doc_id
stringlengths
7
11
appl_id
stringlengths
8
8
flag_patent
int64
0
1
claim_one
stringlengths
12
36k
20150261223
14307402
0
1. A mapping system configured to map parameters acquired by a robotic system in an environment, the mapping system comprising: non-volatile memory configured to store computer-executable instructions; and a hardware processor in communication with the non-volatile memory, the hardware processor configured to execute the computer-executable instructions to at least: measure a first set of parameters that characterize the environment; estimate a first current pose of the robotic system at a first location in the environment; define a first anchor node representing the estimate of the first current pose; generate a first grid associated with the first anchor node, wherein the first grid comprises a map of the first set of measured parameters, wherein the first set of measured parameters are mapped relative to the first pose; determine an estimate of a second current pose of the robotic system at a second location in the environment; determine an uncertainty between the estimate of the second current pose and the estimate of the first current pose; and if the uncertainty is greater than a first threshold, then: generate a second grid associated with a second anchor node, the second anchor node representing the estimate of the second current pose of the robotic system, wherein the second grid comprises a map of a second set of measured parameters mapped relative to the second current pose.
8762164
12786125
1
1. A method comprising accessing, on a processor, a plurality of pharmacy claims associated with an individual; generating, on a processor, a raw risk index indicative of at least one of said individual's medical costs, acute medical conditions, and variation in medical costs, by using the plurality of pharmacy claims; processing, on the processor, the plurality of pharmacy claims to identify a plurality of compliance medications prescribed to the individual; associating, on the processor, a regression coefficient with each compliance medication of the plurality of compliance medications; determining, on the processor, compliance of the individual with the plurality of compliance medications to generate a plurality of compliance medication scores a compliance medication score of the plurality of compliance medication scores being associated with a compliance medication prescribed to the individual; multiplying, on the processor, each of the plurality of compliance medication scores with an associated regression coefficient of the plurality of coefficients, the plurality of regression coefficients including the regression coefficient; and modifying, on the processor, the raw risk index based on multiplying each of the plurality of compliance medication scores with the associated regression coefficient to generate the risk index.
8798314
13002932
1
1. A method of detecting a vehicle represented in an image of a night time scene, the method comprising the steps of: (a) identifying a candidate pair of headlights in an image based on luminance of points in the image; (b) identifying a sub-image of the image sized to include a candidate vehicle having the pair of candidate headlights; and (c) determining whether the candidate vehicle is a vehicle represented in the image by testing the sub-image for the presence of predetermined features of a vehicle other than the headlights.
20020003415
09782159
0
1. A machine tool comprising: a tool for working; a photographing unit which acquires an image of said tool; and a determination unit which determines whether said tool is faulty based on the image acquired by said photographing unit.
9805722
11948075
1
1. A method of interactively recognizing a spoken phrase using a database in which is stored reference terms, the reference terms being organized into categories, the method comprising: (a) forming, by an interactive speech recognition system, an initially empty path in an output memory of the interactive speech recognition system, receiving terms identified in the spoken phrase into an input memory of the interactive speech recognition system, and loading one or more reference terms of a first category from the database into a list memory of the interactive speech recognition system; (b) determining by the interactive speech recognition system when one or more of the reference terms in the list memory matches one or more terms of the spoken phrase in the input memory, and continuing with process (a) when there is no match; (c) determining by the interactive speech recognition system, that the spoken phrase has been recognized when one or more paths in the output memory uniquely identify a database entry; (d) determining by the interactive speech recognition system when the list memory has sufficient capacity to load the reference terms of a set of subsequent categories, each category in the set being determined by a respective path stored in the output memory, and when the list memory has insufficient capacity, eliminating by the interactive speech recognition system one or more paths from the output memory based on supplemental user input; (e) replacing, by the interactive speech recognition system in the output memory, each given path with a set of extended paths for disambiguating the spoken phrase, each path in the set of extended paths being formed by the interactive speech recognition system by concatenating to the given path a different reference term in the list memory that matches the given path, wherein when the given path matches no such reference terms, the set includes no extended paths and the given path is deleted from the output memory by the interactive speech recognition system; (f) loading the list memory by the interactive speech recognition system with the reference terms of the set of categories, and continuing with process (b); and (g) controlling, by the interactive speech recognition system after determining that the spoken phrase has been recognized, a system in communication with the interactive speech recognition system.
20140376936
14482483
0
1. A recording-material identifying apparatus comprising: an illuminating unit configured to illuminate a first surface of a recording material with light; an image-pickup unit configured to pick up, as an image, the light being emitted from the illuminating unit and being reflected by the first surface of the recording material; a pressing unit configured to press a second surface of the recording material, the second surface being opposite the first surface, wherein the pressing unit presses a first area of the second surface with a first force, and a second area, which is different from the first area, of the second surface with a second force, which is smaller than the first force, and a control unit configured to identify a type of the recording material based on an image of an area of the first surface corresponding to the second area of the second surface, the image being picked up by the image-pickup unit.
20160035083
14244181
0
1. A method of analyzing the placenta comprising: selecting a placental sample to be analyzed; preparing a histology slide of tissue taken from said placental sample, staining the histology slide using an immunohistochemistry stain, obtaining a digital image of the stained slide; and performing an automated computer analysis on the digital image, wherein the number of trophoblast stromal inclusions is measured.
20050213655
10912833
0
1. Device for compressing a source image by means of a base layer, coding a base image, and of an enhancement layer, coding a residual existing between the source image and the base image, the source image and the base image being structured as blocks of pixels, comprising means for generating the enhancement layer of a block (k) as a function of the quality (psnr k ) of restitution of this block (k), determined by comparing the coding of this block in the source image with the coding of this block in the base image, and/or as a function of information coded by this block of pixels.
20150035696
13958240
0
1. A method for determining an angle of arrival of a radar signal received from an emitter, the method comprising; in a radar receiver system, given a radiation pattern of an antenna receiving a radar signal from an emitter, in an initial iteration, representing an approximation of the pattern as plurality of windows, each window defined by two boundaries and each of the boundaries having an azimuth angle value and an amplitude value, the approximation further includes an inflexion point being a boundary having an amplitude value higher than the other boundaries; for each of the boundaries, adjusting at least one of a respective azimuth angle value or amplitude value of a subject boundary; generating a next approximation of the pattern based on the adjustment to the subject boundary; comparing the next approximation to an approximation of the pattern generated in a prior iteration, which includes the initial approximation; comparing a slope associated with a portion of the next approximation represented by each window to a non-zero threshold value; determining whether the next approximation is constantly increasing on one side of the inflexion point and constantly decreasing on the other side of the inflexion point; identifying the next approximation as an optimized monotonic fit—based on the comparisons and determination; and calculating an angle of arrival of the radar signal received from the emitter based on the optimized monotonic fit.
20160241830
14966002
0
1. An image processing method comprising: receiving an image comprising a plurality of pixels; compensating a color temperature of at least one pixel of the image according to a color of the at least one pixel; and outputting the image according to a result of the compensating, wherein the compensating comprises: measuring a color temperature of the at least one pixel; and applying a color temperature compensation value to the at least one pixel based on the measured color temperature and the color of the at least one pixel.
20130106837
13478449
0
1. A method comprising: receiving a two-dimensional image to be converted to a first three-dimensional image; computing, by a processing device, a feature-to-depth mapping function based on an approximate depth map associated with a second three-dimensional image; applying the feature-to-depth mapping function to a plurality of pixels of the two-dimensional image to determine a depth value for each of the plurality of pixels; and generating the first three-dimensional image based on the depth values for the plurality of pixels of the two-dimensional image.
9721021
14288058
1
1. A method comprising: receiving, by a processing device, an encoded device profile indicating device features of a user device, wherein the device features indicate one or more native applications installed on the user device; identifying, by the processing device, the device features of the user device based on the encoded device profile; receiving, by the processing device, a search query from the user device; performing, by the processing device, an application search based on the search query to identify a consideration set of records, wherein each record in the consideration set of records corresponds to a respective native application; for each record in the consideration set of records: generating, by the processing device, a result score based on at least one of an application scoring feature, a query scoring feature, and an application-query scoring feature, wherein: the application scoring feature includes data corresponding to a popularity of the record; the query scoring feature includes at least one of a number of words in the search query, a popularity of the search query, and an expected frequency of words in the search query; and the application-query scoring feature includes parameters that indicate a degree of matching between words of the search query and words of the record; determining, by the processing device, a boosting factor based on the device features of the user device, wherein the boosting factor is a first value in response to the respective native application not being installed on the user device, and wherein the boosting factor is a second value in response to the respective native application being installed on the user device; adjusting, by the processing device, the result score based on the boosting factor; generating, by the processing device, search results based on a subset of the consideration set of records, wherein the subset is selected based on the result scores of the consideration set of records; and transmitting, by the processing device, the search results to the user device.
