Patents Examined by Amìr Alavì
  • Patent number: 12008689
    Abstract: Devices, systems, and methods obtain first radiographic-image data reconstructed based on a set of projection data acquired in a radiographic scan; apply one or more trained machine-learning models to the set of projection data and the first radiographic-image data to obtain a set of parameters for a scatter kernel; input the set of parameters and the set of projection data into the scatter kernel to obtain scatter-distribution data; and perform scatter correction on the set of projection data using the scatter-distribution data, to obtain a set of corrected projection data.
    Type: Grant
    Filed: December 3, 2021
    Date of Patent: June 11, 2024
    Assignee: CANON MEDICAL SYSTEMS CORPORATION
    Inventors: Yujie Lu, Tzu-Cheng Lee, Liang Cai, Jian Zhou, Zhou Yu
  • Patent number: 12003774
    Abstract: An image decoding method according to the present document comprises the steps of: deriving transform coefficients through inverse quantization on the basis of quantized transform coefficients for a target block; deriving modified transform coefficients on the basis of an inverse reduced secondary transform (RST) for the transform coefficients; and generating, on the basis of an inverse primary transform for the modified transform coefficients, a restoration picture based on residual samples for the target block, wherein the modified transform coefficients derived according to the inverse RST are two-dimensionally arranged according to the order of a row priority direction or a column priority direction according to an intra prediction mode to be applied to the target block.
    Type: Grant
    Filed: May 17, 2023
    Date of Patent: June 4, 2024
    Assignee: LG Electronics Inc.
    Inventors: Moonmo Koo, Seunghwan Kim, Jaehyun Lim
  • Patent number: 12003871
    Abstract: Apparatus for binning an input value into an array of bins, each bin representing a range of input values and the bins collectively representing a histogram of input values, the apparatus comprising: an input for receiving the input value; a memory for storing the array; and a binning controller configured to: derive a plurality of bin values from the input value according to a binning distribution located about the input value, the binning distribution spanning a range of input values and each bin value having a respective input value dependent on the position of the bin value in the binning distribution; and allocate the plurality of bin values to a plurality of bins in the array, each bin value being allocated to a bin selected according to the respective input value of the bin value.
    Type: Grant
    Filed: March 18, 2023
    Date of Patent: June 4, 2024
    Assignee: Imagination Technologies Limited
    Inventor: Timothy Smith
  • Patent number: 11998315
    Abstract: A method of manufacturing a patient interface for sealed delivery of a flow of air at a continuously positive pressure with respect to ambient air pressure to an entrance to the patient's airways includes collecting anthropometric data of a patient's face. Anticipated considerations are identified from the collected anthropometric data during use of the patient interface. The collected anthropometric data is processed to provide a transformed data set based on the anticipated considerations, the transformed data set corresponding to at least one customised patient interface component. At least one patient interface component is modelled based on the transformed data set.
    Type: Grant
    Filed: December 8, 2022
    Date of Patent: June 4, 2024
    Assignee: ResMed Pty Ltd
    Inventors: Tzu-Chin Yu, Aaron Samuel Davidson, Robert Henry Frater, Benjamin Peter Johnston, Paul Jan Klasek, Robert Anthony Paterson, Quangang Yang, Gerard Michael Rummery, Priyanshu Gupta, Liam Holley, Gordon Joseph Malouf
  • Patent number: 11996594
    Abstract: Disclosed are a system and method for managing a self-contained hydrogen power system for a smart farm. The system may include a self-contained hydrogen generation unit configured to purify intake-water, generate clean hydrogen through water electrolysis, generate energy through a fuel cell by using the generated clean hydrogen, and store the energy, and a farm environment control unit configured to receive, from the self-contained hydrogen generation unit, energy for driving a plurality of sensors and devices for producing aquatic products and control an environment for producing aquatic products.
    Type: Grant
    Filed: August 6, 2021
    Date of Patent: May 28, 2024
    Assignee: KWATERCRAFT CO., LTD.
    Inventor: Soon Pyo Kwon
  • Patent number: 11995881
    Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for training a data classification model. The method includes generating a first training rule based on probabilities of classifying a plurality of sample data into corresponding classes by a data classification model. The method also includes generating a second training rule based on relevances of the plurality of sample data to the corresponding classes. In addition, the method also includes training the data classification model using the first training rule and the second training rule. With this method, a data classification model is trained, so that the data classification accuracy of the data classification model and the robustness to noise can be improved.
    Type: Grant
    Filed: January 21, 2022
    Date of Patent: May 28, 2024
    Assignee: Dell Products L.P.
    Inventors: Zijia Wang, Wenbin Yang, Jiacheng Ni, Zhen Jia
  • Patent number: 11983917
    Abstract: A machine-learning classification system includes a first machine-learning classifier that classifies each element of a plurality of data items to generate a plurality of classified data items. A second machine-learning classifier identifies misclassified elements of the plurality of classified data items and reclassifies each of the identified misclassified elements to generate a plurality of reclassified data items. A second machine-learning classifier identifies unclassified elements of the plurality of classified data items and classifies each of the identified unclassified elements to generate a plurality of reclassified data items. An ensemble classifier adjusts the classifications of the elements of the plurality of classified data items in response to the plurality of reclassified data items and the plurality of newly-classified elements.
