Generating A Standard By Statistical Analysis Patents (Class 382/160)
  • Patent number: 10311015
    Abstract: A distributed big data device in a process plant includes an embedded big data appliance configured to locally stream and store, as big data, data that is generated, received, or observed by the device, and to perform one or more learning analyzes on at least a portion of the stored data. The embedded big data appliance generates or creates learned knowledge based on a result of the learning analysis, which the device may use to modify its operation to control a process in real-time in the process plant, and/or which the device may transmit to other devices in the process plant. The distributed big data device may be a field device, a controller, an input/output device, or other process plant device, and may utilize learned knowledge created by other devices when performing its learning analysis.
    Type: Grant
    Filed: March 14, 2014
    Date of Patent: June 4, 2019
    Assignee: FISHER-ROSEMOUNT SYSTEMS, INC.
    Inventors: Mark J. Nixon, Paul Richard Muston, Terrence L. Blevins, Wilhelm K. Wojsznis
  • Patent number: 10299864
    Abstract: A surgical assistive device, which handles co-localization of an internal organ of interest and a neighboring organ based on images obtained during surgery, selects a test video frame from a sequence of video frames and generates first localization likelihood values and second localization likelihood values for the internal organ of interest and the neighboring organ, respectively. The surgical assistive device determines extent of anatomical adjacency boundary between the internal organ of interest and the neighboring organ, based on the first localization likelihood values and the second localization likelihood values. The surgical assistive device segments the test video frame into a plurality of regions and generates a first region based on integration of a first set of regions from the plurality of regions. The surgical assistive device further localizes the internal organ of interest based on first region, in accordance with the extent of anatomical adjacency boundary.
    Type: Grant
    Filed: August 7, 2018
    Date of Patent: May 28, 2019
    Assignee: SONY CORPORATION
    Inventor: Liangyin Yu
  • Patent number: 10290123
    Abstract: The invention is a method for the segmentation of an object's image obtained by three-dimensional reconstruction. Based on an object's image represented by a finite number of intensity levels, the image is reconstructed based on projections acquired from different angles around the object, a distribution representative of the spread of the intensity levels in the image along a predetermined direction is determined, for at least one angle. Next, at least one intensity threshold is determined by minimizing an objective function estimating the difference between the actual measurement and a simulated measurement for the angle being considered with the simulated measurement being dependent on the threshold and the distribution. Next, the image is segmented by grouping the intensity levels into at least two classes defined by the threshold. The invention has a particular application to characterization of supports of catalysts for petrochemical refining.
    Type: Grant
    Filed: January 26, 2016
    Date of Patent: May 14, 2019
    Assignee: IFP ENERGIES NOUVELLES
    Inventors: Maxime Moreaud, Francois Wahl
  • Patent number: 10268927
    Abstract: A server for configuring an industrial vision control module includes: a memory; a network interface; and a processor interconnected with the memory and the network interface, the processor configured to: receive, via the network interface, image data from a vision system; determine at least one attribute of the image data; store at least one label in association with the at least one attribute; and transmit the at least one attribute and the at least one label to the vision system.
    Type: Grant
    Filed: October 14, 2015
    Date of Patent: April 23, 2019
    Assignee: EIGEN INNOVATIONS INC.
    Inventors: Scott Everett, Richard Jones
  • Patent number: 10127635
    Abstract: A method and device for image noise estimation and image capture apparatus are provided. In the device, a global noise estimation unit is configured to determine a plurality of current sample blocks of a current image frame and a plurality of previous sample blocks of a previous image frame, and calculate a block feature of each of the current sample blocks, and calculate a block sum-of-absolute-difference (SAD) between each of the current sample blocks and corresponding one of the previous sample blocks, and cluster the current sample blocks into a plurality of segments according to the block features, and respectively establish a plurality of noise models for the segments according to the block features and the block SAD. A local noise calculation unit is configured to calculate noise level information of a local image block of the current image frame according to a corresponding noise model of the noise models.
    Type: Grant
    Filed: August 1, 2016
    Date of Patent: November 13, 2018
    Assignee: Novatek Microelectronics Corp.
    Inventor: Shih-Ta Wu
  • Patent number: 9928428
    Abstract: An apparatus for diagnosing a failure of recognition logic, which recognizes a target in an image obtained by a vehicle, including: an image frame including coordinates of a reference characteristic point of a set target; a camera sensor photographing a front side of the vehicle and outputting an image of the front side; a recognition logic unit calculating coordinates of a characteristic point in the image frame and outputting coordinates of a recognized characteristic point; an image frame compulsory input unit applying the image frame to the recognition logic unit at a predetermined period instead of the image of the front side of the vehicle; and a normal operation determining unit determining whether the recognition logic unit is normally operated according to whether the coordinates of the reference characteristic point are matched with the coordinates of the recognized characteristic point during the compulsory input of the image frame.