20140247230
13945649
0
1. A system for determining a touch contact object type, comprising: a communication interface configured to receive a signal detected due to a touch input object contacting a touch input surface; and a processor coupled with the communication interface and configured to: compare at least a portion of the received signal with one or more signatures of one or more touch input object types; and determine a type of the touch input object contacting the surface based at least in part on the comparison.
20110298951
13100568
0
1. An imaging apparatus comprising: an optical elements that disperses an incoming light from a subject into a first light composed of wavelength components in a visible light region only, and a second light which does not contain the first light and which is composed of wavelength components in other than visible light region only; a color image pickup device that receives the first light irradiated from the optical element; and a monochrome image pickup device that receives the second light irradiated from the optical element.
20140270134
13840613
0
1. A method of analyzing contact center data, comprising: obtaining a location data of a source; obtaining at least one performance measure; correlating the location data and the at least one performance measure to obtain a correlation; and analyzing the correlation to obtain an analysis report.
9298814
13839817
1
1. A non-transitory computer readable medium storing computer-executable instructions for creating a plurality of classification rules to classify an electronic document from an electronic media source, the instructions including generating statistical data from one or more training documents, and creating a plurality of classification rules, including creating at least one topic model-based classification rule using the statistical data and creating at least one query-based classification rule using one or more user defined categories and the statistical data.
20140250137
14278382
0
1. A computer-implemented method comprising: accessing a cumulative feature store storing feature values determined from user actions performed before a time point; accessing an incremental feature store storing feature values determined from user actions performed after the time point; calculating, by a computer processor of an online system, a weighted combination of feature values from the incremental feature store and corresponding feature values from the cumulative feature store; updating the cumulative feature store by replacing the corresponding feature values in the cumulative feature store with the weighted combination of feature values; receiving an update to one or more of the feature values stored in the incremental feature store, the update comprising a new value for one or more of the feature values; and updating the incremental feature store based on the received update by replacing the corresponding feature values in the incremental feature store with feature values in the received update.
10049306
15393815
1
1. A system, comprising a non-transitory memory storing instructions; a processor configured to execute the instructions to cause the system to: access raw data associated with a plurality of user accounts for determining an information type; organize the raw data into organized raw data to arrange, in a matrix form, instances of user accounts and corresponding features; analyze organized raw data to determine a normalizing technique, the normalizing technique based on a resolution level; map each instance of user accounts to an image on a circle, the mapping including linking projected normalized features on the circle to generate the image; and in response to the generating of the image, perform image classification of the image for the determining of the information type.
8584112
12503052
1
1. A method, comprising: integrating, using an application lifestyle management framework targeting complex software development that is hosted on one or more computers and having one or more interchangeable services, the one or more services with one or more interchangeable applications using one or more providers, wherein each of the one or more providers is adapted to at least one of the one or more applications; registering one or more repositories associated with the one or more applications using a location service module; receiving an input creating a project context associated with a project, data associated with the input being stored in a data structure associated with the project, the data structure being stored in a repository associated with the framework; generating a link, after registering the one or more repositories, between one or more element containers associated with the project, the link and the one or more element containers being stored in the repository; and configuring the framework to detect another input indicating interaction with an artifact, other data associated with the interaction being mapped between the one or more repositories and the repository using a domain model.
20030061140
10189562
0
1. An evaluation system, for generating a predicted value of a technology, comprising: a first database for storing a set of stock prices of each company of a group of reference companies; a second database for storing a set of net asset values of each company of the group of reference companies; an intangible asset pricing device, responsive to the set of stock prices and the set of net asset values of each company the group of reference companies, for producing a set of intangible asset predicted values of each company of the group of reference companies; a factor producing device, responsive to a first predetermined condition, for dividing the group of reference companies into N compared subgroups, the factor producing device also being responsive to the N compared subgroups and the set of intangible asset predicted values of each company of the group of reference companies and producing a set of referred factors of any of the N compared subgroups; a input device for inputting a predetermined time and a predetermined cost of the technology needed for launch, and an analytic device for mapping the technology to a corresponding subgroup of the N compared subgroups, the analytic device also being responsive to the predetermined time, the predetermined cost and the set of referred factors of the corresponding subgroup for producing the predicted value of the technology.
20160155020
14557891
0
1. A method comprising: providing a universal generative model of local descriptors; adapting the universal generative model to a first camera to obtain a first camera-dependent generative model; adapting the universal generative model to a second camera to obtain a second camera-dependent generative model or using the universal generative model as the second camera-dependent generative model; from a first image captured by the first camera, extracting a first image-level descriptor using the first camera-dependent generative model; from a second image captured by the second camera, extracting a second image-level descriptor using the second camera-dependent generative model; computing a similarity between the first image-level descriptor and the second image-level descriptor; and outputting information based on the computed similarity, wherein at least one of the adapting the universal generative model to the first and second cameras, extracting the first and second image-level descriptors and the computing of the similarity is performed with a computer processor.
20090202107
12068651
0
1. An object detection and recognition system for a vehicle, comprising: at least one image capture device; a vision controller configured to receive images from the image capture device; an object detector configured to recognize an object of interest within the received images; and a vehicle controller for receiving the object of interest and configured to control a vehicle subsystem in response to recognition of the object of interest.
20150161120
13488572
0
1. A method performed by a data processing apparatus, comprising: for each image of a plurality of images: identifying web pages that each include the image; receiving, for each of the web pages identified for the image, a web score generated by a ranking algorithm, the web score being a measure of importance of the web page relative to other web pages; selecting the web page having a web score indicating a highest importance relative to other web pages; determining, from each image for which a selected webpage was identified, sets of similar images from only the images for which selected webpages were identified, each set of similar images including different images that are derived from a same source image; for each set of similar images: selecting, from the set of similar images, a landing page for an image search result that depicts an image from the set of similar images, the landing page being the selected web page that includes an image from the set of similar images and has a web score indicating a highest importance relative to other web pages that respectively include each of the other similar images of the set.
20100274833
12766350
0
1. A server for communicating with a plurality of monitoring devices via a network, each monitoring device acquiring monitoring variables (1˜H; H is an integral number larger than 1) from an observation target and generating an individual multidimensional distribution of the monitoring variables, the server comprising: a receiving unit configured to collect the individual multidimensional distribution from each monitoring device, a first space defined by axes of the monitoring variables (1˜H) being divided into a plurality of first elements at each monitoring device, the individual multidimensional distribution representing a probability density or a frequency of the monitoring variables belonging to each first element in the first space; a first server side generation unit configured to generate first sampling data by sampling the individual multidimensional distribution collected, to determine a first discretion parameter using the first sampling data so that a first evaluation function including the first discretion parameter is maximized or minimized, the first discretion parameter indicating a method for dividing the first space, to divide the first space into a plurality of second elements by the first discretion parameter, and to generate an overall multidimensional distribution representing a probability density or a frequency of the first sampling data belonging to each second element in the first space; a statistical estimation unit configured to determine a model parameter of statistical models (1˜K; K is an integral number larger than 1) using the overall multidimensional distribution so that a second evaluation function including the model parameter is maximized or minimized, the model parameter being used for calculating indexes (1˜K) to evaluate a state of each observation target from the monitoring variables; a second server side generation unit configured to generate a second sampling data by sampling the overall multidimensional distribution, to calculate index data of the indexes (1˜K) by calculating the statistical models with the second sampling data, to determine a second discretion parameter using the index data so that a third evaluation function including the second discretion parameter is maximized or minimized, the second discretion parameter indicating a method for dividing a second space defined by axes of the indexes (1˜K), to divide the second space into a plurality of third elements by the second discretion parameter, and to generate an overall index multidimensional distribution representing a probability density or a frequency of the index data belonging to each third element in the second space; and a transmission unit configured to transmit the overall index multidimensional distribution and the statistical models (1˜K) having the model parameter to each monitoring device.
