to receive at least a portion of said reflected light, such that a two-dimensional (2-D) line pattern is produced that is representative of at least a portion of said emitted light reflected by the target; a database configured to store at least one previously obtained 2-D line pattern; and a controller communicatively connected to said imager, wherein said controller is configured to compare said 2-D line pattern to said at least one previously obtained 2-D line pattern stored in said database, such that said controller classifies said 2-D line pattern as a function of said comparison, wherein said obtained 2-D line pattern is a facial fingerprint, such that the target is at least a portion of a face of a user of the image classification system.
7689629
09958108
1
1. A method comprising: generating a distributed database using a network of semantic units taking into consideration a distance between semantic units in the network of semantic units, wherein those semantic units within the distance belong to a predetermined neighborhood, and wherein a knowledge network is used to query information from the database; and using a Janus unit to locally alter how a semantic unit is networked in the network of semantic units, wherein the network of semantic units contains both semantic units that possess information contents as well as link units, each link unit operating to link two semantic units in a hierarchy plane based on relational content, the relational content linking two semantic units such that the mutual relationship of the two linked semantic units is determined through the relational content, wherein the semantic unit is stored on a first storage medium of the distributed database, wherein the information contents of the semantic unit are stored on a second storage medium of the distributed database, wherein the distributed database includes the knowledge network containing networked category units that are a general category describing semantic units and instance units that are a concrete embodiment of one or more categories describing semantic units, and wherein the knowledge network further contains the Janus unit that carries out operations of a stored procedure only on those semantic units in the predetermined neighborhood and that computes bundled information contents of the semantic units in the predetermined neighborhood.
8326088
12471543
1
1. A method for registering and fusing time-varying image sources to provide highest possible information rendering to an operator, comprising the steps of: acquiring image data of an object of interest; first modeling rotation of said object of interest; second modeling time-changing dynamics of said object of interest using an affine transformation; mapping dynamics from said first and second modeling onto a difference image; comparing reference images with said difference image to determine if there is information or noise comprising the steps of: determining a probability density function and a likelihood ratio; weighing the difference image using a decision-making algorithm; fusing difference image found to be additional information with reference image to create a new said reference image; repeating steps of acquiring, first and second modeling, mapping, comparing and fusing until said difference image is found to be noise after several cycles; and providing last new said reference image to an operator as having a high information rendering.
20150170000
14107191
0
1. A method comprising: classifying each of a plurality of reference visual patterns to a parent class of a visual pattern classification hierarchy; classifying each of the plurality of reference visual patterns into at least one of at least one child class and an auxiliary child class of the parent class, wherein a first reference visual pattern of the plurality of reference visual patterns is classified in the auxiliary child class and is misclassified in the parent class; modifying an image classifier configured to classify each of the plurality of reference visual patterns to one of the parent class and at least one sibling class of the parent class based on the first reference visual pattern being classified to the auxiliary child class; and reclassifying the first reference visual pattern to a first sibling class of the parent class using the modified image classifier.
20150302562
14439706
0
1. A method comprising: generating, from a higher dynamic range image, a lower dynamic range image and information allowing the higher dynamic range image to be reconstructed from the lower dynamic range image; encoding the lower dynamic range image; and encoding the information.
20140233822
14185437
0
1. A method combining a plurality of image data sets into one multi-fused image for display to a user, comprising in a processor: (a) aligning all image data sets with a data set representing corresponding anatomical data; (b) segmenting the image data in each data set into separate regions representing respective structures of interest by reference to a segmentation derived from anatomical data; (c) for each region, selecting a corresponding segment of image data from a selected image data set; and (d) combining the selected segments of the image data set to generate the multi-fused image of the regions, by applying spatially dependent look-up tables to the plurality of image data sets, thereby to determine whether each data set is hidden or displayed for each region, and making the multi-fused image of the regions available in electronic form from said processor.
20130226968
13883733
0
1. A method comprising: obtaining, by a computer system, a seismic data volume; identifying, by the computer system, a plurality of patches in the seismic data volume, and the identifying thereby creating a patch volume; and then displaying, on a display device, at least a portion of the seismic data volume and the plurality of patches of the patch volume; and assigning a patch of the plurality of patches to a subsurface horizon of the seismic data volume.
20150213609
14169073
0
1. A method implemented by a computing device, the method comprising: scoring candidate image croppings of a scene according to a plurality of image cropping parameters indicative of visual characteristics established for visually pleasing croppings, at least some of the visual characteristics established by analyzing a collection of images that are predefined as being visually pleasing; and choosing one or more image croppings from the candidate image croppings based on the scoring of the candidate image croppings according to the plurality of image cropping parameters.
9530222
14673476
1
1. A method comprising: receiving first motion data corresponding to a first object; receiving second motion data corresponding to a second object; and applying an asymmetric correlation rule to the first motion data and the second motion data, the asymmetric correlation rule defining a baseline state of motion for the first object and a correlation relationship between the first object and the second object, and applying the asymmetric motion rule comprising: determining, based on the first motion data, whether the first object is in the baseline state of motion; in response to determining that the first object is not in the baseline state of motion, determining, based on the first motion data and the second motion data, whether a first motion vector of the first object is correlated at a threshold level of correlation with a second motion vector of the second object, the correlation relationship between the first object and the second object identifying the threshold level of correlation between the first motion vector and the second motion vector; and in response to determining both that the first object is not in the baseline state of motion and that the first motion vector of the first object is not correlated with the second motion vector of the second object at the threshold level of correlation, generating a notification that the first object is behaving anomalously.
9111355
14205327
1
1. A system for selective color processing, the system comprising: one or more processors and a non-transitory computer-readable medium having executable instructions encoded thereon such that when executed, the one or more processors perform operations of: receiving a multi-band image as input; applying a metric function to the multi-band image to generate a distance map, wherein the distance map comprises a plurality of intensities which vary based on a similarity between an intensity of a pixel color and an intensity of a target color of interest; applying a contrast enhancement process to the distance map to normalize the distance map to a range of values; expanding the range of values of the distance map near the intensity of the target color of interest; and generating an output response map for the target color of interest having value ranges to aid in detection and recognition processes, wherein the output response map comprises a plurality of regions, and wherein the output response map has high responses in regions which contain colors similar to the target color of interest in the multi-band image.
8476897
12881363
1
1. A method for localizing a person in surroundings equipped with fixed electrical appliances, said method comprising: measuring an electromagnetic field radiated by one or more of these fixed electrical appliances by means of a magnetometer carried by the person to be localized, identifying a fixed electrical appliance operating in proximity to the magnetometer by comparing the measured magnetic field with pre-recorded magnetic signatures, each pre-recorded magnetic signature being associated with a respective electrical appliance present in the surroundings, and localizing the person at least in part on the basis of pre-recorded items of information about localization, in the surroundings, of the fixed electrical appliance identified by its magnetic signature.
20020136408
09781304
0
1.- method based on an algorithm capable of being graphically implemented to be used for the generation or filtering of data sequences and cryptographic applications comprising the following stages: a) Defining a cell array distribution with a computer, referenced to a system of coordinates in a vector bidimensional space, provided that the cells in question are capable of adopting two states. b) definition of a first area within that bidimensional vector space, bordered by a first contour, using part of the said cells to define the successive points of the first contour and including a certain number of those cells in this first area; c) definition of a second area in that bidimensional space bordered by a second contour using part of the cells to define the subsequent points of the same; this second area contains the first area; d) choose a cell as the pole, and plot a set of lines from the pole of that cell, and repeat the process, up to a given number of cells which define the second contour, covering all or part of that contour until the first area has been fully swept, using for each line the cells determined by a plotting device such as a Bressenham algorithm; and e) perform an operation on the contents of each of the cells used when plotting each of the lines of the set and included in that first contour, thereby transforming their state, such as a Logic Xor, each time the cell in question is found in one of the lines of the set.
20070234203
11392248
0
1. A system for generating an image-based reflowable file, comprising: a data store for storing image-based reflowable files; and a computing device in communication with the data store that is operative to: retrieve an image of content having one or more reflow objects, wherein the image of content corresponds to an image of printed textual content and wherein the reflow objects corresponds to the textual content; identify a reflow object baseline for each of reflow objects; identify polygonal-shaped bounding regions for the reflow objects; determine the size of each bounding region; determine the position of each bounding region relative to the image and relative to its corresponding reflow object baseline; generate the image-based reflowable file comprising the reflow object baselines and the size and the position of each of the bounding regions; store the generated image-based reflowable file in the data store; and render the image-based reflowable file on a computer display.
