Patent application number | Description | Published |
20090161967 | METHOD AND APPARATUS FOR OBTAINING AND PROCESSING IMAGE FEATURES - Machine-readable media, methods, apparatus and system for obtaining and processing image features are described. In some embodiments, a Gabor representation of an image may be obtained by using a Gabor filter. A region may be determined from the Gabor representation, wherein the region comprises a plurality of Gabor pixels of the Gabor representation; and, a sub-region may be determined from the region, wherein the sub-region comprises more than one of the plurality of Gabor pixels. Then, a Gabor feature may be calculated based upon a magnitude calculation related to the sub-region and the region. | 06-25-2009 |
20090169065 | Detecting and indexing characters of videos by NCuts and page ranking - Apparatuses, systems, and computer program products that detect and/or index characters of videos are disclosed. One or more embodiments comprise an apparatus an apparatus having a feature extraction module and a cast indexing module. The feature extraction module may extract features of a scale invariant feature transform (SIFT) for face sets of a video and the cast indexing module may detect one or more characters of the video via one or more associations of clusters of the features. Some alternative embodiments may include a cast ranking module to sort characters of the video, considering such factors as appearance times of the characters, appearance frequencies of the characters, and page rankings of the characters. The apparatus may associate or partition the clusters based on a normalized cut process, as well as detect the characters based on measures of distances of nodes associated with the features. Numerous embodiments may detect the characters based upon partitioning the clusters via solutions for eigenvalue systems for matrices of nodes of the clusters. | 07-02-2009 |
20090232414 | Identifying patterns in data - An image feature within image data may be identified and located from the maximum values in a Hough voting table. The Hough voting table may be generated by converting edge pixels identified with an image data into an array. The array may be read in row order with theta on the outside loop and rho on the inside loop. In some embodiments, the storage requirements for the Hough voting table may be reduced. | 09-17-2009 |
20090269022 | DEVICE, SYSTEM, AND METHOD FOR INDEXING DIGITAL IMAGE FRAMES - A method, apparatus and system for, for each of a plurality of image frames, assigning a pattern number to each of a set of pixel neighborhoods within the frame and assigning a relationship number to each of a plurality of sets of pattern numbers based on a probability of transitioning between different pattern numbers in the set of pattern numbers when transitioning between different pixel neighborhoods. For a subset of the plurality of frames, the subset of frames may be determined to be similar, for example, based on the similarity of the relationship numbers of the subset of the plurality of frames. Other embodiments are described and claimed. | 10-29-2009 |
20090285473 | METHOD AND APPARATUS FOR OBTAINING AND PROCESSING IMAGE FEATURES - Machine-readable media, methods, apparatus and system for obtaining and processing image features are described. In some embodiments, groups of training features derived from regions of training images may be trained to obtain a plurality of classifiers, each classifier corresponding to each group of training features. The plurality of classifiers may be used to classify groups of validation features derived from regions of validation images to obtain a plurality of weights, wherein each weight corresponds to each region of the validation images and indicates how important the each region of the validation images is. Then, a weight may be discarded from the plurality of weights based upon a certain criterion. | 11-19-2009 |
20100067863 | VIDEO EDITING METHODS AND SYSTEMS - Video editing methods and systems, including methods and systems to identify video clips having similar visual characteristics. Video clips may correspond to first and second videos, which may include a professional music video and a personal video, respectively. Identified video clips of the personal video may be combined into a new video clip, and music corresponding to visually similar video clips of the music video may be associated with the corresponding video clips of the new video. Video frames of the video clips may be characterized with respect to one or more visual features, which may include one or more of facial and/or body features, salient objects, camera motion, and image quality. Characterizations may be compared between video clips on an incremental basis. Characterization of a music video may implicitly model an underlying correlation between music rhythm and changes in visual appearance. | 03-18-2010 |