9152925
13796354
1
1. A method, comprising: receiving fault, configuration, administration, performance, and security (FCAPS) data; receiving session logs; categorizing, partitioning, and preparing the fault, configuration, administration, performance, and security (FCAPS) data into an input set and output set configured for generating offline and online prediction, and for providing offline root cause recommendations of service access quality of experience (QoE) issues; offline training, evaluating, and validating of a model configured for learning in areas of the service access quality of experience (QoE) issues, based on the output set; and utilizing the trained, evaluated, and validated model to execute a prediction function to provide the offline root cause recommendations for the service access quality of experience (QoE) issues.
7948662
11553564
1
1. An image processing apparatus for reading a document image and converting the read document image into image data, comprising: a reader constructed to read a document image to generate image data of the document image; a corrector constructed to perform shading correction on the generated image data using a shading coefficient which is based on a reflection density of a correction region to which a correction fluid is applied; a detector constructed to detect a background of the corrected image data; and a first extractor constructed to extract a lower density region having a density lower than a density of the detected background.
10104345
14970210
1
1. A method for video processing, comprising: receiving, at a video system, a request from a first client to provide specified data on a video sequence that is available at a specified location; accessing, by the video system, the video sequence from the specified location; analyzing, by the video system, the video sequence to extract the specified data, wherein the specified data is derived from objects in the video sequence; processing the video sequence on a frame-by-frame basis to extract object boundaries of objects present in a frame; determining whether a first frame of the video sequence and a second frame of the video sequence are frames from a scene in common; identifying a track, comprising a plurality of frames including the first frame and the second frame, where an identified object appears in each frame of the track; selecting a partial video image from one frame of the track to represent the identified object; and providing the specified data and the partial video image from the video system to the first client.
6148168
09390931
1
1. An image forming apparatus comprising: an image forming portion having a multiple image forming stations, each forming a color separated image with a corresponding developer in accordance with color-separated image information; a transfer means for superimposing color separated images formed on the multiple image forming stations, one over another and transferring the superimposition; a pattern image forming means for making each image forming station form a predetermined pattern image; a pattern image density measuring means for measuring the density of the pattern image; and a timing control means which performs control in such a sequence that one image forming station to be the reference, in the image forming portion, forms multiple pattern images; one image forming station to be adjusted forms the same number of pattern images at timings which are shifted from one another by integral multiples of a predetermined unit time so that these formed pattern images are superimposed over the pattern images formed by the reference image forming station; the pattern image density measuring means measures the density of the multiple superimposed pattern images so as to judge superimposed states of the pattern images based on the measured densities; and the image forming station to be adjusted is controlled so as to perform image forming at a timing which can produce a measured density value closest to the preset value.
20060038125
11189897
0
1. Electric charged particle beam microscopy wherein specimens are irradiated with charged particle beams and secondary charged particle beams generated by the specimens are detected thereby to obtain an image of the specimens, the microscopy comprising: a step of taking a first image with a known magnification to specimens by irradiating specimens with charged particle beams under a first control condition; a step of taking a second image having a common field of view with the first image by irradiating specimens with charged particle beams under a second control condition; a step of processing images for analyzing a magnification of the second image to the first image from the common field of view; a step of calculating the magnification of the second image to the specimen from the magnification of the first image to the specimens and the magnification of the second imaged to the first image; and a step of recording the magnification of the second image to the specimen along with the second control condition.
9846812
14865153
1
1. An image recognition system for a vehicle comprising: at least two cameras, each camera configured to record an image of a road in the vicinity of the vehicle and to provide image data representing the respective image of the road; a first image processor configured to combine the image data provided by the at least two cameras into a first top-view image, wherein the first top-view image is aligned to a road image plane; a first feature extractor configured to extract lines from the first top-view image; a second feature extractor configured to extract an optical flow from the first top-view image and a second top-view image, which was generated before the first top-view image by the first image processor; and a kerb detector configured to detect kerbs in the road based on the extracted lines and the extracted optical flow and provide kerb data representing the detected kerbs, wherein the second feature extractor is configured to extract the optical flow as a first set of optical flow vectors, wherein the kerb detector is configured to separate the first set of optical flow vectors into a first subset of optical flow vectors and a second subset of optical flow vectors for the extended lines based on relative location between the optical flow vectors, the extracted lines, and the vehicle, wherein the kerb detector comprises a motion model calculator, which is configured to calculate at least a fitted global motion model comprising a rotation and a translation, based on the first set of optical flow vectors, and based on inline vectors of the first set of optical flow vectors, and wherein the kerb detector is configured to calculate based on the at least one fitted global motion model for every detected line a first noise distribution for the respective first subset and a second noise distribution for the respective second subset and detect a kerb at the position of the respective line if the difference between the first noise distribution and the second noise distribution exceeds a predetermined threshold.
9551770
14164133
1
1. A method comprising: (a) placing an object to be imaged in a substantially uniform non-zero magnetic field B 0 ; (b) with the object positioned in the magnetic field B 0 , applying to the object a repeating sequence of (i) one or more RF pulses, (ii) one or more non-zero slice-selection field-gradient pulses, (iii) one or more phase-encoding field-gradient pulses, and (iv) one or more non-zero readout field-gradient pulses; (c) during at least a portion of each repetition cycle of the pulse sequence, applying to the object a non-zero modulating field gradient; (d) detecting and recording steady-state spin echo or gradient echo signals for multiple repetition cycles of the pulse sequence; and (e) extracting from the recorded steady-state echo signals a steady-state signal magnitude or a steady-state signal phase for each voxel of a complex-valued image of the object, wherein: (f) repetition time T R of the pulse sequence is less than the longitudinal relaxation time T 1 of the object; and (g) the modulating field gradient imparts spatial modulation of the steady-state signal phase and magnitude across the complex-valued image of the object along the direction of the modulating field gradient.
8026916
12168718
1
1. A method for visualizing changes in a three dimensional (3D) model, comprising: generating initial environmental information by placing light sources at known coordinates when an initial 2D photograph of a person's hair is taken; receiving the initial 2D photograph of the person's hair; receiving an initial 3D model of the person's hair; designing a virtual hair growth, for the person's hair based at least partially on the initial 2D photograph, the initial 3D model, and a growth model using a database of prior hair growth information; determining a target 3D model of the hair for the person based on the initial 3D model and the virtual hair growth; mapping the hair from the initial 3D model to the target 3D model; interpolating between the initial 3D model and the target 3D model to determine a post-hair growth 3D model of the hair, including: generating a complete 3D model of the hair of the person using the person's 3D geometry, texture, shadow, and shading, that includes bone, teeth, gingiva, joint, muscle, soft tissue, and skin information; and adding missing data from one or more of the bone, teeth, gingiva, joint, muscle, soft tissue, and skin information from a database of known hair models; inputting the coordinates to the post-hair growth 3D model; rendering a 2D photo realistic image of the hair of the person based on the post hair growth 3D model; and displaying the 2D photo realistic image; wherein the method is performed by a computer.
8294778
12323698
1
1. An image processor comprising: an image input unit configured to input a multiple image including superimposed images, wherein the superimposed images comprise images of a subject which are superimposed on each other; a frequency transformation unit configured to perform frequency transformation processing with respect to the input multiple image; and an inter-superimposed-image displacement calculation unit configured to calculate a displacement amount between the images forming the superimposed images included in the input multiple image by using a frequency-transformed image subjected to the frequency transformation processing; wherein the inter-superimposed-image displacement calculation unit converts a length of one cycle of a waveform specified by a power spectrum of the frequency-transformed image into the displacement amount between the images; and wherein the inter-superimposed-image displacement calculation unit measures a cyclic structure of a sinusoidal wave represented by the power spectrum and converts a length of one cycle of the sinusoidal wave specified by the measured cyclic structure into the displacement amount between the images.
20110215932
13029292
0
1. A system comprising: a. at least one processor; b. at least one sensor; and c. computer executable instructions readable by the at least one processor and operative to: i. use the at least one sensor to determine a number of persons or identity of a person; and ii. trigger an alarm based on the number of persons or the identity of the person.
20110134312
12962649
0
1. A method to generate a focus signal from a plurality of edge widths to indicate a degree of image sharpness in an image, each edge width belonging to one among a plurality of edges in the image, comprising: determining that a gradient profile across an edge in the image has a first value for a first parameter measured at a first gradient level and a second value for a second parameter measured at a second gradient level, the first and second gradient levels being different gradient values defined as a first fraction and a second fraction, respectively, of a peak gradient value of the edge, both the first and second parameters being determined based on the gradient profile to both sides of a peak of the gradient profile; determining whether the first value meets a predetermined criterion that depends on the second value; and, rejecting or attenuating a contribution of an edge width of the edge in generating the focus signal where the edge does not meet the predetermined criterion.
