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9066654
13878516
1
1. A medical image processing apparatus comprising: a medical imaging apparatus configured to image a subject by a single imaging modality to obtain morphological image data related to morphology of the subject and functional image data related to function of the subject; a specifying part configured to specify a probable disease based on either or both of the morphological image data and the functional image data; a first computing part configured to calculate morphological information indicating morphological characteristics of the specified probable disease based on the morphological image data; a second computing part configured to calculate functional information of the specified probable disease based on the functional image data; and a third computing part configured to calculate an amount of progress characteristics of indicating a progressing extent of the probable disease based on the morphological information and the functional information.
7546529
10902527
1
1. A computer-implemented method for correcting text, comprising the steps of: receiving a text selection comprising a plurality of text components derived from different input sources, wherein at least one of the text components comprises a stochastic text component derived from a stochastic input source; receiving a command to display alternatives for the text selection; parsing the text selection into the text components; retrieving the stochastic model for the stochastic text component from the at least one stochastic input source; combining the stochastic model with other text components to produce a list of alternatives for the text selection, wherein the other text components include non-stochastic text components received from a non-stochastic input source; and displaying the list of alternatives for the text selection on a display device, wherein the text selection comprises a plurality of stochastic text components and one of the stochastic models comprises an “n-best” candidate list and another stochastic model comprises a lattice, and wherein the step of combining the stochastic models to produce a list of alternatives for the text selection further comprises the steps of: creating an “n-best” candidate list corresponding to the lattice; and producing the list of alternatives for the text selection by combining the “n-best” candidate lists for the text components.
20170017641
14797959
0
1. A non-transitory computer readable medium storing program code, the program code comprising instructions that when executed by a processor cause the processor to: obtain a primary policy comprising one or more features, a clause example, and a first threshold for use in a semantic language evaluator to generate a plurality of feature replaced clauses by replacing one or more of a plurality of original clauses in a document with the one or more features and to compare each of the plurality of feature replaced clauses according to the primary policy to provide a first feature data set comprising standard clauses; replace an available variation of one of the standard clauses in the document with a variable; compare a clause and at least one of the clause example and the variable, the clause obtained from the document with the available variation replaced with the variable; and obtain, in response to the comparison, a standard exact clause comprising the clause matching at least one of the clause example and the variable.
20150359681
14305481
0
1. A method for enhancing vision, comprising: capturing a first image by a first camera; capturing a second image by a second camera; combining the first image and the second image to form a combined image; and projecting the combined image on at least one eye of a user by a wearable image projection device, wherein the combined image represents a wide screen image having a field of view greater than any of the first image and the second image taken individually.
20110069885
12564520
0
1. A method for processing image data, comprising: providing input image data; segmenting the input image data to generate: a background layer representing the background attributes of an image; and one or more binary foreground layers, wherein each binary foreground layer comprises one or more pixel clusters representing text pixels of a particular color in the input image data; further segmenting an image data on the background layer to generate: a sub-background layer representing the background attributes of the image data on the background layer; a selector layer for identifying one or more foreground attributes of the image data on the background layer that are not included in the sub-background layer; and a sub-foreground layer representing the foreground attributes of the image data on the background layer; and integrating the sub-background layer, the selector layer, the sub-foreground layer, and the one or more binary foreground layers into a data structure having machine-readable information for storage in a memory device.
8874434
13150898
1
1. A method executed by a processor in communication with a memory storing a computer process tagger program that when executed by the processor generates a linguistic parse tree for a sentence, the method comprising the steps of: predicting by the computer process tagger a first level of chunk tags for the sentence; and predicting by the computer process at least a second level of chunk tags for the sentence using the first level or a previous level of chunk tags; from the predicted chunk tags, determining a sum of scores S in a graph G for a tag path [t] 1 N for words [w] 1 N as S ( [ w ] 1 N , [ t ] 1 N , ⁢ θ ⁢ ) = ∑ n = 1 N ⁢ ⁢ ( A t n - 1 t n + s ⁡ ( x n ) t n ) , where N is the number of words, θ represents trained parameters of a neural network of the tagger with a fixed-sized word dictionary W, trained parameter matrices M 1 and M 2 , and transition score A, each node G tn is assigned a score s(x n ) t n from the neural network of the tagger, and given a pair of nodes G tn and G um , an edge is added with a transition score A tu on the graph; and outputting a graph with network scores provided for each G tn of the graph and additional transition scores for the edges of the graph.
20150285607
14678627
0
1. A method of determining geometry of a deformed pipe or conduit or wellbore, the method comprising: receiving measurement data indicative of a plurality of radii of the pipe or conduit collected using a measuring device centred in the pipe at two or more points a known distance from the measurement point but not at the measurement point itself; selecting a deformation type and/or deformation model; processing the measurement data to determine one or more geometrical properties of the pipe or conduit, the geometrical properties being indicative of, or associated with, one or more deformations, shapes or profiles of at least part of the pipe, conduit or wellbore; and guiding and/or constraining at least a part of the processing of the measurement data using the selected deformation type or model and/or fitting the selected deformation model to the measurement data.
20160071237
14694035
0
1. A method comprising: receiving a markup language file, and a style sheet file containing breakpoints and a set of image display rules for generating image renditions of a first image; displaying a first image rendition for the first image based on the breakpoints, the first image rendition having: the first image; and crop borders corresponding to the breakpoints; receiving an input indicating a modification to the image rendition; displaying a second image rendition that includes the modification to the first image rendition; and amending the markup language file with at least one image display rule based upon the second image rendition, the at least one image display rule conforming to the set of image display rules.
20120281818
13546417
0
1. An anomaly detection system, comprising: a telecommunication line having a plurality of wires including at least a first wire joined to a second wire, the telecommunication line having a time varying anomaly at a junction of the first wire and the second wire, the time varying anomaly causing a transmission characteristic of the telecommunication line to fluctuate at the junction; a transmitter coupled to the telecommunication line; and anomaly detection logic configured to detect the anomaly based on signals communicated across the telecommunication line, the anomaly detection logic further configured to indicate a location of the detected anomaly along the telecommunication line.
7756799
11588694
1
1. A method, comprising: constructing, by a computer, a partial order among a set of classifiers, wherein the partial order indicates which classifiers can be input as features for other classifiers; based on the partial order, selecting, by the computer, as a feature for a second one of the classifiers, a function based on an output of a first one of the classifiers; and training the second classifier using the function based on the output of the first classifier.
9672247
15046209
1
1. A computer-system-implemented method for translating a first query into an edge query, the method comprising: receiving the first query, at a computer, wherein the first query is associated with a first type of database; translating the first query, at the computer using primitives, into the edge query, wherein: the edge query is associated with a graph database storing a graph; and the graph comprises nodes, edges between the nodes, and predicates to represent data with index-free adjacency; executing the edge query against the graph database, wherein the edge query identifies an edge associated with a predicate that specifies one or more of the nodes of the graph; and receiving a result in response to the edge query.
9849306
15076439
1
1. A system comprising: a beam generator configured to generate at least one beam to treat a patient; at least one computing device coupled to the beam generator, wherein said at least one computing device is configured to: obtain at least one three-dimensional image of a target structure and surrounding tissue of the patient, wherein the target structure is configured to move and be repositioned with respect to the surrounding tissue; create a treatment plan that includes at least one first three-dimensional probability distribution of a position of the patient and at least one second three-dimensional probability distribution of an internal position of the repositioned target structure; combine the at least one first three-dimensional probability distribution with the at least one second three-dimensional probability distribution to generate a joint distribution of the position of the patient and the internal position of the repositioned target structure; select a probability level from the joint distribution such that the probability level defines an enclosed surface, wherein a distance defined between a portion of the enclosed surface and a point of origin in at least one direction is at least equal to a predefined threshold value of a parameter of the repositioned target structure in the at least one direction; and project the enclosed surface to a plane that is positioned relative to a direction of the at least one beam to facilitate the generation of at least one beam-specific planning target volume design output.
20060212795
11415239
0
1. A computing system for managing annotations, the computing system comprising: a tier III server to store data for the annotations; a tier II server to maintain an index of the data for the annotations stored on the tier III server; and a tier I server to determine if a content source has data indexed by the tier II server.
20060235835
11106282
0
1. A method for processing a data access request, comprising: receiving a user request to perform a model entity operation that includes an indication of at least one instance of a model entity and a desired query operation, wherein the model entity is defined by a database abstraction model logically describing an underlying database and wherein the model entity defines the focus for a query operation, and wherein instances of the model entity are distinguished by an identifier in an underlying database; retrieving, in response to the request, a linking function configured to identify instances of the model entity that are related to the at least one instance of the model entity, according to a predefined relationship; and performing the model entity operation by: invoking the linking function to retrieve any related instances of the at least one instance of the model entity; executing the desired query operation against any retrieved instances of the model entity, and; returning instances of the model entity identified using the linking function that satisfy any conditions specified by the query operation.