20120127171 | TECHNIQUES FOR RAPID STEREO RECONSTRUCTION FROM IMAGES - Stereo image reconstruction techniques are described. An image from a root viewpoint is translated to an image from another viewpoint. Homography fitting is used to translate the image between viewpoints. Inverse compositional image alignment is used to determine a homography matrix and determine a pixel in the translated image. | 05-24-2012 |
20120131010 | TECHNIQUES TO DETECT VIDEO COPIES - Some embodiments include a video copy detection approach based on speeded up robust features (SURF) trajectory building, local sensitive hash (LSH) indexing, and spatial-temporal-scale registration. First, interesting points' trajectories are extracted by SURF. Next, an efficient voting based spatial-temporal-scale registration approach is applied to estimate the optimal transformation parameters (shift and scale) and achieve the final video copy detection results by propagations of video segments in both spatial-temporal and scale directions. To speed up the detection speed, local sensitive hash (LSH) indexing is used to index trajectories for fast queries of candidate trajectories. | 05-24-2012 |
20120189197 | DEVICE, SYSTEM, AND METHOD FOR INDEXING DIGITAL IMAGE FRAMES - Methods and apparatus are disclosed to index digital frames. An example method includes identifying channel types associated with a plurality of image frames, splitting each one of the plurality of image frames into a respective color channel based on the identified channel types, applying a local binary pattern to each of the respective color channels to generate a respective pattern number, generating a spatial representation of each respective pattern number to determine transition probabilities for each channel type, and identifying a degree of similarity between the plurality of image frames based on the transition probabilities. | 07-26-2012 |
20130201187 | IMAGE-BASED MULTI-VIEW 3D FACE GENERATION - Systems, devices and methods are described including recovering camera parameters and sparse key points for multiple 2D facial images and applying a multi-view stereo process to generate a dense avatar mesh using the camera parameters and sparse key points. The dense avatar mesh may then be used to generate a 3D face model and multi-view texture synthesis may be applied to generate a texture image for the 3D face model. | 08-08-2013 |
20130272575 | OBJECT DETECTION USING EXTENDED SURF FEATURES - Systems, apparatus and methods are described including generating gradient images from an input image, where the gradient images include gradient images created using 2D filter kernels. Feature descriptors are then generated from the gradient images and object detection performed by applying the descriptors to a boosting cascade classifier that includes logistic regression base classifiers. | 10-17-2013 |
20130276007 | Facilitating Television Based Interaction with Social Networking Tools - Video analysis may be used to determine who is watching television and their level of interest in the current programming. Lists of favorite programs may be derived for each of a plurality of viewers of programming on the same television receiver. | 10-17-2013 |
20130308855 | Smile Detection Techniques - Techniques are disclosed that involve the detection of smiles from images. Such techniques may employ local-binary pattern (LBP) features and/or multi-layer perceptrons (MLP) based classifiers. Such techniques can be extensively used on various devices, including (but not limited to) camera phones, digital cameras, gaming devices, personal computing platforms, and other embedded camera devices. | 11-21-2013 |
20130342640 | OBJECT OF INTEREST BASED IMAGE PROCESSING - An apparatus, a method and a system are provided, wherein the system includes an encoding engine to encode and/or compress one or more objects of interest within individual image frames with higher bit densities than the bit density employed to encode and/or compress their background. The system may further include a context engine to identify a region of interest including at least a part of the one or more objects of interest, and scale the region of interest within individual image frames to emphasize the objects of interest. | 12-26-2013 |
20140003662 | REDUCED IMAGE QUALITY FOR VIDEO DATA BACKGROUND REGIONS | 01-02-2014 |
20140003663 | METHOD OF DETECTING FACIAL ATTRIBUTES | 01-02-2014 |
20140026157 | FACE RECOGNITION CONTROL AND SOCIAL NETWORKING - Methods, apparatuses, and articles associated with face recognition login, social network and video chat are disclosed herein. In various embodiments, an apparatus may include a networking interface, and a face recognition based controller configured to determine whether a user is watching a television, based on image frames of a video signal generated by a camera. The controller may be further configured to transmit a login request, via the network interface, to a server associated with a social network, on determination that the user is watching the television, to log the user into the social network, and enabling video chat. Other embodiments may be disclosed and/or claimed. | 01-23-2014 |
