Statistical Decision Process Patents (Class 382/228)
  • Patent number: 10322801
    Abstract: The delivery of a package using an unmanned aerial vehicle (UAV) may include performing a surveillance action at a property of an authorized party. The surveillance action may include imaging the property, and may be performed before or after the package is delivered. Surveillance data such as image data gathered in a surveillance action may be modified to remove or obscure adjacent properties not associated with the property of the authorized party. Based on surveillance data, the probability or confidence value of a surveillance event may be determined and a surveillance alert may be generated. Surveillance actions may be scheduled by a central controller to ensure that the surveillance action may be performed without exhausting the resources, such as battery power or time, of the UAV. Surveillance actions may be received as an interrupt and may have an associated priority level.
    Type: Grant
    Filed: June 12, 2015
    Date of Patent: June 18, 2019
    Assignee: Amazon Technologies, Inc.
    Inventor: Kalidas Yeturu
  • Patent number: 10127220
    Abstract: Systems and processes for language identification from short strings are provided. In accordance with one example, a method includes, at a first electronic device with one or more processors and memory, receiving user input including an n-gram and determining a similarity between a representation of the n-gram and a representation of a first language. The representation of the first language is based on an occurrence of each of a plurality of n-grams in the first language and an occurrence of each of the plurality of n-grams in a second language. The method further includes determining whether the similarity between the representation of the n-gram and the representation of the first language satisfies a threshold.
    Type: Grant
    Filed: September 3, 2015
    Date of Patent: November 13, 2018
    Assignee: Apple Inc.
    Inventors: Jerome R. Bellegarda, Bishal Barman
  • Patent number: 10122973
    Abstract: The present disclosure relates to a fluoroscopic inspection system for automatic classification and recognition of cargoes. The system includes: an image data acquiring unit, configured to perform scanning and imaging for a container by using an X-ray scanning device to acquire a scanned image; an image segmenting unit, configured to segment the scanned image into small regions each having similar gray scales and texture features; a feature extracting unit, configured to extract features of the small regions; a training unit, configured to generate a classifier according to annotated images; and a classification and recognition unit, configured to recognize the small regions by using the classifier according to the extracted features, to obtain a probability of each small region pertaining to a certain category of cargoes, and merge small regions to obtain large regions each representing a category.
    Type: Grant
    Filed: December 23, 2014
    Date of Patent: November 6, 2018
    Assignee: NUCTECH COMPANY LIMITED
    Inventors: Ziran Zhao, Yaohong Liu, Jianping Gu, Qiang Li, Jian Zhang
  • Patent number: 10096127
    Abstract: It is inter alia disclosed to classify samples of a set of samples of an image regarding whether or not a respective sample comprises optical information on a specific object type based on classification information. Therein, the classification information comprises a plurality of classifiers, each classifier being associated exclusively with one color channel of a plurality of color channels.
    Type: Grant
    Filed: October 22, 2012
    Date of Patent: October 9, 2018
    Assignee: Nokia Technologies Oy
    Inventors: Jiangwei Li, Lei Xu, Yikai Fang, Kongqiao Wang
  • Patent number: 10043254
    Abstract: In an example embodiment, an image transformation is automatically performed on a digital image to improve perceived professionalism of a subject of the image. A machine learning algorithm is utilized to generate a professionalism score for the digital image, the utilizing a machine learning algorithm comprising: a training mode where a plurality of sample images with labeled professionalism scores are used to train a classification function in a model that produces as professionalism score as output; an analysis mode where the model is used to generate a professionalism score for the digital image. Then the professionalism score is used as an input to a continuous variable optimization algorithm to determine an optimum version of the digital image from a plurality of possible versions of the digital image on which one or more image transformations have been performed, using the classification function.
    Type: Grant
    Filed: April 14, 2016
    Date of Patent: August 7, 2018
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Uri Merhav, Dan Shacham
  • Patent number: 10026015
    Abstract: A method includes acquiring image data from for a given time step. The image data represents at least one of an instrument and a target within an image space that includes patient anatomy. A given belief of system state is estimated to include an estimate of instrument state and target state determined from corresponding measurement and motion models computed based on the acquired image data and control input parameters for the given time step. An expected belief of system state is estimated for a subsequent time step based on the estimated given belief of system state and based on the measurement models and the motion models computed over a plurality of different control inputs parameters. An information metric is computed for each of the expected beliefs of system state and control input parameters are selected for the subsequent time step based on the computed information metrics.