20140314336
14366005
0
1. An image processing device comprising: a distorted image acquiring unit that acquires a distorted image through a photographing operation using a wide-angle lens or an omnidirectional mirror; a cutting reference point setting unit that sets a cutting reference point for cutting a partial cut region from the distorted image; a cut region setting unit that sets the cut region according to the cutting reference point; an eye vector setting unit that sets an eye vector corresponding to the cutting reference point, with a photographing viewpoint of the distorted image as a base point; an offset unit that shifts the cut region by a predetermined distance from the cutting reference point; and an image transforming unit that transforms the shifted cut region through image transformation to transform the distorted image into a planar regular image according to the eye vector.
20030040909
09835535
0
1. A method for determining a compact model to transcribe a language acoustically based on well-defined basic phonetics, said method comprising: extracting phonetic information regarding said language; defining, based on said extracted information, phonological and phonetic units associated with said language; identifying variations in said language; developing a maximal set based on said defined phonological units, phonetic units, and identified variations in said language, and reducing said maximal set to a minimal set of phonemes and allophones, thereby providing for a compact model for acoustically transcribing said language.
9129426
12873039
1
1. A method for acquiring and processing an image, comprising: acquiring image data via a detector assembly of an imaging system; utilizing a processor of an imaging processing system of the imaging system to access and execute one or more processor-executable routines encoded on a memory to perform the steps of: gating a set of image data acquired by the detector assembly to generate two or more sets of gated image data; generating a gated image for each set of gated image data; registering the gated images to generate one or more registered images; performing an analysis based on one or more motion-related criteria to generate a respective weighting factor at least for each registered image, wherein performing the analysis to generate the respective weighting factor comprises assigning a weighting factor for a voxel based on a difference between a reference image or an estimated final image and a respective registered image at the voxel and an expected noise level at the voxel; combining at least the registered images based on the respective weighting factors to generate a final image; and displaying the final image on a display.
9293136
14726943
1
1. A computer-implemented method comprising: receiving (i) a first transcription of a particular utterance from a first computing device and (ii) a second transcription of the particular utterance from a second computing device; determining a grammatical alignment between the first transcription and the second transcription based on a comparison between the first transcription and the second transcription; associating each word or phrase within the first transcription and the second transcription with a measure respectively calculated for each word or phrase within the first transcription and the second transcription, the measure corresponding to a likelihood of relevance for each word or phrase within the first transcription and the second transcription; comparing the measure associated with each word or phrase within the first transcription and the second transcription; generating a combined transcription from the first transcription and the second transcription that represents the particular utterance based on the comparison of the measure associated with each word or phrase within the first transcription and the second transcription; and providing the combined transcription as a speech recognizer output of the particular utterance.
20140125651
13668067
0
1. A method for real-time 3D map generation during a survey, said method comprising: accessing a 3D model of an area to be surveyed; defining attributes of an object within the area to be surveyed; utilizing a wire frame to represent the object in the 3D model; linking a tag comprising the attributes of the object with the wire frame representation of the object; draping imagery of the object over the wire frame of the object; and updating the 3D model of the area to be surveyed.
8559001
12984679
1
1. A method for inspection guided overlay metrology, comprising: performing a pattern search in order to identify one or more instances of a predetermined pattern on a semiconductor wafer; generating a care area for each of the one or more instances of the predetermined pattern on the semiconductor wafer; identifying one or more defects within each of the one or more generated care areas by performing an inspection scan of each of the one or more generated care areas, wherein the inspection scan includes a low-threshold inspection scan or a high sensitivity inspection scan; identifying one or more overlay sites of at least some of the one or more instances of the predetermined pattern on the semiconductor wafer having a measured overlay error larger than a selected overlay specification utilizing a defect inspection technique; comparing location data of the one or more identified defects of a generated care area to location data of the one or more identified overlay sites within the generated care area in order to identify one or more locations wherein the one or more defects are proximate to the one or more identified overlay sites; and generating a metrology sampling plan based on the identified one or more locations wherein the one or more defects are proximate to the one or more identified overlay sites.
7634515
11128893
1
1. A system that facilitates evolution of a data model comprising: a processor; system memory; a data model with a Schema that declaratively describes a logical model associates therewith, a Schema API that embodies methods and behaviors over the logical model, and a physical model of a Mapping, an Implementation and a Layout; a transformation component that derives a transformation for th e data model, wherein the transformation component is configured to generalize transformations such that only those parts that are unique to a given transformation are to be provided as inputs for that transformation, the transformation component being configured to leverage a common set of codes for data model evolution by abstractly defining the set of transformations across any arbitrary data model, the data models including at least one of a relational model, and object orientated model and an XML data model, such that when the transformation is applied to a version V n of a data model, the version is evolved into data model version V n+1 , wherein data model version V n+1 subsumes data model version V n ; the transformation component further evolves at least one instantiation of the data model including instantiation mapping evolution, instantiation data evolution, or combinations thereof, such that an instantiation V n+1 will subsume an instantiation V n , wherein the transformation component is further configured to combine operations that are defined declaratively, operations that are defined implicitly, and operations that are defined functionally to evolve that data model according to the variously defined operations; wherein application access to any instantiation of the data model associated with an evolution can include further transient transformation of an instant version of an instantiation to an appropriate version to facilitate application access across the data model and instantiation evolution.
7712961
11594706
1
1. A method for improving volume reconstruction in navigationally guided operations on a subject of investigation, making use of an X-ray diagnostic machine with an X-ray receiver, an X-ray source, an image processing computer, a position detection system, and a phantom, which contains X-ray positive marks and marks detectable by the position detection system in a fixed spatial relation, comprising: arranging the phantom on the subject in a region being explored in a manner such that the phantom remains rigidly connected to said subject during the entire operation and remains fixed in space during each scan; using the X-ray diagnostic machine to create a series of 2D projection images of the region being explored with different projection geometries, each projection containing at least some of the X-ray positive marks of the phantom; determining the positions of the X-ray positive marks on the phantom from the 2D projection images obtained from each scan in the image processing computer; and comparing the positions of the X-ray positive marks on the phantom with the calculated nominal positions of the X-ray positive marks for each scan determined by the position detection system, thus calibrating and transforming each 2D projection image to a transformed 2D data set in a manner such that the sum of deviations between the positions of the X-ray positive marks determined from the 2D projection image and the positions of the X-ray positive marks in the transformed 2D data set is minimized and any deviation of the 2D projection of the phantom from the value calculated from kinematics is divided equally between the X-ray receiver and the X-ray source; and reconstructing a volume with the transformed 2D data sets.
20140324428
13874304
0
1. A system, comprising: a processor; a microphone configured to record user speech; and a speech recognition module configured to analyze the recorded user speech and detect words spoken by a user from the recorded user speech, the speech recognition module using contextual information about the recorded user speech in the analysis.
7623711
11173766
1
1. A method comprising: identifying, by a processor, spatial relationships between document objects of a document image; determining, by a processor, space separating pairs of neighboring document objects, wherein the space separating pairs of neighboring document objects is represented as weights in a weighted graph model; and determining, by a processor, a scaling factor based on the space separating the document objects in the document image and based on display device characteristics.
8139859
12569961
1
1. A method for detecting, in single time-point, in-vivo imaging data related to artifacts in the imaging of objects, the method comprising: acquiring at least one in-vivo image with an imaging apparatus; forming a background image corresponding to an imaged air of the in-vivo image; obtaining the background image in a first step including establishing an object-air boundary and a second step formed of an atlas-based refinement of a background volume of interest; forming a histogram reflecting an intensity distribution of the background image; forming the background image of a set of voxels where artifacts are detected; providing an initial estimate of a range of artifact intensities from intensities above a definable intensity value; and executing a modified morphological opening operation, formed of an erosion of a set of voxels and a dilation, performed iteratively and constrained to voxels intensity above the intensity value, causing the opening operation to provide a natural definition of artifacts regions.
8786726
13927508
1
1. A camera system comprising: an image processing apparatus including an image sensor; and an optical system that forms a subject image in the image sensor, wherein the image processing apparatus includes an image sensor that is exposed to light, images, and outputs at least two images of a long accumulation image with a longer exposure time and a short accumulation image with a shorter exposure time in one field, a first long accumulation evaluation value computation unit that computes an exposure evaluation value from the long accumulation image and outputs the value as a first long accumulation evaluation value, a second long accumulation evaluation value computation unit that computes an exposure evaluation value from the long accumulation image according to a different method from that of the first long accumulation evaluation value computation unit, and outputs the value as a second long accumulation evaluation value, a short accumulation evaluation value computation unit that computes an exposure evaluation value from the short accumulation image and outputs the value as a short accumulation evaluation value, a short accumulation exposure control unit that acquires a short accumulation target exposure time and short accumulation exposure control information from the short accumulation evaluation value and a first target level, a long accumulation evaluation value synthesis unit that acquires a long accumulation evaluation value by synthesizing the first long accumulation evaluation value and the second long accumulation evaluation value in response to the short accumulation target exposure time using a predetermined method, a long accumulation exposure control unit that acquires long accumulation exposure control information from the long accumulation evaluation value and a second target level, and an image sensor drive unit that drives the image sensor from the long accumulation exposure control information and the short accumulation exposure control information; a synthesis unit that generates an image from the long accumulation image and the short accumulation image in response to the long accumulation exposure control information and the short accumulation exposure control information.
