Classification Patents (Class 382/224)
  • Patent number: 10732821
    Abstract: A portable multifunction device displays a first user interface object and a second user interface object on a touch screen display. Upon detecting a finger-down event at the first user interface object and one or more finger-dragging events on the touch screen display, the device moves the first user interface object on the touch screen display along a path determined by the finger-dragging events until the first user interface object at least in part overlaps the second user interface object. Upon detecting a finger-up event at the second user interface object, the device visually replaces the second user interface object with the first user interface object.
    Type: Grant
    Filed: April 8, 2019
    Date of Patent: August 4, 2020
    Assignee: Apple Inc.
    Inventors: Andrew Emilio Platzer, Charles J. Pisula, Imran Chaudhri, Steven P. Jobs, Gregory Christie, Scott Forstall, Stephen O. Lemay, Michael Matas, Gregory Novick, Marcel Van Os
  • Patent number: 10733374
    Abstract: A method for implementing Live Documentation (LiDo) systems to incorporate and authenticate metadata of electronic documents. An electronic document received at a first LiDo system is partitioned into textual units. Each textual unit has a payload with a printable message and metadata that is not visible to the consumer, wherein the metadata includes one or more attributes. A second LiDo system uses the one or more attributes of a textual unit to authenticate the writer of the textual unit and filter textual units to display only printable messages with a validity above a designated threshold.
    Type: Grant
    Filed: December 23, 2019
    Date of Patent: August 4, 2020
    Inventor: Gideon Samid
  • Patent number: 10726349
    Abstract: A plurality of binary support vector machines (SVM) are trained to vote between two of a plurality of classes. Each of the binary SVMs vote between a different pair of the plurality of classes. A set of validated samples is input to each of the binary SVMs. The set of validated samples includes samples of each of the classes. Likelihood estimates are determined based on votes of the binary SVMs. A prior probability distribution (prior) is assigned for each of the classes. A posterior probability is calculated for each of the classes based on the determined likelihood estimates and the assigned priors.
    Type: Grant
    Filed: November 27, 2014
    Date of Patent: July 28, 2020
    Assignee: LONGSAND LIMITED
    Inventors: George Saklatvala, Pashmina Cameron
  • Patent number: 10726273
    Abstract: A method of detecting a back of a shelf for supporting objects includes: obtaining an image depicting a shelf having a shelf edge and a support surface extending from the shelf edge to a shelf back; decomposing the image into a plurality of patches; for each patch: generating a feature descriptor; based on the feature descriptor, assigning one of a shelf back classification and a non-shelf back classification to the patch; generating a mask corresponding to the image, the mask containing an indication of the classification assigned to each of the patches; and presenting the mask.
    Type: Grant
    Filed: May 1, 2017
    Date of Patent: July 28, 2020
    Assignee: Symbol Technologies, LLC
    Inventors: Raymond Phan, Yan Zhang, Richard Jeffrey Rzeszutek, Bo Fu
  • Patent number: 10719938
    Abstract: A method of recognizing edges in a camera image (A) produced by a camera, includes steps of: assigning (S1) a respective scaling size to each pixel (aij) of the camera image (A) as a function of an object distance, relative to the camera, of a spatial region imaged in the respective pixel (aij); producing (S2) an integral image (B) from the camera image (A); applying (S3) Haar wavelet transforms to the pixels (bij) of the integral image (B) to generate a gradient image (C), wherein a scaling of the Haar wavelets is determined for each pixel (bij) of the integral image (B) taking account of the scaling size assigned to the corresponding pixel (aij) of the camera image (A); and recognizing (S4) edges in the camera image (A) using the generated gradient image (C).
    Type: Grant
    Filed: June 5, 2018
    Date of Patent: July 21, 2020
    Assignee: Conti Temic microelectronic GmbH
    Inventors: Axel Roth, Dimitri Hamidi, Bingxiang Cheng, Thomas Bopp
  • Patent number: 10719543
    Abstract: [Object] To easily search a plurality of captured images for a captured image in which a subject to be imaged that has once appeared in a captured image appears again is desired. [Solution] An information processing apparatus according to the present disclosure includes: a reading unit configured to read, from a recording unit configured to record radio wave information concerning a radio wave, a captured image, and a time at which the captured image is taken in correlation with one another, the radio wave information; and a searching unit configured to search a plurality of the captured images recorded in the recording unit for a captured image that satisfies a search condition on a basis of at least one of a number of radio waves included in the read radio wave information and an intensity of the radio waves.