    Type: Grant
    Filed: April 2, 2021
    Date of Patent: May 14, 2024
    Assignee: Huawei Technologies Co., Ltd.
    Inventor: Jiangsheng Yu
  • Patent number: 11978200
    Abstract: Aspects of the present disclosure pertain to systems and methods for enhancing brightfield or darkfield images to better enable nucleus detection. In some embodiments, the systems and methods described herein are useful for identifying membrane stain biomarkers as well as nuclear/cytoplasm stain biomarkers in stained images of biological samples. In some embodiments, the presently disclosed systems and methods enable quick and accurate nucleus detection in stained images of biological samples, especially for original stained images of biological samples where the nuclei appear faint.
    Type: Grant
    Filed: March 26, 2021
    Date of Patent: May 7, 2024
    Assignee: VENTANA MEDICAL SYSTEMS, INC.
    Inventor: Yao Nie
  • Patent number: 11972602
    Abstract: Provided is a method for performing accurate object recognition in a stable manner in consideration of changes in a shooting environment. In such a method, a camera captures an image of a shooting location where an object is to be placed and an object included in an image of the shooting location is recognized utilizing a machine learning model for object recognition. The method further involves: determining necessity of an update operation on the machine learning model for object recognition at a predetermined time; when the update operation is necessary, causing the camera to capture an image of the shooting location where no object is placed to thereby re-acquire a background image for training; and causing the machine learning model to be trained using a composite image of a backgroundless object image and the re-acquired background image for training as training data.
    Type: Grant
    Filed: September 10, 2020
    Date of Patent: April 30, 2024
    Assignee: PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO., LTD.
    Inventors: Makoto Shinzaki, Yuichi Matsumoto
  • Patent number: 11971955
    Abstract: Techniques are generally described for machine learning exampled-based annotation of image data. In some examples, a first machine learning model may receive a query image comprising a first depiction of an object-of-interest. In some examples, the first machine learning model may receive a target image representing a scene in which a second depiction of the object-of-interest is visually represented. In various examples, the first machine learning model may generate annotated output image data that identifies a location of the second depiction of the object-of-interest within the target image. In some examples, an object detection model may be trained based at least in part on the annotated output image data.
    Type: Grant
    Filed: July 21, 2021
    Date of Patent: April 30, 2024
    Assignee: Amazon Technologies, Inc.
    Inventors: Ria Chakraborty, Madhur Popli, Rachit Lamba, Santosh Kumar Sahu, Rishi Kishore Verma
  • Patent number: 11967061
    Abstract: A semiconductor apparatus examination method includes a step of detecting light from a plurality of positions in a semiconductor apparatus (D) and acquiring a waveform corresponding to each of the plurality of positions, a step of extracting a waveform corresponding to a specific timing from the waveform corresponding to each of the plurality of positions and generating an image corresponding to the specific timing based on the extracted waveform, and a step of extracting a feature point based on a brightness distribution correlation value in the image corresponding to the specific timing and identifying a position of a drive element in the semiconductor apparatus based on the feature point.
    Type: Grant
    Filed: May 19, 2020
    Date of Patent: April 23, 2024
    Assignee: HAMAMATSU PHOTONICS K.K.
    Inventors: Hirotoshi Terada, Yoshitaka Iwaki
  • Patent number: 11961300
    Abstract: A method of classifying a media includes receiving a media file and extracting therefrom first and second data streams including first and second media content, respectively, the media content being associated with the media item. First and second feature vectors describing the first and second media content, respectively, are generated. At least a first single feature vector representing the first sequence of first feature vectors and the second sequence of second feature vectors is generated, or at least a first single feature vector representing at least the first sequence of first feature vectors is generated. A second feature vector representing at least the second sequence of second feature vectors is generated. A probability vector from the first single feature vector, or from the first and second single feature vectors is generated. A user profile suitability class is assigned to the media item based on the probability vector.
    Type: Grant
    Filed: April 29, 2019
    Date of Patent: April 16, 2024
    Assignee: ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE (EPFL)
    Inventors: Gabriel Autès, Sami Arpa, Sabine Süsstrunk
  • Patent number: 11961298
    Abstract: Systems and methods for detecting objects in a video are provided. A method can include inputting a video comprising a plurality of frames into an interleaved object detection model comprising a plurality of feature extractor networks and a shared memory layer. For each of one or more frames, the operations can include selecting one of the plurality of feature extractor networks to analyze the one or more frames, analyzing the one or more frames by the selected feature extractor network to determine one or more features of the one or more frames, determining an updated set of features based at least in part on the one or more features and one or more previously extracted features extracted from a previous frame stored in the shared memory layer, and detecting an object in the one or more frames based at least in part on the updated set of features.