    Type: Grant
    Filed: March 22, 2016
    Date of Patent: March 27, 2018
    Assignee: HYUNDAI MOBIS CO., LTD.
    Inventor: Hyuk Lee
  • Patent number: 9798929
    Abstract: A hybrid estimator system using visual and inertial sensors for real-time pose tracking on devices with limited processing power using at least one processor, a memory, a storage and communications through a protocol and one or more than one software module for a hybrid estimator, real-time algorithm selection to process different measurements, statistical learning for these characteristics to compute the expected device computing cost of any strategy for allocating measurements to algorithms, and algorithm selection based on the statistical learning module.
    Type: Grant
    Filed: June 10, 2016
    Date of Patent: October 24, 2017
    Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
    Inventors: Mingyang Li, Anastasios Mourikis
  • Patent number: 9798943
    Abstract: The optical character recognition method applies a first OCR engine to provide an identification of characters of at least a first type of characters and zones of at least a second type of characters in the character string image. A second OCR engine is applied on the zones of the at least second type of characters to provide an identification of characters of a second type of characters. The characters identified by the first OCR engine and by the second OCR engine are in a further step combined to obtain the identification of the characters of the character string image.
    Type: Grant
    Filed: June 9, 2014
    Date of Patent: October 24, 2017
    Assignee: I.R.I.S.
    Inventors: Frederic Collet, Jordi Hautot, Michel Dauw, Pierre De Muelenaere, Olivier Dupont, Gunter Hensges
  • Patent number: 9754189
    Abstract: A detection device includes an image acquisition section that acquires an image that has been captured by an imaging section, and includes an image of an object, a distance information acquisition section that acquires distance information about the distance from the imaging section to the object, a feature quantity calculation section that calculates a feature quantity from the image, a learning feature quantity storage section that stores a learning feature quantity calculated by a learning process corresponding to each of a plurality of distance ranges that are set corresponding to the distance from the imaging section to the object, and a detection section that determines a distance range that corresponds to the feature quantity based on the distance information, and detects the target area based on the learning feature quantity that corresponds to the determined distance range, and the feature quantity calculated by the feature quantity calculation section.
    Type: Grant
    Filed: October 9, 2015
    Date of Patent: September 5, 2017
    Assignee: OLYMPUS CORPORATION
    Inventor: Masanori Mitsui
  • Patent number: 9619702
    Abstract: A handwriting recognition system converts word images on documents, such as document images of historical records, into computer searchable text. Word images (snippets) on the document are located, and have multiple word features identified. For each word image, a word feature vector is created representing multiple word features. Based on the similarity of word features (e.g., the distance between feature vectors), similar words are grouped together in clusters, and a centroid that has features most representative of words in the cluster is selected. A digitized text word is selected for each cluster based on review of a centroid in the cluster, and is assigned to all words in that cluster and is used as computer searchable text for those word images where they appear in documents. An analyst may review clusters to permit refinement of the parameters used for grouping words in clusters, including the adjustment of weights and other factors used for determining the distance between feature vectors.
    Type: Grant
    Filed: August 31, 2015
    Date of Patent: April 11, 2017
    Assignee: Ancestry.com Operations Inc.
    Inventors: Jack Reese, Michael Murdock, Shawn Reid, Laryn Brown
  • Patent number: 9582715
    Abstract: Application of inter-class and intra-class filtering, based on aggregate point-to-point distances, to vector data for purposes of filtering the vector data for purposes of pattern recognition. In some embodiments: (i) the inter-class filtering is based on Euclidean distance, in all dimensions, between vector data points in vector space; and/or (ii) the intra-class filtering is based on a distance, in all dimensions, between vector data points in vector space.
    Type: Grant
    Filed: June 30, 2015
    Date of Patent: February 28, 2017
    Assignee: International Business Machines Corporation
    Inventors: Saritha Arunkumar, Su Yang
  • Patent number: 9552222
    Abstract: For experience-based dynamic sequencing of a set of process options, a first process option is executed at a first stage in a first sequence for a first set of members. The sequence includes several stages of executing a subset of the process options. An experience value is determined corresponding to executing the first process option. The experience value is normalized to calculate a normalized experience value corresponding to the first process option. Using the normalized experience value in a later stage from the plurality of stages, an evaluation is made whether a first trigger threshold is satisfied in a first activation function of a second process choice. When the first trigger threshold of the first activation function being satisfied, the second process choice is included in the first sequence at the later stage.