9367490
14304174
1
1. A method implemented by a host computing device comprising: detecting connection of a connector to an accessory port of the host computing device based on signals conveyed via a pair of detection pins allocated in the connector; ascertaining an orientation of the connection of the connector to the accessory port based on the signals, the signals indicating a logic state combination for the pair of detection pins, the logic state combination indicating whether an accessory device connected via the connector is a one wire device or a two wire device; and configuring a switching mechanism of the host computing device to route signals according to the ascertained orientation and the logic state combination.
20110261994
12767837
0
1. A computer implemented method for producing an image product, comprising the steps of: providing a digital template having one or more digital openings; providing one or more digital images each having pixels, each opening associated with one of a plurality of seasons for disposing one of the digital images therein, said one of the digital images associated with one of the plurality of seasons; automatically analyzing the pixels of the one or more digital images to determine which one of the plurality of seasons is depicted by each of the one or more digital images; for each template opening, automatically disposing a digital image therein having associated therewith a same season as the season associated with that template opening; and producing the template having the digital images disposed in the one or more openings therein.
8522214
11749609
1
1. A system for testing software, comprising: a test platform having hardware and software that test a software application; a glossary component containing information associated with the software application, wherein the information associated with the software application includes keywords and a first desired state and a second desired state of the software application associated with each of the keywords, and wherein a model of the software application's behavior is derived utilizing the first and second desired states of the software application; and a test script referencing one or more of the keywords from the glossary component, wherein the software of the test platform comprises instructions translatable by the hardware of the test platform to perform: retrieving the test script, identifying a keyword referenced by the test script, performing a step in the test script relating to the identified keyword, wherein performing the step causes the software application to move from a first state to a second state, and verifying, via the model of the software application's behavior, whether the first and second states correspond to the first and second desired states of the software application.
9896202
14559365
1
1. A method for navigating an airborne vehicle relative to a target, comprising: detecting, at a signal detector associated with the airborne vehicle, a signal generated by a signal emitter associated with the target; correlating, by a processor associated with the airborne vehicle, the detected signal with a previously-detected signal; determining, by the processor based on the correlating, a change in location of the target; adjusting a position of the airborne vehicle based, at least in part, on the determined change in location in order to cause the airborne vehicle to follow a flight path that maintains a first following distance between the airborne vehicle and the target; detecting an obstacle in the flight path of the airborne vehicle; responsively adjusting the flight path of the airborne vehicle to cause the airborne vehicle to connect to an obstacle-free path traversed by the target; and causing the airborne vehicle to follow behind the target on the obstacle-free path at a second following distance that is less than the first following distance until the obstacle is no longer detected.
8214374
13245843
1
1. A method of abridging one or more video files, the method comprising: receiving one or more manually generated tags associated with the one or more video files; based at least in part on the one or more manually entered tags, determining a preliminary category for the one or more video files; based on the preliminary category, generating a targeted transcript of the one or more video files, wherein the targeted transcript includes a plurality of words; generating an ontology of the plurality of words based on the targeted transcript; ranking the plurality of words in the ontology based on a plurality of scoring factors; based on the ranking of the plurality of words, generating one or more automated tags associated with the one or more video files; based on the one or more automated tags, generating a plurality of concepts and a heat map for one or more video files; correlating the heat map and plurality of concepts for each of the one or more video files to determine multiple areas of activity within the one or more video files; cutting the one or more video files at each of the areas of activity into a plurality of cut portions of the one or more videos; and assembling the plurality of cut portions of the one or more videos into a single abridged video file.
8352901
11951337
1
1. A method for automatically generating a subset of sampling points from a set of load and slew points for circuit characterization, comprising: iteratively obtaining sampling points, by a processor, such that error between an actual value and an interpolated intermediate value is below or equal to a threshold error value, wherein iteratively obtaining the sampling points such that error between an actual value and an interpolated intermediate value is below or equal to a threshold error value comprises: interpolating between first and second non-consecutive sampling points to compute the interpolated intermediate values; determining an error between each interpolated intermediate value and the actual value; and comparing the error with the threshold error value and declaring a sampling point substantially adjacent to the second non-consecutive sampling point and located between the first and second non-consecutive sampling points, as a valid sampling point based on the outcome of the comparison; and generating the subset of sampling points from the iteratively obtained sampling points by the processor.
20120303618
13113141
0
1. A method comprising: receiving information representing capability attributes of devices in a data center; analyzing the information representing the capability attributes to generate data that groups devices based on similarity of at least one capability attribute; and storing aggregation data that represents the grouping of the devices based on similarity of the at least one capability attribute and identifies the devices in corresponding groups.
5563996
08127211
1
1. A method for manipulating notes on the screen of a computer display, the method comprising: generating an initial note area on a screen of a computer display; dividing said initial note area into a plurality of note areas in response to at least one division gesture implemented by moving a pointing means across the width of the screen such that a left edge of the division gesture is within a first defined distance of a left side of said computer display and a right edge of the division gesture is within a second defined distance of a right side of said computer display, wherein the division gesture is made in a horizontal motion having a slope of less than a predefined slope value, wherein each division gesture creates divider indicia on said semen which visually separates two adjacent note areas and which divider indicia includes one or more header function buttons specifying a command to be taken on a note associated with the divider indicia; modifying the size of a selected note area in response to a sizing gesture made to a divider indicia associated with said selected note area; and scrolling at least some of the plurality of note areas such that they are sequentially displayed in response to a scrolling command, wherein the plurality of note areas have arbitrary sizes and are at least initially delimited by the division gestures.
7577446
11832558
1
1. A method for localization of a mobile terminal communicating using ultra-wide band signals, comprising: receiving signals transmitted between the mobile terminal and a plurality of fixed terminals; for each received signal, using a statistical metric based on delays and amplitudes of one or more multipath components, determining a likelihood that the received signal traveled a line-of-sight path; and determining the position of the mobile terminal based on times-of-arrival of the received signals using a localization algorithm based in part on the likelihoods of line-of-sight path for the received signals.
20050206859
11082064
0
1. A projector that projects projection light on a projection object to display an image, the projector comprising: an image formation module that can form a predetermined pattern image for displaying on the projection object; a zoom lens that can change the size of the projected light region on which the projection light is projected; a controller; an imager that images the projection object; and an imaging controller that calculates an exposure calculation value from an imaged image imaged by the imager and adjusts the exposure on the imager such that the calculated exposure calculation value is nearly equivalent to an exposure target value set by the controller, and wherein the controller acquires the imaged image imaged by the imager, and changes an area of a specified color portion represented with a specified color in the pattern image which is formed in the image formation module such that a specified value of a gradient value of a specified color portion represented with the specified color becomes approximately equivalent to a desired gradient value in the acquired imaged image.
20030164961
10062387
0
1. A method for extending bit-depth of display systems, comprising the steps of: creating pseudo-random noise from human visual system noise, wherein the noise causes spatiotemporal dithering; combining the pseudo-random noise with image data, thereby producing noise-compensated image data; and quantizing the noise-compensated image data.
20030163281
10368560
0
1. A motion vector estimation apparatus, comprising: a full search motion estimation part which obtains a first motion vector from all blocks in a predetermined search range based on a current frame and/or field and a reference frame and/or field; a prediction motion estimation part which estimates a second motion vector from ambient blocks about a block in which a candidate motion vector is estimated; and a motion vector selection part which selects one of the first and second motion vectors as a final motion vector.
7532942
11699348
1
1. An apparatus for generating a quality assurance scorecard, comprising: at least one client computer; a server comprising: a merging module which receives data from all devices networked to said server, including at least one of said client computer, an imaging device, and/or databases, said merging module which stores said received data in a storage device; a sorting module which enables sorting of at least said merged data, wherein said sorting module sorts said data based on predetermined sorting criteria; wherein said sorted data enables tracking, reconstruction, reporting and/or monitoring of actions performed during an imaging examination; a metrics module which analyzes said data collected during said imaging examination, and performs prospective and retrospective trending analysis, said trending analysis which enables automatic detection of immediate and recurrent problems in said imaging examination, and automatically tallies and records quality assurance scores in a selected database; and an automated quality assurance analyzer for digital radiography which automates an image review process to track and analyze factors based on patient motion, patient positioning, imaging artifacts, collimation, and patient identifying data, in order to optimize the quality of said imaging examination.
10007946
14795809
1
1. A computer-implemented method for generating recommendations of alternative unique items, the computer-implemented method comprising: receiving electronic data indicating a selection of a selected item; updating, using a computer system, a set of base items to include the selected item, wherein the selected item and the base items each comprise a plurality of attributes; determining, using the computer system, a set of base attributes from the plurality of attributes of the items in the set of base items to use for determining the similarity of alternative unique items to the set of base items; selecting, using the computer system, a set of alternative unique items from a plurality of unique items for comparison to the set of base items; calculating, using the computer system, a first dissimilarity penalty for a first attribute of the set of base attributes for the set of alternative unique items at least partially based on a magnitude of dissimilarity between a value of the first attribute of the set of alternative items and the values of the first attribute of the set of base attributes; calculating, using the computer system, a second dissimilarity penalty for a second attribute of the set of base attributes for the set of alternative unique items at least partially based on a magnitude of dissimilarity between a value of the second attribute of the set of alternative items and the values of the second attribute of the set of base attributes; and generating, using the computer system, a recommendation of alternative unique items, the recommendation comprising ranking of at least a portion of the plurality of the set of alternative unique items, the ranking based at least partially on the generated dissimilarity penalties; wherein the computer system comprises a computer processor and electronic memory.