    Type: Grant
    Filed: May 17, 2016
    Date of Patent: July 21, 2020
    Assignee: SONY CORPORATION
    Inventors: Keigo Ihara, Atsushi Shionozaki, Yasushi Miyajima
  • Patent number: 10706503
    Abstract: According to one implementation, an image processing system includes a computing platform having a hardware processor and a system memory storing a software code including a convolutional neural network (CNN) trained using one or more semantic map(s). The hardware processor executes the software code to receive an original image including multiple object images each identified with one of multiple object classes, and to generate replications of the original image, each replication corresponding respectively to one of the object classes. The hardware processor further executes the software code to, for each replication, selectively modify one or more object image(s) identified with the object class corresponding to the replication, using the CNN, to produce partially modified images each corresponding respectively to an object class, and to merge the partially modified images, using the CNN, to generate a modified image corresponding to the original image.
    Type: Grant
    Filed: March 13, 2018
    Date of Patent: July 7, 2020
    Assignee: Disney Enterprises, Inc.
    Inventors: Christopher Schroers, Federico Perazzi, Caner Hazirbas
  • Patent number: 10706558
    Abstract: The present invention concerns a method for assigning a pixel to one of a foreground pixel set and a background pixel set using asynchronous semantic post processing to improve motion detection by an imaging device, the pixel belonging to an image of a chronological sequence of images taken by the imaging device that includes background and foreground objects.
    Type: Grant
    Filed: February 28, 2019
    Date of Patent: July 7, 2020
    Assignee: UNIVERSITÉ DE LIÈGE
    Inventors: Marc Van Droogenbroeck, Marc Braham, Anthony Cioppa
  • Patent number: 10691980
    Abstract: Systems and methods are provided for automatic classification of multiple abnormalities that are visible in chest X-ray images. The systems and methods are based on a deep learning architecture that predicts, in addition to classification scores of abnormalities, lung/heart masks, and the location of certain abnormalities. By training a multi-task network to improve all the results, the network and the resulting abnormality classification is improved. Normalization of the chest X-ray images is also used to improve the accuracy and efficiency of the multi-task network.
    Type: Grant
    Filed: September 16, 2019
    Date of Patent: June 23, 2020
    Assignee: Siemens Healthcare GmbH
    Inventors: Sebastian Guendel, Florin-Cristian Ghesu, Eli Gibson, Sasa Grbic, Bogdan Georgescu, Dorin Comaniciu
  • Patent number: 10692193
    Abstract: The invention provides a saturation enhancement method and device based on fuzzy control. The saturation control method based on fuzzy control utilizes a fuzzy system to output an enhancement weight according to the saturation component, value component and detail information or saturation component, intensity component, and detail information of an input image, and feeds back the enhancement weight to the enhancement function, to change the enhancement intensity of the saturation component. As such, the color uncertainty caused by saturation enhancement can be avoided, and the loss of detail information in saturation enhancement can be reduced.
    Type: Grant
    Filed: September 6, 2018
    Date of Patent: June 23, 2020
    Assignee: SHENZHEN CHINA STAR OPTOELECTRONICS SEMICONDUCTOR DISPLAY TECHNOLOGY CO., LTD.
    Inventors: Yunna Chen, Shensian Syu
  • Patent number: 10692202
    Abstract: Photographs can sometimes be altered or changed in order to create photographs which appear to be of a scene which never took place, or did not take place at the place and time when the photograph is purported to have been taken. One way of circumventing known systems to detect this sort of falsified image is to take a photograph of a printed altered image. The present invention is a method of detecting such “photographs of photographs” by comparing two photographs of the same seen taken at the same time, with different exposures.
    Type: Grant
    Filed: September 18, 2018
    Date of Patent: June 23, 2020
    Assignee: SERELAY LIMITED
    Inventors: Roy Azoulay, Benjamin Huston, Clinton Montague
  • Patent number: 10679742
    Abstract: The invention relates to an image processing device (10) for processing diagnostic image data, comprising: a data input (11) for receiving vector-valued diagnostic image data and a quantification unit (12) for, for each pixel, determining a subset of identifiers, selected from a predetermined set of template identifiers, and determining for each identifier of the subset a quantification value indicative of a presence, proportion or significance in the pixel of a material or condition corresponding to the identifier. The device comprises a dictionary definition unit (14) for providing a dictionary that assigns an index to each unique identifier subset, and an image data encoder (16) for encoding the image data. The encoder is adapted for, for each pixel, calculating a bit sequence comprising a first set of bits encoding the index and further sets of bits encoding quantification values.
    Type: Grant
    Filed: May 17, 2018
    Date of Patent: June 9, 2020
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Shlomo Gotman, Nadav Hanan Shapira
  • Patent number: 10671050
    Abstract: A surveillance system may comprise one or more computing devices and one or more robotic surveillance devices. The one or more computing devices may be configured to obtain video data captured by one or more cameras. The one or more computing devices may analyze the video data to determine whether there is any trigger event. In response to determining that there is a trigger event, the one or more computing device may determine an optimal robotic surveillance device among the one or more robotic surveillance devices based on the trigger event and provide an instruction to the optimal robotic surveillance device. The optimal robotic surveillance device may be configured to perform a responding action in response to receiving the instruction.