7797629
11398222
1
1. A method of enabling a spell-check operation on a text entry on a handheld electronic device having stored for execution thereon a number of sequentially ordered spell-check algorithms, the method comprising: on the handheld electronic device, subjecting the text entry to a spell-check algorithm to obtain a resultant expression, and seeking for inclusion in a list any language object that is consistent with the resultant expression; repeating on the text entry said subjecting and said seeking as to a next sequentially ordered spell-check algorithm when the quantity of language objects in the list has not reached a predetermined quantity; ceasing said subjecting and said seeking as to further spell-check algorithms when the quantity of language objects in the list reaches the predetermined quantity; subjecting the text entry to at least a first spell-check algorithm related to character configuration; employing as the at least first spell-check algorithm related to character configuration at least a first spell-check algorithm related to ignoring at least one of capitalization and accenting; and subsequent to said subjecting the text entry to at least a first spell-check algorithm related to character configuration, and when the quantity of language objects in the list has not reached the predetermined quantity, subjecting the text entry to at least a first spell-check algorithm related to misspelling.
5434927
08163820
1
1. A machine vision system comprising: image acquisition means for acquiring images from three-dimensional space; means for determining the magnitude of vertical and horizontal edge element intensity components of each pixel of said image; means for converting said vertical and horizontal edge element intensity components to a first vector with a magnitude of total edge element intensity and a direction for each said pixel within said image; means for defining regions of interest within said image; means for fuzzifying said first vectors in said regions of interest to create a second vector characterizing each said region of interest; a neural network for interpreting said second vector of each said region of interest to determine a classification of said object; means for generating a signal indicative of said classification of said object; and interface means for providing an interface with external devices.
9251369
14525161
1
1. A method comprising: receiving a designation of a relative privacy level for a first user; receiving a selection of a group of second users for the first user, wherein the second users within the selected group have individual privacy level values, wherein the relative privacy level for the first user corresponds to a user-specified level, relative to the individual privacy level values of the selected group, at which to set privacy level values for the first user, and wherein each privacy level value for the first user corresponds to a respective one of the individual privacy level values of the selected group; and setting, using one or more processors and for each privacy level value for the first user, the privacy level value for the first user based on the designation of the relative privacy level and the respective individual privacy level value of the selected group of second users.
8487881
11873576
1
1. An interactive input system comprising: an appliance; imaging structure separately imaging an area in close proximity to a touch surface and a region remote from said touch surface; memory storing a databank of gestures; and processing structure communicating with said appliance, said memory and said imaging structure, said processing structure being operable in one of a touch input mode and a gesture input mode, in said touch input mode, said processing structure controlling operation of said appliance in response to user touch input entered via user interaction with a touch surface and in said gesture input mode, said processing structure controlling operation of said appliance in response to remote user gesture input occurring anywhere in said region remote from said touch surface that is within the field of view of said imaging structure, wherein said controller remains in said gesture input mode until a pointer appears in images of said area at which time said controller is automatically conditioned to said touch input mode and wherein in said gesture input mode and during detection of remote user gesture input, said processing structure compares received image data with said databank of gestures to recognize input gestures.
8886500
13322104
1
1. A method for assessing an efficacy of a treatment for a respiratory condition in a subject comprising the steps of: a) obtaining data concerning a pre-treatment three-dimensional image of a respiratory system of the subject, and a post-treatment three-dimensional image of the respiratory system of the subject, b) calculating a specific three-dimensional structural model of a lung structure of the subject from each of the pre- and post-treatment image data obtained in step a), c) calculating a specific three-dimensional structural model of an airway structure of the subject from each of the pre- and post-treatment image data obtained in step a), d) calculating a patient-specific three-dimensional structural model of a lobar structure of the subject from each of the pre- and post-treatment lung structure models obtained in step b), e) modeling by a computer, air flow through the airway structure at pre- and post-treatment states, using the respective pre- and post-treatment models of the airway structure and lobar structure of the subject obtained in steps c) and d); f) modeling by a computer, structural behavior of the airway structure and the interaction with the air flow at pre- and post-treatment states, using the respective pre- and post-treatment models of the airway structure and lobar structure of the subject obtained in steps c) and d); g) comparing the modeled air flow pre- and post-treatment and comparing the structural behaviour pre- and post-treatment to determine the efficacy of the treatment, wherein an efficacious treatment is one that decreases airway resistance, thereby increasing lobar mass for a same driving pressure, thereby determining the efficacy of the treatment for the respiratory condition.
4390895
06301440
1
1. A color image pick-up apparatus comprising: a substantially planar array of solid state light-sensitive elements; a filter mosaic made up of individual filter elements which are superposed in one-to-one registry on said light-sensitive elements, said mosaic being comprised of a first type of element sensitive to a spectral region corresponding to luminance and associated with the color green, a second type of element sensitive to one spectral region corresponding to chrominance and associated with the color red, and third type of element sensitive to a different spectral region corresponding to chrominance and associated with the color blue, the three types of elements occurring in repeating patterns which are such that over at least a major portion of said array luminance-type elements occur at every other element position along both of two orthogonal directions of said array; separating means for separating said signals associated with red, green, and blue from the output signal of said solid state image pick-up device; extracting means for extracting a high frequency component from said signal corresponding to luminance and associated with green; means for adding said high frequency component signal corresponding to luminance and associated with green to the signal corresponding to luminance produced from the adjacent horizontal element of said solid state light-sensitive element; and color encoder means, connected to said separating means and adding means, for producing color video signals from the signals corresponding to said luminance and chrominance.
7831442
10336104
1
1. A method for consolidating edits, said method comprising: on one or more computers having at least a processor and memory, accessing an edit list, the edit list comprising a plurality of edits applicable to insurance claims, each of the plurality of edits comprising a directive of an insurance provider to correct or reject an insurance claim under specified circumstances, each edit of the plurality of edits having associated therewith an insurance-provider identifier representing the insurance provider; on the one or more computers, comparing words of at least two edits of the edit list having a same insurance-provider identifier to determine similarity between the directive contained in each of the at least two edits for a specific insurance provider; wherein the comparison comprises computing a discrete value indicative of a degree of similarity between the at least two edits of the edit list, the discrete value being based on a number of matched words in the at least two edits; on the one or more computers, reducing a number of the plurality of edits applicable to insurance claims for the specific insurance provider, the reducing comprising consolidating the at least two edits having the same insurance-provider identifier into a new edit based on a comparison of the discrete value to at least a predetermined threshold; and on the one or more computers, applying the reduced number of the plurality of edits to one or more insurance claims for the specific insurance provider, the application comprising assessing validity of the one or more insurance claims.
6035710
09321573
1
1. A method of characterizing atmospheric clouds in three dimensions from retrieval on satellite meteorological data, comprising the steps of: receiving satellite electro-optical, infrared, and microwave radiance data of a view, the view having a location and time information; determining cloud top heights of clouds in the view based on the electro-optical and infrared radiance data and determining moisture profiles of the view based on the microwave radiance data; and retrieving cloud base heights of clouds in the view based on the moisture profiles and the cloud top heights.
8543606
13709695
1
1. A system for automatically creating a security access policy to an electronic document in a document management system, the system comprising: a processor; and a non-transitory computer readable storage medium, having computer readable instructions stored thereon for execution by the processor, causing the processor to: associate metadata with the document, the metadata comprising one or more attributes of the document; the metadata comprising: a contextual metadata, which is inferred from contents of the document; an applied metadata, which is attached to the document by an external program; and a dynamic metadata, which is dynamically retrieved based on external content analysis of the document performed outside of the document management system; configure security access policies to be applied to documents in the document management system, comprising specifying one or more metadata rules operating on the metadata and governing application of security access policies to the documents; and determine the security access policy to be applied to the document to be added to the document management system based on the one or more metadata rules and the metadata associated with the document.
9583015
14267213
1
1. A method for generating media files and context parameters and linking the media files and context parameters to subject profiles during evaluation of a subject, the method comprising: receiving, at media capture device on a network, a first input from an evaluator to capture a first media file; capturing, at the media capture device, the first media file responsive to the evaluator's first input; storing the first media file; receiving, at the media capture device, a second input from the evaluator to capture a second media file; capturing, at the media capture device, the second media file responsive to the evaluator's second input; storing the second media file; receiving, at the media capture device, a third input from the evaluator indicating a first context parameter; tagging the first media file with the first context parameter; storing the first context parameter; receiving, at the media capture device, a fourth input from the evaluator indicating a second context parameter; tagging the second media file with the second context parameter; storing the second context parameter; receiving, at the media capture device, a fifth input from the evaluator indicating a first subject parameter for an education profile of the first subject; linking the first media file and the first context parameter to the education profile of the first subject based on the first subject parameter; receiving, at the media capture device, a sixth input from the evaluator indicating a second subject parameter for an education profile of the second subject; linking the second media file and the second context parameter to the education profile of the second subject based on the second subject parameter; determining that an available bandwidth on the network is below a threshold bandwidth for transmitting the first media file and second media file to an evaluation system; monitoring the network to determine when the available bandwidth on the network rises above the threshold; determining that the available bandwidth is above the threshold; and transmitting, from the media capture device, the first media file and the second media file to the evaluation system on an external server, wherein the evaluation system is configured to display education profiles and media files the evaluator.
