Patents Examined by Amandeep Saini
  • Patent number: 10993603
    Abstract: Provided are an image processing device, an image processing method, and an endoscope system that can reduce a burden on a user. A parallax amount adjustment unit adjusts the parallax amount of a three-dimensional (3D) biological image of an imaged living organism, depending on whether the parallax of the 3D biological image puts a burden on a user.
    Type: Grant
    Filed: November 27, 2019
    Date of Patent: May 4, 2021
    Assignee: SONY CORPORATION
    Inventors: Hisakazu Shiraki, Koji Kashima, Toru Mitome
  • Patent number: 10993688
    Abstract: Method of data processing for Computed Tomography from a spectral image data set of an imaged zone, an anatomical image data set of the imaged zone, and an anatomical model, comprising: a. Assigning an initial set of values to a regularization scheme, 5 b. Performing a noise reduction scheme on the spectral image data set, wherein said noise reduction scheme is a function of the regularization scheme, of the spectral image data set and of the anatomical image data set, in order to obtain a processed spectral image data set, c. Performing a segmentation of structures of interest using the anatomical data set, the processed spectral image data set, and the anatomical model, in order to obtain a segmentation result, d. Updating the regularization scheme based on the segmentation result, e.
    Type: Grant
    Filed: December 7, 2016
    Date of Patent: May 4, 2021
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Raz Carmi, Liran Goshen, Mordechay Pinchas Freiman
  • Patent number: 10999607
    Abstract: The present principles are directed to a parameterized OETF/EOTF for processing images and video. The present principles provide a method for encoding a picture, comprising: applying a parameterized transfer function to a luminance (L) signal of the picture to determine a resulting V(L) transformed signal; encoding the resulting V(L); wherein the parameterized transfer function is adjusted based on a plurality of parameters to model one of a plurality of transfer functions. The present principles also provide for a method for decoding a digital picture, the method comprising: receiving the digital picture; applying a parameterized transfer function to the digital picture to determine a luminance (L) signal of the digital picture, the parameterized transfer function being based on a plurality of parameters; wherein the parameterized transfer function is adjusted based on a plurality of parameters to model one of a plurality of transfer functions.
    Type: Grant
    Filed: January 26, 2016
    Date of Patent: May 4, 2021
    Assignee: INTERDIGITAL MADISON PATENT HOLDINGS, SAS
    Inventors: Erik Reinhard, Pierre Andrivon, Philippe Bordes, Christophe Chevance, Jurgen Stauder, Patrick Morvan, Edouard Francois, Joaquin Zepeda Salvatierra
  • Patent number: 10997691
    Abstract: The present application discloses a method of interpolating an image including a pixel array formed of multiple pixels. The method includes: determining a position of an interpolation point relative to the pixel array; determining weights of an edge direction of the pixel array at the position of the interpolation point in a plurality of preset edge directions based on pixel values of a plurality of pixels adjacent to the interpolation point; selecting, for each preset edge direction, one or more corresponding pixel sub-arrays covering the interpolation point from the pixel array to calculate an interpolation pixel value of the interpolation point; calculating a weighted interpolation pixel value of the interpolation point based on the weights of the edge direction of the pixel array at the position of the interpolation point in the preset edge directions and the interpolation pixel value of the interpolation point corresponding to each preset edge direction.
    Type: Grant
    Filed: December 26, 2018
    Date of Patent: May 4, 2021
    Assignee: MONTAGE LZ TECHNOLOGIES (CHENGDU) CO., LTD.
    Inventors: Mengchi He, Binxuan Sun, Ke Wu, Chia Chen Chang
  • Patent number: 10997710
    Abstract: The present disclosure describes methods, systems, and articles of manufacture for performing a defect inspection of a die image using adaptive care areas (ACAs). The use of ACAs solve the problem of handling rotations of components that require rotating care areas; handling the situation where each care area requires its own rotation, translation, or affine transformation; and the situation of decoupling intensity differences caused by defects or process variation from intensity differences caused by size variations.
