Patents Examined by Iman K Kholdebarin
  • Patent number: 10979597
    Abstract: An image processing apparatus is provided with a converter to convert a first color image into lightness information and color information other than the lightness information, a lightness compressor to generate compressed lightness information obtained by decimating a pixel value from the lightness information, a reconverter to combine the compressed lightness information and the color information to generate a second color image, an edge extractor to extract an edge included in the first color image, and a pixel value changer to change a pixel value at a position of the edge in the second color image while maintaining similar colors, to generate a third color image.
    Type: Grant
    Filed: May 22, 2017
    Date of Patent: April 13, 2021
    Assignee: Dai Nippon Printing Co., Ltd.
    Inventor: Naoki Takizawa
  • Patent number: 10962416
    Abstract: A color conversion system includes a first colorimetric input machine having a first color gamut and performing colorimetry of an object to output a first colorimetric value; an input portion to which the first colorimetric value is input; a converting portion converting the first colorimetric value to a second colorimetric value; and an output portion outputting the second colorimetric value. The converting portion stores a first colorimetric value table having color information about each measurement light source used when performing colorimetry by the first colorimetric input machine, and a second colorimetric value table having color information about each measurement light source used when performing colorimetry by a second colorimetric device having a second color gamut, and converts the first colorimetric value to the second colorimetric value by causing colorimetric values of the first colorimetric value table to correspond to colorimetric values of the second colorimetric value table.
    Type: Grant
    Filed: June 30, 2017
    Date of Patent: March 30, 2021
    Assignee: PROSPER CREATIVE CO., LTD.
    Inventors: Hideki Kawabata, Akira Kijima
  • Patent number: 10963792
    Abstract: A method for training a deep learning network based on artificial intelligence is provided. The method includes steps of: a learning device (a) inputting unlabeled data into an active learning network to acquire sub unlabeled data and inputting the sub unlabeled data into an auto labeling network to generate new labeled data; (b) allowing a continual learning network to sample the new labeled data and existing labeled data to generate a mini-batch, and train the existing learning network using the mini-batch to acquire a trained learning network, wherein part of the mini-batch are selected by referring to specific existing losses; and (c) (i) allowing an explainable analysis network to generate insightful results on validation data and transmit the insightful results to a human engineer to transmit an analysis of the trained learning network and (ii) modifying at least one of the active learning network and the continual learning network.
    Type: Grant
    Filed: December 4, 2020
    Date of Patent: March 30, 2021
    Assignee: STRADVISION, INC.
    Inventors: Kye-Hyeon Kim, Hongmo Je, Bongnam Kang, Wooju Ryu
  • Patent number: 10950014
    Abstract: An apparatus and method are provided to correct motion artifacts in magnetic resonance imaging (MRI) data by finding and removing motion-corrupted encodes. The MRI data non-uniformly sample k-space using a series of shots, each including one or more encodes. The motion-corrupted encodes/shots are identified by omitting respective encodes/shots from the MRI data when reconstructing respective images using a compressed-sensing (CS) method. The image quality is improved for those reconstructed images in which the motion-corrupted encodes are omitted, whereas all other images include the motion-corrupted encodes and exhibit the motion artifact. Assuming a minority of encodes/shots are corrupted by motion, the images improved by omitting the motion-corrupted encodes can be identified as outliers. Once, the motion-corrupted encodes are identified and excluded from the final MRI dataset, a final, high-resolution image is reconstructed using the final MRI dataset.
    Type: Grant
    Filed: March 1, 2019
    Date of Patent: March 16, 2021
    Assignee: CANON MEDICAL SYSTEMS CORPORATION
    Inventors: Andrew J. Wheaton, Antonios Matakos
  • Patent number: 10937186
    Abstract: Advanced driver assistance (ADAS) systems and methods for a vehicle comprise capturing an image using a monocular camera system of the vehicle and detecting a landmark in the image using a deep neural network (DNN) trained with labeled training data including generating a bounding box for the detected landmark, predicting a depth of pixels in the image using a convolutional neural network (CNN) trained with unlabeled training data captured by a stereo camera system, filtering noise by averaging predicted pixel depths for pixels in the region of the bounding box to obtain an average depth value for the detected landmark, determining a coordinate position of the detected landmark using its average depth value, and performing at least one ADAS feature using the determined coordinate position of the detected landmark.
    Type: Grant
    Filed: December 19, 2018
    Date of Patent: March 2, 2021
    Assignee: FCA US LLC
    Inventors: Zijian Wang, Stephen Horton
  • Patent number: 10929645
    Abstract: In an image processing apparatus, a face detection unit detects a face area from an input image, and an image processing unit extracts a high luminance area from the face area to generate a correction amount of the high luminance area and corrects the high luminance area using the correction amount. Then, in a case where a plurality of face areas is detected, the image processing unit adjusts the correction amount based on feature information of the plurality of face areas.