    Type: Grant
    Filed: May 4, 2018
    Date of Patent: June 2, 2020
    Assignee: TURING VIDEO, INC.
    Inventors: Fang Wang, Song Cao
  • Patent number: 10657416
    Abstract: Methods and systems disclosed herein may quantify a representation of a type of input an image analysis system should expect. The image analysis system may be trained on the type of input the image analysis system should expect using a first image stream. A first model of the type of input that the image analysis system should expect may be built from the first image stream. After the first model is built, a second image, or a second image stream, may be compared to the first model to determine a difference between the second image, or second image stream, and the first image stream. When the difference is greater than or equal to a threshold, a drift may be detected and steps may be taken to determine the cause of the drift.
    Type: Grant
    Filed: July 17, 2019
    Date of Patent: May 19, 2020
    Assignee: Capital One Services, LLC
    Inventors: Keegan Hines, Christopher Bayan Bruss
  • Patent number: 10657417
    Abstract: The invention includes: a characteristic extraction unit for extracting facial characteristics of persons from moving image data; correspondence information extraction unit for extracting characteristic information corresponding to facial characteristics extracted by characteristic extraction unit from pre-stored characteristic information on faces of multiple persons; exclusion candidate setting unit for setting, to an exclusion candidate, characteristic information selected in accordance with an input of a user or a predetermined criterion among analogous characteristic information if multiple characteristic information extracted by the correspondence information extraction unit is analogous; and a person information output unit for displaying, on a display unit, information indicating a person corresponding to characteristic information extracted by the correspondence information extraction unit and set to the exclusion candidate by the exclusion candidate setting unit, as well as information indicating a
    Type: Grant
    Filed: December 1, 2017
    Date of Patent: May 19, 2020
    Assignee: AMBASS INC.
    Inventor: Hiroshi Nagayama
  • Patent number: 10650277
    Abstract: The present disclosure relates to apparatus and method for training a learning system to detect event. The present disclosure provides apparatus and method for training a learning system that includes an event related keyword collecting unit that collects an event related keyword inputted by a user, a related keyword collecting unit that collects at least one related keyword from a word database by transmitting an event related keyword to the word database, an event related image collecting unit that collects at least one event related image that is related to a search formula from an image database by transmitting the search formula to the image database, and a training unit that trains a learning system by communicating with the learning system with a use of an event related image as training data.
    Type: Grant
    Filed: October 20, 2017
    Date of Patent: May 12, 2020
    Assignees: CENTER FOR INTEGRATED SMART SENSORS FOUNDATION, KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY (KAIST)
    Inventors: Dong Su Han, Jin Woo Shin, Byeok San Lee, Jin Young Yang
  • Patent number: 10642864
    Abstract: Fast classification of data can be performed according to characteristics. In a clustering device (100), a data storage unit (300) stores a plurality of data sets. A cluster generation unit (400) generates an approximate line that approximates as many data sets as possible within a predetermined margin of error among the plurality of data sets in a space in which the plurality of data sets are arranged in accordance with data values. The cluster generation unit (400) generates a cluster by classifying the plurality of data sets based on the generated approximate line and outputs the generated cluster.
    Type: Grant
    Filed: March 3, 2015
    Date of Patent: May 5, 2020
    Assignee: NEC CORPORATION
    Inventor: Kentarou Yabuki
  • Patent number: 10641030
    Abstract: A computer-implemented method, including receiving, by a monitoring system that is configured to monitor a property and from a sensor of the monitoring system, sensor data, receiving video data, determining that a vehicle is in a vicinity of the property based on the sensor data and the video data, comparing frames of the video data to an image of a known vehicle, determining a confidence score that reflects a likelihood that the vehicle in the vicinity of the property matches the known vehicle, based on determining that the confidence score that reflects the likelihood that the vehicle in the vicinity of the property matches the known vehicle satisfies a confidence score threshold, identifying an action that is performed by the vehicle, identifying a monitoring system action that corresponds to the action performed by the vehicle, and performing the monitoring system action.
    Type: Grant
    Filed: August 29, 2018
    Date of Patent: May 5, 2020
    Assignee: Alarm.com Incorporated
    Inventors: Stephen Scott Trundle, Alison Jane Slavin, Bret Jutras
  • Patent number: 10634621
    Abstract: A learning procedure involves generating a non-defective product learning model by conducting machine learning using non-defective product data as teacher data, and generating a defective product learning model for each defect type by conducting machine learning for each defect type using defective product data as teacher data. A calculating procedure involves calculating the likelihood of a non-defective product from output data calculated using the non-defective product learning model to which target product data is input, and calculating the likelihood of a defective product for each defect type from output data calculated using the defective product learning model to which the target product data is input. A determining procedure involves determining that the target product data is data on a defective product having an unknown defect when the likelihood of a non-defective product and the likelihood of a defective product for each defect type satisfy a predetermined requirement.