20040156546
10758711
0
1. An image processing system comprising: a first processing layer adapted to perform object-independent processing, wherein said object-independent processing is further adapted to include a plurality of processors corresponding to the first processing layer, and wherein each of the plurality of the processors is associated with a different one of pixels of an image frame; a second processing layer adapted to perform object-dependent processing; and a third processing layer adapted to perform object recognition and association.
9330326
14474254
1
1. A system for providing content to a mobile device comprising: at least one sensor configured to capture (a) digital data that includes a representation of a transmitted signal within an environment and (b) image data that includes a representation of an object in the environment; and a recognition platform coupled with the at least one sensor and configured to: obtain the digital data that includes the representation of the transmitted signal, and the image data that includes the representation of the object; recognize the transmitted signal as being associated with a computing device target object based at least in part on a decoded pattern in the transmitted signal, and recognize the object represented in the image data; identify content information associated with the computing device target object or object and available at an address; and enable the mobile device to perform an action based on the content information available at the address.
9076023
13697059
1
1. A method for determining one or more clothes dimensions of a person, which method comprises the steps: the person provides at least one, profile image of himself/herself; the person sends the at least one profile image to processing means; the person supplies calibration data including alphanumeric data, being the length of the person, to the processing means; the processing means scale the at least one profile image using said length to produce a scaled profile image; the processing means determine person profiles of the person from the at least one scaled profile image; and the processing means determine using said person profiles, and at least partially using a data set with representations of virtual persons or clothes, one or more clothes dimensions of the person.
20170032492
14811256
0
1. A system comprising: one or more data processing devices; said one or more data processing devices including a local memory configured to store a character hierarchical data structure for maintaining parameter values associated with geometric shapes for a vector graphic character, the vector graphic character having a plurality of character part objects represented as the geometric shapes; said one or more data processing devices configured to perform a character scaling section that, upon receiving a command to change a scale of one or more said character part objects of the two dimensional character displayed in an interaction display area of a display device, executes vector graphic scaling functions to arbitrarily change scale of the character part object based on said parameters, stores updated proportions as values of said parameters relative to default dimensions of the character part objects in the character hierarchical data structure, and displays in the interaction display area of the display device a scaled two dimensional character in accordance with the updated proportions; said one or more data processing devices configured to retrieve one or more animation templates from an animation memory, and apply the animation templates to a basic graphic character having default dimensions in order to display one or more different types of animations of the basic graphic character; said one or more data processing devices configured to perform an animation section that upon selection of one of said animation templates, applies the selected animation template to the scaled vector graphic character; and display in the display device an animation of the scaled two dimensional character based on the selected animation template.
20130080066
13618327
0
1. A computer implemented method of modeling a reservoir property of subsurface reservoir structure by support vector machine processing in the computer of input data available from the reservoir to form measures of the reservoir property at regions of interest in the subsurface reservoir by regression analysis of the available input data, the method comprising the computer processing steps of: (a) receiving training input data about subsurface attributes from seismic survey data obtained from seismic surveys of the reservoir; (b) receiving training target data about formation rock characteristics from data obtained from wells in the reservoir; (c) selecting formation attribute parameters for support vector machine modeling by cross-correlation of the training input data with the training target data; (d) optimizing the selected formation attribute parameters; (e) providing the training input data and the optimized selected formation attribute parameters as inputs for support vector machine modeling; (f) performing support vector machine modeling to predict the reservoir property based on the optimized selected formation attribute parameters; and (g) forming an output display of the predicted reservoir property.
7986810
12573128
1
1. A method of processing sequential frames of data, the method comprising repeating the following steps for successive frames of data: acquiring with a video camera at least a reference frame containing data points and a current frame of data points; and processing the at least a reference frame and a current frame in a data processor by; identifying a set of anchor points in the reference frame, where the distribution of anchor points is based on texture of the reference frame; assigning to each anchor point in the reference frame a respective motion vector that estimates the location of the anchor point in the current frame; defining polygons in the reference frame, each polygon being defined by anchor points; assigning tracking points to at least one object represented in the reference frame, each object being formed by one or more polygons and each tracking point corresponding to a feature of the object; and analyzing the object using the tracking points.
8301429
12575970
1
1. An iterative multi-scale computer-implemented method for use in simulating fluid flow in a subsurface reservoir, the method comprising: executing on one or more data processors: creating a fine grid defining a plurality of fine cells associated with a geological formation of the subsurface reservoir, a coarse grid defining a plurality of coarse cells having interfaces between the coarse cells, the coarse cells being boundaries aggregates of the fine cells such that each coarse cell contains a fine cell that defines a coarse node, and a dual coarse grid defining a plurality of dual coarse control volumes, the dual coarse control volumes being aggregates of the fine cells and having boundaries bounding the dual coarse control volumes; calculating basis functions on the dual coarse control volumes by solving local elliptic problems; calculating correction functions on the dual coarse control volumes by solving the local elliptic problems with fine grid source terms; solving pressure values at the coarse nodes that account for fluxes induced by the correction functions; interpolating the pressure values at the coarse nodes into the fine cells using the basis functions and the correction functions to obtain an interpolated fine grid pressure; and updating the interpolated fine grid pressure using an iterative multi-scale method comprising, for each iteration: (i) applying a smoothing scheme to the fine grid pressure; (ii) using the fine grid pressure that has been smoothed in step (i) to recalculate the correction functions; (iii) applying a restriction operation comprising using the recalculated correction functions from step (ii) to solve for the pressure over the coarse grid; and (iv) applying a prolongation operation to the pressure solved over the coarse grid from step (iii) to reconstruct an updated solution for the fine grid pressure; wherein the pressure calculated using the iterative multi-scale method is used to simulate fluid flow in the subsurface reservoir.
20040070626
10662362
0
1. An image editing method comprising the steps of: instructing to move an arbitrary point of an image displayed in an image display area among image data; calculating an image movement amount and a magnification ratio in response to the instruction to move the arbitrary point; and displaying a predetermined area of the image data in the image display area on the basis of image movement amount and the magnification ratio, which are calculated in the calculating step.
20170108450
15292811
0
1. A method for the spectral analysis of samples in a graphite tube, comprising the steps of: (a) inserting a liquid sample into a graphite tube having an interior; (b) drying said sample by heating said graphite tube; (c) transferring said sample into a particle cloud by further heating up said graphite tube thereby generating optical signals or providing optical signals influencing conditions in said particle cloud; and (d) measuring one of said optical signals influenced or generated by said sample in said particle cloud with a detector; wherein (e) image sequences of images of said interior of said graphite tube are recorded with a two-dimensional camera having a plurality of image elements over selected periods of time for spectral analysis; (f) said images of said image sequences are automatically processed with image processing methods, (g) a reference image of said interior of said graphite tube is determined; and (h) the condition of said graphite tube, of said sample and/or of a dosing means for the inserting said sample into said graphite tube is determined by comparison of said images of said image sequences to said reference image.
20120128165
13280309
0
1. A method of decomposing a multichannel audio signal, said method comprising: for each of a plurality of frequency components of a segment in time of the multichannel audio signal, calculating a corresponding indication of a direction of arrival; based on the calculated direction indications, selecting a subset of the plurality of frequency components; and based on the selected subset and on a plurality of basis functions, calculating a vector of activation coefficients, wherein each activation coefficient of the vector corresponds to a different basis function of the plurality of basis functions.
20110074976
12571070
0
1. A method of detecting substantially parallel thin lines in an image implemented on a device comprising: a. generating a profile using a processor; and b. analyzing the profile using the processor to determine whether the thin lines exist.
20060263121
11280444
0
1. An image forming apparatus comprising: a plurality of sequentially arranged image carriers; a conveying belt which conveys a print medium onto which color-separated images formed on the plurality of image carriers are overlapped; and a plurality of image transfer rollers installed to respectively correspond to the plurality of image carriers with the conveying belt being interposed between the image transfer rollers and the image carriers, wherein at least one of the plurality of image transfer rollers is arranged to be compressed with a pressure higher than those applied to the other image transfer rollers against the plurality of image carriers.