8537266
12952469
1
1. A digital image processing apparatus, comprising: a digital signal processor (DSP) configured to: perform a secondary differentiation operation on a digital image to generate secondary differentiation values; select secondary differentiation values that are greater in absolute value than a first predetermined constant, so as to generate selected values; determine a focus region of the image based on the spatial distribution of selected values, wherein a focus region is a region in which the selected values have magnitude greater than a second predetermined constant; and display a combination of the selected values on the image.
9341843
13429599
1
1. A head-mounted display device comprising: an integrated processor for handling virtual content for display; an integrated image source for introducing the virtual content, the integrated image source including: a reflective pixel array of individually addressable pixels, the reflective pixel array configured to form a virtual display image based on the virtual content, a light source configured to illuminate the pixel array, and a polarization-sensitive surface configured to receive illumination from the light source, to reflect the illumination onto the pixel array, and to transmit the image formed by the pixel array, the polarization-sensitive surface opposing the pixel array and curving away from the pixel array by more than half a width of the pixel array; and a beam-splitting assembly configured to receive the virtual display image transmitted through the polarization-sensitive surface and to redirect the virtual display image to a viewing location, in combination with external imagery.
20150248598
14627329
0
1. A rendering apparatus comprising: a determining unit configured to determine one of a plurality of estimation methods used for estimating a time required to render printing data, on a basis of features of a plurality of rendering objects included in the printing data; and an estimating unit configured to estimate the time required to render the printing data by the determined method.
9497370
14441503
1
1. A lens stack array, comprising: lens elements formed on substrates separated by spacers, where the lens elements, substrates and spacers are configured to form a plurality of optical channels; wherein at least one optical channel includes: at least one aperture; at least one spectral filter, where each spectral filter is configured to pass a specific spectral band of light; at least one quantum dot color filter positioned to receive the specific spectral band of light passed by the at least one spectral filter located within the optical channel, where the at least one quantum dot color filter shifts each incoming photon passed by the at least one spectral filter to a specific narrow band of output wavelengths; at least a first optical channel includes at least one spectral filter configured to pass a first spectral band of light; at least a second optical channel includes at least one spectral filter configured to pass a second spectral band of light; and at least one quantum dot color filter is located within each of the first and second optical channels and is positioned to receive a specific spectral band of light passed by the at least one spectral filter located within each optical channel, where the at least one quantum dot color filter in each optical channel is configured to emit a spectral band of light that is within the same spectral band in response to incident light passed by the different spectral filters in each optical channel.
20180084193
15802994
0
1. An optical system comprising: a first camera arranged to have a first field of view, the first camera comprising: a light redirector configured to redirect light; a first lens assembly comprising a first lens and a first actuator for moving the first lens, the first lens assembly being disposed optically downstream of the light redirector; a first image sensor configured to receive light representing the first field of view, the first sensor being disposed optically downstream of both the light redirector and the first lens assembly; a second camera arranged to have a second field of view that at least partially overlaps with the first field of view, the second camera comprising: a second lens assembly comprising a second lens and a second actuator for moving the second lens; a second image sensor configured to receive light representing the second field of view, the second sensor being disposed optically downstream of the second lens assembly.
5471568
08085340
1
1. An object-oriented method for scan converting a closed geometric figure having a plurality of edges into a plurality of scan line pixels, the method operating in a computer system having a memory, wherein the geometric figure is represented by a graphic object which is comprised of data describing the plurality of edges and an object function for traversing the plurality of edges to outline the figure, the method comprising the steps of: (a) loading the graphic object into the memory; (b) creating a plurality of edge objects each of which edge objects comprises edge data describing a predetermined edge shape and an edge function for moving along the predetermined edge shape, utilizing the steps of: (b1) selecting a single name for the plurality of edge objects; (b2) assigning the selected name to each of the plurality of edge objects; and (b3) assigning different parameters to each of the plurality of edge objects; (c) accessing the graphic object and utilizing the data and the object function therein to select ones of the plurality of edge objects to represent the edges; (d) creating an edge engine object comprising a plurality of scan line functions for identifying portions of scan lines which lie within the geometric figure and on the edges; and (e) using the edge engine object scan line functions and the selected ones of the plurality of edge objects to generate a plurality of scan line pixels corresponding to identified portions of scan lines.
20110164696
12979479
0
1. A communication method of a receiver, the communication method comprising: calculating an eigenvector matrix comprising eigenvectors of a channel matrix or a channel covariance matrix; generating a codebook for each eigenvector of the eigenvector matrix such that each codebook has a different size based on eigenvalues of the channel matrix or the channel covariance matrix; quantizing each of the eigenvectors using the respective codebook for each eigenvector; and transmitting, to a transmitter, information associated with each of the quantized eigenvectors.
20140010454
13934007
0
1. An apparatus comprising: a determination unit configured to determine quality of an object in image data; an extraction unit configured to extract feature information of the object; and a registration unit configured to register, in a dictionary, the feature information extracted by said extraction unit, wherein when the quality of the object determined by said determination unit is lower than a predetermined reference, said registration unit does not register the feature information in the dictionary.
20060183999
11313598
0
1. A method for MR imaging, comprising: predicting from multiple real time imaging data, motion of an object; and obtaining high-resolution imaging data of the object using the predicted motion.
20020173960
10044464
0
1. A computer method for generating a response output to be provided to a user of a computer; the method comprising the steps of: receiving a response representation specifying a structured output for use as the basis for the response output to the user, the response representation associated with a domain model for a speech-enabled application; selecting a syntax template based on a goal-directed rule invoked in response to the response representation; and producing the response output based on the selected syntax template, the response representation, and the domain model.
9432596
14050820
1
1. An image processing apparatus comprising: a determination unit configured to determine a target pixel and a pixel used as a reference pixel among pixels of a pixel array included in a predetermined area within a predetermined distance from the target pixel in RAW image data, the RAW image data having arrayed pixel values of different color components; and a generation unit configured to generate corrected image data by correcting a pixel value of the target pixel in the RAW image data, based on a similarity between the target pixel and each reference pixel, wherein the target pixel and each reference pixel have pixel values corresponding to one color component, and the pixel determined as the reference pixel by the determination unit has a pixel value of the same color component as the target pixel and the pixel array within a predetermined distance from the pixel determined as the reference pixel by the determination unit is the same pixel array within a predetermined distance from the target pixel.
9183286
12132561
1
1. A method for use with at least one keyword retrieved from a first set of documents, wherein the keyword corresponds to a predefined subject matter, the method comprising: constructing snippets from textual material in said first set of documents stored on a computer to produce constructed snippets, each of said constructed snippets including at least one non-key word appearing within a specified text distance of said at least one keyword; defining, by a computer processor, a plurality of categories wherein each of said constructed snippets is assigned to one of said plurality of categories, only if said assigned snippet is not already assigned to another of said plurality of said categories, each of said plurality of categories being designated for receiving similar constructed snippets; creating a respective mathematical model for each of said plurality of categories; analyzing a second set of documents to determine an assignment for each document in said second set of documents to a selected one of said plurality of categories, said assignment based on matching each of said documents in said second set of documents to said mathematical model for the selected one of said plurality of categories; assigning a numeric vector to each document of the first and second sets of documents, wherein the numeric vector represents occurrences of one of the constructed snippets within the respective document; creating a partition taxonomy that includes less than all of the plurality of categories, wherein the partition taxonomy creation is based on a clustered configuration of the first and second sets of documents; editing, using a computer processor, less than all of the plurality of categories in the partition taxonomy using domain expertise to produce edited categories in an edited partition taxonomy, such that each document of the first and second sets of documents is assigned to a corresponding one of the less than all of the plurality of categories; creating a classification taxonomy based on the edited partition taxonomy, based on a number of documents in each of the edited categories, based on percentage similarity of words between documents in one of the edited categories, and based on distances between category centroids of the edited categories, wherein a category centroid for an edited category is an average of values of the numeric vectors for the documents in the category; identifying at least one white space in said classification taxonomy, said at least one white space including one or more of the edited categories that contain fewer than a specified number of documents.
20140376805
13922934
0
1. A method for demosaicking a digital image captured by an image sensor overlaid with a color filter array, wherein each of pixels of the digital image has one of a first color, a second color and a third color, and the pixels of the digital image are processed in an order from the upper-left to lower-right of the digital image, the method comprising: if a current-processed pixel is the second color or the third color, implementing a first process to the current-processed pixel to obtain a value of the first color, wherein the first process comprises: generating a first sub-window centered at the current-processed pixel; using a first mask to select a first plurality of prior-processed pixels; calculating a set of direction weightings of the current-processed pixel according to stored direction weightings of the first plurality of prior-processed pixels; determining an interpolating direction of the current-processed pixel according to the set of direction weightings of the current-processed pixel; calculating a value of the first color for the current-processed pixel based on the set of direction weightings of the current-processed pixel and values of the first color of pixels of the first color in the first sub-window; and storing the largest one of the set of direction weightings, the interpolating direction and the value of the first color of the current-processed pixel.