    Type: Grant
    Filed: April 1, 2015
    Date of Patent: July 17, 2018
    Assignees: Case Western Reserve University, The Cleveland Clinic Foundation
    Inventors: Murat Cenk Cavusoglu, Mark Renfrew, Zhuofu Bai, Taoming Liu, Nathaniel Lombard Poirot, Jeffrey Ustin
  • Patent number: 9930250
    Abstract: One image processing method has at least the following steps: receiving an image input in a device, wherein the image input is composed of at least one source image; receiving image selection information; regarding a source image included in the image input, checking the image selection information to determine whether the source image is selected or skipped; and performing an object oriented image processing operation upon each selected source image. Another image processing method has at least the following steps: receiving an image input in a device, wherein the image input is composed of at least one source image; receiving algorithm selection information; and regarding a source image included in the image input, checking the algorithm selection information to determine a selected image processing algorithm from a plurality of different image processing algorithms, and performing an image processing operation upon the source image based on the selected image processing algorithm.
    Type: Grant
    Filed: September 15, 2013
    Date of Patent: March 27, 2018
    Assignee: MEDIATEK INC.
    Inventors: Cheng-Tsai Ho, Ding-Yun Chen, Chi-Cheng Ju
  • Patent number: 9832540
    Abstract: A method and apparatus for encoding a source media program is disclosed. In one embodiment, the method comprises the steps of transcoding the source media program to produce a constant video quality transcoded version of the media program, determining if a portion of constant video quality version of the transcoded media program fails to satisfy a constraint, if the portion of the transcoded media program fails to satisfy the constraint, adjusting at least one transcoding parameter of a set of transcoding parameters, transcoding the portion of the source media program according to the adjusted at least one transcoding parameter to produce a constant bit rate version of the portion of the transcoded media program, and substituting the constant bit rate version of the portion of the transcoded media program for the constant video quality portion of the transcoded media program.
    Type: Grant
    Filed: December 15, 2010
    Date of Patent: November 28, 2017
    Assignee: HULU, LLC
    Inventors: Yupeng Liao, Kang Kang, Zhibing Wang
  • Patent number: 9805025
    Abstract: Embodiments relate to a system and a method for identifying, from contractual documents, (i) standard exact clauses matching clause examples and (ii) non-standard clauses semantically related to but not matching the clause examples. A standard feature data set comprising standard exact clauses matching clause examples is obtained. In addition, a mirror feature data set comprising semantically related clauses of the clause examples is obtained using semantic language analysis, where the mirror feature data set encompasses the standard feature data set. Non-standard clauses are obtained by extracting a difference between the mirror feature data set and the standard exact feature data set.
    Type: Grant
    Filed: July 13, 2015
    Date of Patent: October 31, 2017
    Assignee: Seal Software Limited
    Inventor: Kevin Gidney
  • Patent number: 9799110
    Abstract: An abnormality detection method of detecting abnormality of a blast furnace from tuyere images shot by cameras installed in vicinities of a plurality of tuyeres of the blast furnace includes: collecting, in a time-series manner, representative brightness vectors defined by representative brightnesses determined based on brightness values of respective pixels for each of the tuyeres image previously shot by the cameras at a same time; extracting a principal component vector by performing principal component analysis on the representative brightness vectors collected in the time-series manner; calculating, as an evaluation value, a length of a normal line drawn in a direction of the principal component vector from the representative brightness vector collected from the tuyere images shot by the cameras at the same time during an operation; and detecting the abnormality of the blast furnace by comparing the evaluation value with a predetermined threshold.
    Type: Grant
    Filed: June 18, 2014
    Date of Patent: October 24, 2017
    Assignee: JFE STEEL CORPORATION
    Inventors: Kazuro Tsuda, Takehide Hirata, Naoshi Yamahira, Hidekazu Abe
  • Patent number: 9792359
    Abstract: A method and system of providing training information for training a categorizer includes receiving a query relating to at least one category and identifying at least one case within a data set that matches the query. The method and system receives one of a first indication that the identified at least one case belongs to the category, and a second indication that the identified at least one case does not belong to the category. Training information is modified based on receiving one of the first indication and second indication.
    Type: Grant
    Filed: April 29, 2005
    Date of Patent: October 17, 2017
    Assignee: ENTIT SOFTWARE LLC
    Inventors: Evan R. Kirshenbaum, Henri J. Suermondt, George H. Forman, Stephane Chiocchetti
  • Patent number: 9773159
    Abstract: At least one example embodiment discloses an image feature extracting method. The method includes determining a probabilistic model based on pixel values of pixels in a kernel, determining image feature information of a current pixel of the pixels in the kernel and determining whether to change the image feature information of the current pixel based on a random value and a probability value of the current pixel, the probability value being based on the probabilistic model.