    Type: Grant
    Filed: June 4, 2015
    Date of Patent: January 24, 2017
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Aaron K. Baughman, Barry M. Graham, James R. Kozloski
  • Patent number: 9495702
    Abstract: A method, system, and computer program product for updating an auction monitor display with highlighting or emphasis in the form of graphic data change indicators. The method commences by capturing a first set of auction variables, the auction variables pertaining to an ecommerce auction involving a plurality of auction participants in the ecommerce auction. Then, for ongoing real-time display, the method introduces a delay of a variable duration of time, the variable duration of time based on the length of time before the end of the auction. At various points within each delay period, the method captures a second set of auction variables which are compared to the first set of auction variables to identify a candidate set of changed auction variables for emphasis. The determination of the manner of emphasis is based on the changed auction variable and characteristics of the type of change of the changed auction variable.
    Type: Grant
    Filed: September 20, 2011
    Date of Patent: November 15, 2016
    Assignee: ORACLE INTERNATIONAL CORPORATION
    Inventors: Manish Srivastava, German Bertot, Matthew Sherman, Ramesh Kumar Reddy Jooturu Chinna, Gyanesh Hari Dwivedi, John Zhou
  • Patent number: 9477909
    Abstract: An object investigation and classification system may include an object test system, a data storage system, and a data processing system. The object test system may receive a command to perform at least one action with a test object, perform the at least one action with the test object, and return test information indicative of at least one percept resulting from the at least one action. The data storage system may contain an experience database containing data indicative of multiple classifications and, for each classification, at least one action that was performed with at least one previously-observed reference object having this classification, and at least one percept value that is based in whole or in part on the test information resulting from the at least one action.
    Type: Grant
    Filed: January 9, 2014
    Date of Patent: October 25, 2016
    Assignee: SYNTOUCH, LLC
    Inventors: Jeremy A. Fishel, Gerald E. Loeb
  • Patent number: 9183636
    Abstract: A line segmentation method which starts with determining a first starting point coordinate and generating a list of potential character widths dependent on a maximum character width stored in a database and on characteristics of the portion of the line of text corresponding to the maximum character width. The method determines a second portion of the line of text corresponding to the first starting point coordinate and the first width on the list of potential character widths. On the second portion, a classification method is applied providing a likelihood of error for the first width and a candidate character. The likelihood of error is compared with a first threshold determined by a trade-off between speed and accuracy, and if the likelihood of error corresponding to the first width is lower than the threshold value, the candidate character is selected as the character meaning that a segment is known.
    Type: Grant
    Filed: April 16, 2014
    Date of Patent: November 10, 2015
    Assignee: I.R.I.S.
    Inventors: Frederic Collet, Jordi Hautot, Michel Dauw, Pierre De Muelenaere, Olivier Dupont, Gunter Hensges
  • Patent number: 9098741
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for object detection are disclosed. Methods can include, for each of a plurality of locations in one or more positive images, image filters are identified, each image filter representing visual features of a location in a positive image (e.g., an image that includes a particular object). Positive location feature scores and negative location feature scores are determined for locations within images. A positive location feature score is based on a similarity between the image filter and feature values for a positive image. A negative location feature score is determined based on a similarity between the image filter and feature values for a negative image. A distinctive location is identified based on the positive and negative location feature scores, and distinguishing feature values for identifying the particular object are identified for the distinctive location.
    Type: Grant
    Filed: March 15, 2013
    Date of Patent: August 4, 2015
    Assignee: Google Inc.
    Inventors: Dragomir Anguelov, Alexander Toshkov Toshev, Deva K. Ramanan, Xiangxin Zhu
  • Patent number: 9053391
    Abstract: A method for classification of samples comprising providing a trained statistical model based upon a set of initial samples. Receiving a set of first samples and training a first statistical model base upon the first set of samples, where the first statistical model is of the same class as the trained statistical model. Receiving a set of second samples and training a second statistical model base upon the second set of samples, where the second statistical model is of the same class as the trained statistical model. The trained statistical model, the first statistical model, and the second statistical model, being independent of each other and collectively used to classify another sample.
    Type: Grant
    Filed: April 12, 2011
    Date of Patent: June 9, 2015
    Assignee: Sharp Laboratories of America, Inc.
    Inventors: Fan Wang, Xinyu Xu, Chang Yuan, Petrus J. L. van Beek
  • Patent number: 9041734
    Abstract: Image information displayed on an electronic device can be modified based at least in part upon a relative position of a user with respect to a device. Mapping, topological or other types of positional data can be used to render image content from a perspective that is consistent with a viewing angle for the current relative position of the user. As that viewing angle changes, as a result of movement of the user and/or the device, the content can be re-rendered or otherwise updated to display the image content from a perspective that reflects the change in viewing angle. Simulations of effects such as parallax and occlusions can be used with the change in perspective to provide a consistent user experience that provides a sense of three-dimensional content even when that content is rendered on a two-dimensional display. Lighting, shading and/or other effects can be used to enhance the experience.
    Type: Grant
    Filed: August 12, 2011
    Date of Patent: May 26, 2015
    Assignee: AMAZON TECHNOLOGIES, INC.