7750296
11866426
1
1. A scanning electron microscope comprising: an electron optics for scanning an electron beam on a predetermined region of a standard specimen whose pattern dimension or pattern pitch is known as a nominal value; detection means for detecting secondary electrons or backscattering electrons generated under the scan of the electron beam; and operation means for calculating a pattern dimension or pattern pitch in said predetermined region, wherein said operation means includes means for forming an image from information of secondary electrons or backscattering electrons detected by said detector, means for forming a plurality of regions from said image, means for measuring a pattern dimension or pattern pitch in each of said plurality of formed regions, and means for calculating a scanning distortion amount of said electron beam to calculate a difference between the nominal value and the distribution of the pattern dimension or pattern pitch.
9105093
13783515
1
1. A method for bi-layer segmentation of an image, the method comprising deriving a classifier based on depth data of the image; deriving a classifier based on color data of the image; and segmenting the image by maximizing a weighted sum of matching scores derived from the classifiers based on depth data and color data of the image.
10129526
14951314
1
1. A computer implemented method, comprising: identifying fixed points associated with objects disposed in a three-dimensional space using a depth camera that is integrated with a controller, the depth camera is configured to capture depth data by emitting infrared (IR) light toward the objects and receive reflections of the IR light: analyzing the identified fixed points to find a group of fixed points that relate to at least one of said objects disposed in the three-dimensional space, as captured by the depth camera; determining changes in spatial position of the controller relative to the three-dimensional space based on changes in spatial position of the group of fixed points as determined from the depth data captured by the depth camera of the controller; and triggering an input command when the controller is determined to be in a particular position based on the determined changes in spatial position relative to the three-dimensional space, wherein the input command is communicated to an application processed by a computing device, the computing device being in communication with the controller.
9659239
14850516
1
1. A machine learning device comprising: a processor and a memory storing a program which is executable by the processor to perform operations comprising: acquiring n learning contents (n is a natural number larger than or equal to 2) with a label to be used for categorization; acquiring a feature vector from each of the n learning contents; converting the feature vectors for the n learning contents to similarity feature vectors based on similarity degrees between the learning contents; learning a classification condition for categorizing the n learning contents based on the similarity feature vectors and the label assigned to each of the n learning contents; and categorizing a testing content to which the label is not assigned, in accordance with the learned classification condition; wherein the labels are for categorizing the n learning contents into a plurality of categories; wherein the processor learns a function for linear separation as the classification condition in order to classify n points in a vector space determined by the similarity feature vectors of the n learning contents into the plurality of categories, based on the labels assigned to the n learning contents; and wherein the processor classifies the testing content into one of the plurality of categories in accordance with the function.
9576228
14793824
1
1. An image processing apparatus comprising: an input unit that inputs printing information containing image data; and a conversion unit that, when a pixel value of a first pixel from among successive N pixels (N is an integer equal to or larger than 2) of the image data is zero, (i) examines sequentially the successive N pixels until a pixel amongst the successive N pixels is discovered to have a non-zero pixel value, (ii) sets the discovered pixel as a new first pixel and (iii) performs a conversion of the successive N pixels, starting from the new first pixel, using coefficient values calculated based on a magnitude of each of the successive N pixels.
20060229870
11093544
0
1. A method of verifying a speech input comprising: determining pronunciation data for a received user spoken utterance specifying a word; speech recognizing further user spoken utterances specifying individual characters of the word, wherein an N-best list is generated for each character; automatically generating word candidates using the N-best list for each character; and comparing the pronunciation data with the word candidates to determine at least one match.
10013639
14107968
1
1. An apparatus comprising: one or more hardware processors; and one or more memory devices storing computer-executable instructions, the computer-executable instructions causing the one or more hardware processors to: provide a user interface, the user interface including a plurality of digital images and a plurality of criteria for selection; receive, via the user interface, a selection of at least a subset of the plurality of digital images; receive, via the user interface, user input providing a selection of one or more criteria of the plurality of criteria from criteria options presented on the user interface, wherein the one or more criteria specify an objective for analyzing the at least a subset of the plurality of digital images according to visual characteristics and non-visual characteristics of the at least a subset of the plurality of digital images; select, based on the objective specified by the one or more criteria, a heuristic from a plurality of heuristics; analyze, using the heuristic, the at least a subset of the plurality of digital images by comparing the at least a subset of the plurality of digital images to each other digital image in the at least a subset of the plurality of digital images in accordance with the visual and non-visual characteristics, the comparing generating scores that quantify the visual and non-visual characteristics for each digital image of the at least a subset of the plurality of digital images in accordance with the objective specified by the one or more criteria selected via the user interface; determine, based on the analysis, ranking values associated with the at least a subset of the plurality of digital images, the ranking values including the scores that quantify the visual and non-visual characteristics for each digital image of the at least a subset of the plurality of digital images relative to the visual and non-visual characteristics for each other digital image of the at least a subset of the plurality of digital images; determine one or more digital images of the at least a subset of the plurality of digital images having a score greater than the scores associated with each other digital image of the at least a subset of the plurality of digital images; cause the one or more digital images and information regarding the one or more digital images to be presented via a display; receive the user input regarding at least one digital image of the one or more digital images, the user input selecting the at least one digital image of the one or more digital images; and use machine learning to determine a learned operation to automatically perform with respect to the at least one digital image selected based on the user input.
20140207965
14219672
0
1. A method for providing a multimedia streaming service, comprising: transmitting, by a server, a Media Presentation Description (MPD) including information about media data to a client; receiving from the client, by the server, a partial request message requesting a part of media data having a range according to a defined range in the MPD; and transmitting to the client, by the server, a segment having the range in response to the partial request message, wherein the segment includes at least one fragment, segment index information including information indicating a position of the at least one fragment in the segment, and fragment index information including information indicating a position of each of a plurality of samples included in the at least one fragment, and wherein the fragment index information includes information about a total size of the samples.
9751618
14705547
1
1. An apparatus comprising: an aerodynamic microstructure defining an external surface of a vehicle; a first pattern of sub-microstructures superimposed on the microstructure, the first pattern having a first reflective property; and a second pattern of sub-microstructures superimposed on the microstructure, the second pattern having a second reflective property different from the first reflective property, wherein sub-microstructures of the first pattern of sub-microstructures have at least one of a different size or a different orientation from sub-microstructures of the second pattern of sub-microstructures, the first and the second patterns superimposed on the microstructure to convey a representation of a graphic.
20170228868
15018442
0
1. A method for segmentation of a volumetric image dataset, said method comprising: performing, by an image-processing device, an initial segmentation of an input volumetric image dataset to obtain a main vessel structure and a plurality of broken segments; computing, by said image-processing device, a weighted path between said main vessel structure and a broken segment of said plurality of broken segments based on at least one or more parameters associated with a first voxel of said broken segment of said plurality of broken segments arid a second voxel of said main vessel structure; determining, by said image-processing device, a valid weighted path between said main vessel structure and a broken segment of said plurality of broken segments based on said computed weighted path and one or more pre-specified conditions; and generating, by said image-processing device, an output volumetric image dataset by performing a final segmentation on a gradient field based on said determined valid weighted path.
8488878
12801322
1
1. A sky detection system that detects sky in an image collection device, the system comprising: an image collection unit that collects information of a color image; a color-feature extraction unit that extracts a color feature of each pixel from the collected image; a distance measurement unit that measures a distance between said each pixel of the collected image and a lens; a first classification unit that classifies said each pixel of the collected image as either a sky pixel or a non-sky pixel based on the color feature; and a second classification unit that further classifies said each pixel of the collected image as either the sky pixel or the non-sky pixel based on the distance and a result of the first classification unit.