    Type: Grant
    Filed: July 29, 2015
    Date of Patent: September 26, 2017
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Changkyo Lee, Byungin Yoo, Namjoon Kim, Jaejoon Han
  • Patent number: 9773185
    Abstract: An image processing apparatus includes a corresponding region connecting unit that connects regions that depict the same target between a series of images captured in time series, thereby sets at least one connected region; a connected region feature data calculation unit that calculates feature data of the connected region; a digest index value calculation unit that calculates a digest index value corresponding to a degree at which the target depicted in the series of images is aggregated in each image of the series of images, based on the feature data; and a digest image detector that detects a digest image based on the digest index value.
    Type: Grant
    Filed: July 18, 2012
    Date of Patent: September 26, 2017
    Assignee: OLYMPUS CORPORATION
    Inventor: Yamato Kanda
  • Patent number: 9727800
    Abstract: Disclosed are a system, apparatus, and method for detecting objects. Input image frames may be received and distinct regions created within each frame. Descriptors may be extracted from the regions according to their associated probability. Extracted descriptors may be matched to reference descriptors. Votes or confidence is cast for particular regions according to region properties. The region properties may be determined from center voting methods based on vector intersection to other vectors or intersections with a region. The probability of selecting particular regions can increase with each vote or increase in confidence for a region. In response to updating probabilities, additional regions may be selected and additional descriptors may be extracted. Additional voting iterations can update the probability of selecting a next region. An object pose may be estimated in response to meeting one or more thresholds.
    Type: Grant
    Filed: September 25, 2015
    Date of Patent: August 8, 2017
    Assignee: QUALCOMM Incorporated
    Inventors: Qi Pan, Romain Tallonneau, Emilio Maggio, Stefan Walk
  • Patent number: 9710457
    Abstract: A computer-implemented apparatus and method for performing patent portfolio analysis. The patent portfolio analysis apparatus and method clusters a group of patents based upon one or more techniques. The clustering techniques include linguistic clustering techniques (e.g., eigenvector analysis), claim meaning, and patent classification techniques. Different aspects of the clusters are analyzed, including financial, claim breadth, and assignee patent comparisons. Moreover, patents and/or their clusters are linked to the Internet in order to determine what products might be covered by the claims of the patents or whether materials on the Internet might render patent claims invalid.
    Type: Grant
    Filed: January 9, 2012
    Date of Patent: July 18, 2017
    Inventors: Gregory A. Stobbs, John V. Biernacki
  • Patent number: 9699447
    Abstract: A system and method for calibrating a dynamic digital imaging system for the detection of defects in a moving product stream. The system has an elevated platform above a conveying unit for receiving a reference color tile. The elevated platform allows for the passage of products to be inspected on the below conveying unit surface such that calibration and re-calibration processes during image capturing may be accomplished on a continuous basis without interruption of the product stream.
    Type: Grant
    Filed: March 14, 2013
    Date of Patent: July 4, 2017
    Inventors: Rick Wendell Bajema, Wilfred Marcellien Bourg, Jr., Scott Fagan, Sonchai Lange, Kerwin Bradley, David Ray Warren
  • Patent number: 9639930
    Abstract: Provided are an apparatus for processing a medical image, and a method of processing a medical image by using the apparatus. The apparatus includes: an image obtainer that receives a first image obtained by photographing an object; and an image processor that calculates a scaling factor for adjusting a magnification of the first image based on statistic information corresponding to the object and generates a second image to be displayed by normalizing a size of the object by applying the calculated scaling factor to the first image.
    Type: Grant
    Filed: September 22, 2014
    Date of Patent: May 2, 2017
    Assignee: SAMSUNG MEDISON CO., LTD.
    Inventor: Jun-sang Yoo
  • Patent number: 9607228
    Abstract: The method and apparatus segment parts from a main target image, represent each part as a vertex in a spanning tree, use a detector to generate a confidence map of a location of each part in a succeeding video frame and apply scale change to detector sliding windows centered about each pixel in the part location image. In the succeeding video frame, the target location is sampled and a tracking probability is generated for each part bounding box, with the tracking probability having the maximum value being selected as the location of the target in the succeeding video frame.
    Type: Grant
    Filed: February 14, 2014
    Date of Patent: March 28, 2017
    Assignee: Toyota Motor Engineering & Manufacturing North America, Inc.
    Inventors: Xue Mei, Danil Prokhorov
  • Patent number: 9571844
    Abstract: An analyzing unit sets a threshold on the basis of a target compression ratio of a frame. The compression unit compresses a block having an attribute value larger than or equal to a threshold by applying a first compression format and a block having an attribute value smaller than the threshold by applying a second compression format having a higher compression ratio than the first compression format.