8346518
12429149
1
1. A system for predicting the results of a therapeutic intervention for an eye of a patient, comprising: an imaging system configured to provide image data representing at least a portion of the eye of the patient; an input device configured to permit a user to design a proposed therapeutic intervention for the eye of the patient; a finite element modeling component configured to generate a finite element model representing the condition of the eye of the patient after the proposed therapeutic intervention according to the image data, the proposed therapeutic intervention, and at least one biomechanical property of tissue comprising the eye, the generated model having no a priori restraints on the motion of a corneal limbus of the eye; and a display configured to display the generated model to the user.
9792703
14792259
1
1. A method for generating a synthetic two-dimensional mammogram with enhanced contrast for structures of interest, the method comprising: acquiring, with a medical scanner, a three-dimensional digital breast tomosynthesis volume having a plurality of voxels; generating a three-dimensional relevance map that encodes for the plurality of voxels a relevance of an underlying structure for a diagnosis; and calculating a synthetic two-dimensional mammogram based on the three-dimensional digital breast tomosynthesis volume and the three-dimensional relevance map, wherein calculating the synthetic two-dimensional mammogram is based on ray-casting in the generated three-dimensional relevance map and the acquired three-dimensional digital breast tomosynthesis volume.
8264574
12375805
1
1. An electronic image capture system for capturing a reduced noise image of a scene, comprising a detector array and an image processing apparatus, the detector array being arranged to provide to the image processing apparatus data representing at least one image of a scene detected by the array, and the image processing apparatus storing a noise model that characterizes the noise performance of the image capture system, wherein the image processing apparatus is arranged to perform operations comprising: based on the image data and the noise model, identifying one or more portions of the scene that are predicted to contribute disproportionately to visible noise in an image formed from said image data; and based on the identified portions of the scene and the noise model, determining an exposure pattern for the image capture system that is predicted to produce multiple exposures of the scene that are combinable to produce an image with a minimal predicted noise.
9633007
15079883
1
1. A method for aspect categorization comprising: receiving an input text sequence; providing for identifying aspect terms in the input text sequence; providing for identifying sentiment phrases in the input text sequence; for an identified aspect term: providing for identifying sentiment dependencies in which the aspect term is in a syntactic dependency with one of the identified sentiment phrases, and from a dependency graph of the input text sequence, the dependency graph comprising a sequence of nodes, providing for identifying pseudo-dependencies in which a node representing the aspect term precedes or follows a node representing a semantic anchor in the dependency graph without an intervening other aspect term; extracting features from at least one of identified sentiment dependencies and identified pseudo-dependencies; with a classifier trained to output at least one of category labels and polarity labels for aspect terms, classifying the identified aspect term based on the extracted features; and outputting information based on the classification.
20170019716
15210730
0
1. A computer-implemented method comprising: receiving an initial frame, wherein the initial frame includes pixel data; determining initial cue data for the initial frame, wherein the initial cue data includes a plurality of initial pixel data samples associated with the initial frame; sending the initial cue data, wherein the initial cue data is addressed to a server; receiving a new frame, wherein the new frame includes pixel data, and wherein the new frame is received after the initial frame; determining new cue data for the new frame, wherein the new cue data includes a plurality of new pixel data samples associated with the new frame; identifying a pixel value range, wherein pixel data samples are determined to be similar when a pixel value difference between the pixel data samples is within the pixel value range; determining a pixel value difference between an initial pixel data sample and a new pixel data sample, wherein the initial pixel data sample corresponds to the new pixel data sample; determining the pixel value difference is within the pixel value range; updating the new cue data by removing the new pixel data sample from the new cue data when the pixel value difference is within the pixel value range; and sending the updated new cue data, wherein the updated new cue data is addressed to the server.
7542949
10843994
1
1. A computer-implemented method for controlling operations of a system in an environment using temporal patterns in data sequences, comprising: constructing a hierarchical tree of nodes, the hierarchical tree of nodes including a root node, a plurality of intermediate nodes, and a plurality of leaf nodes, and in which the root node has a plurality of child nodes, each intermediate node has a parent node and a plurality of child nodes, and each leaf node has a parent node; associating each node with a composite hidden Markov model, in which each composite hidden Markov model associated with the root node or an intermediate node has one independent path model corresponding to each child node of the node, and in which each composite hidden Markov model associated with a leaf node has a plurality of independent final path models; acquiring a set of training data sequences representing known temporal patterns of motion of physical objects in an environment; training the composite hidden Markov models using the set of training data sequences, in which the training further comprises: training the composite hidden Markov model associated with the root node with the set of training data sequences; training the composite hidden Markov models associated with each intermediate node with intermediate subsets of the set of training data sequences, each intermediate subset of the set of training data sequences including a training data sequence generated by the corresponding independent path model of the parent node of the intermediate node; and training the composite hidden Markov model associated with each leaf node with leaf subsets of the set of training data sequences to produce a plurality of trained final path models, each leaf subset of the set of training data sequences including a training data sequence generated by the corresponding independent path model of the parent node of the leaf node; constructing a single final composite hidden Markov model, in which the single final composite hidden Markov model has one independent path model for each trained final path model; acquiring unknown data sequences representing unknown temporal patterns of motion of physical objects in the environment; employing the single final composite hidden Markov model to determine known temporal patterns in the unknown data sequences; and controlling operations of a system in the environment using the determined known temporal patterns.
20130096928
13636922
0
1. A method of processing an audio signal, comprising the steps of: determining bandwidth information indicating that a current frame corresponds to which one among a plurality of bands including a 1 st band and a 2 nd band by performing a spectrum analysis on the current frame of the audio signal; determining order information corresponding to the current frame based on the bandwidth information; generating a 1 st set linear-predictive transform coefficient of a 1 st order by performing a linear-predictive analysis on the current frame; generating a 1 st set index by vector-quantizing the 1 st set linear-predictive transform coefficient; generating a 2 nd set linear-predictive transform coefficient of a 2 nd order in accordance with the order information by performing the linear-predictive analysis on the current frame; and if the 2 nd set linear-predictive transform coefficient is generated, performing a vector-quantization on a 2 nd set difference using the 1 st set index and the 2 nd set linear-predictive transform coefficient.
9210385
13682606
1
1. A method of enabling retrieval of information from a video surveillance system, the method comprising: automatically identifying an object of interest in a video scene of a master camera or a slave camera, the object of interest for the slave camera being determined as a function of metadata from the master camera; automatically classifying at least one feature in the object of interest; tracking the object of interest by adjusting the slave camera's field of view based on object information included in the metadata from the master camera and processing the video scene at the slave camera based on the object information from the master camera; and storing a representation of the at least one feature in a form of metadata, including the metadata from the master camera to the slave camera and slave metadata associated with the object identified, the stored representation associated with video of at least the slave camera in a manner enabling retrieval of information about the object of interest, wherein the slave metadata includes detailed object information extracted from the video scene by the slave camera.
20070010973
11218114
0
1. A method comprising: obtaining a first spectrum associated with an electron energy excited from one or more elements in a sample film; obtaining a processed spectrum, said processed spectrum having a background spectrum removed from said first spectrum; optimizing a simulated spectrum as a function of element distribution profile for said one or more elements; matching said processed spectrum to said simulated spectrum using a minimization algorithm; and determining a distribution profile for said one or more elements in said sample film based on the matching and minimizing.
8515714
13048322
1
1. A method executed in a computer system for matching a computed curve to a target curve representing material behaviors in computer aided engineering simulations, said method comprising: receiving a definition of a target curve by an application module installed in a computer system, the definition being a set of target curve points; obtaining a computed curve using a computer aided engineering analysis model configured for creating the computed curve via a plurality of control parameters, the computed curve being defined by a set of computed curve points; calculating the target curve's total polygon length by summing up respective straight-line segment lengths of the target curve's segments, wherein the target curve's segments are located between an adjacent pair of the target curve points; calculating the computed curve's total polygon length by summing up respective straight-line segment lengths of the computed curve's segments, wherein the computed curve's segments are between an adjacent pair of the computed curve points; designating a shorter one of the target and the computed curves as a shorter curve and a longer one as a longer curve by comparing the computed curve's total polygon length to the target curve's total polygon length; conducting one or more partial matching attempts to find a best matching between the shorter curve and a section of the longer curve, each of the partial matching attempts includes placing a set of mapped points on the longer curve such that total length of partial and full straight-line segments on the longer curve between each pair of adjacent mapped points is equal to said corresponding straight-line segment length of the shorter curve, wherein said each of the partial matching attempts starts at respective offsets from starting point of the longer curve; calculating a discrepancy of each partial matching attempt using a discrepancy measurement based on area between the set of mapped points and the corresponding points on the shorter curve; designating a particular one of the partial matching attempts having a lowest discrepancy as the best match; iteratively updating the computed curve by adjusting the control parameters until said lowest discrepancy between the computed and target curves is within a tolerance; and storing the control parameters along with the computer aided engineering analysis model into a file on a storage device coupled to the computer system upon user's instructions.