5537118
08412200
1
1. A method for tracking the trajectory of moving objects, of the type in which: a) one or more sensors (S.sub.j.sup.1) are provided, which deliver signals (M.sub.j.sup.1h) relating to the presence of at least one moving object, with reference to a known division of space, peculiar to each group of sensors, in so-called spatial resolution cells (X.sup.1h); b) by means of logic tests peculiar to each sensor, some of these signals (M.sub.j.sup.1h) are selected in accordance with a chosen windowing criterion, relating to the resolution cells (X.sup.1h); c) an estimate is worked out of the probability (.beta.k) that a moving body has of being in a cell (Xk) which is the intersection of the resolution cells (X.sup.1h) peculiar to each sensor (S.sub.j.sup.1), according to the signals selected at b), and trajectory tracking data (.alpha.k); d) this probability (pk) is applied to an adaptive tracking filter (4), the output of this filter (4) supplying an estimated status (X*,P*) and affording a trajectory prediction (x,S) for at least one moving object; and e) the chosen windowing criterion is adjusted according to this trajectory prediction (x,S), step c) comprising: c1) the prior storage in memory of n sets of J distribution functions F.sub.i (M.sub.j.sup.1h), these n sets relating respectively to n identities H.sub.i of indexed moving objects (i=1 to n; j=1 to J, each of these functions (F.sub.i (M.sub.j.sup.1h) representing the a priori probability (P(M.sub.j.sup.1h /H.sub.i)) of observing the measurement (M.sub.j.sup.1h) in the resolution cell (X.sup.1h) of the sensor (S.sub.j.sup.1) when a moving object of identity (H.sub.i) is presented to this sensor, and having a coefficient (D.sub.ij.sup.1h) representing the degree of confidence given thereto; c2) the determination, from each measurement (M.sub.j.sup.1h) and the pairs (F.sub.i (M.sub.j.sup.1h), D.sub.ij.sup.1h) stored in memories, of orders of likelihood (A.sub.ij.sup.1h, B.sub.ij.sup.1h), and this for all the identities (H.sub.i) indexed, where A.sub.ij.sup.1h represents the likelihood ratio between the cases "there is a moving object of identity H.sub.i in cell X.sup.1h " and "no moving object of identity H.sub.i is present in the cell X.sup.1h ", whilst B.sub.ij.sup.1h represents an uncertainty factor for A.sub.ij.sup.1h ; c3) the merging, for each resolution cell (X.sup.1h) and each identity of moving objects (H.sub.i), of these pairs of orders of likelihood (A.sub.ij.sup.1h, B.sub.ij.sup.1h) obtained for all the sensors (S.sub.j.sup.1) in the same alignment group, into a single pair of likelihood (A.sub.i.sup.1h, B.sub.i.sup.1h); c4) the calculation, from the likelihoods (A.sub.i.sup.1h, B.sub.i.sup.1h) relating to a first resolution cell (X.sup.1h), of the likelihood (Q.sup.1h) for there being in this cell (X.sup.1h) a moving object of the same identity as the moving object being tracked; c5) the calculation, from the likelihoods (Q.sup.1h) of each group of sensors, for each cell (Xk), the intersection of the resolution cells (X.sup.1h) in question, of the likelihood (Qk) of there being in this box (Xk) a moving object of the same identity as the moving object being tracked; and c6) the calculation, from the values (Qk) and tracking coefficients (.alpha.k) delivered by the adaptive tracking filter (4a), for each cell (Xk), of the a posteriori probability (.beta.K) that the moving body being tracked is in this cell (Xk).
20120087550
13378208
0
1. A method of generating a template from biometric data associated with an individual, the method comprising the steps of: deriving a positional reference point of said biometric data of the individual and a measure of reliability for the positional reference point; calculating a contribution indicator for the derived positional reference point; extracting a first feature set from said biometric data, said first feature set being extracted taking into account the derived positional reference point, if the measure of reliability indicates that the positional reference point can be considered reliable; and generating a template from the extracted first feature set and associating the template with the calculated contribution indicator.
9471834
14134464
1
1. A computer-implemented method comprising: receiving, by one or more computing devices, a request for map data; providing, by the one or more computing devices in response to the request, a first image of a geographical location corresponding to the map data; receiving, by the one or more computing devices, information from a first user relating to a status of an object in the first image, the information including one or more annotations added to an image layer associated with the first image; determining, by the one or more computing devices, whether the first image is to be updated based at least on the received information from the first user, wherein the determining includes at least one of: (i) determining whether a predetermined number of objects in the first image are indicated to be inaccurate or out of date; (ii) determining whether a predetermined number of submissions relating to an object in the first image were received; (iii) determining whether the status information indicates that an object in the first image has changed; (iv) determining a date when the first image was taken; or (v) determining a quality measure of the first image comprising: resolution, blurriness, or lighting.
8428689
12602795
1
1. A therapeutic system comprising: a therapy transducer configured to direct a therapeutic action to a target; a magnetic resonance (MR) imager configured to generate image information of a therapy region that includes the target; a motion analysis processor configured to derive a motion vector field from the image information of the therapy region; and a controller configured to control the therapy transducer based on the motion vector field, wherein the MR imager is configured to acquire MR signals from the therapy region, and to derive the image information from the magnetic resonance signals; and wherein the controller includes a thermography unit configured to derive a temperature distribution of the therapy region from the magnetic resonance signals, taking the motion vector field into account.
9330087
13861146
1
1. A computer-implemented process, comprising: receiving a parallel corpus of a source language and a target language; applying a machine translation training process to the parallel corpus to generate a cross-lingual phrase table comprising a plurality of source language phrases, each source language phrase having at least one target language translation; applying a blocking operation to the cross-lingual phrase table to group phrases of the source language into blocks by searching the cross-lingual phrase table to find blocks of two or more source language phrases that share similar translations in the target language; searching each of the different source language phrases in each block to identify a stem of a word of the source language, the stem in each block comprising a same sequence of characters occurring in each of the different source language phrases of that block; searching each of the different source language phrases in each block to find a plurality of affixes of the stem of that block, each affix in each block comprising a sequence of characters preceding or following the characters comprising the stem in any of the different source language phrases in that block; generating a set of morphemes comprising the stems and affixes of words of the source language; in response to receipt of a user query in the source language, applying the set of morphemes to automatically create one or more different forms of one or more words of the user query; and performing an expanded query search using the automatically created different forms of the words of the user query.
6150930
07930880
1
1. A video system which provides an operator of a vehicle with an enhanced visual display of selected portions of the vehicle's surrounding environment comprising: an illuminator to project short wavelength infrared energy; a single silicon detector for both short wavelength infrared and visible colored light electromagnetic radiation to generate both short wavelength infrared signals and visible colored light signals; a signal processing circuit to produce electrical signals corresponding to the detected electromagnetic radiation and based on said short wavelength infrared signals and said visible colored light signals; the signal processing circuit converting the electrical signals corresponding to the detected short wavelength infrared radiation into a visual display for the vehicle operator; and the signal processing circuit enhancing the visual display of the infrared signal with selected portions of the colored light signal.
20160070956
14841928
0
1. A method for generating a facial feature verification model, wherein the method comprises: acquiring N input facial images, wherein the N input facial images correspond to M persons with independent identities, wherein N is an integer greater than 2, and wherein M is an integer greater than 2; performing feature extraction on the N input facial images to obtain an original feature representation of each facial image; forming a face sample library according to the original feature representations; grouping samples corresponding to one person with an independent identity in the face sample library to obtain c groups of face samples, wherein c is an integer greater than or equal to 2; obtaining a common intrinsic representation of the c groups of face samples for samples of each person with an independent identity according to manifold relevance determination; obtaining a training sample set of an intrinsic representation according to the common intrinsic representation of the c groups of face samples of the person with an independent identity; training the training sample set of the intrinsic representation to obtain a Bayesian model of the intrinsic representation; and obtaining a facial feature verification model according to a preset model mapping relationship and the Bayesian model of the intrinsic representation.
20090063520
12111260
0
1. A computer-readable medium storing a program causing a computer to execute a process for electronic information processing, the process comprising: correlating electronic information which is correlated to a first correlation location in a first correlation structure also to a second correlation location in a second correlation structure according to a correlation condition based on the first correlation location or the electronic information; and executing an operation on the electronic information or the first correlation location in the first correlation structure, wherein there can be switched permission and forbiddance of execution of at least a part of the operations, among the operations, which changes a correlation result in the correlating.
20080097859
11960244
0
1. A system for providing aggregation of buyers and sellers over the internet comprising: a graphical search engine for locating unique items sought by buyers on the internet: a graphical reference library for use by sellers for listing unique items, the library comprising a graphical alphabet of component parts of unique items to be listed, the alphabet deciphering the language of design the includes a substantially infinite number of stylistic combinations; listings of unique items placed on the internet by sellers of designs, furnishings and accessories including relevant physical characteristics of the unique items for sale; search means for use by buyers for locating desired unique items by use of the alphabet and specified relevant physical information; to thereby aggregate buyers and sellers of unique items through online internet communication.
20020071598
09972200
0
1. A system for fingerprint authentication, which comprises: which stores, regenerates, or matches shape of curves, by using a specified group of data in length and/or angle and/or position to express a shape of curve, in said system using sequence of several measure points on the curve, which are determined so as to make the same distances between those adjacent measure points, the data of lengths of arcs being between starting measure point and ending measure points among every 3 consecutive measure points on the curve.