    Inventors: Howard D. Look, Leo B. Baldwin, Kenneth M. Karakotsios, Dennis Hodge, Isaac S. Noble, Volodymyr V. Ivanchenko, Jeffrey P. Bezos
  • Publication number: 20150117766
    Abstract: A method for feature transformation of a data set includes: receiving a data set including original feature samples with corresponding class labels; splitting the data set into a direction optimization set and a training set; using the direction optimization set to calculate an optimum transformation vector that maximizes inter-class separability and minimizes intra-class variance of the feature samples with respect to corresponding class labels; using the optimum transformation vector to transform the rest of the original feature samples of the data set to new feature samples with enhanced discriminative characteristics; and training a classifier using the new feature samples, wherein the method is performed by one or more processors.
    Type: Application
    Filed: August 13, 2014
    Publication date: April 30, 2015
    Inventors: Manasvi Tickoo, Devansh Arpit, Xiaodan Zhuang, Walter Andrews, Pradeep Natarajan
  • Publication number: 20150117767
    Abstract: The present invention discloses a method and apparatus of determining air quality. The method comprising: determining at least one key area; acquiring a reference clear image, a training image under poor air quality and corresponding actual air quality index in at least one location of the key area; and training an air quality model of the key area based on feature extracted from the reference clear image and the training image and based on the actual air quality index. With the method and apparatus of the invention, air quality can be determined based on image.
    Type: Application
    Filed: October 29, 2014
    Publication date: April 30, 2015
    Inventors: Min Gong, Yu Wang, Zhi H. Wang, Junchi Yan, Chao Zhang, Qian K. Zhao, Jun Zhu
  • Patent number: 9020248
    Abstract: Systems and methods for object detection by receiving an image; segmenting the image and identifying candidate bounding boxes which may contain an object; for each candidate bounding box, dividing the box into overlapped small patches, and extracting dense features from the patches; during a training phase, applying a learning process to learn one or more discriminative classification models to classify negative boxes and positive boxes; and during an operational phase, for a new box generated from the image, applying the learned classification model to classify whether the box contains an object.
    Type: Grant
    Filed: December 16, 2013
    Date of Patent: April 28, 2015
    Assignee: NEC Laboratories America, Inc.
    Inventors: Xiaoyu Wang, Ming Yang, Yuanqing Lin, Shenghuo Zhu
  • Patent number: 9020247
    Abstract: Methods and systems for automatic detection of landmarks in digital images and annotation of those images are disclosed. A method for detecting and annotating landmarks in digital images includes the steps of automatically assigning a tag descriptive of a landmark to one or more images in a plurality of text-associated digital images to generate a set of landmark-tagged images, learning an appearance model for the landmark from the set of landmark-tagged images, and detecting the landmark in a new digital image using the appearance model. The method can also include a step of annotating the new image with the tag descriptive of the landmark.
    Type: Grant
    Filed: February 5, 2013
    Date of Patent: April 28, 2015
    Assignee: Google Inc.
    Inventors: Hartwig Adam, Li Zhang
  • Patent number: 8965116
    Abstract: A computerized rating tool is described that assists a user in efficiently and consistently assigning expert ratings (i.e., labels) to a large collection of training images representing samples of a given product. The rating tool provides mechanisms for visualizing the training images in an intuitive and configurable fashion, including clustering and ordering the training images. In some embodiments, the rating tool provides an easy-to-use interface for exploring multiple types of defects represented in the data and efficiently assigning expert ratings. In other embodiments, the computer automatically assigns ratings (i.e., labels) to the individual clusters containing the large collection of digital images representing the samples.
    Type: Grant
    Filed: October 14, 2011
    Date of Patent: February 24, 2015
    Assignee: 3M Innovative Properties Company
    Inventors: Evan J. Ribnick, Kenneth G. Brittain, Gregory D. Kostuch, Catherine P. Tarnowski, Derek H. Justice, Guillermo Sapiro, Sammuel D. Herbert, David L. Hofeldt
  • Patent number: 8952977
    Abstract: An improved branch-and-bound process of interval arithmetic subdivision in furtherance of computation of rigorous error bounds on integrated digital scene information for two dimensional display is provided. More particularly, a first aspect of the subject process includes pseudo-randomly subdividing an interval domain comprising a set of interval variables in furtherance of ascertaining a characteristic contribution of the interval variables of said set of interval variables to an image space comprising at least a sub-pixel area. A further aspect, either alone or in combination with the first aspect contemplates pseudo-randomly discarding a select partitioning of interval variables of a set of interval variables of a geometric function from a computed solution of an interval arithmetic branch-and-bound process.