    Type: Grant
    Filed: December 18, 2014
    Date of Patent: February 14, 2017
    Assignee: MegaChips Corporation
    Inventor: Handa Chen
  • Patent number: 9530070
    Abstract: A method for parsing the text of a complex graphical image comprises obtaining a series of blocks of text from a complex graphical image. Those blocks of text are used to generate location scores, size scores and length scores. Each of the scores is weighted and linearly summed. The highest resulting sum is identified as the most likely to be a desired text block.
    Type: Grant
    Filed: April 29, 2015
    Date of Patent: December 27, 2016
    Assignee: Procore Technologies, Inc.
    Inventors: Andrew Lee Maltun, Michael Anthony Stock, II, Jake Sanders
  • Patent number: 9405976
    Abstract: The present disclosure relates to systems and methods for classifying videos based on video content. For a given video file including a plurality of frames, a subset of frames is extracted for processing. Frames that are too dark, blurry, or otherwise poor classification candidates are discarded from the subset. Generally, material classification scores that describe type of material content likely included in each frame are calculated for the remaining frames in the subset. The material classification scores are used to generate material arrangement vectors that represent the spatial arrangement of material content in each frame. The material arrangement vectors are subsequently classified to generate a scene classification score vector for each frame. The scene classification results are averaged (or otherwise processed) across all frames in the subset to associate the video file with one or more predefined scene categories related to overall types of scene content of the video file.
    Type: Grant
    Filed: August 18, 2015
    Date of Patent: August 2, 2016
    Assignee: TiVo Inc.
    Inventors: Heather Dunlop, Matthew Berry
  • Patent number: 9378434
    Abstract: An image analysis method includes acquiring fluorescent images of frames in time-series. Each fluorescent image comprises pixels in which pixel data are acquired in the time-series. The method further includes setting analysis areas to the acquired fluorescent images, calculating a classification value of the analysis areas, classifying the images into one or more groups on the basis of the classification value, calculating an average image of the analysis area every group, subtracting the average image from each image of the analysis area every group to calculate a new image of the analysis area, and calculating a correlation value on the basis of the new images every group.
    Type: Grant
    Filed: April 25, 2013
    Date of Patent: June 28, 2016
    Assignee: OLYMPUS CORPORATION
    Inventor: Akemi Suzuki
  • Patent number: 9330338
    Abstract: An image analysis method includes acquiring fluorescent images of frames in time-series. Each fluorescent image comprises pixels in which pixel data are acquired in the time-series. The method further includes setting analysis areas to the fluorescent images, selecting the fluorescent images of two or more frames to be used in analysis, extracting data pairs each comprising two pixels in which acquisition time intervals are the same in the analysis area of each of the selected fluorescent images, and performing product sum calculation of each of the data pairs for all of the selected images to calculate a correlation value.
    Type: Grant
    Filed: April 25, 2013
    Date of Patent: May 3, 2016
    Assignee: OLYMPUS CORPORATION
    Inventor: Akemi Suzuki
  • Patent number: 9286527
    Abstract: Techniques are provided for segmenting an input by cut point classification and training a cut classifier. A method may include receiving, by a computerized text recognition system, an input in a script. A heuristic may be applied to the input to insert multiple cut points. For each of the cut points, a probability may be generated and the probability may indicate a likelihood that the cut point is correct. Multiple segments of the input may be selected, and the segments may be defined by cut points having a probability over a threshold. Next, the segments of the input may be provided to a character recognizer. Additionally, a method may include training a cut classifier using a machine learning technique, based on multiple text training examples, to determine the correctness of a cut point in an input.
    Type: Grant
    Filed: February 20, 2014
    Date of Patent: March 15, 2016
    Assignee: Google Inc.
    Inventors: Li-Lun Wang, Thomas Deselaers, Henry Allan Rowley
  • Patent number: 9213910
    Abstract: Methods and systems for achieving accurate segmentation of characters with respect to a license plate image utilizing a reinforcement learning approach. A vehicle image can be captured by an image capturing unit and processed utilizing an ALPR (Automatic License Plate Recognition) unit. The reinforcement learning (RL) approach can be configured to initialize a segmentation agent with a starting location. A proper segmentation path (cuts) from top to bottom and from a darker to lighter area in a cropped license plate image can be identified by the segmentation agent during a training phase. Rewards can be provided based on a number of good and bad moves. The association between a current state and a sensory input with a preferred action can be learned by the segmentation agent at the end of the training phase.