20020188599
09800310
0
1. A method of discovering phrases from a database comprising: providing a set of relevant text; extracting a plurality of phrases from the provided text; culling the extracted plurality of phrases; gathering a plurality of phrases, wherein the gathered plurality of phrases are related to the culled and extracted plurality of phrases; and outputting the plurality of gathered phrases.
9503718
14000305
1
1. An image coding device that divides each picture of a moving image signal into coding blocks each of which is a unit for predetermined coding, and carries out compression coding on each of the coding blocks by using a motion-compensated prediction, said image coding device comprising: a motion compensation unit for generating a prediction image for each of motion-compensated prediction unit areas into which said each of the coding blocks is divided by using a motion vector selected for said each of the coding blocks or said each of the motion-compensated prediction unit areas; and a variable length coding unit for variable-length-coding compressed data about a compressed difference image between an input signal corresponding to said prediction image and said prediction image, and information about said motion vector to generate a bitstream, and for multiplexing, into the bitstream, a reference image restriction flag indicating whether or not to restrict a significant reference image area which is an area on a reference image which can be used for said motion-compensated prediction to an area having a predetermined size and a predetermined shape, wherein said motion compensation unit determines said significant reference image area on a basis of said reference image restriction flag.
20040218676
10828417
0
1. A method of determining a reference picture for blocks constituting a current picture, the method comprising: (a) preparing tag information describing a plurality of pictures; and (b) determining one of the plurality of pictures to be the reference picture by referring to the tag information.
20090228247
12044346
0
1. A method for monitoring a manufacturing process, comprising: a. acquiring metrology data for semiconductor wafers at the conclusion of a final process step for the manufacturing process; b. acquiring data for a plurality of process variables for a first process step for manufacturing semiconductor wafers; c. creating a first mathematical model of the first process step based on the metrology data and the acquired data for the plurality of process variables for the first process step; d. repeating step b. and step c. for at least a second process step for manufacturing the semiconductor wafers; e. creating an n th mathematical model based on the metrology data and the data for the plurality of process variables for each of the n process steps; and f. creating a top level mathematical model based on the metrology data and the models created by steps c., d. and e., the top level mathematical model being based on those process variables that have a substantial effect on the metrology data.
20100256508
12416376
0
1. A method for detecting the presence of disease in organs comprising: detecting an electrical sinoatrial signal produced by a human heart; processing the electrical sinoatrial signal to generate a frequency spectrum comprising a plurality of frequency components associated with different organs; and determining the condition of said organs by comparing said spectrum to a standardized normal spectrum associated with healthy organs.
9418661
14116965
1
1. A voice recognition system, comprising: a microphone configured to receive speech from a user and convert the speech to an audio speech signal; and a voice recognition engine configured to: cause a user expertise evaluator module to detect an indication of an expertise level of the audio speech signal received from the microphone; set an expertise level for the user in a voice recognition setting database based on the indication of the expertise level; retrieve an expertise-to-adjustment association from an expertise database; automatically adjust a voice tree in a voice tree database based on applying the expertise-to-adjustment association to the expertise level for the user; process the adjusted voice tree to generate a prompt in response to the received speech; and output the prompt to the user.
7575168
10956415
1
1. A method for generating and displaying visually encoding data for short-range data communication, the method comprising: selecting data to be communicated; segmenting the selected data into a plurality of segments suitable for visual encoding, each of the segments being separable from any others of the segments; providing each of the plurality of segments with a distinct linking indicator that provides for related data segments to be sequenced; encoding each of the plurality of segments into a plurality images; and displaying, sequentially, each of the plurality images on a display device.
4115805
05580393
1
1. A system for extracting data from a field of view and an image of an object in the field of view using repeated scans of the image, comprising: means for producing a video signal as a function of the image; means for producing a binary video signal as a function of the video signal of the object image in the field of view; means for extracting data defining a point within the field of view; and means for identifying the point to an object in the field of view by a comparison between the extracted point data and binary video signal image related data.
8402533
12851739
1
1. A computer-implemented method, comprising: receiving, at a computing device that is in a locked state, one or more first user inputs to unlock the computing device and to execute at least one first command that is different from a command for unlocking the computing device, wherein receiving the one or more first user inputs to unlock the computing device and to execute the at least one first command comprises receiving a dragging motion between a first icon that corresponds to a first function corresponding to the at least one first command, and an icon that corresponds to an unlocking function for the computing device; executing, in response to receiving the one or more first user inputs to unlock the computing device, an unlocking operation by the computing device to convert the computing device from the locked state to an unlocked state; executing the at least one first command in response to receiving the one or more first user inputs to execute the at least one first command, wherein the at least one first command executes so that results of executing the at least one first command are first displayed on the computing device automatically after the computing device converts from the locked state to the unlocked state; executing, by the computing device, a locking operation so as to convert the computing device from the unlocked state back into the locked state; receiving, at the computing device while the computing device is back in the locked state, one or more second user inputs to unlock the computing device and to execute at least one second command that is different from the command for unlocking the computing device, wherein receiving the one or more second user inputs to unlock the computing device and to execute the at least one second command comprises receiving a dragging motion between a second icon that corresponds to a second function corresponding to the at least one second command, and the icon that corresponds to the unlocking function for the computing device; executing, in response to receiving the one or more second user inputs to unlock the computing device, the unlocking operation by the computing device to convert the computing device from the locked state to the unlocked state; and executing the at least one second command in response to receiving the one or more second user inputs to execute the at least one second command, wherein the at least one second command executes so that results of executing the at least one second command are first displayed on the computing device automatically after the computing device converts from the locked state to the unlocked state.
7809765
11844619
1
1. A method for identifying a sequence of interest in a data series, comprising: generating a data structure that stores characteristics about a plurality of sequences present in the data series; identifying one or more sequences based upon the contents of the data structure; evaluating one or more exit criteria to determine if an exit point has been reached; updating the data structure to reflect the most recent identification of a sequence and repeating the identification process if the exit criteria are not met; and terminating if the exit criteria are met.
20040236584
10416346
0
1. A method for electronic bill presentment, comprising: receiving registration information from a customer including customer identification information and biller information; associating the biller information with an identification mark; storing the registration information and associated information in a database; receiving a mailpiece; determining if the mailpiece includes an identification mark associated with stored biller information; and sorting mailpiece for electronic bill payment if the identification mark associated with stored biller information.
20030126104
09908984
0
1. A method of creating a decision engine including a Bayesian network, comprising: Retrieving data from a client database and forming a focus database, wherein the retrieving includes retrieving data from a static customer database and retrieving data from a data stream; Employing an expectation maximization algorithm to provide a value to valueless records in the focus database; Applying a set of initial rules to the focus database to form at least two nodes; Applying a first learning process to determine a set of arcs to be applied between the at least two nodes; Applying a second learning process to determine a set of states to be applied within each node; Applying a third learning process to determine a set of probabilities applicable to the states learned in the second learning process; and Applying a fourth learning process to update a structure of the at least two nodes, the set of arcs, the set of states within each node, and the set of probabilities for the states.
9058751
13301668
1
1. A computer-based language phoneme practice system comprising: (a) a digital processing device comprising an operating system configured to perform executable instructions; and (b) a computer program, provided to the digital processing device, including executable instructions that create a language phoneme practice engine, the engine comprising: i. a taxonomy of phonemes of a target language, the taxonomy an ordered organization of phonemes to facilitate a sequence of learning; ii. a software module for providing an interface for practicing each phoneme in the taxonomy in isolation from any word, the interface simultaneously providing a selection element for each phoneme in the taxonomy, the selection elements presented according to the ordered organization of the taxonomy, wherein the interface allows a learner to interact with each selection element to select a phoneme, the interface further providing a practice element, wherein the interface allows the learner to interact with the practice element to access a visual representation and an auditory representation of the selected phoneme; and iii. a software module for providing an interface for practicing each phoneme in the context of the beginning, middle, and end of words of the target language, the interface providing a plurality of words beginning with the selected phoneme, a plurality of words with the selected phoneme in their middle, and a plurality of words ending with the selected phoneme, wherein the interface allows the learner to access a visual and auditory representation of each word, wherein each word is depicted as a composition of phonemes, wherein each phoneme in each word is interactive and allows the learner to access a visual and an auditory representation of each phoneme in each word.
9516223
13490326
1
1. A non-transitory program storage device, readable by a processor and comprising instructions stored thereon to cause the processor to: obtain a first image from an image capture device at a first time, the first image having a first motion data from a motion sensor of the image capture device; obtain a second image from the image capture device at a second time, the second image having a second motion data from the motion sensor and a focal length; determine a rotation metric indicative of the rotation of the image capture device between the first time and the second time based on the first motion data and the second motion data; determine a translation measure for the second image, relative to the first image, based on the rotation metric and the focal length; and align at least a portion of the second image with at least a portion of the first image in a memory based on the translation measure without performing an image registration that uses image processing operations on the first image and the second image.