20040134273
10473125
0
1. A detector (D) of a substance's volatile signature (SEE) in breath (MG), comprising a group (PC) of gas sensors (CT 1, CT 2, CT 3 ), characterized in that it moreover comprises: means for storing (ME) calibration coefficients (K) of the detector; means (T) for combining the responses of the sensors with said coefficients and for supplying information on the presence of said substance.
8116530
12125649
1
1. A map change detection device that detects changes in features that are targets described on a map, the map change detection device comprising: a stereo matching processor that, inputted with a plurality of images taken of predetermined regions from a plurality of different positions, extracts digital surface model data representing surfaces of the predetermined regions in three-dimensional coordinates; a feature height extractor that extracts feature heights where an elevation from ground level is subtracted from the digital surface model data extracted by the stereo matching processor; and a change detector that detects changes in a feature that is the target by comparing feature height data extracted by the feature height extractor and map data.
7732744
11993758
1
1. An image-capturing apparatus comprising: an imaging optical system; a microlens array having a plurality of microlenses two-dimensionally arrayed with a predetermined pitch in a vicinity of a focal plane of the imaging optical system; a photoreceptor array having a plurality of photoreceptors for each of the microlenses, each of the photoreceptors receiving bundles of rays passing through one of different regions at an exit-pupil of the imaging optical system; and an arithmetic unit that generates a synthetic image in an image plane at a desired position optionally set in an optical path of the imaging optical system, based on photoreception signals output from the photoreceptor array, wherein the arithmetic unit generates the synthetic image in the image plane at the desired position optionally set in the optical path of the imaging optical system, by obtaining a light amount of bundles of rays incident on a region a size of which is optionally set at the desired position, based on the desired position, the size of the region, a solid angle of bundles of rays incident on the region corresponding to a desired aperture, and photoreception signals output from the plurality of photoreceptors for each of the microlenses.
20040148592
10248287
0
1. An apparatus for compiling source code, comprising: a tokenizer for segmenting source code into a sequence of tagged segments; the source code including at least one instruction composing a first abstraction and a second abstraction with a selected composition operator; a parser for building a tree using the sequence of tagged segments; a type checker for performing a first pass of the tree to determine whether abstractions on the tree are well typed; a composer for reducing the at least one instruction composing the first and the second abstractions on the tree to a third abstraction; the composer substituting the first and the second abstractions on the tree with the third abstraction; wherein the type checker performs a second pass of the tree to determine whether the third abstraction is well typed.
20160174945
14933164
0
1. A medical imaging apparatus comprising: a storage unit configured to store a patient adaptive object model in which a statistical object model related to transformation of an object caused by a periodic movement is applied to characteristics of the object of a target patient; an image obtainer configured to acquire a first image of the target patient; and an image fuser configured to transform a second image of the target patient based on differences between a shape of the object extracted from the patient adaptive object model and a shape of the object displayed on the first image.
7487146
11366585
1
1. A method of performing a search, comprising: receiving a selection of a focal object from a user; in response to receiving the selection of the focal object from the user, automatically and without subsequent user intervention: i) extracting focal information from the focal object; ii) identifying a first related object containing the focal information; iii) extracting first related information from the first related object; iv) identifying a second related object containing the first related information; and v) displaying the first related object and the second related object temporarily.
8594389
12625190
1
1. A security system for detecting the presence of one or more persons in a location to be monitored, said system comprising: (i) one or more light sources directed in the direction of said location; (ii) one or more light detectors for detecting reflections of said one or more light sources from said one or more persons to form an image representing eyes of said one or more persons; (iii) a scanning module to direct said one or more light sources and said one or more light detectors at narrow portions of said location at a time, capturing an image of said narrow portion of said location; (iv) a mechanical bracket on which said one or more light sources and said one or more light detectors are mounted; (v) a scanning controller for driving said scanning module, said scanning controller moving said one or more light sources together with said one or more light detectors, on said mechanical bracket, to a new position after each image of said narrow portion of the location is captured; (vi) a joining module for combining said captured images of said narrow portions of said location to form a single image of said location; and (vii) a processing unit for analyzing said single image to identify and count the number of eyes on said single image.
9946750
14474682
1
1. A computer-implemented method for generating statistics for processing database queries, the method comprising: receiving, by a query compiler, from a client device, a plurality of database queries by a database system, the database queries processing data stored in database tables of the database system; identifying, by the query compiler, missing statistics while generating execution plans for database queries, the identifying comprising, for each of the plurality of database queries: requesting a statistical information useful for generating an execution plan for a database query; and determining that the requested statistical information is not available; and storing information describing the requested statistical information as missing statistics, responsive to determining that the requested statistical information is not available; ranking the identified missing statistics based on a number of times each missing statistics was identified as being not available during generation of execution plan; determining a subset of the identified missing statistics for use in generating execution plans for subsequent database queries, wherein determining the subset comprises selecting identified missing statistics based on the ranking; receiving, by the query compiler, the subsequent database queries; generating, by the query compiler, an execution plan for the one of the subsequent database queries using at least one of the identified missing statistics from the subset; executing, by an execution engine, the generated execution plan for the one of the subsequent queries to determine a result set; and sending the determined result set to the client device.
20140277309
14204829
0
1. A method for treating a subject having a condition associated with a mood or an emotional state, comprising: applying electrical stimulation to at least one facial muscle associated with said mood or emotional state to activate one or more neural tracts of at least one of the extrapyramidal or pyramidal motor systems of the subject, thereby altering a mood parameter or emotional state of the subject.
20110249748
13085580
0
1. A method to generate a modified residual block using a video encoder, the encoder being configured to perform a prediction operation with regard to an original block to generate a predicted block and to determine a residual block as the difference between the original block and the predicted block, and the encoder including a feedback loop containing a deblocking filter for deblocking a reconstructed block to generate a deblocked reconstructed block, the method comprising: determining, by comparison with the original block, which portions of the deblocked reconstructed block are more similar to corresponding parts of the original block than are the corresponding portions of the reconstructed block; performing a modified prediction search based upon a modified original block to locate a modified prediction block, wherein the modified original block is the original block modified to incorporate the portions of the deblocked reconstructed block determined to be more similar; and generating a modified residual block from the original block and the modified prediction block.
9697437
14715101
1
1. A method for identifying a logo within an original image, comprising: receiving the original image that is to be searched for the logo; obtaining a first classifier trained using labeled representations of histograms of gradients to identify the logo; obtaining a second classifier trained using labeled parts models to identify the logo; analyzing whether the original image includes the logo by performing region analysis and parts model analysis, wherein the region analysis includes: dividing the original image into regions; and for each selected region of the regions: enlarging the selected region to a specified size; generating a histogram of gradients of the enlarged selected region, wherein generating the histogram of gradient comprises applying a derivative mask in one or more directions and filtering image colors or intensity data; and computing first classifier results indicating whether the selected region includes the logo, the computing first classifier results performed by providing a version of the generated histogram of gradients of the enlarged selected region as input to the obtained first classifier; and wherein the parts model analysis includes: identifying key features of the original image; generating a parts model of the original image by representing one or more of the identified key features as a point, line, or curve, and connecting at least a pair of the identified key features; and computing second classifier results indicating whether the original image includes the logo, the computing second classifier results performed by providing a version of the generated parts model as input to the obtained second classifier; determining, based on the first classifier results or the second classifier results, that the original image includes the logo; and providing, based on the determining, an indication that the original image includes the logo.
8625849
13364077
1
1. A method comprising: accessing a first image and a second image of at least a portion of a scene; analyzing, by a processor, the first image and the second image to detect an object of interest in at least one of the first image and the second image; generating a history of the object of interest; detecting an occurrence of a gesture made by the object of interest by analyzing the history; and providing an output based on the detected occurrence of the gesture.
10019821
14941021
1
1. An apparatus configured to construct an indoor map, the apparatus comprising: a processor configured to, extract cloud point information from scan information associated with points inside a target facility, construct the indoor map of the target facility based on the cloud point information by, acquiring attribute information associated with each of the points, the attribute information including at least one of (i) numerical or textual data, or (ii) a determined structure, performing a drawing operation based on the cloud point information, mapping the attribute information to space information associated with the target facility to construct the indoor map, and determine whether the drawing operation contains errors by detecting whether the attribute information in the indoor map is at least one of (i) incorrect or (ii) missing.
20090092303
12150790
0
1. A computer-readable medium storing computer executable instructions that when executed by a computer associated with a pMRI apparatus cause the pMRI apparatus to perform a method, the method comprising: acquiring under-sampled data sets; assembling a static composite data set from the under-sampled data sets; creating an under-sampled dynamic data set from a frame of interest in the under-sampled data sets and the static composite data set; assembling a composite dynamic data set from the under-sampled data sets; producing a dynamic calibration data set from the composite dynamic data set and the static composite data set; computing a set of dynamic reconstruction parameters from the dynamic calibration data set; reconstructing an image of a dynamic portion of the object being imaged based, at least in part, on the under-sampled dynamic data from the frame of interest and the dynamic reconstruction parameters; reconstructing an image of a static portion of the object being imaged based, at least in part, on the static composite data set; and producing a final image by combining the reconstructed image of the dynamic portion of the object being imaged to the reconstructed image of the static portion of the object being imaged.