    Type: Grant
    Filed: May 15, 2018
    Date of Patent: February 23, 2021
    Assignee: CANON KABUSHIKI KAISHA
    Inventor: Masahiro Takayama
  • Patent number: 10922794
    Abstract: The present disclosure relates to an image correction method and device. The method includes detecting an input image to obtain boundary straight lines. The method includes determining vertices based on the obtained boundary straight line. The method includes determining an estimated height-to-width ratio based on the obtained vertices. The method includes performing perspective transformation on the input image based on the estimated height-to-width ratio.
    Type: Grant
    Filed: December 21, 2018
    Date of Patent: February 16, 2021
    Assignee: BOE TECHNOLOGY GROUP CO., LTD.
    Inventors: Tingting Wang, Xiaojun Tang
  • Patent number: 10921406
    Abstract: In a magnetic resonance fingerprinting method and apparatus for improved determination of local parameter values of an examination object, in which at least two signal comparisons of acquired picture element time series are carried out with comparison signal curves for determination of parameter values. A further (subsequent) signal comparison takes into account results of a preceding signal comparison. This multi-stage determination of parameter values allows an increase of the spatial resolution and the precision with which the parameter values can be determined.
    Type: Grant
    Filed: June 14, 2019
    Date of Patent: February 16, 2021
    Assignee: Siemens Healthcare GmbH
    Inventors: Mathias Nittka, Gregor Koerzdoerfer, Josef Pfeuffer
  • Patent number: 10922798
    Abstract: An image processing apparatus is provided. The image processing apparatus according to an exemplary embodiment includes a communicator configured to receive an image, and a processor configured to generate a first image obtained by performing image processing on the received image by using a parameter for image processing, generate a second image obtained by reducing the first image at a predetermined ratio, and extract respective visual features from the first image and the second image, wherein the processor is further configured to adjust the parameter to allow a difference between the visual feature of the first image and the visual feature of the second image to be within a predetermined range.
    Type: Grant
    Filed: September 4, 2018
    Date of Patent: February 16, 2021
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Il-Jun Ahn, Ki-Heum Cho, Yong-Sup Park, Jae-Yeon Park, Hee-Seok Oh, Tammy Lee, Min-Su Cheon
  • Patent number: 10915798
    Abstract: Disclosed herein are embodiments of systems, methods, and products for a webly supervised training of a convolutional neural network (CNN) to predict emotion in images. A computer may query one or more image repositories using search keywords generated based on the tertiary emotion classes of Parrott's emotion wheel. The computer may filter images received in response to the query to generate a weakly labeled training dataset labels associated with the images that are noisy or wrong may be cleaned prior to training of the CNN. The computer may iteratively train the CNN leveraging the hierarchy of emotion classes by increasing the complexity of the labels (tags) for each iteration. Such curriculum guided training may generate a trained CNN that is more accurate than the conventionally trained neural networks.
    Type: Grant
    Filed: May 15, 2018
    Date of Patent: February 9, 2021
    Assignee: Adobe Inc.
    Inventors: Jianming Zhang, Rameswar Panda, Haoxiang Li, Joon-Young Lee, Xin Lu
  • Patent number: 10909417
    Abstract: Provided are a proposals processing method and related products for object detection, where the method comprising: determining a score threshold according to a statistics property of scores of a first quantity of proposal; selecting a second quantity of proposals with a score higher than the score threshold from the first quantity of proposals; and suppressing to the second quantity of proposals to get a third quantity of non-overlapping proposals with high scores, as such, time complexity for selecting a second quantity of proposals is reduced, and efficiency for selection of the proposals to be used for suppression is improved, thereby improving proposal processing efficiency and object detection efficiency.
    Type: Grant
    Filed: May 10, 2019
    Date of Patent: February 2, 2021
    Assignee: HANGZHOU FABU TECHNOLOGY CO.. LTD.
    Inventors: Xiaofei He, Abinash Mohanty, Yu Cao, Yong Xiao
  • Patent number: 10902056
    Abstract: Processing an image includes acquiring, by the image processing apparatus, a target image, extracting a shape of a target object included in the target image, determining a category including the target object based on the extracted shape, and storing the target image by mapping the target image with additional information including at least one keyword related to the category.
    Type: Grant
    Filed: March 30, 2017
    Date of Patent: January 26, 2021
    Assignees: Samsung Electronics Co., Ltd., Seoul National University R&DB Foundation
    Inventors: Seong-taek Hwang, Sang-doo Yun, Ha-wook Jeong, Jin-young Choi, Byeong-ho Heo, Woo-sung Kang
  • Patent number: 10902252
    Abstract: Systems, methods and computer program products for image recognition in which instructions are executable by a processor to dynamically generate simulated documents and corresponding images, which are then used to train a fully convolutional neural network. A plurality of document components are provided, and the processor selects subsets of the document components. The document components in each subset are used to dynamically generate a corresponding simulated document and a simulated document image. The convolutional neural network processes the simulated document image to produce a recognition output. Information corresponding to the document components from which the image was generated is used as an expected output. The recognition output and expected output are compared, and weights of the convolutional neural network are adjusted based on the differences between them.