    Type: Grant
    Filed: May 21, 2019
    Date of Patent: April 28, 2020
    Assignee: JTEKT CORPORATION
    Inventors: Masaaki Kano, Akiyoshi Nakase
  • Patent number: 10628978
    Abstract: Disclosed herein is a method and a system for processing input data for display in an optimal visualization format. The method includes receiving of the input data and identifying one or more visualization formats for displaying the input data based on preferences of the user. An optimal visualization format is identified by applying business rules on each of the identified visualization formats for displaying the input data in the optimal visualization format. In an embodiment, the instant disclosure helps in selecting a most relevant visualization format for displaying the input data. Also, one or more business interpretations and statistics related to the input data are displayed along with the input data, thereby helping users in analyzing and interpreting the input data.
    Type: Grant
    Filed: February 23, 2017
    Date of Patent: April 21, 2020
    Assignee: Wipro Limited
    Inventors: David Mayer, Sundar Ramakrishnan
  • Patent number: 10618313
    Abstract: A control apparatus for generating a control signal for controlling a printer on the basis of an input signal includes: a quantizer configured to generate the control signal by quantizing an intermediate signal generated by multiplication, performed by a first multiplier, of the input signal by a correction gain for controlling a correction amount for a print density error, together with subtraction, performed by a first calculator, from the input signal, of an error diffusion output signal output from a diffusion matrix that determines a distribution of the print density error; a second multiplier configured to multiply the control signal by an adjustment gain determined on the basis of the correction gain; and a second calculator configured to generate an error diffusion input signal to be input to the diffusion matrix on the basis of a signal output from the second multiplier.
    Type: Grant
    Filed: June 15, 2017
    Date of Patent: April 14, 2020
    Assignee: Kyocera Corporation
    Inventor: Yohei Funatsu
  • Patent number: 10621415
    Abstract: The present application discloses a facial image processing apparatus. The facial image processing apparatus includes a memory; and one or more processor. The memory and the at least one processor are communicatively connected with each other. The memory stores computer-executable instructions for controlling the one or more processors to automatically identify a facial feature from a facial image; automatically extract an image portion defining the facial feature from the facial image; perform a detail enhancement process on the image portion to obtain a detail-enhanced image portion corresponding to the image portion; and perform an image composition process to compose the detail-enhanced image portion and the facial image to obtain an enhanced facial image.
    Type: Grant
    Filed: April 24, 2017
    Date of Patent: April 14, 2020
    Assignee: BOE TECHNOLOGY GROUP CO., LTD.
    Inventors: Zhenglong Li, Lijie Zhang, Jingyu Zhang
  • Patent number: 10614736
    Abstract: The present invention concerns a method for assigning a pixel to one of a foreground pixel set and a background pixel set. In this method, if a first condition is met the pixel is assigned to the background pixel set, and if the first condition is not met and a second condition is met, the pixel is assigned to the foreground pixel set. The method comprises a step (S100) of calculating a probability that the pixel belongs to a foreground-relevant object according to a semantic segmentation algorithm, the first condition is that this probability that the pixel belongs to a foreground-relevant object does not exceed a first predetermined threshold, and the second condition is that a difference between this probability that the pixel belongs to a foreground-relevant object and a baseline probability for the pixel equals or exceeds a second predetermined threshold.
    Type: Grant
    Filed: May 18, 2018
    Date of Patent: April 7, 2020
    Assignee: UNIVERSITÉ DE LIÈGE
    Inventors: Marc Van Droogenbroeck, Marc Braham, Sébastien Pierard
  • Patent number: 10606888
    Abstract: There are disclosed methods and apparatus for manufacture of image inventories from frames of a digital work including audio which corresponds to objects in still images of the digital video work. Objects are detected in each frame's image, and the objects are recognized. Metadata is assigned to the objects, the object metadata linking audio from the digital video work to the corresponding object in the frame's image which produces the audio. For each frame, at least one cryptographic hash of the object metadata is generated, and the hash is written to a node of a transaction processing network.
    Type: Grant
    Filed: March 15, 2019
    Date of Patent: March 31, 2020
    Assignee: Eight Plus Ventures, LLC
    Inventors: Christoph Bertsch, Rodney Lake, Douglas Sturgeon, Anthony Sziklai
  • Patent number: 10607098
    Abstract: A key frame detector and method having input interface accepting multiple frames including a previous frame and a current frame, a programmable logic chip coupled to the input interface that receives a background frame, determines a similarity based on a comparison of the current frame with the background frame and discards the current frame if the similarity is greater than a predetermined similarity threshold, determines an absolute difference on a pixel by pixel basis between the current frame and the previous frame and discards the current frame if the absolute difference is less than a predetermined absolute difference threshold, determines a wholeness of an object in the current frame and discards the current frame if the object is not whole, determines whether the current frame with the whole object has been previously provisionally selected and discards if it has and analyzes the Whole object via an object detector.