9360336
14410751
1
1. A navigation device having a range indicator for an electric driving mode of a motor vehicle, comprising: an evaluation device comprising at least one processor to determine a maximum range within which the motor vehicle is expected to be able to travel in a current electric driving mode using remaining energy stored in a storage of the motor vehicle which stores energy to be supplied to the electric motor, the maximum range being defined as an action area delimited by an edge having a profile; specially programmed graphics processor coupled to the evaluation device, to receive data on the profile of the edge of the action area and to generate, based on graphics data of a roadmap to be displayed, a representation of the roadmap with the action area, the representation having a vertically offset region which is represented vertically offset with respect to a plane of the action area, the vertically offset region having an edge with a profile that corresponds to the profile of the edge of the action area; and a display coupled to the evaluation device via the graphics processor, to display the roadmap on which the edge of the action area is represented with the vertically offset region.
20050033592
10779039
0
1. A two-pass method for Harmonized Tariff Schedule (HTS) classifications using a software user interface to an electronic database system for storing and classifying HTS codes for importing products, comprising: analyzing, by a first person, information published by U.S. Customs pertinent to classifications of HTS codes and assigning, based on an analysis of the information, respective HTS codes to the products; storing each assignment into a classification repository of the electronic database system using the software user interface at a first terminal; accessing, by a second person different from the first person, the classification repository of the electronic database system using the software user interface at a second terminal, the accessing by the second person being subsequent to the storing of the assignments; reviewing, by the second person, the assignments for accuracy; and entering, by the second person into the classification repository using the software user interface at the second terminal, one or more changes to the assignments stored by the first person.
20030108223
10195629
0
1. A method for aligning images from two different spectral images, comprising the steps of (a) identifying spectrum-dependent minutiae in each image; (b) identifying coincident minutiae which occur in both images; and (c) overlaying the coincident minutiae by morphing one image to the other image to determine whether there is a match of the two images.
9304977
13946435
1
1. A data evaluation system comprising: at least one module, executing on one or more computer processors, to implement: a language and character set phase, to receive from a client device an authorized character set comprising some authorized characters from among one or more libraries of characters; a document phase including receipt of an input document, the input document comprising document characters; a detection phase including a comparison of the document characters against the authorized characters in the authorized character set to detect unauthorized characters in the input document not forming part of the authorized character set; and a reporting phase to receive from the client device a report configuration, and based on the report configuration cause display of the unauthorized characters to a user within a report.
20130191377
13451827
0
1. A computer readable medium having instructions stored thereon that, when executed by a processor, causes the processor to generate one or more recommended items for a user, the instructions comprising: receiving a target items set for the user, wherein the target items set comprises two or more target items; querying a database of a plurality of related items sets using the target items set, wherein each related items set comprises a plurality of related items; in response to the querying, retrieving one or more similar items sets from the plurality of related item sets, wherein each similar items set is similar to the target items set; and performing a union of the similar items sets to generate the recommended items.
20110041746
12675518
0
1. A method of positioning embroidery elements with a processor-controlled sewing machine, the method comprising: placing fabric that is to be embroidered in a position in relation to a threaded needle on the sewing machine, providing a plurality of embroidery elements defined as stitch data objects in a memory, selecting at least one of said plurality of embroidery elements to define a group of embroidery elements to be embroidered on said fabric, defining an arbitrary curve along which said embroidery elements shall be embroidered on said fabric, distributing said embroidery elements in a spaced relationship along said defined arbitrary curve utilizing a positioning algorithm, preserving during said utilizing said positioning algorithm a coupling between said group of embroidery elements and said arbitrary curve.
8219817
11598495
1
1. A method for verifying matching content between a plurality of text documents implemented with a numerical computation device, comprising: at a first location, forming a first authentication signature from an electronic text character content of a first text document; obtaining a document representation that is a transformation of the first text document, where the document representation represents the electronic text characters converted to a format that is other than electronic text; electronically transmitting the document representation to a second location; electronically storing a second text document derived from the document representation; forming a second authentication signature from an electronic text character content of the stored second text document; and comparing the first and second authentication signatures.
8736421
13600878
1
1. A biometric information processing apparatus comprising: a calculation unit that calculates a direction of each of characteristic lines included in biometric information extracted from a user; a smoothing unit that smoothes each of the characteristic lines; a difference calculation unit that calculates a difference between the direction of each of the characteristic lines and a direction of each of the smoothed characteristic lines; a detection unit that detects, as a change candidate area, a potentially changeable area in the biometric information based on each of the calculated differences; and an estimation unit that estimates a future authentication accuracy using the biometric information based on the detected change candidate area.
8271432
12498764
1
1. A computerized method for suggesting a product for purchase comprising the steps of: collecting, on a computer, coreference information from a web server serving web pages including a plurality of word groups, each of the word groups comprising a plurality of words, and describing a product in a group of products, the coreference information indicating coreferences in single web sessions of pairs of products in the group of products, the coreference information further indicating a number of a plurality of words across the group of products, a number of occurrences of each word for both coreferenced products of each pair of products, and a number of occurrences of each word for only one coreferenced product of each pair of products; calculating, on a computer, a score for each word of the plurality of words occurring in the plurality of word groups using the coreference information; selecting, on a computer, a subset of the plurality of words based at least in part on the score; performing, on a computer, a dimensionality reduction on the subset; and serving a web page from the web server, the web page including a description of a first product and a recommendation for a second product, the recommendation being based on a result from the performing step.
20020087599
10082596
0
1. A method of categorizing a network page, comprising the steps of: a. providing a list of categories; and, b. providing the opportunity to assign a page to one or more of a plurality of said categories.
20090327132
12163688
0
1. A method for assessing risk associated with a multi-dimensional risk table comprising: approximating an initial risk value for a substantially empty cell in a risk table based upon risk values in cells related to the substantially empty cell; determining an adjustment value for the approximated initial risk value; and applying the adjustment value to the initial risk value to yield a final approximate risk value for the previously substantially empty cell, the final approximate risk value being used subsequently in a statistical model, the statistical model enabling a determination to be made whether transaction data is to be classified as fraudulent.
20150210099
14417584
0
1. A method for determining a printing position, said method comprising: providing a fiducial mark pattern on a printing medium, said fiducial mark pattern comprising a plurality of fiducial marks at predefined relative distances; capturing an image of said printing medium identifying said fiducial marks in a captured representation of said printing medium; identifying a first edge of said printing medium in said captured representation of said printing medium; determining a first distance between said first edge and a first fiducial mark of said fiducial mark pattern from said captured representation of said printing medium; determining a second distance between a second fiducial mark of said fiducial mark pattern and a third fiducial mark of said fiducial mark pattern from said captured representation of said printing medium; and computing a distance between said fiducial mark pattern and said first edge based on said determined first distance and said determined second distance.
20080270979
11739561
0
1. A method for using type analysis to generate an implementation of a type, the method comprising the steps of: (a) identifying a request to generate a first implementation of a type; (b) receiving a type model associated with the type; (c) identifying a second implementation of the type model as suitable for a high-performance implementation; (d) generating the second implementation on a target processor; and (e) representing the second implementation as the first implementation.
20110064284
12633519
0
1. A method comprising: adapting a state of a state-space model based on a plurality of cardiac images to characterize motion of a heart; computing an information-theoretic metric from the state of the state-space model; and comparing the information-theoretic metric to a threshold to determine whether the motion of the heart is abnormal.
8200517
11497272
1
1. A computer readable medium storing a program for estimating a user activity from an article to which an article identifier for identification of the article is attached, the program executing instructions to perform the steps comprising: extracting a noun and a verb in a sentence from document data that have been input; calculating a conditional probability of the verb to the noun in accordance with P (verb v|noun n)∝1/(a number of types of verbs)P(noun n|verb v); storing an article identifier and in association with article information corresponding to the noun; storing probability information in association with the noun and the verb that have been extracted, the conditional probability that has been calculated, and the number of the types of the verbs; detecting an article identifier; and estimating the user activity based on the probability information, in response to detection of the article identifier; wherein when a plurality of the verbs are associated with the noun, a plurality of the conditional probabilities of the plurality of the verbs are compared with each other, the estimating step estimates that there is a higher possibility that the user will perform the user activity corresponding to the verb having a higher conditional probability.
20030083567
10281693
0
1. A medical imaging station including acquisition means for obtaining images exhibiting levels of gray, display means for displaying the images, segmentation means for segmenting at least one imaged object, said segmentation means determining a so-called segmentation zone delimiting the imaged object on the image, and path extraction means for extracting at least one path within the segmentation, characterized in that the extraction means include: means of positioning an initial point on the segmentation, means of propagating an edge within the segmentation from the initial point, means of testing the connectedness of the edge, means of labeling the portions of the edge, called ramifications, when an unconnected edge is detected, means of identifying final points of the propagation on the ramifications, path tracing means for tracing a path from the final points and the initial point.