    Type: Grant
    Filed: January 21, 2014
    Date of Patent: December 15, 2015
    Assignee: Xerox Corporation
    Inventors: Aaron Michael Burry, Farnaz Abtahi
  • Patent number: 9158813
    Abstract: A structured query may specify attribute values for attributes. An estimate of the number of items that will match the structured query if it is applied to a structured database is determined. If the estimated number of items is below a threshold, the structured query may be relaxed to form new candidate structured queries. The number of candidate queries may be determined based on a desired running time. Each of the candidate structured queries may be determined by changing one or more attribute values of the attributes of the structured query. Estimates of the number of items each of the candidate structured queries will match is determined, and the candidate structured query that has the highest matching estimation is used to query the database. The matching results may be output.
    Type: Grant
    Filed: June 9, 2010
    Date of Patent: October 13, 2015
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Alexandros Ntoulas, Sreenivas Gollapudi, Samuel Ieong, Stelios Paparizos, John Christopher Shafer
  • Patent number: 9111169
    Abstract: A method and system for identifying one or more features represented in a plurality of sensor acquired data sets is described. The method and apparatus is particularly useful in automatic license plate recognition applications, where the sensor acquired data sets are data obtained from one or more digital cameras. This is achieved by determining a first probability of the identity of the one or more features (e.g., alphanumeric characters) from a first one of the data sets; determining a second probability of the identity of the one or more features from a second one of the data sets; and, using data fusion techniques, fusing the determined first and second probabilities to provide a fused probability. This fused probability is used to identify the one or more features from data sets.
    Type: Grant
    Filed: September 5, 2012
    Date of Patent: August 18, 2015
    Assignee: Sensen Networks Pty Ltd
    Inventor: Subhash Challa
  • Patent number: 9036923
    Abstract: Provided are an age estimation apparatus, an age estimation method, and an age estimation program capable of obtaining a recognition result closely matching the result perceived by human. An age estimation apparatus 10 for estimating an age of a person on image data includes a dimension compressor 11 for applying dimension compression to the image data to output low dimensional data; and an identification device 12 for estimating an age of a person on the basis of a learning result using a feature amount contained in the low dimensional data, wherein a parameter used for the dimension compression by the dimension compressor 11 and the feature amount used for age estimation by the identification device 12 are set on the basis of a result of an evaluation of a generalization capability using a weighting function that shows a degree of seriousness of an age estimation error for every age, and learning of the identification device 12 is performed on the basis of the weighting function.
    Type: Grant
    Filed: April 14, 2010
    Date of Patent: May 19, 2015
    Assignees: NEC Solution Innovators, Ltd., TOKYO INSTITUTE OF TECHNOLOGY
    Inventors: Kazuya Ueki, Masashi Sugiyama, Yasuyuki Ihara
  • Patent number: 9025889
    Abstract: An apparatus for providing pattern detection may include a processor. The processor may be configured to iteratively test different models and corresponding scales for each of the models. The models may be employed for modeling parameters corresponding to a visually detected data. The processor may be further configured to evaluate each of the models over a plurality of iterations based on a function evaluation of each of the models, select one of the models based on the function evaluation of the selected one of the models, and utilize the selected one of the models for fitting the data.
    Type: Grant
    Filed: February 21, 2013
    Date of Patent: May 5, 2015
    Assignee: Core Wireless Licensing S.a.r.l.
    Inventors: Lixin Fan, Timo Pylvanainen
  • Patent number: 9014487
    Abstract: An apparatus includes a first acquisition unit configured to acquire main object information specifying a main object in generation of a layout image, a second acquisition unit configured to acquire object correlation information specifying an object having a correlation with the main object, an extraction unit configured to extract at least one image including the main object and at least one image including the object having the correlation with the main object from a plurality of images based on the acquired main object information and the acquired object correlation information acquired, and a generation unit configured to generate, using a layout template, a layout image in which the at least one image extracted by the extraction unit and including the main object and the at least one image extracted by the extraction unit and including the object having the correlation with the main object are laid out therein.
    Type: Grant
    Filed: July 3, 2013
    Date of Patent: April 21, 2015
    Assignee: Canon Kabushiki Kaisha
    Inventors: Minako Kato, Kiyoshi Umeda, Hiroyuki Sakai, Hiroyasu Kunieda, Yusuke Hashii, Naoki Sumi
  • Patent number: 8977059
    Abstract: Integrating features is disclosed, including: determining a value associated with a temporal feature for a point; determining a value associated with a spatial feature associated with the temporal feature; including the value associated with a spatial feature and the value associated with the temporal feature into a feature vector; and using the feature vector to decode for a character. Determining a transform is also disclosed, including: determining, for a point associated with a sequence of points, a set of points including: the point, a first subset of points of the sequence preceding a sequence position associated with the point, and a second subset of points following the sequence position associated with the point; and determining the transform associated with the point based at least in part on the set of points.
    Type: Grant
    Filed: June 4, 2012
    Date of Patent: March 10, 2015
    Assignee: Apple Inc.