8920322
13411711
1
1. A method for valve treatment simulation from medical diagnostic imaging data, the method comprising: estimating, with a processor and a machine-learnt probabilistic model for anatomy detection, an anatomy model of a valve of a patient by inputting input features from the medical diagnostic imaging data of the patient into the machine-learnt probabilistic model; computing, with the processor, a volumetric model of the valve as open, the volumetric model being a function of the anatomy model and including chordae, the computing including extruding a leaflet atrial surface towards a ventricle and adding directional fibers in leaflets to the anatomical model; determining a length of the chordae for the patient; receiving locations for placement of a valve clip relative to the valve; simulating, with the processor, an effect of the valve clip on the volumetric model according to a biomechanical model; predicting, with the processor, the effect on the functioning of the valve, over a sequence of a heart cycle, after and caused by the placement of the valve clip at the locations on the valve, the predicting using the volumetric model and the length of the chordae with mitral annulus and papillary tip motions being constrained from the medical diagnostic imaging data and with limiting collisions of the leaflets; and displaying the effect of the placement of the valve clip at the locations on the valve.
7884804
11170062
1
1. An integrated input/output device for a computer system having a primary display, the integrated input/output device comprising: a plurality of alphanumeric keys for receiving character inputs from a user; an input-sensing display device configured to provide displays supplemental to the primary display of the computer system and to receive display selection inputs from the user, the input-sensing display device positioned proximate the plurality of alphanumeric keys, wherein the display selection inputs correspond to possible correct text units of text displayed on the primary display; and a display device interface configured to provide the display selection inputs to the computer system and to receive supplemental display data for displaying on the input-sensing display device, wherein the input-sensing display device is removable from a first structure at the display device interface, the first structure including the plurality of alphanumeric keys, the display device interface operatively connecting the first structure and the input-sensing display device when connected with each other, wherein the input-sensing display device comprises a computing device having functionality independent of the integrated input/output device.
9025662
14127112
1
1. An image decoding apparatus comprising: a parsing module for decoding intra prediction information from a received bit stream; an intra prediction mode decoding module for decoding an intra prediction mode of a current prediction unit using the intra prediction information and an MPM group including three intra prediction modes; and a prediction block creating module for creating a prediction block using the intra prediction mode, wherein the intra prediction information includes a prediction mode group indicator and a prediction mode index, and the decoding method of the prediction mode index varies depending on the prediction mode group indicator, and wherein, when intra prediction modes of left and top blocks of the current prediction unit are unavailable, the MPM group includes a planar mode, a DC mode and a vertical mode.
20160248985
15050038
0
1. A method, comprising: obtaining a desired field of view for an image arranged to be captured, determining a required field of view of the desired field of view for each active camera sensor of a camera sensor array comprising at least two active camera sensors having a field of view, wherein the required field of view is determined by dividing the desired field of view by a number of active camera sensors comparing the required field of view and the field of view of the at least two active camera sensors; and determining a bend angle between adjacent camera sensors from among the at least two active camera sensors to achieve the desired field of view by the at least two active camera sensors of the camera sensor array, if the required field of view less than or equal to the field of view of the at least two active camera sensors.
10121059
15656350
1
1. A processor implemented liveness test method, the liveness test method comprising: extracting an interest region of an object from a portion of the object in an input image; performing a liveness test on the object using a neural network model-based liveness test model for each of one or more images of the object respectively input to the liveness test model, wherein image information of the interest region is provided, as first input image information, to a first input layer of the liveness test model, wherein image information of the input image or image information of the portion of the object is provided, as second input image information, to a second input layer of the liveness test model, and wherein the performing of the liveness test further includes determining, by the liveness test model, liveness of the object based at least on extracted texture information from the first input image information by the liveness test model and information extracted from the second input image information by the liveness test model; and indicating a result of the liveness test.
20090064085
12201701
0
1. A method of generating a photo mask layout, the method comprising: providing a first photo mask layout including main patterns and sub-resolution assist features (SRAF) patterns; defining a plurality of mesh cells by dividing the first photo mask layout into regions; generating a rule based table including correction information for correcting defects in the SRAF patterns for at least one of the plurality of mesh cells; and correcting the SRAF patterns by applying values of the correction information to the SRAF patterns corresponding to each mesh cell.
8504495
13250109
1
1. A computer-implemented method comprising: providing, by a computer system, a target sample to each of a plurality of trained learning systems; combining, by the computer system, outputs of the plurality of trained learning systems; and locating, by the computer system, one or more samples that match the target sample in one or more data structures using the combined outputs of the trained learning systems.
20120169889
13416232
0
1. A method of controlling depth of field of an image by a computer after the image has been taken based on the data acquired while taking the image, comprising: acquiring multiple images from the same perspective with different focal points; selecting parameters for preparing a displayable image; constructing an image using the data of the acquired multiple images according to the selected parameters; and displaying the constructed image.
20030058340
10183673
0
1. A method for representing an event in a computer vision system, comprising: processing a number of images of said event; and generating a hierarchical HMM to represent said event, said hierarchical HMM including a plurality of paths each representing a variation of said event.
20040215880
10737205
0
1. A computer-implemented method of enhancing cache performance, the method comprising: receiving a temporal data reference profile; detecting one or more hot data streams in the temporal data reference profile; and analyzing the one or more hot data streams and the temporal data reference profile to determine a coallocation solution for allocations in heap memory.
8483515
13044603
1
1. An image processing method of generating an output image of a resolution higher than a resolution of an input image, using the input image, said method comprising: obtaining an edge strength of one of the input image and an image corresponding to the input image; calculating, based on the edge strength, J that is a count of data items to be used for generating a synthesized image to be used in generating the output image, where J is an integer equal to or larger than 2; generating the synthesized image by synthesizing J data items, and generating the output image using the synthesized image; enlarging the input image to generate an enlarged image; and selecting, from K first training data items in a training database, L first training data items respectively corresponding to L second training data items similar to first feature data indicating a feature of a target block included in the enlarged image, the training database storing K pairs of training data items of the K first training data items and K second training data items that are respectively associated with the K first training data items, each of the first training data items being obtained from a high-frequency component of a training image, and each of the second training data items being obtained from at least a low-frequency component of the training image, where K is an integer equal to or larger than 2, and L satisfies 2≦L≦K, wherein the data items synthesized in the synthesizing are the first training data items, and in said generating, the synthesized image is generated by synthesizing J first training data items from among the L first training data items, and the output image is generated by adding the synthesized image to the enlarged image, where J satisfies 2≦J≦L.
9965444
14605974
1
1. A method for converting a fixed format document containing vector graphics and fixed format text into a flow format document, the method comprising the acts of: detecting fixed format text on a page of a fixed format document: detecting one or more vector paths on the page of the fixed format document; aggregating the one or more vector paths associated with the fixed format text into one or more lines; classifying the aggregated vector paths as one or more characteristics that are associated with the fixed format text; displaying on a page of a flow format document the fixed format text as flowable text having the one or more characteristics associated with the fixed format text; and displaying any of the detected vector paths not associated with the fixed format text as one or more graphical elements in the flow format document.
20170220116
15488096
0
1. A computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by an electronic device having a display, and one or more input devices that are configured to generate tactile outputs in response to inputs, cause the electronic device to: receive an indication of an input detected by a respective input device of the one or more input devices; in response to receiving the indication of the input, provide information describing the input to an application running on the electronic device that enables the application to react to the input; receive a reaction to the input from the application that indicates that a tactile output is to be generated in response to the input; and in response to receiving the reaction to the input from the application: compare an input time for the reaction to an output time for the reaction, wherein: the input time for the reaction corresponds to a time at which the input was detected by the respective input device; and the output time for the reaction corresponds to a time at which a tactile output corresponding to the reaction is configured to be generated at the respective input device; determine whether tactile output criteria have been met, wherein the tactile output criteria include a criterion that is met when an input time is less than a predetermined amount of time before the output time; in accordance with a determination that the tactile output criteria have been met, cause generation, at the respective input device, of a tactile output corresponding to the reaction from the application; and in accordance with a determination that the tactile output criteria have not been met, forgo generation, at the respective input device, of the tactile output corresponding to the reaction from the application.
20140130014
13667104
0
1. A method of testing a system under test (SUT) having a service-oriented architecture, the method comprising: generating a first test plan for an inbound interface for each service model; generating a second test plan for an outbound interface of each service model; generating a third test plan for information consumed by the service models using a processor; generating a fourth test plan for a process model, wherein the process model utilizes the service models; generating a fifth test plan that maps service models and the process model to executables of the system; and concatenating the first, second, third, fourth, and fifth test plans into a complete test plan for the SUT using the processor.