20020186882
10134157
0
1. A computer program product for generating special-purpose image analysis algorithms comprising: a computer usable medium having computer readable program code embodied therein, said computer readable program code configured to: obtain at least one image having a plurality of chromatic data points; generate an evolving algorithm that partitions said plurality of chromatic data points within said at least one image into at least one entity identified in accordance with a user's judgment; and store a first instance of said evolving algorithm as a product algorithm wherein said product algorithm enables the automatic classification of instances of said at least one entity within at least one second image in accordance with said judgment of said user.
4737108
07041327
1
1. A tactile code for use by visually impaired and blind persons comprising embossed alphabet symbols representing the letter of the conventional Roman alphabet and embossed numeral symbols representing the conventional Arabic numerals; all of said alphabet and said numeral symbols comprising at least a frame, and at least of some said alphabet symbols and said numerals symbols also comprising an interior portion surrounded by said frame; said alphabet symbols being divided into first, second, third, and fourth regions, said alphabet symbols in said first and third regions having a circular frame and said alphabet symbols in said second and fourth regions having a square frame, and each of said alphabet symbols embodying at least a physical association with its corresponding capital letter of the Roman alphabet; and said numeral symbols all having a diamond frame and each of said numeral symbols embodying at least a logical or physical association with its corresponding Arabic numeral.
20050040824
10960669
0
1. A method for determining a gradient-induced cross-term magnetic field in a magnetic resonance imaging (MRI) system comprising: a. positioning an object in a static magnetic field; b. applying a radio frequency (RF) saturation pulse that spatially saturates nuclei of a slice of the object, and c. after step (b), applying an echo planar imaging (EPI) sequence to form an image of a slice of the object.
7773799
11671736
1
1. A method for performing three dimensional, stereo measurement, comprising: obtaining a sensor image from a sensor providing an image of a scene; providing first and second reference images of the scene that are a stereo pair of images; registering the sensor image with the first reference image; selecting a point of interest from one of the sensor image and the first reference image; performing a stereo point measurement from the selected point of interest and the first reference image to determine a point in the second reference image that represents a stereo mate of the selected point in the first reference image; defining a three dimensional grid; and using parametric data from the selected points of interest in the first and second reference images, and each three dimensional point within said grid, to determine three dimensional coordinates of a calculated point within said second reference image that is a minimum distance from said stereo mate point in the second reference image; and denoting said calculated point as the optimum stereo coordinate measurement of said point in said second reference image.
20040193288
10753922
0
1. An image generating apparatus comprising: a first input unit to which a predetermined parameter value about an image to be displayed is inputted; a second input unit to which a plurality of original images with respective parameters defined therefor are inputted; and an image generating unit for performing a predetermined converting process upon the plurality of original images in order to generate intermediate images from the plurality of original images such that the parameter values of the plurality of original images match each other, for combining the plurality of intermediate images thus generated such that their corresponding areas are made to overlap, and for outputting a final combined image; wherein said image generating unit performs a processing such that a parameter value of the final image matches the parameter value inputted with respect to said image to be displayed.
9482528
13496829
1
1. A photogrammetric method for compressing and transmitting persistent aerial surveillance data of a location of interest, the method comprising: generating a textured depth model of the location of interest for persistent aerial surveillance based on initial aerial imagery of the location of interest captured from different angles circling around the location of interest; predicting aerial imagery of the location of interest based on the textured depth model of the location of interest; capturing aerial imagery of the location of interest using at least one camera, the at least one camera having a known model and known ephemeris parameters; registering at least one frame of the captured aerial imagery to the textured depth model of the location of interest; generating a difference image between a captured frame of the captured aerial imagery and a predicted frame of the predicted aerial imagery, wherein the difference image represents pixels of an independent object that are absent from the textured depth model corresponding to a changed region in time or in space; spatially compressing the difference image to generate a compressed aerial surveillance data stream; and transmitting the compressed aerial surveillance data stream.
9440591
12465126
1
1. A utility vehicle including: a chassis; at least one ground engaging mechanism configured to propel the chassis over the ground; an operator station supported by the chassis; a work tool configured to move relative to the chassis to move material; an obstruction of the utility vehicle positioned between the operator station and the work tool, the obstruction having a surface area obstructing a view of an operator in the operator station from a vantage point; at least one camera configured to capture an unobstructed image of the work tool, the at least one captured unobstructed image positioned beyond the obstruction of the utility vehicle, the obstruction being positioned between the operator station and the work tool; and a display functioning as a virtual window for displaying a modified image based on the captured unobstructed image, the modified image formed by creating a viewing projection from the vantage point of the operator and identifying at least a portion of the captured unobstructed image located within the viewing projection, the viewing projection having an outer boundary defined by a plurality of outwardly projected rays centered at the vantage point of the operator and extending linearly toward the obstruction and through an outer perimeter of the display, the projected rays being outwardly spaced apart from the surface area of the obstruction, and the modified image corresponding to an area that would be visible from the vantage point of the operator without the obstruction to make the obstruction and the display appear transparent to the operator.
20140104315
13826781
0
1. A method for creating and displaying a map projection of a device's real-time viewing area to depict virtual objects, the virtual objects providing a reflected view of real-time objects displayed within the device's viewing area, the method comprising: displaying a real-time image of the device's viewing area taken from a geographical location on a display; retrieving the map projection for revealing the reflected view as an elevated view of a ground surface about the device's current geographical location and in accordance with the device's viewing area; superimposing the map projection on the display and overlaid in an upper portion of the real-time image; and defining one or more markers configured to show a relationship between the map projection and the real-time image, each marker overlaid on the display and configured to connect between the virtual object in the map projection and the corresponding real-time object on the real-time image.
20140168252
14132707
0
1. An image processing method comprising: displaying an image on a display screen; acquiring weather information through at least one of a sensor and an external server; and providing an image effect corresponding to the weather information to the displayed image by processing the image based on the acquired weather information.
9589442
14016434
1
1. A method, implemented by one or more devices, comprising: receiving, by the one or more devices and from a plurality of personal emergency response (PER) devices, data relating to acceleration events that occurred at the PER devices; associating, by the one or more devices, the data relating to the acceleration events with indications of whether the data relating to the acceleration events corresponds to fall events of users of the PER devices; training, by the one or more devices, a classification model based on the data relating to the acceleration events and the indications of whether the data relating to the acceleration events corresponds to the fall events; customizing the classification model, based on user-specific data, for a particular user of the PER devices, the customization including removing nodes of the classification model that are determined, based on the user-specific data for the particular user, to not affect an output of the classification model for the particular user; transmitting, by one or more devices, the customized classification model to at least some of the PER devices to update a previous version of the classification model at the at least some of the PER devices; identifying high-risk users, out of a plurality of users associated with the PER devices, based on a number of previous fall events associated with one or more users, of the plurality of users; performing a clustering operation based on the identified high-risk users; and determining additional high-risk users based on a result of the clustering operation.
8908057
12797993
1
1. A composition determination device comprising: circuitry configured to: detect a face of a specific subject in a rectangular image based on image data; detect a rotation angle of the face in an image section in the rectangular image, corresponding to a detected subject which is the subject detected by the circuitry; determine if the face is facing either front, right or left as viewed in the rectangular image based on the rotation angle; and determine a composition in the rectangular image comprising horizontal sides and vertical sides on the basis of the rotation angle and on the basis of an image area division line, the image area division line being set in a vertical direction with respect to the rectangular image in response to a determination that the detected rotation angle of the face is within a predetermined angle range, wherein, (1) when the circuitry determines the face is facing either right or left as viewed in the rectangular image, the circuitry is configured to: set the image area division line with respect to the rectangular image, and calculate a movement amount on the basis of the rotation angle and on the basis of the image area division line being set in the vertical direction by dividing a size of the rectangular image in a horizontal direction by a predetermined integer, wherein, (2) when the circuitry determines the face is facing front as viewed in the rectangular image, the circuitry is configured to: detect a face rotation angle of the face; calculate the movement amount to be zero, when the face rotation angle is determined to be within a range of an upright state; and calculate the movement amount on the basis of the face rotation angle and on the basis of the image area division line being set in the vertical direction by dividing a size of the rectangular image in a horizontal direction by a predetermined integer, when the face rotation angle is determined to be not within the range of the upright state, and wherein the circuitry is configured to obtain as a determination result the composition in which a center of gravity, which is set in the image section which includes at least one detected subject, is located in a position which is shifted from the image area division line by the movement amount.