    Type: Grant
    Filed: October 12, 2018
    Date of Patent: May 4, 2021
    Assignee: KLA-Tencor Corporation
    Inventors: Himanshu Vajaria, Jan Lauber, Yong Zhang
  • Patent number: 10991074
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing images using an image processing neural network system. One of the systems includes a domain transformation neural network implemented by one or more computers, wherein the domain transformation neural network is configured to: receive an input image from a source domain; and process a network input comprising the input image from the source domain to generate a transformed image that is a transformation of the input image from the source domain to a target domain that is different from the source domain.
    Type: Grant
    Filed: June 14, 2019
    Date of Patent: April 27, 2021
    Assignee: Google LLC
    Inventors: Konstantinos Bousmalis, Nathan Silberman, David Martin Dohan, Dumitru Erhan, Dilip Krishnan
  • Patent number: 10991129
    Abstract: Systems and methods for projecting a color onto a surface are provided. The method includes selecting, using an application on a mobile electronic device, a color from a list of one or more colors, identifying a color of a surface onto which the selected color is to be projected, and determining, using a processor, a color of light to be projected onto the surface such that the color of light, in conjunction with the color of the surface, produces the selected color. The method further includes projecting, using a projector, the color of light onto the surface.
    Type: Grant
    Filed: June 12, 2018
    Date of Patent: April 27, 2021
    Inventors: Daniel Hickey, Paul Kellett
  • Patent number: 10990843
    Abstract: A method and an electronic device for enhancing efficiency of searching for a region of interest in a virtual environment are provided. The virtual environment includes a visible scene and an invisible scene. A picture-in-picture (PIP) is displayed in the visible scene as a directional guidance or distance hint related to the region of interest in the invisible scene, thereby saving time and enhancing efficiency of searching for the region of interest.
    Type: Grant
    Filed: June 19, 2018
    Date of Patent: April 27, 2021
    Assignees: National Taiwan University, Mediatek Inc.
    Inventors: Yung-Ta Lin, Yi-Chi Liao, Shan-Yuan Teng, Yi-Ju Chung, Li-Wei Chan, Bing-Yu Chen
  • Patent number: 10990815
    Abstract: Systems and processes can reduce or divide images of road networks into sub-images that depict straight or substantially straight sections of roads in the road networks. These sub-images or image segments can be normalized by, for example, rotating each of the sub-images such that the depicted roads are horizontal or otherwise share the same angle. By aligning disparate images of roads, it is possible to both reduce the amount of training data used to generate a machine learning model and to increase the accuracy of an automated lane marking or labelling system. Further, the use of normalized images by the machine learning model enables a reduction in computing resources used to perform automated lane marking processes while maintaining or improving accuracy of the lane marking processes.
    Type: Grant
    Filed: December 27, 2018
    Date of Patent: April 27, 2021
    Assignee: Beijing DiDi Infinity Technology and Development Co., Ltd.
    Inventors: Tingbo Hou, Yan Zhang
  • Patent number: 10984293
    Abstract: An image processing method includes: acquiring a video stream of a vehicle by a camera according to a user instruction; obtaining an image corresponding to a frame in the video stream; determining whether the image meets a predetermined criterion by inputting the image into a classification model, the classification model comprising a first convolutional neural network; in response to the image meeting the predetermined criterion, adding at least one of a target box or target segmentation information to the image by inputting the image into a target detection and segmentation model, the at least one of the target box or the target segmentation information corresponding to at least one of a vehicle part or vehicle damage of the vehicle, the target detection and segmentation model comprising a convolutional neural network; and displaying the at least one of the target box or the target segmentation information to the user.
    Type: Grant
    Filed: January 30, 2020
    Date of Patent: April 20, 2021
    Assignee: Advanced New Technologies Co., Ltd.