    Inventors: Jerome R. Bellegarda, Jannes G. A. Dolfing, Devang K. Naik
  • Publication number: 20150063713
    Abstract: A hierarchy machine may be configured as a clustering machine that utilizes local feature embedding to organize visual patterns into nodes that each represent one or more visual patterns. These nodes may be arranged as a hierarchy in which a node may have a parent-child relationship with one or more other nodes. The hierarchy machine may implement a node splitting and tree-learning algorithm that includes hard-splitting of nodes and soft-assignment of nodes to perform error-bounded splitting of nodes into clusters. This may enable the hierarchy machine, which may form all or part of a visual pattern recognition system, to perform large-scale visual pattern recognition, such as font recognition or facial recognition, based on a learned error-bounded tree of visual patterns.
    Type: Application
    Filed: August 28, 2013
    Publication date: March 5, 2015
    Applicant: ADOBE SYSTEMS INCORPORATED
    Inventors: Jianchao Yang, Guang Chen, Hailin Jin, Jonathan Brandt, Elya Shechtman
  • Patent number: 8971670
    Abstract: A system includes preparing respective proof reading tools for performing carpet proof reading and side-by-side proof reading of text data, recording a log of time to perform proof reading operations by using the first and second proof reading tools. The method further includes estimating, based on times stored in a log, times to perform proof reading of a character using 1) the first proof reading tool followed by using the second proof reading tool, and 2) the second proof reading tool. The method further includes determining for each character value, based on the estimated times, to use the first proof reading tool along with using the second proof reading tool and determining, or to use the second proof reading tool without using the first proof reading tool.
    Type: Grant
    Filed: November 6, 2012
    Date of Patent: March 3, 2015
    Assignee: International Business Machines Corporation
    Inventors: Takashi Itoh, Toshinari Itoki, Takayuki Osogami
  • Publication number: 20150043831
    Abstract: Techniques for separating shareable images from non-shareable images. In various implementations, image metadata and feature analysis may be used to evaluate the “shareability” of a photograph associated with a particular user. In some implementations, single photos may be determined to be shareable. In another implementation, an event associated with multiple photos may be determined to be shareable. In some implementations, a photo may be determined to be shareable with a single recipient. In another implementation, a photo may be determined to be shareable with multiple recipients. In yet another implementation, these techniques may be assisted by supervised machine learning. In still yet another implementation, photos determined to be shareable may be suggested to a user for sharing, or automatically shared, per an opt-in feature.
    Type: Application
    Filed: August 7, 2014
    Publication date: February 12, 2015
    Inventors: Emil Arfvidsson, Kevin Nuesa Gabayan, Andrew Gerrit Adriaan Huibers, Seth Taylor Raphael
  • Patent number: 8953910
    Abstract: A method includes preparing respective proof reading tools for performing carpet proof reading and side-by-side proof reading of text data, recording a log of time to perform proof reading operations by using the first and second proof reading tools. The method further includes estimating, based on times stored in a log, times to perform proof reading of a character using 1) the first proof reading tool followed by using the second proof reading tool, and 2) the second proof reading tool. The method further includes determining for each character value, based on the estimated times, to use the first proof reading tool along with using the second proof reading tool or to use the second proof reading tool without using the first proof reading tool.
    Type: Grant
    Filed: September 28, 2012
    Date of Patent: February 10, 2015
    Assignee: International Business Machines Corporation
    Inventors: Takashi Itoh, Toshinari Itoki, Takayuki Osogami
  • Patent number: 8942459
    Abstract: In various embodiments, methods and apparatus are provided for automated selection of features of cells useful for classifying cell phenotype. The methods include determining a signal-to-noise ratio (S/N) for each of a plurality of pairs of features, rather than S/N for individual features. The approach is capable of quickly identifying a small set of features of imaged cells that are most relevant for classification of a desired cell phenotype from among a very large number of features. The small group of relevant features can then be used to more efficiently and more accurately classify phenotype of unidentified cells.
    Type: Grant
    Filed: September 12, 2011
    Date of Patent: January 27, 2015
    Assignee: PerkinElmer Cellular Technologies Germany GmbH
    Inventor: Peet Kask
  • Patent number: 8923564
    Abstract: A method of detecting a face in an image includes performing face detection within a first window of the image at a first location. A confidence level is obtained from the face detection indicating a probability of the image including a face at or in the vicinity of the first location. Face detection is then performed within a second window at a second location, wherein the second location is determined based on the confidence level.