    Type: Grant
    Filed: February 14, 2007
    Date of Patent: February 10, 2015
    Assignee: Sunfish Studio, LLC
    Inventor: Nathan T. Hayes
  • Patent number: 8942469
    Abstract: A method for classifying a video regarding a subjective characteristic, the method comprising: measuring a plurality of basic features (11) per frame thus obtaining a plurality of basic features measurements; creating a plurality of second-level features by pooling (12) said basic features (11) measurements using a plurality of statistics of said basic features measurements in a determined period of time of footage; creating a plurality of video features by pooling (13) said plurality of second-level features using a plurality of statistics of said second level features along the duration of the video; choosing at least one video feature of said plurality of video features for classifying a video regarding a subjective characteristic.
    Type: Grant
    Filed: June 29, 2011
    Date of Patent: January 27, 2015
    Assignee: Telefonica, S.A.
    Inventors: Anush Moorty, Pere Obrador, Nuria Oliver Ramirez
  • Publication number: 20150023590
    Abstract: A method and a system for human action recognition are provided. In the method, a plurality of training data corresponding to a plurality of gestures are received and clustered into at least one group according to similarity between the training data, where the training data represent the gestures, and a corresponding relationship between the training data and the gestures may be one-to-one or many-to-one. An image sequence of human action is captured, and a data representing the human action to be identified is obtained there from. Then, a specific group having the highest similarity with the data to be identified is selected from the groups, and a ranking result of all the training data within the specific group is obtained through a rank classifier and the data to be identified. Finally, the human action is identified as the gesture represented by the first training data in the ranking result.
    Type: Application
    Filed: January 10, 2014
    Publication date: January 22, 2015
    Applicant: National Taiwan University of Science and Technology
    Inventors: Chin-Shyurng Fahn, Chang-Yi Kao
  • Patent number: 8938115
    Abstract: Systems and methods are disclosed for generating a probability density to estimate the probability that an event will occur in a region of interest. The methods input spatial event data comprising one or more events occurring in the region of interest along with auxiliary data related to the region of interest. The auxiliary data comprises non-event data having spatial resolution such that the probability density estimate for the region of interest is calculated based on a function of the auxiliary data and the event data. In particular, the auxiliary data is used to generate a penalty functional used in the calculation of the probability density estimate.
    Type: Grant
    Filed: November 29, 2011
    Date of Patent: January 20, 2015
    Assignee: The Regents of the University of California
    Inventors: Andrea L. Bertozzi, Laura M. Smith, Matthew S. Keegan, Todd Wittman, George O. Mohler
  • Patent number: 8917915
    Abstract: The present invention is to provide a head detecting method for detecting the head in an image correctly at high speed.
    Type: Grant
    Filed: May 12, 2011
    Date of Patent: December 23, 2014
    Assignee: NEC Solution Innovators, Ltd.
    Inventor: Kazuya Ueki
  • Patent number: 8917346
    Abstract: Estimating focus error in an image involves a training phase and an application phase. In the training phase, an optical system is represented by a point-spread function. An image sensor array is represented by one or more wavelength sensitivity functions, one or more noise functions, and one or more spatial sampling functions. The point-spread function is applied to image patches for each of multiple defocus levels within a specified range to produce training data. Each of the images for each defocus level (i.e. focus error) is sampled using the wavelength sensitivity and spatial sampling functions. Noise is added using the noise functions. The responses from the sensor array to the training data are used to generate defocus filters for estimating focus error within the specified range. The defocus filters are then applied to the image patches of the training data and joint probability distributions of filter responses to each defocus level are characterized.
    Type: Grant
    Filed: August 13, 2013
    Date of Patent: December 23, 2014
    Assignee: Board of Regents, The University of Texas System
    Inventors: Wilson Geisler, Johannes Burge
  • Publication number: 20140341465
    Abstract: A hybrid estimator system using visual and inertial sensors for real-time pose tracking on devices with limited processing power using at least one processor, a memory, a storage and communications through a protocol and one or more than one software module for a hybrid estimator, real-time algorithm selection to process different measurements, statistical learning for these characteristics to compute the expected device computing cost of any strategy for allocating measurements to algorithms, and algorithm selection based on the statistical learning module.
    Type: Application
    Filed: May 15, 2014
    Publication date: November 20, 2014
    Applicant: The Regents of the University of California
    Inventors: Mingyang Li, Anastasios Mouriskis
  • Publication number: 20140334721
    Abstract: A system, methods, and apparatus for generating pattern recognition classifiers are disclosed. An example method includes identifying graphical objects within an image of a card object, for each identified graphical object: i) creating a bounding region encompassing the graphical object such that a border of the bounding region is located at a predetermined distance from segments of the graphical object, ii) determining pixels within the bounding region that correspond to the graphical object, iii) determining an origin of the graphical object based on an origin rule, iv) determining a text coordinate relative to the origin for each determined pixel, and v) determining a statistical probability that features are present within the graphical object, each of the features including at least one pixel having text coordinates and for each graphical object type, combining the statistical probabilities for each of the features of the identified graphical objects into a classifier data structure.