20140033239 | NEXT GENERATION TELEVISION WITH CONTENT SHIFTING AND INTERACTIVE SELECTABILITY - Systems and methods for providing next generation television with content shifting and interactive selectability are described. In some examples, image content may be transferred from a television to smaller mobile computing device, and an example-based. visual search may be conducted on a selected portion of the content. Search results may then be provided to the mobile computing, device. In addition, avatar simulation may be undertaken. | 01-30-2014 |
20140050358 | METHOD OF FACIAL LANDMARK DETECTION - Detecting facial landmarks in a face detected in an image may be performed by first cropping a face rectangle region of the detected face in the image and generating an integral image based at least in part on the face rectangle region. Next, a cascade classifier may be executed for each facial landmark of the face rectangle region to produce one response image for each facial landmark based at least in part on the integral image. A plurality of Active Shape Model (ASM) initializations may be set up. ASM searching may be performed for each of the ASM initializations based at least in part on the response images, each ASM search resulting in a search result having a cost. Finally, a search result of the ASM searches having a lowest cost function may be selected, the selected search result indicating locations of the facial landmarks in the image. | 02-20-2014 |
20140072172 | TECHNIQUES FOR FACE DETECETION AND TRACKING - Techniques are disclosed that involve face detection. For instance, face detection tasks may be decomposed into sets of one or more sub-tasks. In turn the sub-tasks of the sets may be allocated across multiple image frames. This allocation may be based on a multiple layer, quad-tree approach. In addition, face tracking tasks may be performed. | 03-13-2014 |
20140147035 | HAND GESTURE RECOGNITION SYSTEM - A cost-effective and computationally efficient hand gesture recognition system for detecting and/or tracking a face region and/or a hand region in a series of images. A skin segmentation model is updated with skin pixel information from the face and iteratively applied to the pixels in the hand region, to more accurately identify the pixels in the hand region given current lighting conditions around the image. Shape features are then extracted from the image, and based on the shape features, a hand gesture is identified in the image. The identified hand gesture may be used to generate a command signal to control the operation of an application or system. | 05-29-2014 |
20140156398 | PERSONALIZED ADVERTISEMENT SELECTION SYSTEM AND METHOD - A system and method for selecting an advertisement to present to a consumer includes detecting facial regions in the image, identifying one or more consumer characteristics (mood, gender, age, etc.) of said consumer in the image, identifying one or more advertisements to present to the consumer based on a comparison of the consumer characteristics with an advertisement database including a plurality of advertisement profiles, and presenting a selected one of the identified advertisement to the consumer on a media device. | 06-05-2014 |
20140198121 | SYSTEM AND METHOD FOR AVATAR GENERATION, RENDERING AND ANIMATION - A video communication system that replaces actual live images of the participating users with animated avatars. The system allows generation, rendering and animation of a two-dimensional (2-D) avatar of a user's face. The 2-D avatar represents a user's basic face shape and key facial characteristics, including, but not limited to, position and shape of the eyes, nose, mouth, and face contour. The system further allows adaptive rendering for displaying allow different scales of the 2-D avatar to be displayed on associated different sized displays of user devices. | 07-17-2014 |
20140223474 | INTERACTIVE MEDIA SYSTEMS - Generally this disclosure describes interactive media methods and systems. A method may include capturing an image, detecting at least one face in the image, determining an identity and expression corresponding to the at least one face, generating an icon for the at least one face based on the corresponding expression, and displaying the icon on a video monitor. | 08-07-2014 |