    Type: Grant
    Filed: February 22, 2019
    Date of Patent: April 16, 2024
    Assignee: GOOGLE LLC
    Inventors: Menglong Zhu, Mason Liu, Marie Charisse White, Dmitry Kalenichenko, Yinxiao Li
  • Patent number: 11954893
    Abstract: The technology described herein is directed to systems, methods, and software for indexing video. In an implementation, a method comprises identifying one or more regions of interest around target content in a frame of the video. Further, the method includes identifying, in a portion of the frame outside a region of interest, potentially empty regions adjacent to the region of interest. The method continues with identifying at least one empty region of the potentially empty regions that satisfies one or more criteria and classifying at least the one empty region as a negative sample of the target content. In some implementations, the negative sample of the target content in a set of negative samples of the target content, with which to train a machine learning model employed to identify instances of the target content.
    Type: Grant
    Filed: June 17, 2022
    Date of Patent: April 9, 2024
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Oron Nir, Maria Zontak, Tucker Cunningham Burns, Apar Singhal, Lei Zhang, Irit Ofer, Avner Levi, Haim Sabo, Ika Bar-Menachem, Eylon Ami, Ella Ben Tov, Anika Zaman
  • Patent number: 11949885
    Abstract: An intra prediction method and a device using the intra prediction method are provided. The intra prediction method includes the steps of: deriving a current prediction mode as a prediction mode of a current block; constructing neighboring samples of the current block with available reference samples; filtering the available reference samples; and generating predicted samples of the current block on the basis of the filtered available reference samples. The filtering step includes performing the filtering using the available reference sample located in the prediction direction of the current prediction mode and a predetermined number of available reference samples neighboring to the prediction direction of the current prediction mode.
    Type: Grant
    Filed: May 2, 2023
    Date of Patent: April 2, 2024
    Assignee: LG ELECTRONICS INC.
    Inventors: Yong Joon Jeon, Seung Wook Park, Jung Sun Kim, Joon Young Park, Byeong Moon Jeon, Jae Hyun Lim
  • Patent number: 11949921
    Abstract: Methods and apparatuses to encode both high dynamic range images and low dynamic range images. The input video may also convert the high dynamic range image to an image of lower luminance dynamic range by applying either a scaling the high dynamic range image to a predetermined scale of the luma axis or by applying a sensitivity tone mapping which changes the brightnesses of pixel colors falling within a subrange or by applying a gamma function or by applying an arbitrary monotonically increasing function mapping the lumas.
    Type: Grant
    Filed: December 1, 2022
    Date of Patent: April 2, 2024
    Assignee: Koninklijke Philips N.V.
    Inventors: Renatus Josephus Van Der Vleuten, Mark Jozef Willem Mertens
  • Patent number: 11943484
    Abstract: A dependency indication is signaled within the beginning of a packet, that is, within the adjacent of a slice header to be parsed or a parameter set. This is achieved, for example, by including the dependency indication at the beginning of the slice header, preferably after a syntax element identifying the parameter set and before the slice address, by including the dependency indication before the slice address, by providing the dependency indication to a NALU header using a separate message, or by using a special NALU type for NALUs carrying dependent slices.
    Type: Grant
    Filed: March 2, 2023
    Date of Patent: March 26, 2024
    Assignee: SUN PATENT TRUST
    Inventors: Semih Esenlik, Matthias Narroschke, Thomas Wedi
  • Patent number: 11941693
    Abstract: A currency information provision system (1) comprises: a database server (2) in which currency image information is stored as one type of currency information about multiple types of currency; and an information processing terminal (3) that acquires target image information (IA), which is image information for a search object, and transmits the target image information (IA) to the database server (2), the database server (2) comparing the target image information (IA) with the currency image information, and thereby searching a candidate currency estimated to be the same type as currency included in the search target, from among the multiple types of currency, and transmitting the currency information (IB) of the candidate currency to the information processing terminal (3), and the information processing terminal (3) providing currency information for the candidate currency.
    Type: Grant
    Filed: August 28, 2019
    Date of Patent: March 26, 2024
    Assignee: GLORY LTD.
    Inventor: Yukari Yuan
  • Patent number: 11935287
    Abstract: A computer-implemented image-based property condition determination system and method are provided. The method includes determining one or more element condition ratings from individual images of the property; and determining an overall property condition based on available element condition ratings of the property. An overall condition rating of a portfolio comprising a plurality of properties is determined using the condition ratings of properties in the portfolio.
    Type: Grant
    Filed: September 18, 2019
    Date of Patent: March 19, 2024
    Assignee: HouseCanary, Inc.
    Inventors: Christopher V. Stroud, Jeremy David Sicklick, Alexander Villacorta, Brittany Murphy, Evgeny Turnaev
  • Patent number: 11927445
    Abstract: Systems and methods for navigating intersections autonomously or semi-autonomously can include, but are not limited to including, accessing data related to the geography and traffic management features of the intersection, executing autonomous actions to navigate the intersection, and coordinating with one or more processors and/or operators executing remote actions, if necessary. Traffic management features can be identified by using various types of images such as oblique images.
    Type: Grant
    Filed: March 26, 2021
    Date of Patent: March 12, 2024
    Assignee: DEKA Products Limited Partnership
    Inventors: Praneeta Mallela, Aaditya Ravindran, Benjamin V. Hersh, Boris Bidault