    Type: Application
    Filed: June 5, 2013
    Publication date: November 13, 2014
    Inventors: William Bennett Cervin, Alexander Scott Leverington, Kevin Michael Craft
  • Publication number: 20140328537
    Abstract: An automatic learning method for the automatic learning of the forms of appearance of objects in images in the form of object features (28) from training images (20) for using the learned object features (28) in an image processing system comprises determining a feature contribution (30) by a training image (20) to object features (28) by weighted summation of training image features by means of linear filter operations, applied to the feature image (24), by using a weight image (32) obtained at least from an annotation image (22) and a classification image (26). This allows faster learning processes and also the learning of a greater variance of forms of appearance of objects and backgrounds, which increases the robustness of the system in its application to untrained images.
    Type: Application
    Filed: August 13, 2012
    Publication date: November 6, 2014
    Applicant: EADS DEUTSCHLAND GMBH
    Inventors: Klaus Schertler, Jorg Liebelt
  • Patent number: 8879854
    Abstract: An apparatus and method are provided for recognizing an emotion of an individual based on Action Units. The method includes receiving an input AU string including one or more AUs that represents a facial expression of an individual from an AU detector; matching the input AU string with each of a plurality of AU strings, wherein each of the plurality of AU strings includes a set of highly discriminative AUs, each representing an emotion; identifying an AU string from the plurality of AU strings that best matches the input AU string; and outputting an emotion label corresponding to the best matching AU string that indicates the emotion of the individual.
    Type: Grant
    Filed: October 21, 2011
    Date of Patent: November 4, 2014
    Assignee: Samsung Electronics Co., Ltd
    Inventors: Sudha Velusamy, Hariprasad Kannan, Balasubramanian Anand, Anshul Sharma
  • Publication number: 20140321738
    Abstract: A dictionary creation device including a blurred image generation unit which outputs a blurred image generated by performing a blurring process to a learning image together with a blur parameter indicating a blurring state of the blurred image, a patch pair generation unit which generates a restoration patch and a blurred patch as a patch pair that is composed of the patches located at the corresponding positions of the learning image and the blurred image, and a registration unit which associates the patch pair with a blur parameter corresponding to the blurred patch in the patch pair and registers them in a dictionary.
    Type: Application
    Filed: December 10, 2012
    Publication date: October 30, 2014
    Inventors: Takashi Shibata, Akihiko Iketani, Shuji Senda
  • Patent number: 8873844
    Abstract: Systems and methods for metric learning include iteratively determining feature groups of images based on its derivative norm. Corresponding metrics of the feature groups are learned by gradient descent based on an expected loss. The corresponding metrics are combined to provide an intermediate metric matrix as a sparse representation of the images. A loss function of all metric parameters corresponding to features of the intermediate metric matrix are optimized, using a processor, to learn a final metric matrix. Eigenvalues of the final metric matrix are projected onto a simplex.
    Type: Grant
    Filed: November 21, 2012
    Date of Patent: October 28, 2014
    Assignee: NEC Laboratories America, Inc.
    Inventors: Chang Huang, Shenghuo Zhu, Kai Yu
  • Patent number: 8873843
    Abstract: A nearest-neighbor-based distance metric learning process includes applying an exponential-based loss function to provide a smooth objective; and determining an objective and a gradient of both hinge-based and exponential-based loss function in a quadratic time of the number of instances using a computer.
    Type: Grant
    Filed: May 23, 2012
    Date of Patent: October 28, 2014
    Assignee: NEC Laboratories America, Inc.
    Inventors: Shenghuo Zhu, Chang Huang, Kai Yu
  • Patent number: 8860715
    Abstract: A method and system for evaluating probabilistic boosting trees is disclosed. In an embodiment, input data is received at a graphics processing unit. A weighted empirical distribution associated with each node of the probabilistic boosting tree is determined using a stack implementation. The weighted empirical distribution associated with each node is added to a total posterior distribution value.
    Type: Grant
    Filed: September 9, 2011
    Date of Patent: October 14, 2014
    Assignee: Siemens Corporation
    Inventors: Neil Birkbeck, Michal Sofka, Shaohua Kevin Zhou
  • Publication number: 20140270496
    Abstract: Content-based retrieval of digital pathology images (DPI) is a fundamental component in an intelligent DPI processing and management system. The fundamental procedure of the retrieval is evaluating the similarity between the query image and every image in the database with some distance function, and sorting of the latter based on their distances to the query. A novel approach to optimally combine a set of existing distance functions into a stronger distance that is suitable for retrieving DPI in a way respecting human perception of image similarity is described herein.