    Type: Grant
    Filed: February 10, 2014
    Date of Patent: December 30, 2014
    Assignee: DigitalOptics Corporation Europe Limited
    Inventors: Eran Steinberg, Petronel Bigioi, Peter Corcoran, Mihnea Gangea, Stefan Mirel Petrescu, Andrei Vasiliu, Gabriel Costache, Alexandru Drimbarean
  • Publication number: 20140376824
    Abstract: Methods are disclosed for classifying different parts of a sample into respective classes based on an image stack that includes one or more images.
    Type: Application
    Filed: January 24, 2014
    Publication date: December 25, 2014
    Applicant: Cambridge Research & Instrumentation, Inc.
    Inventors: Richard Levenson, Clifford C. Hoyt, Kirk William Gossage
  • Publication number: 20140355895
    Abstract: One or more apparatus and method for adaptively detecting motion instability in video. In embodiments, video stabilization is predicated on adaptive detection of motion instability. Adaptive motion instability detection may entail determining an initial motion instability state associated with a plurality of video frames. Subsequent transitions of the instability state may be detected by comparing a first level of instability associated with a first plurality of the frames to a second level of instability associated with a second plurality of the frames. Image stabilization of received video frames may be toggled first based on the initial instability state, and thereafter based on detected changes in the instability state. Output video frames, which may be stabilized or non-stabilized, may then be stored to a memory. In certain embodiments, video motion instability is scored based on a probability distribution of video frame motion jitter values.
    Type: Application
    Filed: March 18, 2014
    Publication date: December 4, 2014
    Inventors: Lidong Xu, Chen Wang, Yi-Jen Chiu, Jong Dae Oh, Heon-Mo Koo
  • Publication number: 20140348434
    Abstract: Systems, apparatus and methods are described related to accelerated object detection filter using a video estimation module.
    Type: Application
    Filed: December 20, 2012
    Publication date: November 27, 2014
    Inventors: Lin Xu, Yangzhou Du, Jianguo Li, Qiang Li, Ya-Ti Peng, Yi-Jen Chiu
  • Patent number: 8897578
    Abstract: An image recognition device that improves the accuracy of generic object recognition compared with conventional technologies by reducing the influence of the position, size, background clutter and the like of an object that is targeted to be recognized in the input image by the generic object recognition. The image recognition device performs a generic object recognition and includes: a segmenting unit configured to segment an input image into a plurality of regions in accordance with meanings extracted from content of the input image; a generating unit configured to compute feature data for each of the plurality of regions and generate feature data of the input image reflecting the computed feature data; and a checking unit configured to check whether or not a recognition-target object is present in the input image in accordance with the feature data of the input image.
    Type: Grant
    Filed: August 29, 2012
    Date of Patent: November 25, 2014
    Assignee: Panasonic Intellectual Property Corporation of America
    Inventors: Zhongyang Huang, Yang Hua, Shuicheng Yan, Qiang Chen, Ryouichi Kawanishi
  • Patent number: 8897550
    Abstract: A system and method for estimating a set of landmarks for a large image ensemble employs only a small number of manually labeled images from the ensemble and avoids labor-intensive and error-prone object detection, tracking and alignment learning task limitations associated with manual image labeling techniques. A semi-supervised least squares congealing approach is employed to minimize an objective function defined on both labeled and unlabeled images. A shape model is learned on-line to constrain the landmark configuration. A partitioning strategy allows coarse-to-fine landmark estimation.
    Type: Grant
    Filed: May 10, 2013
    Date of Patent: November 25, 2014
    Assignee: NBCUniversal Media, LLC
    Inventors: Yan Tong, Xiaoming Liu, Jilin Tu, Peter Henry Tu, Frederick Wilson Wheeler
  • Patent number: 8885941
    Abstract: An image editing application (or a blur classification module thereof) may automatically estimate a coherent defocus blur map from a single input image. The application may represent the blur spectrum as a differentiable function of radius r, and the optimal radius may be estimated by optimizing the likelihood function through a gradient descent algorithm. The application may generate the spectrum function over r through polynomial-based fitting. After fitting, the application may generate look-up tables to store values for the spectrum and for its first and second order derivatives, respectively. The use of these tables in the likelihood optimization process may significantly reduce the computational costs of a given blur estimation exercise. The application may minimize an energy function that includes a data term, a smoothness term, and a smoothness parameter that is adaptive to local image content. The output blur map may be used for image object depth estimation.