    Type: Grant
    Filed: May 1, 2018
    Date of Patent: March 31, 2020
    Assignee: Aupera Technologies, Inc.
    Inventors: Xiaoxiang Liu, Fu Lai Zhao, Zhengning Zhou, Yu Feng Liao
  • Patent number: 10607182
    Abstract: One variation of a method for tracking stock level within a store includes: dispatching a robotic system to image shelving structures within the store during a scan cycle; receiving images from the robotic system, each image recorded by the robotic system during the scan cycle and corresponding to one waypoint within the store; identifying, in the images, empty slots within the shelving structures; identifying a product assigned to each empty slot based on product location assignments defined in a planogram of the store; for a first product of a first product value and assigned to a first empty slot, generating a first prompt to restock the first empty slot with a unit of the first product during the scan cycle; and, upon completion of the scan cycle, generating a global restocking list specifying restocking of a set of empty slots associated with product values less than the first product value.
    Type: Grant
    Filed: November 9, 2016
    Date of Patent: March 31, 2020
    Assignee: Simbe Robotics, Inc.
    Inventors: Mirza Akbar Shah, Bradley Bogolea, Jeffrey Gee
  • Patent number: 10592788
    Abstract: Described is a system for recognition of unseen and untrained patterns. A graph is generated based on visual features from input data, the input data including labeled instances and unseen instances. Semantic representations of the input data are assigned as graph signals based on the visual features. The semantic representations are aligned with visual representations of the input data using a regularization method applied directly in a spectral graph wavelets (SGW) domain. The semantic representations are then used to generate labels for the unseen instances. The unseen instances may represent unknown conditions for an autonomous vehicle.
    Type: Grant
    Filed: December 19, 2017
    Date of Patent: March 17, 2020
    Assignee: HRL Laboratories, LLC
    Inventors: Shay Deutsch, Kyungnam Kim, Yuri Owechko
  • Patent number: 10580057
    Abstract: A system and method for recommending clothing or apparel to a user. Activity of a user is detected in order to identify a set of items that are of interest to the user. One or more recommendation parameters may be determined for the used based at least in part on the individual items of clothing/apparel that are of interest to the user. Clothing/apparel content is selected for display to the user based on the recommendation parameters.
    Type: Grant
    Filed: May 1, 2017
    Date of Patent: March 3, 2020
    Assignee: Google LLC
    Inventors: Navneet Dalal, Salih Burak Gokturk, Lorant Szasz-Toth, Munjal Shah
  • Patent number: 10572767
    Abstract: A method includes receiving, with a computing system, a video item. The method further includes identifying a first set of features within a first frame of the video item. The method further includes identifying, with the computing system, a second set of features within a second frame of the video item, the second frame being subsequent to the first frame. The method further includes determining, with the computing system, differences between the first set of features and the second set of features. The method further includes assigning a clip category to a clip extending between the first frame and the second frame based on the differences.
    Type: Grant
    Filed: April 12, 2017
    Date of Patent: February 25, 2020
    Assignee: Netflix, Inc.
    Inventor: Apurvakumar D. Kansara
  • Patent number: 10572111
    Abstract: A facial image that a user desires to look for from among a plurality of detected facial image displayed in a first facial image display area is clicked, and the clicked facial image is displayed in a third facial image display area. A facial image that is similar to the facial image displayed in the third facial image display area and is suitable for printing is looked for among from the plurality of detected facial image displayed in the first facial image display area, and displayed in a second facial image display area. The user clicks the facial image of the person which the user desires to look for from among the facial images displayed in the second facial image display area. The clicked facial image is displayed in the third facial image display area.
    Type: Grant
    Filed: June 30, 2017
    Date of Patent: February 25, 2020
    Assignee: FUJIFILM Corporation
    Inventors: Koji Yokouchi, Xuebin Hu, Hideo Segawa
  • Patent number: 10572465
    Abstract: Aspects of the present invention are directed to system and methods for optimizing identification of locations within a search area using hash values. A hash value represents location information in a single dimension format. Computing points around some location includes calculating an identification boundary that surrounds the location of interest based on the location's hash value. The identification boundary is expanded until it exceeds a search area defined by the location and a distance. Points around the location can be identified based on having associated hash values that fall within the identification boundary. Hashing operations let a system reduce the geometric work (i.e. searching inside boundaries) and processing required, by computing straightforward operations on hash quantities (e.g. searching a linear range of geohashes), instead of, for example, point to point comparisons.
    Type: Grant
    Filed: April 7, 2017
    Date of Patent: February 25, 2020
    Assignee: MongoDB, Inc.
    Inventors: Dwight Merriman, Eliot Horowitz
  • Patent number: 10565472
    Abstract: In embodiments of event image curation, a computing device includes memory that stores a collection of digital images associated with a type of event, such as a digital photo album of digital photos associated with the event, or a video of image frames and the video is associated with the event. A curation application implements a convolutional neural network, which receives the digital images and a designation of the type of event. The convolutional neural network can then determine an importance rating of each digital image within the collection of the digital images based on the type of the event. The importance rating of a digital image is representative of an importance of the digital image to a person in context of the type of the event. The convolutional neural network generates an output of representative digital images from the collection based on the importance rating of each digital image.