10067571
15843753
1
1. A telepresence system comprising: a first multiuser collaboration system comprising a first collaboration server and a first plurality of display devices; and a second multiuser collaboration system comprising a second collaboration server and a second plurality of display devices, wherein the first collaboration server is constructed to: control the first plurality of display devices to display content of a first application session of the telepresence system, and integrate first content of a first remote client device that is communicatively coupled to the first collaboration server with the content of the first application session, wherein the second collaboration server is constructed to: control the second plurality of display devices to display the content of the first application session, and integrate second content of a second remote client device that is communicatively coupled to the second collaboration server with the content of the first application session of the telepresence system, wherein the first collaboration server is constructed to simultaneously receive first event data of a first input device of the first remote client device and second event data of a second input device of the second remote client device, and update display of the content of the first application session by the first plurality of display devices based on the simultaneously received first event data and second event data, and wherein the second collaboration server is constructed to simultaneously receive the first event data and the second event data, and update display of the content of the first application session by the second plurality of display devices based on the simultaneously received first event data and second event data.
6052651
09157572
1
1. A method of determining the position in subsoil of a population of physical phenomena linked with physical properties of the subsoil, said method comprising the steps of: (a) collecting data about the subsoil in order to detect potential classes of physical phenomena existing in the population, the phenomena being marked by points in a multivariate space and defined by an attribute vector, the coordinates of each of the points being attributes associated with the phenomena, using a function expressing a multivariate probability law appropriate for the population; (b) selecting modes corresponding to higher density zones of the function, the number of modes giving a number of potential classes in the population of the phenomena, where for each mode a set of selected points marks the most representative events of each class; (c) determining a classifying function from the selected points; (d) determining probabilities of non-selected points belonging to each of the potential classes by using the determined classifying function; and (e) determining the position of the physical phenomena in the subsoil from the determined probabilities.
20170083787
14858907
0
1. A method for fast cost aggregation for dense stereo matching comprising: receiving first and second images of a scene; rectifying the images; computing a cost volume based on the first and second images; subsampling the cost volume to generate a subsampled cost volume; for each pixel, p, in the subsampled cost volume, determining one or more local extrema in the subsampled cost volume for each neighboring pixel, q, within a window centered on the pixel, p; for each pixel, p, performing cost aggregation using the one or more local extrema; performing cross checking to identify matching pixels to generate a disparity map based on disparities between the matching pixels; responsive to identifying unmatched pixels, performing gap-filling for the unmatched pixels to update the disparity map; and generating and storing a depth map from the disparity map.
20060239554
11387339
0
1. A method for processing a set of medical image data to view a heart, comprising: automatically segmenting a left ventricle of the heart from a set of volumetric image data; determining a directional relationship between the left ventricle and a right ventricle; and defining a plurality of cardiac planes based on the segmented left ventricle.
20090089701
11863183
0
1. A visualization system that generates visualization(s) in an industrial automation environment, comprising: an interface component that receives input concerning displayed objects and information; a context component that can detect, infer or determine context information regarding an entity; a reference component that infers or determines relevance of respective display objects as a function of the context information; and a visualization component that dynamically generates a visualization from a set of display object, and spatially organizes the display objects as a function of the inferred or determined relevance.
20080114758
11600359
0
1. A method executable by at least one computing system of retrieving information using context information comprising: receiving a search request to identify an information item, the search request including a context item comprising circumstantial information related to a previous experience with the information item; searching at least one data store using the context item, so as to identify the information item associated with the context item.
20080254783
12057739
0
1. A method for displaying an image according to a call in a mobile terminal, the method comprising: registering a counterparty's image in a counterparty's phone number information; extracting an image containing the counterparty's image based on the registered image, if a call is generated through a counterparty's phone number; and displaying the registered image and the extracted image.
9218527
13248887
1
1. A method for anomaly detection in streaming data, the method implemented by a processor executing program code stored on non-transient computer-readable media, the method which when executed by the processor comprising: applying statistical analysis to streaming data in a sliding window, wherein the streaming data is received from at least one data source; extracting a feature from the streaming data, the feature identified based on a coefficient having a maximum magnitude in the sliding window; determining class assignment for the feature using class conditional probability densities and a threshold; and, identifying an event based at least in part upon the class assignment for the feature and responding to the event.
20140294254
14093888
0
1. A method of certifying a user by using a learning system, the method comprising: if a reference image is registered, analyzing the reference image by using the learning system to detect characteristic information; storing the detected characteristic information; photographing a user to acquire a user image; analyzing the user image by using the learning system to detect face characteristic information and additional information of the user; comparing the face characteristic information and the additional information with stored characteristic information; and certifying the user based on a result of the comparing.
8483798
11623277
1
1. An MRI apparatus comprising: a magnetic resonance imaging (MRI) assembly having a plurality of gradient coils positioned about a bore of a magnet to impress a polarizing magnetic field and an RF transceiver system and an RF switch controlled by a pulse module to transmit RF signals to an RF coil assembly to acquire MR images; and a system controller coupled to the MRI assembly, the system controller configured to: cause the RF coil assembly to excite a single metabolic species of a hyperpolarized agent injected into a subject of interest, wherein in causing the RF coil assembly to excite the single metabolic species, the system controller is configured to apply a true fast imaging with steady precession (trueFISP) pulse sequence having a low flip angle RF pulse train to the single metabolic species; cause the RF transceiver system to acquire MR signals from the excited single metabolic species; and reconstruct an image from the acquired MR signals.
9549114
14250975
1
1. A focus identification method, the method being executed by at least one processor of a computing device, the method comprising: acquiring discrete image data from a plurality of images of an object, wherein the plurality of images are captured by a charge coupled device (CCD) of a measurement machine every a predetermined time period when the CCD moves along a Z-axis of the measurement machine at a fixed speed, and the discrete image data comprises definitions of the plurality of images and Z-coordinates of the CCD when capturing the plurality of images; computing maxima and minima of the discrete image data; establishing intervals of the discrete image data according to the maxima and minima; selecting an interval from the established intervals; fitting a curve according to the discrete image data in the selected interval, and computing a mathematical expression of the fitted curve; and computing a peak value of the fitted curve as one of focuses of the object according to the mathematical expression, and storing the mathematical expression and the peak value into a storage device of the computing device upon condition that a goodness of fit of the fitted curve meets a predetermined criterion; computing the maxima and the minima of the discrete image data by a formula as follows: X={X[ 0], X[ 1],. .. , X[n− 1]}, wherein X[ 0], X[ 1],. .. , X[n− 1] are the discrete image data; The first derivative of the above forum is: dX=diff ( x )={ X[ 1]− X[ 0],. .. , X[n− 1]− X[n− 2]}; and The second derivative of the above forum is: d 2 X=diff ( diff ( x ))={ dX[ 1]− dX[ 0],. .. , dX[n− 2]− dX[n− 3]}; The maxima of the discrete image data satisfy diff(sign(diff(X)))=−2, and the minima of the discrete image data satisfy diff(sign(diff(x)))=2 wherein sign(r) is a sign function which returns a value 1 when r>0, returns a value −1 when r<0, and returns a value 0 when r=0.
20090034876
12162911
0
1. A method of image analysis of an image in a sequence of images, comprising the steps of: for a plurality of picture information picture elements representing the image, determining a temporal transition in picture information associated with each picture element; and using temporal picture information transitions associated with picture elements to determine a cross-fade measure.
7577902
11012902
1
1. A method for annotating a three-dimensional page of a three-dimensional electronic document, comprising: displaying the three-dimensional page, the three-dimensional page having a first layer intrinsic therewith; receiving, via an annotation tool, an indication of an area of the object to be annotated; annotating a second layer, the second layer intrinsic with the three-dimensional page by marking the area of the three-dimensional page specified by the annotation tool, the second layer being represented by a three-dimensional geometry; and displaying an annotation corresponding to the specified area, wherein the annotation of the second layer is transformed to and displayed in a third layer other than the second layer and the first layer, the third layer being represented in a two-dimensional coordinate system of the three-dimensional page.