    Type: Grant
    Filed: July 31, 2012
    Date of Patent: November 11, 2014
    Assignee: Adobe Systems Incorporated
    Inventors: Stephen N. Schiller, Scott D. Cohen, Xiang Zhu
  • Patent number: 8885879
    Abstract: In a technology of acquiring an object position by a visual cone intersection method, an object position estimation device which reduces estimation of incorrect position due to ghost image objects is provided, wherein an object candidate acquisition means estimates an object position by a visual cone intersection method and acquires a candidate object, an object candidate information storage means which stores information on overlap among the candidate objects for the visual cone of the object which is acquired based on the captured image, a degree of co-movement acquisition means acquires an index as a degree of co-movement which is calculated based on number of visual cones including other candidate objects which co-move with a movement of the candidate object and indicates interrelation among candidate objects for candidate objects, and a candidate object determination means identifies said candidate object as either an object or a non-object by a posteriori probability based on the acquired index and outp
    Type: Grant
    Filed: April 21, 2010
    Date of Patent: November 11, 2014
    Assignee: NEC Corporation
    Inventor: Hiroo Ikeda
  • 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
  • Patent number: 8879855
    Abstract: A method for fine-grained image classification on an image includes automatically segmenting one or more objects of interest prior to classification; and combining segmented and original image features before performing final classification.
    Type: Grant
    Filed: April 6, 2013
    Date of Patent: November 4, 2014
    Assignee: NEC Laboratories America, Inc.
    Inventors: Anelia Angelova, Shenghuo Zhu, Yuanqing Lin
  • Patent number: 8873812
    Abstract: An image segmentation method includes generating a hierarchy of regions by unsupervised segmentation of an input image. Each region is described with a respective region feature vector representative of the region. Hierarchical structures are identified, each including a parent region and its respective child regions in the hierarchy. Each hierarchical structure is described with a respective hierarchical feature vector that is based on the region feature vectors of the respective parent and child regions. The hierarchical structures are classified according to a set of predefined classes with a hierarchical classifier component that is trained with hierarchical feature vectors of hierarchical structures of training images. The training images have semantic regions labeled according to the set of predefined classes. The input image is segmented into a plurality of semantic regions based on the classification of the hierarchical structures and optionally also on classification of the individual regions.
    Type: Grant
    Filed: August 6, 2012
    Date of Patent: October 28, 2014
    Assignee: Xerox Corporation
    Inventors: Diane Larlus-Larrondo, Rui Hu, Craig Saunders, Gabriela Csurka
  • Patent number: 8873868
    Abstract: An apparatus is provided for classifying targets into a known-object group and an unknown-object group. The apparatus includes a speech/image data storage unit configured to store a spoken sound of a name of an object and an image of the object; a unit configured to calculate a speech confidence level of a speech for the name of the object with reference to a spoken sound of a name of a known object; a unit configured to calculate an image confidence level of an image of an object with respect to an image of a known object; and a unit configured to compare an evaluation value, which is obtained by combining the speech confidence level and image confidence level, with a threshold value, and classify a target object into an object group determined according to whether the spoken sound of the name and the image are known or unknown.
    Type: Grant
    Filed: December 21, 2012
    Date of Patent: October 28, 2014
    Assignees: Honda Motor Co. Ltd., National University Corporation Kobe University
    Inventors: Mikio Nakano, Naoto Iwahashi, Yasuo Ariki, Yuko Ozasa, Takahiro Hori, Ryohei Nakatani
  • Patent number: 8867851
    Abstract: Embodiments of the present invention include systems and methods for identifying an object in an image. In embodiments, object identification includes using smooth encoding from a tree structure to generate a feature from a descriptor. In embodiments, the smooth encoding may be performed by, having identifying a leaf node for a descriptor, moving up the tree voting structure a number of levels from the identified leaf node to a branch node to identify leaf nodes dependent from the branch node; and then, by determining a sparse code under a condition that a distance between the descriptor and centroids of the leaf nodes dependent from the branch node weighted by the sparse code is minimized, wherein each element of the sparse code representing a weight corresponding to leaf nodes.
    Type: Grant
    Filed: December 12, 2012
    Date of Patent: October 21, 2014
    Assignee: Seiko Epson Corporation
    Inventors: Jinjun Wang, Jing Xiao
  • Patent number: 8861788
    Abstract: The invention provides a method, system, and program product for detecting an object in a digital image. In one embodiment, the invention includes: deriving an initial object indication mask based on pixel-wise differences between a first digital image and a second digital image, at least one of which includes the object; performing an edge finding operation on both the first and second digital images, wherein the edge finding operation includes marking added edges; generating a plurality of straight linear runs of pixels across an image containing the object, wherein each of the plurality of straight linear runs starts and ends on an added edge and is contained within the initial object indication mask; and forming a final object indication mask by retaining only pixels that are part of at least one of the plurality of straight linear runs.
    Type: Grant
    Filed: July 3, 2012
    Date of Patent: October 14, 2014
    Assignee: International Business Machines Corporation
    Inventor: Jonathan H. Connell, II