    Type: Grant
    Filed: March 26, 2018
    Date of Patent: February 18, 2020
    Assignee: Adobe Inc.
    Inventors: Zhe Lin, Yufei Wang, Radomir Mech, Xiaohui Shen, Gavin Stuart Peter Miller
  • Patent number: 10540563
    Abstract: A method for recognizing a picture, a method and an apparatus for labelling a picture, and a storage medium. The method for recognizing a picture comprises: acquiring a clothes picture labelled with a positioning key point and a clothes wearing region (S310); extracting, based on the locations of the clothes wearing region and the positioning key point, at least one picture region representing a feature region from the clothes picture (S320); and respectively acquiring feature information representing the feature region based on a region feature recognition model corresponding to the feature region (S330). By labelling the positioning key point, a picture representing a clothes content in the clothes picture is positioned, so that the interference of a background content in the clothes picture is reduced.
    Type: Grant
    Filed: December 10, 2015
    Date of Patent: January 21, 2020
    Assignee: Baidu Online Network Technology (Beijing) Co., Ltd.
    Inventors: Xianglong Meng, Guoyi Liu, Shumin Han, Canxiang Yan, Yuning Du
  • Patent number: 10515457
    Abstract: An image collation system comprising: a detection unit that detects an object from an image acquired by imaging a predetermined position using an imaging unit; a tracking unit that tracks an object image of the same object; a selection unit that calculates an evaluated value for each of the object images of the same object and selects the object image of which the evaluated value is equal to or greater than a predetermined value as a best shot image; a collation unit that performs a collation process of collating the best shot image with a registered image and determining whether the object present at the predetermined position is a previously registered object; and a display that displays a performance result of the collation process, the image collation system including a storage unit that stores the best shot image; and a preparation unit that updates or re-prepares an evaluation expression that calculates the evaluated value.
    Type: Grant
    Filed: September 6, 2017
    Date of Patent: December 24, 2019
    Assignees: Kabushiki Kaisha Toshiba, Toshiba Infrastructure Systems & Solutions Corporation
    Inventors: Kota Saito, Yusuke Tazoe, Hiroo Saito, Hiroshi Sukegawa
  • Patent number: 10504282
    Abstract: Techniques for generating maps without shadows are discussed herein. A plurality of images can be captured by a vehicle traversing an environment representing various perspectives and/or lighting conditions in the environment. A shadow within an image can be identified by a machine learning algorithm trained to detect shadows in images and/or by projecting the image onto a three-dimensional (3D) map of the environment and identifying candidate shadow regions based on the geometry of the 3D map and the location of the light source. Shadows can be removed or minimized by utilizing blending or duplicating techniques. Color information and reflectance information can be added to the 3D map to generate a textured 3D map. A textured 3D map without shadows can be used to simulate the environment under different lighting conditions.
    Type: Grant
    Filed: March 21, 2018
    Date of Patent: December 10, 2019
    Assignee: Zoox, Inc.
    Inventors: Jesse Sol Levinson, Ashutosh Gajanan Rege, Brice Rebsamen, Elena Stumm, Nitesh Shroff, Derek Adams
  • Patent number: 10495884
    Abstract: Method and system for enhancing visual perception of augmented reality presentation. Location and line-of-sight (LOS) of user wearing see-through head-mounted display (HMD) is detected. A background environment viewed through HMD is determined based on detected location and LOS. Color-attribute(s) of background environment at background location corresponding to user LOS is determined and compared with color-attribute(s) of foreground supplementary image to be displayed on HMD overlaid onto background environment at background location. When an incompatibility condition is detected, visual parameter(s) of supplementary image is adjusted to minimize incompatibility. Color-attribute determination may use information obtained from users previously at background environment, and may be based on user perception resulting from interactions of: geographic location, time when background environment viewed, and user LOS.
    Type: Grant
    Filed: November 9, 2018
    Date of Patent: December 3, 2019
    Assignee: Elbit Systems Ltd.
    Inventors: Gil Benesh, Yoav Ophir
  • Patent number: 10489684
    Abstract: Apparatuses and methods for image processing are provided. The image processing apparatus performs area classification and object detection in an image, and includes a feature map generator configured to generate the feature map of the input image using the neural network, and an image processor configured to classify the areas and to detect the objects in the image using the generated feature map.