8135728
11619230
1
1. A system comprising: a user interface for displaying a web document to a user; a processor in communication with the user interface and coupled to computer readable storage media storing instructions adapted to be executed by the processor; a scanning component implemented by the processor to receive the web document for display on the user interface and scan content of the web document to select candidate phrases comprising at least one word in the web document; an analysis component implemented by the processor to: access at least one of a search engine query log file or a search engine cache containing a plurality of search queries received from a plurality of different users of a search engine; identify, from the plurality of search queries received from the plurality of different users, query frequency information comprising a list of words frequently submitted as the search queries to the search engine by the plurality of different users of the search engine over a defined period of time; extract at least one phrase comprising at least one word from the web document based, at least in part, on a comparison of the candidate phrases with the list of words frequently submitted as the search queries to the search engine by the plurality of different users; generate at least one query based upon the at least one phrase extracted; and provide the at least one query based upon the at least one phrase to an advertising system in communication with the processor; and a display component to display at least one advertisement on the user interface in conjunction with display of the content of the web document, the at least one advertisement being received by the processor from the advertising system in response to the at least one query provided to the advertising system.
20170091650
15373910
0
1. A method of operation of a quantum processor, the quantum processor comprising a plurality of qubits and one or more coupling devices, each coupling device operable to provide controllable communicative coupling between a respective pair of the plurality of qubits, the method comprising: embedding in the quantum processor a problem graph comprising one or more odd cycles, the problem graph comprising a plurality of vertices and one or more edges, wherein embedding in the quantum processor a problem graph comprising one or more odd cycles includes: mapping each vertex to a respective single qubit of the plurality of qubits; mapping each edge to a respective single coupling device of the one or more coupling devices, the respective single coupling device operable to provide direct controllable communicatively coupling between a pair of qubits of the plurality of qubits, each qubit of the pair of qubits mapped to a respective pair of vertices.
8595155
13053616
1
1. A kernel regression learning method for calculating an estimation value, by use of a multiple kernel function learning method with training data including a plurality of different types of observation data and evaluation values thereof, the kernel regression learning method comprising the steps of: calculating a similarity matrix for each of the different types of observation data; calculating a graph Laplacian for each of the different types of observation data by use of the corresponding similarity matrix thus calculated; providing an entire graph Laplacian as linear combination of the graph Laplacians with coupling constants; and calculating the coupling constants and a variance of an observation model of the observation data by use of a variational Bayesian method with the graph Laplacian, wherein the observation model is a normal distribution, latent variables for explaining the observation data form a normal distribution, and the coupling constants follow a gamma prior distribution; and wherein at least one of the steps is carried out by a computer device, wherein the observation data is time-series data and wherein each of the different types of observation data includes time-series data sequences obtained by filtering the time-series data through different filters, and wherein the different filters are configured to extract periodic components, to extract trend components and to extract residual components.
20170284941
15303461
0
1. A two-color fluorescence localized super-resolution biological microscopy method, comprising the following steps: performing two-color fluorescence labeling on a biological sample by using Alexa647 and Alexa750 fluorescent molecules or Cy5 and Cy7 fluorescent molecules, and soaking the biological sample in an imaging buffer solution; illuminating the biological sample by laser to generate a blinking fluorescent signal of a first channel corresponding to the Alexa647 or Cy5 fluorescent molecules as well as a blinking fluorescent signal of a second channel corresponding to the Alexa750 or Cy7 fluorescent molecules respectively; constructing a super-resolution image of a first biological structure and a super-resolution image of a second biological structure respectively according to the blinking fluorescent signal of the first channel and the blinking fluorescent signal of the second channel; and aligning the super-resolution image of the first biological structure and the super-resolution image of the second biological structure to construct a super-resolution image of a third biological structure.
9152757
13658755
1
1. A system for providing a noninvasively derived fractional flow reserve and a computerized model of a portion of an anatomy of a patient, the system comprising: at least one computer system configured to: create a three-dimensional model representing at least a portion of multiple coronary arteries emanating from the patient's aorta, using patient-specific imaging data derived from a noninvasive imaging source; create a blood flow model representing blood flow through at least a portion of multiple coronary arteries; create a multi-dimensional model using the three-dimensional model and the blood flow model; determine a fractional flow reserve value for at least one location of the coronary arteries, using the multi-dimensional model and without using any invasive fractional flow reserve measurement technique; and display the three-dimensional model and the determined fractional flow reserve value together on a display device.
20020012454
09754938
0
1. A method of processing two or more images to distinguish a head in the images from other portions of the images, comprising the following actions: predicting portions of the images that form facial portions of the images; calculating one or more skin colors by sampling the images at the predicted portions; computing a first mask image that marks any image pixels whose colors are different in the two or more images; creating a second mask image that marks any image pixels whose colors correspond to the calculated one or more skin colors; combining the first and second mask images to create a final mask image.
8164432
12471878
1
1. A pedestrian detection apparatus for detecting pedestrians about a vehicle comprising: an image generator for capturing images of an environment of the vehicle to generate and deliver image outputs; a sensor for sensing obstacles about the vehicle and delivering distance data between the obstacles and the vehicle; a critical area detector for generating polylines by clustering a plurality of the distance data and classifying obtained polylines according to their size and shape into multiple categories in order to detect multiple categories of obstacles; and a pedestrian detector for detecting the pedestrians preferentially from images corresponding to the critical areas.
20140126691
14065305
0
1. A Fourier ptychographic X-ray imaging system, comprising: an assembly for capturing a plurality of variably-illuminated, low-resolution intensity X-ray images of a specimen; and a processor for computationally reconstructing a high-resolution X-ray image of the specimen by iteratively updating overlapping regions in Fourier space with the variably-illuminated, low-resolution intensity X-ray images.
9275301
13644525
1
1. A method for creating a digital image album implementable on a computing device, the method comprising: grouping, by one or more processors, a first plurality of digital images to generate a plurality of groups, wherein each of the plurality of groups comprises a second plurality of digital images; distributing, by the one or more processors through an input/output interface, each of the plurality of groups to one or more crowdworkers for ranking each digital image of the plurality of groups; receiving, by the one or more processors through the input/output interface, a response from the one or more crowdworkers, wherein the response corresponds to a first rank assigned to each digital image in the second plurality of digital images in each of the plurality of groups; eliminating, by the one or more processors, one or more digital images from the second plurality of digital images in each of the plurality of groups based on the first rank and a pre-defined value, to create a plurality of modified groups; determining, by the one or more processors, a final rank corresponding to the each digital image in the plurality of modified groups based on the first rank assigned by the one or more crowdworkers to each digital image of the plurality of groups; and selecting, by the one or more processors, a third plurality of digital images from each of the plurality of modified groups based on the final rank of the each digital image of the plurality of modified groups, wherein the at third plurality of selected digital images is used to create the digital image album.
20070223794
11385060
0
1. A computer-implemented method for image registration, comprising: accepting a three-dimensional (3-D) image of an organ, the image comprising a first plurality of image points with respective image coordinates; accepting a map defining a distribution of values of a physiological parameter over the organ, the map comprising a second plurality of map points with respective map coordinates; associating respective confidence levels with one or more of the map coordinates and image coordinates; assigning weights to at least some of the map points and image points responsively to the confidence levels of the respective map coordinates and image coordinates; and fitting the 3-D image with the map by calculating a geometrical transformation between the map coordinates and the image coordinates based on the weights.
9644470
14299348
1
1. A camera apparatus at least partially incorporated within a downhole tool to be disposed to a subterranean location by a running arrangement, the camera apparatus comprising: a camera sensor for capturing one or more visual images of a subterranean location; a storage memory within the running arrangement and operably associated with camera sensor, the camera sensor providing one or more visual images to the storage memory; a separable communications cable which operably interconnects the storage memory with the camera sensor so that the storage memory can be removed from the subterranean location while leaving the camera sensor in the subterranean location.
20060170887
11341456
0
1. An image forming method for packing a plurality of image prints in a bag as finished prints corresponding to an order and outputting the bag containing the plurality of image prints, comprising: an image print producing step of recording each of the plurality of images on a recording medium based on image data which is reproduced corresponding to each of the plurality of images, thereby to produce the image prints on an image-by-image basis; a step of judging whether the bag needs to be sealed or not when the plurality of image prints thus produced are packed in the bag as the finished prints corresponding to the order; and an image print outputting step of packing the plurality of image prints in the bag as the finished prints corresponding to the order and sealing the bag containing the plurality of image prints based on a result of the judging, thereby to output the plurality of image prints contained in the sealed bag.