20140241574 | TRACKING AND RECOGNITION OF FACES USING SELECTED REGION CLASSIFICATION - Methods, apparatuses, and articles associated with facial tracking and recognition are disclosed. In embodiments, facial images may be detected in video or still images and tracked. After normalization of the facial images, feature data may be extracted from selected regions of the faces to compare to associated feature data in known faces. The selected regions may be determined using a boosting machine learning processes over a set of known images. After extraction, individual two-class comparisons may be performed between corresponding feature data from regions on the tested facial images and from the known facial image. The individual two-class classifications may then be combined to determine a similarity score for the tested face and the known face. If the similarity score exceeds a threshold, an identification of the known face may be output or otherwise used. Additionally, tracking with voting may be performed on faces detected in video. After a threshold of votes is reached, a given tracked face may be associated with a known face. | 08-28-2014 |
20140348434 | ACCELERATED OBJECT DETECTION FILTER USING A VIDEO MOTION ESTIMATION MODULE - Systems, apparatus and methods are described related to accelerated object detection filter using a video estimation module. | 11-27-2014 |
20140369608 | IMAGE PROCESSING INCLUDING ADJOIN FEATURE BASED OBJECT DETECTION, AND/OR BILATERAL SYMMETRIC OBJECT SEGMENTATION - Apparatuses, methods and storage medium associated with processing an image are disclosed herein. In embodiments, a method for processing one or more images may include generating a plurality of pairs of keypoint features for a pair of images. Each pair of keypoint features may include a keypoint feature from each image. Further, for each pair of keypoint features, corresponding adjoin features may be generated. Additionally, for each pair of keypoint features, whether the adjoin features are similar may be determined. Whether the pair of images have at least one similar object may also be determined, based at least in part on a result of the determination of similarity between the corresponding adjoin features. Other embodiments may be described and claimed. | 12-18-2014 |
20150049079 | TECHNIQUES FOR THREEDIMENSIONAL IMAGE EDITING - Techniques for three-dimensional (3D) image editing are described. In one embodiment, for example, an apparatus may comprise a processor circuit and a 3D graphics management module, and the 3D graphics management module may be operable by the processor circuit to determine modification information for a first sub-image in a 3D image comprising the first sub-image and a second sub-image, modify the first sub-image based on the modification information for the first sub-image, determine modification information for the second sub-image based on the modification information for the first sub-image, and modify the second sub-image based on the modification information for the second sub-image. Other embodiments are described and claimed. | 02-19-2015 |
20150146915 | HARDWARE CONVOLUTION PRE-FILTER TO ACCELERATE OBJECT DETECTION - Systems, apparatus, articles, and methods are described related to a hardware-based convolution pre-filter to accelerate object detection. | 05-28-2015 |
20150348266 | Techniques for Rapid Stereo Reconstruction from Images - Stereo image reconstruction techniques are described. An image from a root viewpoint is translated to an image from another viewpoint. Homography fitting is used to translate the image between viewpoints. Inverse compositional image alignment is used to determine a homography matrix and determine a pixel in the translated image. | 12-03-2015 |
Patent application number | Description | Published |
20110164650 | ELECTROMAGNETIC INDUCTION MELTING FURNACE TO CONTROL AN AVERAGE NOMINAL DIAMETER OF THE TIB2 CLUSTER OF THE AL-TI-B ALLOY - An electromagnetic induction melting furnace to control an average nominal diameter of the TiB | 07-07-2011 |
20110192253 | METHOD FOR PURIFYING AL-TI-B ALLOY MELT - A method for purifying Al-Ti-B) alloy melt includes putting and melting industrial aluminum ingot in an electromagnetic induction smelting furnace, the melt of Al being covered by a high-temperature covering agent, and its temperature up to at about 670˜90° C.; adding material of K | 08-11-2011 |
20110192503 | METHOD FOR CONTROLLING VARIATIONS OF AL-TI-C ALLOY GRAIN REFINEMENT ABILITY THROUGH CONTROLLING COMPRESSION RATIO - A method for controlling variations of Al—Ti—C alloy crystal grain refinement ability through controlling a compression ratio of sectional area of Al—Ti—C alloy including: A. establishing a relationship between variations of refinement ability of Al—Ti—C alloy crystal grain and parameters of press process of the Al—Ti—C alloy; setting the parameters of press process and controlling the variation of the refinement ability of the Al—Ti—C alloy crystal grain through controlling a value of the compression ratio. | 08-11-2011 |