    Type: Grant
    Filed: September 21, 2016
    Date of Patent: November 26, 2019
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Hyun Jin Choi, Chang Hyun Kim, Eun Soo Shim, Dong Hwa Lee, Ki Hwan Choi
  • Patent number: 10489660
    Abstract: A computer-implemented method to identify an object in a video is disclosed. The method may include obtaining a video and receiving an indication of one or more foreground regions in the video from a user module based on a user selection within the user module. The method may also include receiving an indication of one or more regions of interest in the foreground regions from the user module based on a user selection within the user module. The method may include determining a human potential size in a plurality of locations in the one or more regions of interest. The method may include generating a background model based on a plurality of frames of the video. The method may also include tracking an object in the one or more regions of interest based on the background model. The method may include identifying the object as a predicted human based on the human potential size.
    Type: Grant
    Filed: January 23, 2017
    Date of Patent: November 26, 2019
    Assignee: WIZR LLC
    Inventors: Song Cao, Genquan Duan
  • Patent number: 10482091
    Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide a unified digital content discovery framework that implements a combination of a logistic loss function and a pair-wise loss function for information retrieval. The logistic loss function reduces non-relevant images from appearing in the retrieved results, while the pair-wise loss function ensures that the highest-quality content is included in such results.
    Type: Grant
    Filed: March 18, 2016
    Date of Patent: November 19, 2019
    Assignee: OATH INC.
    Inventors: Yunlong He, Dawei Yin, Yi Chang
  • Patent number: 10482899
    Abstract: An audio system has a housing in which are integrated a number of microphones. A programmed processor accesses the microphone signals and produces a number of acoustic pick up beams based groups of microphones, an estimation of voice activity and an estimation of noise characteristics on each beam. Two or more beams including a voice beam that is used to pick up a desired voice and a noise beam that is used to provide information to estimate ambient noise are adaptively selected from among the plurality of beams, based on thresholds for voice separation and thresholds for noise-matching. Other embodiments are also described and claimed.
    Type: Grant
    Filed: August 1, 2016
    Date of Patent: November 19, 2019
    Assignee: Apple Inc.
    Inventors: Sean A. Ramprashad, Esge B. Andersen, Joshua D. Atkins, Sorin V. Dusan, Vasu Iyengar, Tarun Pruthi, Lalin S. Theverapperuma
  • Patent number: 10467506
    Abstract: A cardzi display system has software and related hardware that collects images of cards owned by a user by gift or purchase, organizes and shares them. The system has a load screen, a bottom menu, a tutorial function, a log-in and registration screen, a feed, a library, a capture function, an invitation function, and a viewer. The bottom menu leads to the tutorial, the capture function, the library, the feed, and user profile. The log-in screen has a user register initially and later to enter the invention. The feed provides sharing, organizing, and searching of images, and comment capability. The library stores card images captured by a user's camera and then later displayed on the viewer. Upon seeing a cardzi, a user may have others to view it through the invitation function. The system may include a printer configured to print cardzis remotely.
    Type: Grant
    Filed: September 13, 2017
    Date of Patent: November 5, 2019
    Inventor: Christopher B. Tyrrell
  • Patent number: 10467226
    Abstract: A system, method, and computer-readable medium for performing in-database operations, comprising: presenting an automation interface to a user, the user interface automation interface enabling a user to select one or more key performance indicators; instantiating an in-database processing operation, the in-database processing operation performing feature selection from a high dimensional parameter space; executing at least one database statement within the storage system to derive a subset of diagnostic parameters from the high dimensional parameter space.
    Type: Grant
    Filed: April 27, 2016
    Date of Patent: November 5, 2019
    Assignee: TIBCO SOFTWARE INC
    Inventors: Thomas Hill, Vladimir S. Rastunkov, George R. Butler
  • Patent number: 10460232
    Abstract: A method and an apparatus are described to classify data. The method and apparatus includes selecting a hypothesis class among entire classes. The method and corresponding apparatus generate output data with regard to the entire classes by applying a classification algorithm to input data, and modify the input data to increase a value of the hypothesis class among the output data in response to a re-classification condition being met. The modified input data is set to be new input data.
    Type: Grant
    Filed: November 18, 2015
    Date of Patent: October 29, 2019
    Assignee: Samsung Electronics Co., Ltd.
    Inventor: Keun Joo Kwon
  • Patent number: 10445387
    Abstract: Systems and methods are provided for identifying and recommending electronic content to consumers. In accordance with an implementation, one or more elements of electronic content are identified based on video graph data. In an exemplary method, information associated with a first element of video content is received, and corresponding video graph data is obtained. One or more second elements of video content that are similar to the first element of video content are identified based on the obtained video graph data. A subset the first and second elements of video content is subsequently identified for delivery to the user.
    Type: Grant
    Filed: May 22, 2017
    Date of Patent: October 15, 2019
    Assignee: Oath Inc.
    Inventors: Peter Kocks, Guoning Hu, Ping-Hao Wu
  • Patent number: 10445623
    Abstract: Systems and techniques are disclosed for labeling objects within an image. The objects may be labeled by selecting an option from a plurality of options such that each option is a potential label for the object. An option may have an option score associated with. Additionally, a relation score may be calculated for a first option and a second option corresponding to a second object in an image. The relation score may be based on a frequency, probability, or observance corresponding to the co-occurrence of text associated with the first option and the second option in a text corpus such as the World Wide Web. An option may be selected as a label for an object based on a global score calculated based at least on an option score and relation score associated with the option.