20060188176
11356381
0
1. A photography apparatus comprising: imaging means for obtaining an image by photography; storage means for storing the image; input means for receiving an instruction to delete the image; deletion means for deleting the image regarding which the instruction to delete has been received, from the storage means; and deletion information generation means for generating deletion information including time and date of photography of the deleted image.
8466827
12988941
1
1. An object detecting device comprising: an image capture unit configured to capture images within a predetermined range and acquires image data; a radar detecting unit configured to irradiate an object with electromagnetic waves in a plurality of different directions within the predetermined range and acquires, for each of the irradiation directions of the electromagnetic waves, detection point data including data of the distance to an object existing in the direction; and an object detecting unit configured to detect a predetermined target object to be detected, based on the image data captured by the image capture unit and the detection point data detected by the radar detecting unit, wherein the object detecting unit comprises: an image portion search device configured to search the image data captured by the image capture unit, referring to the detection point data detected by the radar detecting unit, and detect an image portion corresponding to the target object to be detected; a detection point extracting device configured to extract, from the detection point data detected by the radar detecting unit, detection point data corresponding to the target object to be detected after the image portion search device has detected an image corresponding to the target object to be detected; and an image portion correcting device configured to correct, in accordance with the detection point data extracted by the detection point extracting device, the position of the image portion detected by the image portion search device.
9521288
14716182
1
1. A sheet-fed scanner, comprising: a scan channel; a feeding unit disposed at an inlet of the scan channel for feeding a document; a transmitting unit disposed in the scan channel for transmitting the document to pass through the scan channel; a background sheet disposed on a side of the scan channel and having a first surface facing towards the scan channel and a second surface; a background light source facing towards the second surface to provide an intermittent light signal to the background sheet, which correspondingly displays an intermittent variation background image on the first surface; and a scan module disposed on another side of the scan channel, wherein when the document passes through the scan channel between the scan module and the background sheet, the scan module captures a document image of the document and the intermittent variation background image to generate scan data.
7893934
11441541
1
1. A method for developing a computational model of an ear comprised of a plurality of individual anatomical structures, at least one of the anatomical structures including an external ear canal and a middle ear cavity filled with air, the method comprising the steps of: constructing, by a computer system, a three-dimensional geometric model of the ear including a plurality of anatomical structures of the ear, each anatomical structure having a physical property of at least one of air and solid material; meshing the individual anatomical structures in the three-dimensional geometric model of the ear accounting for the physical properties of the meshed anatomical structures; assigning material properties for the anatomical structures within the three-dimensional model based on the physical property of each anatomical structure; assigning boundary conditions to the three-dimensional model for at least some of the anatomical structures indicative of the interaction between such anatomical structures, the boundary conditions including at least one of an air-to-solid interface; and employing acoustic-structural coupled analysis calculating at least an acoustic pressure distribution along the external ear canal using the boundary conditions including the at least one air-to-solid interface on the three-dimensional model to generate data indicative of the acoustic effect on mechanical vibration transmission in the ear caused by introducing an acoustic wave into the air within the external ear canal.
20140132817
14077577
0
1. A method of displaying an image, the method comprising: recognizing a movement of an object that approaches an image capture button; capturing a plurality of frames in response to the recognized movement of the object; and displaying a predetermined frame from among the plurality of captured frames on a display unit.
20020087538
09906354
0
1. An image retrieval system comprising: a database with clusters, each cluster comprising a respective set of candidate images and a cluster center which is representative for that set; entry means for entering a query image; cluster comparison means for comparing the query image with respective cluster centers to establish respective cluster similarities between the query image and the respective clusters; selection means for selecting at least the cluster with the largest cluster similarity with the query image; image comparison means for comparing the query image with the candidate images in the selected clusters to establish respective image similarities between the query image and the respective candidate images; and presentation means for presenting at least the candidate image with the largest image similarity.
20090003686
12145194
0
1. A computer-readable medium encoded with a computer program comprising instructions that, when executed, operate to cause a computer to perform operations comprising: marking explicit and implicit ending parts on a stripe projected onto an object; performing a disparity propagation routine in a horizontal direction, a vertical direction, and the horizontal direction, respectively, further comprising halting the disparity propagation routine in the horizontal or vertical direction based on encountering the explicit or implicit ending parts; constructing a continuous three dimensional surface based on the performed disparity propagation; and performing a mismatch detection using the constructed three dimensional surface if a distance between matched pixels is greater than a predefined threshold.
20090265317
12106857
0
1. A computer-implemented method for classifying search query traffic, said method comprising: receiving a plurality of labeled sample search query traffic; generating a feature set partitioned into human physical limit features and query stream behavioral features; generating a model using said plurality of labeled sample search query traffic and said feature set; receiving search query traffic; and utilizing said model to classify said received search query traffic as generated by a human or automatically generated.
8483672
13358485
1
1. A method, comprising: maintaining a list of target users of a communication network and respective speech phrases that are characteristic of the target users; selecting a plurality of candidate communication terminals from among multiple communication terminals in the communication network based on a selection criterion; analyzing speech that is communicated via the candidate communication terminals, so as to identify one or more of the speech phrases in the speech; and correlating one of the candidate communication terminals with a target user who is associated in the list with the identified speech phrases.
6122069
09026616
1
1. A method of generating a plurality of live image data sets, each live image data set representing an image having one or more predetermined image effects, said method comprising the steps of: providing a raw image representation comprising one or more raster based images; constructing one or more repaired image representations each being associated with the raw image representation and providing a first set of image effects; creating one or more live image representations each being associated with at least one repaired image representation and each live image representation providing a second set of image effects; and rendering said live image representations, wherein each live image representation associated with a repair image representation inherits the set of first image effects.
8600157
12943530
1
1. A method for object color correction, comprising: obtaining a first image of a first image capturing device and a second image of a second image capturing device; constructing an image conversion model and an image color distribution space model according to an image conversion algorithm; introducing the first image and the second image into the image conversion model, and calculating a target image color coefficient and a target image luminance coefficient for converting the first image and the second image from an original color space to a target color space by using the image conversion algorithm; converting the first image and the second image from the original color space to the target color space according to the target image color coefficient and the target image luminance coefficient; respectively introducing the first image and the second image in the target color space into the image color distribution space model, so as to obtain a first image color distribution space principal axis and a second image color distribution space principal axis respectively; comparing the first image color distribution space principal axis and the second image color distribution space principal axis, and correcting them by a processing unit so that the first image color distribution space principal axis and the second image color distribution space principal axis are parallel to each other, so as to adjust a color difference between the first image and the second image; reintroducing the first image and the second image in the target color space into the image conversion model, so as to convert the first image and the second image from the target color space to the original color space; and obtaining the corrected first image and the corrected second image.
20060224383
11377207
0
1. A speech processing apparatus, comprising: an entity extracting unit to extract entity information by extracting input speech entity information from input speech and extracting a respective upper entity from a respective same domain as the input speech entity information; a focus determination unit to determine a focus of the input speech using the extracted input speech entity information requiring a response; a mapping unit to map lower domain entities, of the domain, corresponding to the focus with the extracted input speech entity information; and a recognition unit to recognize a result of arranging the extracted input speech entity information according to semantic association among domain entities, of the domain, as the input speech, wherein the upper entity is a hierarchically higher entity, within the domain, than the lower domain entities, the semantic association among domain entities is preset, and entity portions within the extracted input speech entity information are semantically associated with one another.
20120072108
13228100
0
1. A method for determining a length of a route travelled by a vehicle using a position measuring device that records positions of the vehicle, and a digital road map including road segments of known segment lengths, the method comprising: recording positions of the vehicle on the route by the position measuring device; matching the recorded vehicle positions to a sequence of road segments; calculating, from an angle between at least two consecutive road segments and an assumed road width of the two road segments, a turn-off route of the vehicle from said one road segment into said other road segment; and determining the route length from segment lengths of the sequence of road segments and the calculated turn-off route of the vehicle.
7570816
11095393
1
1. A system, embodied on a computer-readable storage medium, that when executed, facilitates detecting text in data, comprising: an input component that receives data; a connected components identifier that generates a set of connected components from the data, the connected components are utilized to generate a set of features for training and testing; and a classification component that automatically detects text in the data via a transductive classifier employed in connection with a trained boosted classifier, the trained boosted classifier infers labels for the training connected components, the inferred labels are subjected to a clustering process by which the set of training features feature sets are expanded to define training properties, the transductive classifier is trained based in part upon the training properties.