20110194584 | ELECTROMAGNETIC INDUCTION MELTING FURNACE TO CONTROL AN AVERAGE NOMINAL DIAMETER OF THE TIC CLUSTER OF THE AL-TI-C ALLOY - An electromagnetic induction melting furnace to control an average nominal diameter of the TiC cluster of the Al—Ti—C alloy includes a main body containing the melted alloy; and a multi-layer coil disposed on the main body, wherein a frequency of the alternative current of each coil of the multi-layer coil is different, and the alloy is heated by inducing a magnetic field generated by the alternative currents. The selection of the frequency and the changeable magnetic field may reduce the cohesion force between the TiC grains of the Al—Ti—C alloy to control the average nominal diameter of the TiC cluster. | 08-11-2011 |
20110308758 | METHOD FOR PRODUCING ALUMINUM-ZIRCONIUM-CARBON INTERMEDIATE ALLOY - The present invention discloses a method for producing an aluminum-zirconium-carbon (Al—Zr—C) intermediate alloy; the Al—Zr—C intermediate alloy has a chemical composition of 0.01% to 10% Zr, 0.01% to 0.3% C, and Al in balance; the producing method comprising the steps of: producing commercially pure aluminum, zirconium metal, and graphite material according to the weight percentages of the aluminum-zirconium-carbon intermediate alloy; the graphite is graphite powder having an average particle size of 0.074 mm to 1 mm; and the graphite powder is subjected to the following treatments: being added to the aqueous solution of KF, NaF, K2ZrF6, K2TiF6 or the combination thereof, soaked for 12 to 72 hours, filtrated or centrifuged, and dried at 80° C. to 200° C. for 12 to 24 hours; melting the commercially pure aluminum and keeping it at 700° C. to 900° C. to provide aluminum liquid, in which the prepared zirconium and the treated graphite powder are added and melted to provide an alloy solution; and keeping the alloys solution at 700° C. to 900° C. under mechanical or electromagnetic agitation and performing casting molding. The present method produces a high-quality Al—Zr—C intermediate alloy in low cost. | 12-22-2011 |
20120037332 | USE OF ALUMINUM-ZIRCONIUM-TITANIUM-CARBON INTERMEDIATE ALLOY IN WROUGHT PROCESSING OF MAGNESIUM AND MAGNESIUM ALLOYS - The present invention relates to the field of magnesium and magnesium alloy processing, and discloses the use of aluminum-zirconium-titanium-carbon (Al—Zr—Ti—C) intermediate alloy in wrought processing of magnesium and magnesium alloys, wherein the aluminum-zirconium-titanium-carbon intermediate alloy has a chemical composition of: 0.01% to 10% Zr, 0.01% to 10% Ti, 0.01% to 0.3% C, and Al in balance, based on weight percentage; the wrought processing is plastic molding; and the use is to refine the grains of magnesium or magnesium alloys. The present invention further discloses the method for using the aluminum-zirconium-titanium-carbon (Al—Zr—Ti—C) intermediate alloy in casting and rolling magnesium and magnesium alloys. The present invention provides an aluminum-zirconium-titanium-carbon (Al—Zr—Ti—C) intermediate alloy and the use thereof in the plastic wrought processing of magnesium or magnesium alloys as a grain refiner. The aluminum-zirconium-titanium-carbon intermediate alloy has the advantages of great ability in nucleation and good grain refining effect, and achieves the continuous and large-scale production of wrought magnesium and magnesium alloy materials. | 02-16-2012 |
20120037333 | METHOD FOR PREPARING ALUMINUM-ZIRCONIUM-TITANIUM-CARBON INTERMEDIATE ALLOY - The present invention discloses a method for producing an aluminum-zirconium-titanium-carbon (Al—Zr—Ti—C) intermediate alloy; the Al—Zr—Ti—C intermediate alloy comprises 0.01% to 10% Zr, 0.01% to 10% Ti, 0.01% to 0.3% C, and Al in balance; the producing method comprising the steps of: preparing commercially pure aluminum, zirconium, titanium, and graphite material according to the weight percentages of the aluminum-zirconium-titanium-carbon intermediate alloy; the graphite powder is subjected to the following treatments: being added to the aqueous solution of KF, NaF, K | 02-16-2012 |
20120039745 | GRAIN REFINER FOR MAGNESIUM AND MAGNESIUM ALLOYS AND METHOD FOR PRODUCING THE SAME - The present invention pertains to the field of metal alloy, and relates a grain refiner for magnesium and magnesium alloys, which is an aluminum-zirconium-carbon (Al—Zr—C) intermediate alloy, having a chemical composition of: 0.01%˜10% Zr, 0.01%˜0.3% C, and Al in balance, based on weight percentage. Also, the present invention discloses the method for preparing the grain refiner. The grain refiner according to the present invention is an intermediate alloy having great nucleation ability and in turn excellent grain refining performance for magnesium and magnesium alloys, and is industrially applicable in the casting and rolling of magnesium and magnesium alloy profiles, enabling the wide use of magnesium in industries. | 02-16-2012 |