    Type: Grant
    Filed: April 14, 2017
    Date of Patent: October 15, 2019
    Assignee: Google LLC
    Inventors: Samy Bengio, Jeffrey Adgate Dean, Quoc V. Le, Jonathon Shlens, Yoram Singer
  • Patent number: 10445694
    Abstract: Systems and techniques are provided for tracking inventory items in an area of real space including inventory display structures. A plurality of cameras are disposed above the inventory display structures. The cameras in the plurality of cameras produce respective sequences of images in corresponding fields of view in the real space. A memory stores a map of the area of real space identifying inventory locations on inventory display structures. The system is coupled to a plurality of cameras and uses the sequences of images produced by at least two cameras in the plurality of cameras to find a location of an inventory event in three dimensions in the area of real space. The system matches the location of the inventory event with an inventory location.
    Type: Grant
    Filed: January 24, 2019
    Date of Patent: October 15, 2019
    Assignee: Standard Cognition, Corp.
    Inventors: Jordan E. Fisher, Daniel L. Fischetti, Nicholas J. Locascio
  • Patent number: 10445783
    Abstract: Target audience content interaction techniques are described. In one or more implementations, a plurality of content is quantified by one or more computing devices as a content feature representation for each of the plurality of content. A plurality of content feature clusters are generated by the one or more computing devices based at least in part on similarity of the content feature representations, one to another. Content cluster interaction data is also created by the one or more computing devices that describes interaction of each of a plurality of users with the plurality of content. A plurality of user interaction clusters are calculated from the content cluster interaction data by the one or more computing devices based at least in part on similarity of the content cluster interaction data of the plurality of users, one to another. The calculated plurality of user interaction clusters are employed by the one or more computing devices to determine content preferences of a target audience.
    Type: Grant
    Filed: November 19, 2014
    Date of Patent: October 15, 2019
    Assignee: Adobe Inc.
    Inventors: Shivani Gupta, Gaurush Hiranandani, Anshul Agrawal, Charanjit Singh Ghai
  • Patent number: 10445569
    Abstract: Approaches provide for recognizing and locating text represented in image data. For example, image data that includes representations of text can be obtained. A width-focused recognition engine can be configured to analyze the image data to determine a base-set of words. The base-set of words can be associated with logical structure information that describes a geometric relationship between words in the base-set of words. A set of bounding boxes that includes one or more base words can be determined, as well as a confidence value for each base word. A depth-focused recognition engine can be configured to analyze the image data to determine a focused-set of words, the focused-set of words associated with a set of bounding boxes and confidence values for respective words. A set of merged words can be determined from a set of overlapping bounding boxes that overlap a threshold amount.
    Type: Grant
    Filed: August 30, 2016
    Date of Patent: October 15, 2019
    Assignee: A9.COM, INC.
    Inventors: Xiaofan Lin, Son Dinh Tran
  • Patent number: 10445608
    Abstract: A method, a device, and a computer program product for identifying objects in image data. The device is enabled to, in response to determining that an object type of a first set of object types is represented in the image data, indicate that the object type is represented in captured image data. The device is further enabled to, in response to determining that no object type of the first set of object types is represented in the image data, determine whether the image data comprises an object characteristic of a specific one of a second set of object types. The device is further enabled to, in response to determining that the image data comprises an object characteristic of the specific one of the second set of object types, indicate that the image data comprises an object characteristic of the specific one of the second set of object types.
    Type: Grant
    Filed: October 25, 2017
    Date of Patent: October 15, 2019
    Assignee: Motorola Mobility LLC
    Inventors: Mina Kim, Rahul B. Desai, Rohan S. Prabhu, Kevin O. Foy
  • Patent number: 10437831
    Abstract: A computerized system for recursively detecting anomalies in monitored behavior of entities. The system comprises a storage unit to store monitored events, event deviations and parameters related to each event and to each event deviation. The system comprises a processing unit configured to receive a plurality of input events, construct a plurality of baseline models, receive an input event that occurred during an analyzed timeframe, compare parameters of the received input event to a corresponding baseline model in order to detect an event deviation, and associate an event deviation score to the detected event deviation. Using the detected event deviation as an input event, said operations are repeated until a predetermined condition is satisfied, and an alert is generated, indicating suspicious activity has been detected. A viewer application configured to receive and display alerts relating to the detected event deviation is provided.
    Type: Grant
    Filed: March 13, 2016
    Date of Patent: October 8, 2019
    Assignee: EMC IP Holding Company LLC
    Inventors: Yaron De-Levie, Ori Mendelson, Idan Peretz, Sagi Hilleli, Guy Eisenkot