    Inventors: Xin Guo, Yuan Cheng, Chen Jiang, Zhihong Lu
  • Patent number: 10977478
    Abstract: In one embodiment of the invention, a method to image a probe array is described that includes focusing on a plurality of fiducials on a surface of an array. The method utilizes obtaining the best z position of the fiducials and using a surface fitting algorithm to produce a surface fit profile. One or more surface non-flatness parameters can be adjusted to improve the flatness image of the array surface to be imaged.
    Type: Grant
    Filed: January 21, 2020
    Date of Patent: April 13, 2021
    Assignee: Affymetrix, Inc.
    Inventors: David Stern, Chuan Gao, Melvin Yamamoto, Devin Nguyen
  • Patent number: 10977523
    Abstract: Methods, apparatuses and electronic devices for identifying an object category include: determining M key point neighborhood regions from corresponding object candidate boxes according to position information of M key points in a plurality of object candidate boxes of an image to be detected, where M is less than or equal to the total number of key points of N preset object categories, and M and N are positive integers; and determining category information of at least one object in the image to be detected using a convolutional neural network model used for identifying an object category in the image according to the M key point neighborhood regions.
    Type: Grant
    Filed: May 27, 2019
    Date of Patent: April 13, 2021
    Assignee: BEIJING SENSETIME TECHNOLOGY DEVELOPMENT CO., LTD
    Inventors: Buyu Li, Junjie Yan
  • Patent number: 10970838
    Abstract: Embodiments facilitate prediction of anti-vascular endothelial growth (anti-VEGF) therapy response in DME or RVO patients. A first set of embodiments discussed herein relates to training of a machine learning classifier to determine a prediction for response to anti-VEGF therapy based on a vascular network organization via Hough transform (VaNgOGH) descriptor generated based on FA images of tissue demonstrating DME or RVO. A second set of embodiments discussed herein relates to determination of a prediction of response to anti-VEGF therapy for a DME or RVO patient (e.g., non-rebounder vs. rebounder, response vs. non-response) based on a VaNgOGH descriptor generated based on FA imagery of the patient.
    Type: Grant
    Filed: May 17, 2019
    Date of Patent: April 6, 2021
    Assignees: Case Western Reserve University, The Cleveland Clinic Foundation
    Inventors: Anant Madabhushi, Prateek Prasanna, Justis Ehlers, Sunil Srivastava
  • Patent number: 10965958
    Abstract: An image coding apparatus, comprising an image reconstruction unit configured to reconstruct an image, a parameter determination unit configured to determine one or more filter parameters, based on one or more first parameters which are based on the reconstructed image and one or more second parameters which are based on codec signaling information, and a mixed-domain filtering unit configured to filter in a frequency domain and a pixel domain the reconstructed image based on the determined filter parameters to obtain a filtered image.
    Type: Grant
    Filed: June 21, 2019
    Date of Patent: March 30, 2021
    Assignee: Huawei Technologies Co., Ltd.
    Inventors: Victor Alexeevich Stepin, Roman Igorevich Chernyak, Albert Yurievich Silantiev
  • Patent number: 10963750
    Abstract: A method of operating a procedural language and content generation system that involves correlating environment objects and object movement to input controls through operation of a correlator, operating an interpreter to evaluate the correlation of the input controls and object/object movement against known libraries to generate programmatic instructions, storing the programmatic instructions as an instruction set, transforming the instruction set into executable commands through a compiler, and configuring control logic to perform the executable commands in response to receiving detected environment objects and detected object movement from an image processor.
    Type: Grant
    Filed: January 4, 2019
    Date of Patent: March 30, 2021
    Assignee: IAS Machine, LLC
    Inventors: Roger Brent, Jamie Douglas Tremaine, John Max Kellum
  • Patent number: 10952613
    Abstract: A stroke diagnosis and prognosis prediction system includes: an image acquisition unit configured so as to receive a plurality of images including at least a part of a human brain; an image alignment unit for aligning the plurality of images on the basis of a standard brain image; a lesion area detection and mapping unit for respectively detecting lesion areas from the plurality of images, and mapping the detected lesion areas so as to generate one mapping image; a matching and correction unit, which scales a mapping image so as to match the same to the standard brain image and performs image correction on the mapping image; a three-dimensional image generation unit storing the mapping image in a three-dimensional data space, thereby generating a three-dimensional lesion image; and a stroke diagnosis unit for diagnosing a stroke on the basis of the three-dimensional lesion image.