20120039746 | ALUMINUM-ZIRCONIUM-TITANIUM-CARBON GRAIN REFINER FOR MAGNESIUM AND MAGNESIUM ALLOYS AND METHOD FOR PRODUCING THE SAME - The present invention pertains to the field of metal alloy, and discloses an aluminum-zirconium-titanium-carbon grain refiner for magnesium and magnesium alloys, having a chemical composition of: 0.01%˜10% Zr, 0.01%˜10% Ti, 0.01%˜0.3% C, and Al in balance, based on weight percentage. Also, the present invention discloses the method for preparing the grain refiner. The grain refiner according to the present invention is an Al—Zr—Ti—C intermediate alloy having great nucleation ability and in turn excellent grain refining performance for magnesium and magnesium alloys, and is industrially applicable in the casting and rolling of magnesium and magnesium alloy profiles, enabling the wide use of magnesium in industries. | 02-16-2012 |
20120039791 | POTASSIUM FLUOTITANATE MANUFACTURE AND DEVICE BACKGROUND - The invention provides a Potassium Fluotitanate (K | 02-16-2012 |
20120043050 | USE OF ALUMINUM-ZIRCONIUM-CARBON INTERMEDIATE ALLOY IN WROUGHT PROCESSING OF MAGNESIUM AND MAGNESIUM ALLOYS - The present invention relates to the field of magnesium and magnesium alloy processing, and discloses a use of aluminum-zirconium-carbon (Al—Zr—C) intermediate alloy in wrought processing of magnesium and magnesium alloys, wherein the aluminum-zirconium-carbon intermediate alloy has a chemical composition of: 0.01% to 10% Zr, 0.01% to 0.3% C, and Al in balance, based on weight percentage; the wrought processing is plastic molding; and the use is to refine the grains of magnesium or magnesium alloys. The present invention further discloses the method for using the aluminum-zirconium-carbon (Al—Zr—C) intermediate alloy in casting and rolling magnesium and magnesium alloys. The present invention provides an aluminum-zirconium-carbon (Al—Zr—C) intermediate alloy and the use thereof in the plastic wrought processing of magnesium or magnesium alloys as a grain refiner. The aluminum-zirconium-carbon intermediate alloy has the advantages of great ability in nucleation and good grain refining effect, and achieves the continuous and large-scale production of wrought magnesium and magnesium alloy materials. | 02-23-2012 |
20120118525 | METHOD FOR CONTINUIOUS AND EFFICIENT CASTING ROLL OF MAGNESIUM ALLOY PLATE - A method for continuous and efficient casting roll of magnesium alloy plates including providing plural induction furnaces, resistance furnace, casting roll and rollers; adding metal elements into the induction furnaces, the metal elements comprising Mg ingots or Mg alloy, the metal elements being smelted in the induction furnaces and then flow into the resistance furnace; controlling temperature of the Mg melt in the resistance furnace, wherein there are at least two temperature controlling areas communicated with each other, and a difference of temperatures is constant; transferring the Mg melt into biting area through a transferring pipe and modeling the mg melt into Mg plate, the temperature of the Mg melt into the biting area being 690±10° C.; Rolling the Mg plate in the rollers and each band of the rollers having a working temperature 250˜350° C., and the difference of temperature is ±10° C. | 05-17-2012 |
Patent application number | Description | Published |
20130132442 | ONTOLOGY CONSTRUCTION - Disclosed are methods in which ontologies are automatically (i.e., with little or no human interaction) constructed from data. The constructed ontology may be provided for use by an application or device. An ontology may be constructed as follows. Firstly, a lexical graph is constructed. Secondly, a concept-detection process is performed on the lexical graph to detect concepts (prominent terms) in the lexical graph. Thirdly, a clustering method is performed on the lexical graph to form groups of concepts. Fourthly, relationships between the concepts are determined based on the interconnections of the concepts in the groups. Lastly, the concepts and detected relationships therebetween are structured using a formal ontology specification. | 05-23-2013 |
20130166494 | HIERARCHICAL BEHAVIORAL PROFILE - In a hierarchical profile, each node represents at least one feature of behavioral data collected about an entity profiled, with the topmost node selected as the “statistically most informative” feature of the data. A profile can cover numerous domains and be predictively very powerful in each domain. A number of observations can be “aggregated” together into a single datapoint. In use, the structure of the profile is compared against current information associated with the entity to produce a recommendation or prediction. If the profile represents at least some data aggregation, then new observations are folded into the profile based on statistical weights of the aggregations. Because of the way the profile is created and updated, its hierarchical structure maps the collected observations. Therefore, as new observations are incorporated, if the new observations change the profile's structure significantly, then it can be hypothesized that something “interesting” has happened to the entity. | 06-27-2013 |