    Type: Application
    Filed: March 15, 2013
    Publication date: September 18, 2014
    Applicant: SONY CORPORATION
    Inventors: Xun Xu, Akira Nakamura, Shengyang Dai, Su Wang
  • Publication number: 20140270495
    Abstract: The techniques and systems described herein create and train a multiple clustered instance learning (MCIL) model based on image features and patterns extracted from training images. The techniques and systems separate each of the training images into a plurality of instances (or patches), and then learn multiple instance-level classifiers based on the extracted image features. The instance-level classifiers are then integrated into the MCIL model so that the MCIL model, when applied to unclassified images, can perform image-level classification, patch-level clustering, and pixel-level segmentation.
    Type: Application
    Filed: March 14, 2013
    Publication date: September 18, 2014
    Applicant: MICROSOFT CORPORATION
    Inventors: Zhuowen Tu, Yan Xu, Junyan Zhu, Eric I-Chao Chang
  • Publication number: 20140270353
    Abstract: Methods, systems, and processor-readable media for pruning a training dictionary for use in detecting anomalous events from surveillance video. Training samples can be received, which correspond to normal events. A dictionary can then be constructed, which includes two or more classes of normal events from the training samples. Sparse codes are then generated for selected training samples with respect to the dictionary derived from the two or more classes of normal events. The size of the dictionary can then be reduced by removing redundant dictionary columns from the dictionary via analysis of the sparse codes. The dictionary is then optimized to yield a low reconstruction error and a high-interclass discriminability.
    Type: Application
    Filed: March 14, 2013
    Publication date: September 18, 2014
    Applicant: Xerox Corporation
    Inventors: Raja Bala, Zhigang Fan, Aaron Michael Burry, Jose Antonio Rodriguez-Serrano, Vishal Monga, Xuan Mo
  • Publication number: 20140241623
    Abstract: Systems and methods for object detection by receiving an image; segmenting the image and identifying candidate bounding boxes which may contain an object; for each candidate bounding box, dividing the box into overlapped small patches, and extracting dense features from the patches; during a training phase, applying a learning process to learn one or more discriminative classification models to classify negative boxes and positive boxes; and during an operational phase, for a new box generated from the image, applying the learned classification model to classify whether the box contains an object.
    Type: Application
    Filed: December 16, 2013
    Publication date: August 28, 2014
    Applicant: NEC Laboratories America, Inc.
    Inventors: Xiaoyu Wang, Ming Yang, Yuanqing Lin, Shenghuo Zhu
  • Patent number: 8811698
    Abstract: An image processing apparatus includes: a gradient information calculating unit that calculates gradient information of each of pixels, based on pixel values of an intraluminal image; a closed region creating unit that, based on the gradient information, creates a closed region satisfying a condition where the closed region does not include, on the inside thereof, any pixel of which the gradient strength is equal to or higher than a predetermined value, and also, the boundary of the closed region does not curve toward the interior of the closed region, with a curvature equal to or larger than a predetermined value; and an abnormal part detecting unit that detects an abnormal part from the inside of the closed region.
    Type: Grant
    Filed: April 27, 2011
    Date of Patent: August 19, 2014
    Assignee: Olympus Corporation
    Inventors: Takashi Kono, Yamato Kanda, Makoto Kitamura, Takehiro Matsuda, Masashi Hirota
  • Patent number: 8805073
    Abstract: Quantification of metric or functional parameters often requires image segmentation. A crucial part of such method is the model of the surface characteristics of the object of interest (features), which drives the deformable surface towards the object boundary in the image. According to the present invention, sections of the mesh are assigned to different classes for different features. According to the present invention, the assignment of mesh sections to the classes is adapted by using actual feature information from the unseen image. Advantageously, this allows for an adaptation of the feature category to which the mesh section is assigned and thereby allows an improved segmentation of the object.
    Type: Grant
    Filed: February 9, 2004
    Date of Patent: August 12, 2014
    Assignee: Koninklijke Philips N.V.
    Inventors: Jens Von Berg, Michael Kaus
  • Publication number: 20140205189
    Abstract: Techniques for generating cross-modality semantic classifiers and using those cross-modality semantic classifiers for ground level photo geo-location using digital elevation are provided. In one aspect, a method for generating cross-modality semantic classifiers is provided. The method includes the steps of: (a) using Geographic Information Service (GIS) data to label satellite images; (b) using the satellite images labeled with the GIS data as training data to generate semantic classifiers for a satellite modality; (c) using the GIS data to label Global Positioning System (GPS) tagged ground level photos; (d) using the GPS tagged ground level photos labeled with the GIS data as training data to generate semantic classifiers for a ground level photo modality, wherein the semantic classifiers for the satellite modality and the ground level photo modality are the cross-modality semantic classifiers.