8419190
13004957
1
1. A computing device with an imaging function, comprising: a projection unit, comprising: a projection lens, projecting an image output from the computing device; and a driving unit, mechanically connected to the projection lens for driving the projection lens moving among a plurality of projective positions along an optical axis; an image receiving unit, receiving the images orderly projected at every projective position through the projection lens, and at least a part of each image regarded as a plurality of candidate images that one-by-one correspond to the projective positions; and a processing unit, controlling the projection unit to project the images and the image receiving unit to receive the candidate images, the processing unit comprising: a definition computing unit, executing a program instruction to retrieve the candidate images received by the image receiving unit, and computing contrast of the candidate images to determine definition of each of the candidate images for acquiring one candidate image whose definition is better than the definition of other candidate images, and deemed a focus image, wherein the projective position with respect to the focus image is a focus position; and a control unit, generating a control signal according to the focus position; wherein, when the driving unit receives the control signal, the projection lens is driven to the focus position according to the control signal; wherein the definition computing unit selects a first image, a second image and a third image from the retrieved candidate images, and computes the definition of each selected image, wherein the projective position related to the second image is between the projective position of the first image and the projective position of the third image, and confirms whether the position of the focus image is between the projective position of the first image and the projective position of the third image according to the computation of the definition.
20030184545
10392864
0
1. A three-dimensional model generating system for generating a building model on the basis of map information describing the arrangement of building regions and roads on a two-dimensional plane and elevation-data that is generated by mapping altitude information to each observation point on the two-dimensional plane, comprising: a coordinate transform obtaining unit that performs coordinate transformation from the map information to the elevation-data; a building region extracting unit that arranges the altitude information according to each building region; a plane extraction unit that extracts planes including the altitude information on the basis of the altitude information according to each building region; a boundary line identifying unit that identifies a boundary between the planes; and a plane connection unit that connects the planes, between which the boundary has been identified, whereby the building model formed of a simply-connected polyhedron is generated.
8786576
12975176
1
1. A three-dimensional (3D) space touch apparatus, comprising: an infrared Light-Emitting Diode (LED) array; left and right infrared cameras; a support that supports the infrared LED array and the left and right infrared cameras, wherein the infrared LED array emits infrared rays to form an infrared screen having a predetermined shape in a space above the support, and wherein the left and right infrared cameras are disposed on left and right sides of the support so that lenses thereof can be oriented to the infrared screen; and a space touch sensor module that calculates X-axis, Y-axis and Z-axis coordinates of a selected location in the infrared screen, touched by user pointing means, using scattering or diffusion of the infrared rays generated in images including the selected location captured by the left and right infrared cameras when the selected location is touched by the user pointing means, wherein the space touch sensor module: calculates the Z-axis coordinate of the selected location in the infrared screen by dividing a vertical-axis coordinate of locations, corresponding to the selected location of the camera images touched by the user pointing means, by a resolution of the left and right infrared cameras, and multiplying a result of the division by a predetermined distance of the Z-axis; and calculates the X-axis and Y-axis coordinates of the selected location in the infrared screen using lateral-axis coordinates of the locations in the camera images touched by the user pointing means and information about angles of view of the left and right infrared cameras.
10037027
15635222
1
1. A method for determining an energy-efficient path of an autonomous device wherein said autonomous device moves over a global grid of cells into which a given operating area has been split, said determination of the energy-efficient path comprises the steps of: processing of a current cell which represents a current position of the autonomous device; taking a measurement σ of the processing; classifying the measurement σ to be of a particular level, taking into account a predefined range of measurement results which is divided into a plurality of distinct levels; storing said classified measurement in a memory of the autonomous device and associating the stored classified measurement with the current cell; selecting a reference probability grid, wherein values in the cells of the reference probability grid express a probability that a measurement σ of the processing in a cell will be the same, respectively, to a cell at the reference probability grid, whereas a center cell in the selected reference probability grid which is associated with the current cell is assigned a maximum probability, while other cells within the reference grid have a probability assigned, which lowers with an increase of a distance of a cell from the current cell; updating the probabilities by applying the reference grid to the global grid at the current position such that each cell on the reference grid corresponds unambiguously to one cell on the global grid; and moving the autonomous device to a next cell of the global grid and setting said next cell as the current cell in order to process the next cell.
9544623
14326218
1
1. A system for selecting one of a plurality of video versions in response to a video request by a user of a user device having a processor, the system comprising: a computer server comprising at least one processor and a network interface card configured to connect to the user device via a network, wherein the processor comprises: a video profiler configured to provide compressibility information related to a video; a user profiler configured to predict usage patterns from a user history at the time of request; and a stream selector configured to pre-emptively select optimized bit-rates during a billing cycle by: selecting one of the plurality of video versions to deliver to the user device based on a current video utility, estimating an expected future utility of the user at different times during a billing cycle based on compressibility and usage patterns from a user history, selecting one of the plurality of video versions that maximizes the current video utility plus expected future utility of the user at selection time based on a remaining data quota, and transmitting, via the network, the selected video for display on the user device.
20020141614
09820058
0
1. An apparatus comprising: an eye tracking system for determining an eye-gaze direction line of a user looking at a display screen of a display device; an eye-gaze tracking module for extracting the eye-gaze direction from the eye tracking system and for determining an intersection point where the eye-gaze direction line intersects with the display screen; wherein the eye-gaze tracking module sends the intersection point data to a scalable video decoder; and wherein the scalable video decoder receives an encoded video stream and provides a first set of higher video resolution data to a first region surrounding the intersection point on the display screen and a second set of lower video resolution data to a second region of the video screen.
8953060
13621009
1
1. A hand held electronic device, comprising: a CMOS image sensor for capturing image data; a user input device; and, a central processor having: multiple processing units, a signal interface, an image sensor interface, and a user input device interface, wherein the image sensor interface is configured to receive the image data from the CMOS image sensor, and the user input device interface is configured to receive user input from the user input device; wherein the multiple processing units are configured to process the image data in parallel together with the user input from the user input device by executing image processing instructions that correspond to a signal, received at the signal interface, that is associated with a user selectable graphic representative of a manipulation to the image data.
20030012347
10143641
0
1. A method for the training or adaptation of a speech recognition device ( 4 ) which is used to act upon functions of an electrical appliance ( 1 ), in which the following steps are provided: performance of a speech input; processing of the speech input by means of the speech recognition device ( 4 ) for the production of a speech recognition result; if the speech recognition result can be allocated to a function of the electrical appliance ( 1 ), action upon the allocatable function of the electrical appliance ( 1 ); training or adaptation of the speech recognition device ( 4 ) on the basis of the speech recognition result associated with the speech input made, if the action upon the allocatable function of the electrical appliance ( 1 ) does not cause a user input expressing rejection.
9239854
13913658
1
1. A computer-implemented method, comprising: forming, by a computing device, a data model that includes (i) objects representative of physical data in separate domains and (ii) relationships of non-data types between the objects; and generating, using the data model, an impact analysis interface that depicts the objects and the non-data types of relationships between the objects, wherein generating includes: generating options that are selectable on the impact analysis interface; receiving from a second computing device selected options as received filtering criteria; and identifying the options other than the selected options as unselected information; and data scoping information about the objects and the relationships on the impact analysis interface, wherein data scoping the information includes generating filtered information according to the received filtering criteria and modifying the impact analysis interface to include the filtered information and to the exclude unselected information.
20020067850
09728368
0
1. A method for scanning a document and processing the captured video image data, comprising: (a) acquiring scanned image data from a first region of the document; (b) determining an initial estimate of an image attribute using selected pixels from within the first region; (c) acquiring scanned image data from a second region of the document; (d) processing pixels within the second region in accordance with the initial estimate of the image attribute; (e) determining a second estimate of the image attribute using selected pixels in the second region of the document; (f) determining if the initial estimate is valid; and (g) if the initial estimate is not valid, rescanning the document and processing pixels within the rescanned document in accordance with the second estimate.
8923594
13695369
1
1. A method for identifying spiculated anomalies in an image comprising pixels, the method comprising: generating a bulge mask from a digital image, the bulge mask comprising potential convergence hubs for spiculated anomalies; detecting ridges in the digital image to generate a detected ridges map; projecting the detected ridges map onto a set of direction maps having different directional vectors to generate a set of ridge direction projection maps; determining wedge features for the potential convergence hubs from the set of ridge direction projection maps; selecting ridge convergence hubs from the potential convergence hubs having strongest wedge features; extracting classification features for each of the selected ridge convergence hubs; and classifying the selected ridge convergence hubs based on the extracted classification features, wherein projecting the detected ridges map onto the set of direction maps comprises: separating the detected ridges map into a line mask image, a row component image, and a column component image; and determining a dot product of the line mask image, the row component image, and the column component image with the directional vectors.