    Type: Grant
    Filed: September 14, 2017
    Date of Patent: March 23, 2021
    Assignees: JLK INSPECTION, DONGGUK UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION
    Inventors: Dong Eog Kim, Won Tae Kim, Shin Uk Kang, Myung Jae Lee, Dong-min Kim
  • Patent number: 10953831
    Abstract: A polarimetric radar system for detecting and classifying objects positioned in an interior of a vehicle includes a radar transmitter unit for transmitting radar waves of at least two different polarizations, a radar receiving unit for receiving radar waves of at least two different polarizations, a radar signal generating unit for generating and providing radar waves to be transmitted by the at least one radar transmitter unit, a signal processing circuitry for processing the generated radar waves and the received radar waves and a signal evaluation unit that is configured to receive processed signals from the signal processing circuitry, to estimate values for a set of predetermined object parameters on the basis of the received processed signals, and to select an object class upon detecting a match of the estimated values for the set of object parameters with one out of a plurality of predetermined sets of object parameters.
    Type: Grant
    Filed: November 23, 2017
    Date of Patent: March 23, 2021
    Assignee: IEE INTERNATIONAL ELECTRONICS & ENGINEERING S.A.
    Inventors: Kais Ben Khadhra, Oscar Gomez, Jochen Landwehr
  • Patent number: 10957092
    Abstract: The present disclosure discloses a method and an apparatus for distinguishing objects. The method includes: obtaining a plurality of object groups displayed in an image, each object group including at least one target object, and a same resource being configured for target objects in different object groups; setting different mark values for the plurality of object groups, target objects in a same object group having a same mark value; and separately performing pixel correction on pixels of the target objects in each object group according to the mark value of each object group, pixels of the target objects having different mark values being corrected to have different display attributes.
    Type: Grant
    Filed: June 5, 2018
    Date of Patent: March 23, 2021
    Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Jinyuan Zhou, Li Wang
  • Patent number: 10956713
    Abstract: A computer-implemented method includes selecting a kernel and kernel parameters for a first Support Vector Machine (SVM) model, testing the first SVM model on a feature matrix T of n feature vectors of length m to produce false positive (FP) data set and false negative (FN) data set by a computer processor, wherein n and m are integer numbers, automatically removing feature vectors corresponding to the FP data set from the feature matrix T by the computer processor to produce a feature matrix T_best, retraining the first SVM model on the feature matrix T_best to produce a second SVM model, and checking if a ratio (T_best sample number)/(SVM support vector number) is above a threshold for the second SVM model on T_best. If the ratio is above the threshold, SVM predictions are performed using the second SVM model on the feature matrix T_best.
    Type: Grant
    Filed: January 21, 2020
    Date of Patent: March 23, 2021
    Assignee: Shutterfly, LLC
    Inventor: Omer Moshe Moussaffi
  • Patent number: 10949949
    Abstract: A non-transitory computer-readable medium for monitoring a semiconductor fabrication process includes an image conversion model having an artificial neural network. The image conversion model, when executed, causes the processor to receive a first image and a second image of a semiconductor wafer. The artificial neural network is trained by inputting a dataset representing the first image and the second image, generating a conversion image of the semiconductor wafer and calibrating weights and biases of the artificial neural network to match the conversion image to the second image. A third image of the semiconductor wafer is generated based on the calibrated weights and biases of the artificial neural network. The image conversion model with the trained artificial neural network may be transmitted to another device for image conversion of low resolution images.
    Type: Grant
    Filed: May 3, 2019
    Date of Patent: March 16, 2021
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Choonshik Leem, Taelim Choi, Yongdeok Kim