    Type: Application
    Filed: August 19, 2013
    Publication date: July 24, 2014
    Applicant: International Business Machines Corporation
    Inventors: Liangliang Cao, Noel C.F. Codella, Gang Hua, John R. Smith
  • Patent number: 8773556
    Abstract: A signal processing device includes a preprocessing unit interpolating a G color component to positions of a pixel of interest and a pixel having the same color component as the pixel of interest so as to produce a first G interpolation signal; a proximity G pixel G color difference and R/B pixel producing unit producing a first R-G/B-G color difference signal on the positions of the pixel of interest and the pixel having the same color component, producing a second R-G/B-G color difference signal on a position of a proximity G pixel, and interpolating the R/B color component to the position of the proximity G pixel; a G color difference re-constitution processing unit re-constituting a third R-G/B-G color difference signal on the position of the pixel of interest; and a G color difference interpolation processing unit interpolating an R-G/B-G color difference signal to a position of a predetermined pixel.
    Type: Grant
    Filed: August 12, 2010
    Date of Patent: July 8, 2014
    Assignee: Sony Corporation
    Inventors: Yuya Yamaguchi, Manabu Kawashima
  • Patent number: 8761499
    Abstract: A system for detecting a global harmful video includes: a video determination policy generation unit for determining harmfulness of learning video segments from video learning information to analyze occurrence information of harmful learning video segments, and generating a global harmfulness determination policy based on the occurrence information; and a video determination policy execution unit for determining harmfulness of input video segments from information of an input video to analyze occurrence information of harmful input video segments, and determining whether the input video is harmful or not based on the occurrence information of the harmful input video segments and the global harmfulness determination policy.
    Type: Grant
    Filed: November 29, 2011
    Date of Patent: June 24, 2014
    Assignee: Electronics and Telecommunications Research Institute
    Inventors: Seung Wan Han, Jae Deok Lim, Byeong Cheol Choi, Byung Ho Chung, Hyun Sook Cho
  • Patent number: 8755596
    Abstract: The aesthetic quality of a picture is automatically inferred using visual content as a machine learning problem using, for example, a peer-rated, on-line photo sharing Website as data source. Certain visual features of images are extracted based on the intuition that they can discriminate between aesthetically pleasing and displeasing images. A one-dimensional support vector machine is used to identify features that have noticeable correlation with the community-based aesthetics ratings. Automated classifiers are constructed using the support vector machines and classification trees, with a simple feature selection heuristic being applied to eliminate irrelevant features. Linear regression on polynomial terms of the features is also applied to infer numerical aesthetics ratings.
    Type: Grant
    Filed: July 5, 2012
    Date of Patent: June 17, 2014
    Assignee: The Penn State Research Foundation
    Inventors: Ritendra Datta, Jia Li, James Z. Wang
  • Patent number: 8755594
    Abstract: An information processing device includes a first calculation unit which calculates a score of each sample image including a positive image in which an object as an identification object is present and a negative image in which the object as the identification object is not present, for each weak identifier of an identifier including a plurality of weak identifiers, a second calculation unit which calculates the number of scores when the negative image is processed, which are scores less than a minimum score among scores when the positive image is processed; and an realignment unit which realigns the weak identifiers in order from a weak identifier in which the number calculated by the second calculation unit is a maximum.
    Type: Grant
    Filed: May 26, 2011
    Date of Patent: June 17, 2014
    Assignee: Sony Corporation
    Inventors: Jun Yokono, Kohtaro Sabe
  • Patent number: 8750604
    Abstract: An image recognition information attaching apparatus includes a retrieving unit that retrieves image information on a per piece basis of identification information, from the image information having the identification information associated thereto in advance, a generator unit that generates feature information from the image information retrieved by the retrieving unit, and a learning unit that provides a learning result by learning a relation between the feature information generated by the generator unit and the identification information of the image information corresponding to the feature information, using a stochastic model including a mixture of a plurality of probability distributions.
    Type: Grant
    Filed: May 23, 2012
    Date of Patent: June 10, 2014
    Assignee: Fuji Xerox Co., Ltd.
    Inventors: Yukihiro Tsuboshita, Noriji Kato
  • Publication number: 20140133745
    Abstract: A learning unit 4 generates a function table indicating the relationship between the class number and position information of an object and the probability of appearance of the object for each small area image pattern of a code book, calculates a sharing matrix indicating the commonality of a feature amount between the classes, makes a tree diagram in which the classes with a similar feature amount are clustered, and calculates the weight of each node in the tree diagram for each small area image pattern. The recognition processing unit 7 compares image data captured by a camera 2 with the code book, selects the closest small area image pattern among a plurality of small area image patterns, extracts the class related to the node with the smallest weight among the nodes with a weight equal to or greater than a threshold value for the selected small area image pattern, and votes the position information of the small area image pattern for the class, thereby recognizing the object.
    Type: Application
    Filed: June 14, 2012
    Publication date: May 15, 2014
    Applicants: Eidgenossische Technische Hochschule Zurich, TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Nima Razavi, Juergen Gall, Luc Van Gool, Ryuji Funayama