8238668
12101509
1
1. A method for controlling an electronic device, comprising: holding an object in a specific orientation to present an aspect; capturing an image of the object; comparing the current captured image with images in a library of image-command associations to find a match; and when finding a match, triggering a command execution of the matching image-command association; wherein the comparing step further comprises establishing a new image-command association corresponding to the captured image when no match is found.
8285728
12861990
1
1. A computer-implemented iterative semantic search method for searching words on a document, the method comprising the steps of: scanning a document containing a sequence of document words broken into a sequence of moving document windows formed by contiguous sentences on the document; forming a query containing a sequence of query words broken into query windows representing queries about the contents of the scanned document; a normalizer step responsive to the query for converting the various forms of each word to its normal form, where its meaning is mostly preserved by the surrounding context; a lexicon step for providing synonyms defined by repetition and locality of reference for any normalized word; a repository step for storing and indexing each of the synonyms for a defined window size; a parser step for building undirected graphs represented by edges and vertexes using a specified number of sentences from the document; a heuristics step for taking as an input the current success in growing graphs and producing as an output the size of the moving window for use by the parser; a randomizer step for reducing required storage and search time by removing duplicate sub-graphs and embedded sub-graphs from the storage repository; a cache step for applying temporal and spatial locality for subsequent queries; and a graph search algorithm step, which rank orders matching graphs for the query sub-graphs, if any, on the basis of matching sub-graphs.
9144829
13910770
1
1. A method of organizing pathology assets, the method comprising: receiving a group of pathology assets, each pathology asset including (i) a sample portion which stores a pathology sample and (ii) an asset identification portion which identifies that pathology asset among other pathology assets; performing an iterative sorting operation to sort the group of pathology assets into smaller subgroups; and based on results of the iterative sorting operation, storing the smaller subgroups in respective container files; wherein the iterative sorting operation includes: distributing the pathology assets of the group of pathology assets among a set of first dividers based on application of a first sorting criteria to the asset identification portions of the pathology assets to separate the group of pathology assets into subgroups, and distributing a subgroup of pathology assets from one of the first dividers among a set of second dividers based on application of a second sorting criteria to the asset identification portions of the pathology assets to separate the subgroup of pathology assets into the smaller subgroups.
20130151536
13315415
0
1. A method for processing a random-walk based vertex-proximity query on a graph, wherein the method comprises: dividing a graph into multiple clusters that are estimated to contain a random walk for a duration of time; computing meta-information related to the random walk inside each of the multiple clusters from the graph; dynamically updating the multiple clusters and corresponding meta-information upon modification of the graph; and identifying a subset of one or more clusters from the multiple updated clusters that are relevant to a query vertex and aggregating corresponding meta-information to process the query by computing a stationary distribution of the random walk from the query vertex; wherein at least one of the steps is carried out by a computer device.
20040062403
10256882
0
1. An adaptive filter, comprising: a solution vector generator that develops a sparse expression of an initial solution vector; and a proportionate normalized least mean squares (PNLMS) analyzer, coupled to said solution vector generator, that employs said sparse expression to converge upon at least one coefficient for said adaptive filter.
20110137900
12634176
0
1. A computerized method to identify a common structure from a collection of formatted text documents, said method comprising: creating a two dimensional array to record an occurrence of text segments in the formatted documents, using a processor on a computer; sequentially retrieving documents from said collection of formatted documents; parsing each said retrieved document, using said processor, into text segments according to a segmentation scheme and record scheme attributes of a format used in said formatted documents; entering each occurrence of said text segments in said retrieved documents into said two dimensional array; selecting common text segments across a majority of the documents; creating a one dimensional array and recording therein frequencies of adjacent common segment pairs across the documents; selecting high frequency pairs as starting and ending markers of landmarks; and providing, as an output, a sequence of said landmarks as comprising a common structure of said collection of formatted text documents.
20120303598
13479911
0
1. A method, comprising: obtaining a set of boundaries, the set of boundaries including boundaries for each of one or more bins, the boundaries for each of the one or more bins including a lower boundary and an upper boundary, wherein the set of boundaries of the one or more bins together define a contiguous range of data values capable of being stored in the one or more bins; obtaining a data value; adding the data value to one of the one or more bins according to the boundaries of the one or more bins; determining whether to modify the set of boundaries; and modifying the set of boundaries according to a result of the determining step.
7856344
11962691
1
1. A method for transforming paths in a logical model to their physical equivalent in a physical model, comprising: retrieving a logical model; mapping all entities in the logical model; mapping all paths connecting the entities of the logical model; creating tables corresponding to the entities in the logical model for traceability; creating columns corresponding to attributes of the paths in the logical model for traceability; wherein the tables represent the entities; and wherein creating the tables comprises: considering the attributes for each of the entities to obtain the columns for each of the entities; from the columns, obtaining each of the tables that the columns belong to and for each of the attributes in each of the entities that participate in a logical relationship, obtaining a physical column for each of the entities which is a physical equivalent to the logical relationship; creating a reduced logical model by reducing overlapping paths in the logical model; creating virtual logic paths where an entity is rolled up, is rolled down, and participates in a many-to-many relationship in the reduced logical model; and transforming the reduced logical model into a physical model.
20120059657
13155218
0
1. A method for detecting and recognizing speech, comprising the steps of: remotely detecting body motions from a speaker during vocalization with one or more radar sensors; extracting Doppler signals correlated with the speaker vocalization; developing feature vectors utilizing the vocalization Doppler signals; and recognizing words associated with the feature vectors with a word classifier.
20170178299
14971733
0
1. A method for enhancing digital images, comprising: accessing an input image comprising a background and a foreground; determining, by at least one processor, modifications to enhance the input image by minimizing an energy heuristic that both causes pixels of the input image to change to a uniform color and preserves gradients from the input image; and generating, by the at least one processor, an output image with an enhanced foreground by applying the determined modifications to the input image.
20090232413
12073907
0
1. A method of scanning image files for pornographic image content, the method comprising: maintaining a list of items of copyright information deemed to indicate that the image file is one of acceptable or unacceptable; and processing an image file by: examining any copyright data fields of the image file containing copyright information to detect the presence of any item of copyright information in said list; in the event that there is not detected the presence of an item of copyright information in said list, analysing the image content of the image file to detect the presence of pornographic image content, and outputting data indicating that the image file does or does not contain pornographic image content on the basis of the analysis; in the event that there is detected the presence of an item of copyright information deemed to indicate that the image file is acceptable, outputting data indicating that the image file does not contain pornographic image content, without analysing the image content of the image file; and in the event that there is detected the presence of an item of copyright information deemed to indicate that the image file is unacceptable, outputting data indicating that the image file does contain pornographic image content, without analysing the image content of the image file.
20080200245
11576391
0
1. A gaming machine comprising: a processor and a memory; a display coupled to the processor; a diagnostic module executable by the processor from the memory; a facsimile graphical user interface (GUD) module coupled to the diagnostic module and operable to provide a graphical object on the display, the graphical object representing a physical component of the gaming machine.
9727800
14866781
1
1. A method for detecting a target object, the method comprising: receiving an input image frame; creating a plurality of distinct regions within the input image frame, wherein the plurality of distinct regions has a first probability distribution comprising of a particular probability of being selected for each respective region in the plurality of distinct regions; selecting, according to the first probability distribution, a first region from the plurality of distinct regions; extracting, from the first region, a first one or more descriptors from a first one or more feature points detected within the first region; analyzing one or more properties of the first region to update a particular probability of the first region being selected; creating a second probability distribution for the plurality of distinct regions according to the particular probability of the first region being selected; selecting, according to the second probability distribution, a second region from the plurality of distinct regions; extracting, from the second region, a second one or more descriptors from a second one or more feature points detected within the second region; and referencing at least the first one or more descriptors and the second one or more descriptors for detecting the target object.
20060236201
11406669
0
1. A dual in-line memory module (DIMM) comprising: a rectangular printed circuit board having a first side and a second side, a length of between 149 and 153 millimeters and first and second ends having a width smaller than said length; a first plurality of connector locations on said first side extending along a first edge of said board that extends the length of the board; a second plurality of connector locations on said second side extending on said first edge of said board; a locating key having its center positioned on said first edge and located between 82 mm and 86 mm from said first end of said card and located between 66 and 70 mm from said second end of said card.
20130257866
13541999
0
1. A method comprising: enabling a user of a graphics processor to specify circle of confusion parameters for every vertex in a mesh.
20040268257
10610037
0
1. A method of providing one or more text displays in a plurality of languages within a computer wherein the text displays include one or more character strings, comprising: representing the character strings within a string definition file for each text display; receiving a designation of one or more destination languages; extracting from one or more string definition files into one or more intermediate text files, the character strings in a source language to be converted to the destination languages wherein an intermediate text file is provided for each destination language; converting the character strings in the source language to the destination languages; and inserting the converted character strings from the intermediate text files into the string definition file from which the character strings in the source language corresponding to the converted character strings were extracted.