20160320185
15024716
0
1. Method for surveying reference points on construction comprising the steps of: setting respective targets at a plurality of reference points provided on a construction; installing a 3D measuring instrument at a central site where all the apexes of a first polygon are viewable, the apexes of the first polygon corresponding to three or more of the reference points, the 3D measuring instrument collimating the targets to output 3D vectors for the targets; measuring 3D coordinates of the reference points in the first polygon in a predetermined coordinate system, from 3D vectors for the apexes of the first polygon which are collimated by the 3D measuring instrument; moving the 3D measuring instrument to a central site where all the apexes of an n-th polygon G(n) (n being an integer of 2 or more) are viewable, the apexes of the n-th polygon G(n) corresponding to three or more of the reference points whose coordinates have been measured and one or more of the reference points whose coordinates have not been measured; measuring 3D coordinates of the post-movement location P(n) of the 3D measuring instrument and the reference points in the n-th polygon G(n) whose coordinates have not been measured in the predetermined coordinate system, from 3D vectors for the apexes of the n-th polygon G(n) which are collimated by the 3D measuring instrument; measuring 3D coordinates of all the reference points on the construction by repeating a cycle from the step of moving the 3D measuring instrument to the central site of the n-th polygon G(n) to the step of measuring 3D coordinates of the reference points in the n-th polygon G(n) whose coordinates have not been measured; and determining 3D coordinates of all the reference points through network-adjustment calculation based on the measured coordinates of all the reference points.
8818875
12235605
1
1. A method of processing a purchase at a point of sale system, said method comprising the steps of: recognizing in an initial analysis using a computer processing system, one or more items placed on a conveyor system dedicated to handling items associated with a single customer for the duration of said purchase, said conveyor system continuously moving when one or more items are resting on said conveyor system regardless of whether or not said one or more items are correctly recognized during said initial analysis; identifying, using said computer processing system, a single customer purchasing one or more items on said conveyor system; invoicing said single customer in close proximity to said conveyor system in the event all of said one or more items placed on said conveyor system are correctly recognized during said initial analysis; and invoicing said single customer at a remote location with respect to said conveyor system in the event items placed on said conveyor system that are not correctly recognized during said step of initial analysis are correctly recognized during a subsequent analysis.
20150161792
14552802
0
1. A method for identifying calcification portions in a dual energy CT contrast agent enhanced scanning image, wherein the method comprises the steps of: filtering the pixels in the dual energy CT contrast agent enhanced scanning image to acquire pixels to be grouped; grouping the pixels to be grouped in a plurality of pixel groups according to the positions of the pixels to be grouped in the dual energy CT contrast agent enhanced scanning image; material-decomposing the pixels in each pixel group; and determining the pixels corresponding to the calcification portions in the plurality of pixel groups according to the result of the material-decomposing.
20150379704
14751383
0
1. A materials handling vehicle comprising a camera, one or more vehicular processors, a drive mechanism configured to move the materials handling vehicle along an inventory transit surface, a materials handling mechanism configured to store and retrieve goods in a storage bay of an industrial facility, and vehicle control architecture in communication with the drive and materials handling mechanisms, wherein: the camera is communicatively coupled to the vehicular processor(s) and captures an input image of overhead features; an industrial facility map comprises a plurality of three-dimensional global feature points associated with a mapping of the overhead features; and the vehicular processor(s) of the materials handling vehicle executes vehicle functions to: (i) determine a localized position of the materials handling vehicle with respect to an inventory transit surface of the industrial facility based on a seed position of the materials handling vehicle in the industrial facility and a dead reckoning associated with the materials handling vehicle; (ii) use an initial set of camera data from the camera comprising two-dimensional UV space information to provide corrective feedback for the localized position; (iii) use the localized position to track navigation of the materials handling vehicle along the inventory transit surface, navigate the materials handling vehicle along the inventory transit surface in at least a partially automated manner, or both; (iv) determine if the materials handling vehicle is lost based on whether the industrial facility seed position comprises incorrect data, whether the camera data is insufficient to correct for an error associated with the dead reckoning, or both; (v) if lost, create a plurality of associated feature pairs by retrieving a subsequent set of camera data from the camera comprising two-dimensional UV space information, forming pairs from the UV space information, and associating pairs from the UV space information with pairs from the plurality of three-dimensional global feature points of the industrial facility map; (vi) calculate respective vehicle poses for associated feature pairs within a visual range of the camera; (vii) calculate a best estimate pose of the materials handling vehicle from the calculated vehicle poses based on a highest-rated pair of the plurality of associated feature pairs; (viii) use accumulated odometry to update the best estimate pose to a current localized position; (ix) update the seed position as the current localized position; and (x) operate the materials handling vehicle utilizing the updated seed position.
8601489
12641155
1
1. A management station for managing events that occur in a group of computer machines under a framework in which results of one or more equations associated with an event determine if an action is to be carried out in response to the event, the management station comprising: a communication interface configured to receive one or more event messages; and a processing unit coupled to the communication interface, wherein the processing unit includes an advanced variable dependency module and a shared variable data store, wherein the advanced variable dependency module is configured to: in response to receiving an event message, determine if the event is associated with one or more equations; and for at least one equation associated with the event, parse and tokenize a character string representing the equation, the character string comprising one or more delimited elements selected from the group consisting of a constant, a variable and a function, wherein each function accepts as input the one or more delimited elements; save the parsed and tokenized character string as a tokenized equation, wherein the tokenized equation identifies each equation element as a shared variable, a number or a function; retrieve corresponding shared variable values from the shared variable data store for evaluating the tokenized equation; evaluate the tokenized equation to calculate an equation result; save the equation result in the shared variable data store; and determine, based on the equation result, if an action should be initiated in response to the event.
20160379474
14753062
0
1. A non-wearable monitoring system comprising: a radio frequency (RF) interferometer configured to transmit signals at a specified area and receive echo signals via an antenna array; an environmental clutter cancellation module configured to filter out static non-human related echo signals; a human state feature extractor configured to extract from the filtered echo signals, a quantified representation of position postures, movements, motions and breathing of at least one human located within the specified area; a human state classifier configured to identify a most probable fit of human current state that represents an actual human instantaneous status; and an abnormality situation pattern recognition module configured to apply a pattern recognition based decision function to the identified states patterns and determine whether an abnormal physical event has occurred to the at least one human in the specified area.
9576341
14524314
1
1. An image-processing system, comprising: an imaging processor that obtains a captured image; and a correction processor that produces a corrected image by correcting an aberration that emerges in the captured image; the correction processor performing processes of: producing at least two processed images by applying different processes to the captured image; producing a masking image by applying a predetermined process to a single image of either the captured image or one of the at least two processed images; producing a composite image by synthesizing the masking image and an other one of either the captured image or one of the at least two processed images, which is not used in producing the masking image, each of the images synthesized in producing the composite image originating from a single image; and producing the corrected image by synthesizing the composite image and the captured image.
7833698
09760119
1
1. A method for determining a response to administration of a cancer chemotherapeutic agent to an individual, comprising: (a) collecting a first tissue or cell sample from the individual before exposing the individual to the cancer chemotherapeutic agent; (b) collecting a second tissue or cell sample from the individual after exposing the individual to the cancer chemotherapeutic agent; (c) staining the first and second tissue or cell samples with one or a multiplicity of stains to determine senescence-associated β-Gal (SA β-Gal) activity, p21 expression, or both SA β-Gal activity and p21 expression; (d) measuring the optical density of the stained tissue or cell samples in step (c), wherein the stained tissue or cell samples are illuminated with light having a wavelength absorbed by the one or a multiplicity of stains; determining whether SA β-Gal activity, expression of p21, or both SA β-Gal activity and expression of p21 was increased following exposure to the cancer chemotherapeutic agent.
9251575
14124323
1
1. An image processing apparatus comprising: an image region dividing portion configured to divide a shot image into a plurality of image regions so that an amount of change of an image quality in each of the plurality of image regions is within a predetermined range when the shot image is blurred using a blur kernel depending on an object distance and an angle of view of the shot image; a blur kernel generating portion configured to generate a plurality of blur kernels for the respective image regions divided by the image region dividing portion; and an image processing calculating portion configured to generate a blur-added image by performing a convolution calculation for the shot image using the blur kernels generated by the blur kernel generating portion.
20160260225
15041656
0
1. A method of estimating a finger movement of a finger using a fingerprint sensor, said method comprising the steps of: a) acquiring a reference fingerprint image at a reference fingerprint image acquisition time; b) acquiring at least one candidate fingerprint image at each candidate fingerprint image acquisition time in a time sequence of candidate fingerprint image acquisition times; c) determining, for each of said candidate fingerprint image acquisition times, a match parameter value for each of a plurality of candidate finger movement directions, said match parameter value being indicative of a correlation between a reference fingerprint image portion corresponding to a reference area of said fingerprint sensor and a candidate fingerprint image portion corresponding to a candidate area of said fingerprint sensor, said candidate area being displaced a given displacement distance in said candidate finger movement direction in relation to said reference area, said given displacement distance in said candidate finger movement direction being the same for each of said candidate fingerprint image acquisition times; d) determining, for each of said candidate finger movement directions, a local extremum match parameter value indicating a maximum correlation for said time sequence of candidate fingerprint image acquisition times; and e) estimating said finger movement based on an evaluation of said determined local extremum match parameters.