20130166605 | HIERARCHICAL BEHAVIORAL PROFILE - In a hierarchical profile, each node represents at least one feature of behavioral data collected about an entity profiled, with the topmost node selected as the “statistically most informative” feature of the data. A profile can cover numerous domains and be predictively very powerful in each domain. A number of observations can be “aggregated” together into a single datapoint. In use, the structure of the profile is compared against current information associated with the entity to produce a recommendation or prediction. If the profile represents at least some data aggregation, then new observations are folded into the profile based on statistical weights of the aggregations. Because of the way the profile is created and updated, its hierarchical structure maps the collected observations. Therefore, as new observations are incorporated, if the new observations change the profile's structure significantly, then it can be hypothesized that something “interesting” has happened to the entity. | 06-27-2013 |
20130166609 | HIERARCHICAL BEHAVIORAL PROFILE - In a hierarchical profile, each node represents at least one feature of behavioral data collected about an entity profiled, with the topmost node selected as the “statistically most informative” feature of the data. A profile can cover numerous domains and be predictively very powerful in each domain. A number of observations can be “aggregated” together into a single datapoint. In use, the structure of the profile is compared against current information associated with the entity to produce a recommendation or prediction. If the profile represents at least some data aggregation, then new observations are folded into the profile based on statistical weights of the aggregations. Because of the way the profile is created and updated, its hierarchical structure maps the collected observations. Therefore, as new observations are incorporated, if the new observations change the profile's structure significantly, then it can be hypothesized that something “interesting” has happened to the entity. | 06-27-2013 |
20130179149 | COMMUNICATION PROCESSING - Disclosed are methods and apparatus for processing linguistic expressions (e.g., opinionated text documents). The linguistic expressions are processed by, firstly, detecting topics of interest discussed in the linguistic expressions. The sentiment, or sentiments, of an originator with respect to each of the topics detected in the linguistic expressions is then assessed. The originators are then grouped (or clustered) into one or more groups based on the similarities between the originators' respective sets of detected topics and corresponding sentiments. Semantic information is then associated with a given group. Finally, for a given member of a given group, a profile is created or updated. This profile comprises attributes that may be based on a degree of membership of the given member to the given group and the semantic information associated with the given group. | 07-11-2013 |
20130254140 | METHOD AND SYSTEM FOR ASSESSING AND UPDATING USER-PREFERENCE INFORMATION - Disclosed are a variety of methods and systems for processing access-only user-behavior data and developing and using user-preference models. In one example embodiment, a method for ascribing a score to a first portion of preference data includes establishing a model of user-preference data and receiving the first portion of preference data at a first computerized device and storing that data. The method further includes calculating at least one statistic in relation to the first portion of the preference data by way of a processing device of either the first computerized device or a second computerized device and performing at least one additional operation, by way of either the processing device or another processing device, by which the at least one statistic is evaluated in relation to the model, whereby as a result of being evaluated, the at least one statistic is converted into the score. | 09-26-2013 |
20140161322 | SYSTEM AND METHOD FOR ACTIVITY RECOGNITION - A method for automatic recognition of human activity is provided and includes the steps of decomposing human activity into a plurality of fundamental component attributes needed to perform an activity and defining ontologies of fundamental component attributes from the plurality of the fundamental component attributes identified during the decomposing step for each of a plurality of different targeted activities. The method also includes the steps of converting a data stream captured during a performance of an activity performed by a human into a sequence of fundamental component attributes and classifying the performed activity as one of the plurality of different targeted activities based on a closest match of the sequence of fundamental component attributes obtained during the converting step to at least a part of one of the ontologies of fundamental component attributes defined during the defining step. A system for performing the method is also disclosed. | 06-12-2014 |