    Type: Grant
    Filed: July 13, 2018
    Date of Patent: January 26, 2021
    Assignee: OPEN TEXT CORPORATION
    Inventors: Arnaud Gilles Flament, Christopher Dale Lund, Guillaume Bernard Serge Koch, Denis Eric Goupil
  • Patent number: 10902649
    Abstract: A reconstruction processing method. The method includes an image updating step (Step S2) of updating a reconstruction image by an iterative approximation method, and a weighting coefficient map updating step (Step S4). In the weighting coefficient map updating step, a weighting coefficient map relative to prior knowledge is generated from the reconstruction image obtained by updating an image in the image updating step (Step S2), and a weighting coefficient of the prior knowledge relative to each pixel is controlled in accordance with the weighting coefficient map, whereby a weighting coefficient map is updated. As described above, the weighting coefficient map relative to the prior knowledge is generated from the reconstruction image (during estimation) obtained by updating the image, and the weighting coefficient of the prior knowledge relative to each pixel is controlled in accordance with the weighting coefficient map.
    Type: Grant
    Filed: March 11, 2016
    Date of Patent: January 26, 2021
    Assignee: Shimadzu Corporation
    Inventor: Kenta Chinomi
  • Patent number: 10902236
    Abstract: An apparatus may include an ultrasonic sensor array, a light source system and a control system. Some implementations may include an ultrasonic transmitter. The control system may be operatively configured to control the light source system to emit light that induces acoustic wave emissions inside a target object. The control system may be operatively configured to select a first acquisition time delay for the reception of acoustic wave emissions primarily from a first depth inside the target object. The control system may be operatively configured to acquire first ultrasonic image data from the acoustic wave emissions received by the ultrasonic sensor array during a first acquisition time window. The first acquisition time window may be initiated at an end time of the first acquisition time delay.
    Type: Grant
    Filed: March 27, 2019
    Date of Patent: January 26, 2021
    Assignee: QUALCOMM Incorporated
    Inventors: Yipeng Lu, David William Burns
  • Patent number: 10902243
    Abstract: A facial recognition method using online sparse learning includes initializing target position and scale, extracting positive and negative samples, and extracting high-dimensional Haar-like features. A sparse coding function can be used to determine sparse Haar-like features and form a sparse feature matrix, and the sparse feature matrix in turn is used to classify targets.
    Type: Grant
    Filed: October 24, 2017
    Date of Patent: January 26, 2021
    Assignee: DEEP NORTH, INC.
    Inventors: Jinjun Wang, Shun Zhang, Rui Shi
  • Patent number: 10896323
    Abstract: The present disclosure relates to an image processing method and device, a computer readable storage medium, and an electronic device. The method includes: acquiring an image to be processed; detecting a foreground target of the image, and recognizing the foreground target, to obtain a foreground classification result; detecting a background area of the image, and recognizing the background area, to obtain a background classification result; and obtaining a classification label of the image based on the foreground classification result and the background classification result.
    Type: Grant
    Filed: March 8, 2019
    Date of Patent: January 19, 2021
    Assignee: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP., LTD.
    Inventor: Yan Chen
  • Patent number: 10891497
    Abstract: The present disclosure provides devices, systems and methods for mapping of traffic boundaries.
    Type: Grant
    Filed: March 22, 2019
    Date of Patent: January 12, 2021
    Assignee: NETRADYNE, INC.
    Inventors: Jonathan Albert Cox, Veeresh Taranalli, David Jonathan Julian, Badugu Naveen Chakravarthy, Michael Campos, Adam David Kahn, Venkata Ramanan Venkatachalam Jayaraman, Arvind Yedla
  • Patent number: 10885310
    Abstract: Systems and methods for object recognition and association with an identity are disclosed. Systems and methods for object recognition and association with an identity are disclosed. In one embodiment, in an information processing apparatus comprising at least one computer processor, a method for object recognition and association with an identity may include: (1) receiving, from a first image capture device at a facility, a first image or a video; (2) recognizing, in the first image or video, an individual having a physical characteristic and an object in proximity to the individual; (3) associating the physical characteristic and the object with the individual; and (4) storing the association in a database.
    Type: Grant
    Filed: August 17, 2018
    Date of Patent: January 5, 2021
    Assignee: JPMORGAN CHASE BANK, N.A.
    Inventor: Jeffrey Dean Mathwig
  • Patent number: 10885380
    Abstract: Some implementations can include a computer-implemented method and/or system for automatic suggestion to share images. The method can include identifying a plurality of images associated with a user and detecting one or more entities in the plurality of images. The method can also include constructing an aggregate feature vector for the plurality of images based on the one or more entities in the plurality of images and determining that the aggregate feature vector matches a first cluster. The method can further include, in response to determining that the aggregate feature vector matches the first cluster, providing a suggestion to the user for an image composition based on the plurality of images.
    Type: Grant
    Filed: October 3, 2019
    Date of Patent: January 5, 2021
    Assignee: Google LLC
    Inventors: Teresa Ko, Loren Puchalla Fiore, Jason Chang, Catherine Wah