20140200906 | DISPLAYING A STATISTICALLY SIGNIFICANT RELATION - The present disclosure teaches techniques for aggregating observations across multiple sensor-data streams and for presenting the results to users in meaningful ways. Available data are analyzed using a variety of statistical techniques. Significant correlations are presented to users to help them to identify any underlying informative patterns. The presented results help people gain insight into their habits as those habits affect their health and wellness. Users can then make informed decisions about their health, wellness, and environment. | 07-17-2014 |
20140266782 | CONTEXT HEALTH DETERMINATION SYSTEM - Systems, methods, and devices for determining contexts and determining associated health profiles using information received from multiple health sensor enabled electronic devices, are disclosed. Contexts can be defined by a description of spatial and/or temporal components. Such contexts can be arbitrarily defined using semantically meaningful and absolute descriptions of time and location. Health sensor data is associated with or includes context data that describes the circumstances under which the data was determined. The health sensor data can include health sensor readings that are implicit indications of health for the context. The sensor data can also include user reported data with explicit descriptions of health for the context. The health sensor data can be filtered by context data according a selected context. The filtered sensor data can then be analyzed to determine a health profile for the context that can be output to one or more users or entities. | 09-18-2014 |
20140280138 | CONTEXT DEMOGRAPHIC DETERMINATION SYSTEM - Systems, methods, and devices for determining contexts and determining associated demographic profiles using information received from multiple demographic sensor enabled electronic devices, are disclosed. Contexts can be defined by a description of spatial and/or temporal components. Such contexts can be arbitrarily defined using semantically meaningful and absolute descriptions of time and location. Demographic sensor data is associated with or includes context data that describes the circumstances under which the data was determined. The demographic sensor data can include demographic sensor readings that are implicit indications of a demographic for the context. The sensor data can also include user reported data with explicit descriptions of a demographic for the context. The demographic sensor data can be filtered by context data according a selected context. The filtered sensor data can then be analyzed to determine a demographic profile for the context that can be output to one or more users or entities. | 09-18-2014 |
20140280529 | CONTEXT EMOTION DETERMINATION SYSTEM - Systems, methods, and devices for determining contexts and determining associated emotion profiles using information received from multiple emotion sensor enabled electronic devices, are disclosed. Contexts can be defined by a description of spatial and/or temporal components. Such contexts can be arbitrarily defined using semantically meaningful and absolute descriptions of times and locations. Emotion sensor data is associated with or includes context data that describes the circumstances under which the data was determined. The emotion sensor data can include emotion sensor readings that are implicit indications of an emotion for the context. The sensor data can also include user reported data with explicit descriptors of an emotion for the context. The emotion sensor data can be filtered by context data according a selected context. The filtered sensor data can then be analyzed to determine an emotion profile for the context that can be output to one or more users or entities. | 09-18-2014 |
20150032682 | Efficient Prediction - Disclosed are a system and method for constructing and using a predictive model to generate a prediction signal, also referred to as a classification signal when the signal indicates one of a plurality of distinct classes. In various embodiments, the disclosed technique reduces a size of a predictive Support Vector Model by extracting certain values beforehand and storing only weighting values. The technique does not sacrifice generalization performance but does significantly reduce the model size and accelerate prediction performance. The described system applies to most kernel functions, whether linear or nonlinear. | 01-29-2015 |
20150317565 | DRAWING AN INFERENCE USING MULTIPLE SENSORS - Disclosed are techniques ( | 11-05-2015 |