Patents Examined by Amir Alavi
  • 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: 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: 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: 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: 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: 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
  • Patent number: 11922628
    Abstract: Described herein are means for generation of self-taught generic models, named Models Genesis, without requiring any manual labeling, in which the Models Genesis are then utilized for the processing of medical imaging. For instance, an exemplary system is specially configured for learning general-purpose image representations by recovering original sub-volumes of 3D input images from transformed 3D images. Such a system operates by cropping a sub-volume from each 3D input image; performing image transformations upon each of the sub-volumes cropped from the 3D input images to generate transformed sub-volumes; and training an encoder-decoder architecture with skip connections to learn a common image representation by restoring the original sub-volumes cropped from the 3D input images from the transformed sub-volumes generated via the image transformations.
    Type: Grant
    Filed: April 7, 2021
    Date of Patent: March 5, 2024
    Assignee: Arizona Board of Regents on behalf of Arizona State University
    Inventors: Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, Jianming Liang
  • Patent number: 11906444
    Abstract: A method for training a system for automatically detecting a defect of a blade of a turbomachine including a platform intended to receive a blade, at least one image-acquiring device, at least one light source the luminous intensity of which may vary, at least one moving device configured to move the platform with respect to the at least one image-acquiring device or to move the at least one image-acquiring device with respect to the platform, and a processing unit configured to receive acquired images and associate them with the items of information relating to the luminous intensity of the at least one light source and to the relative position of the platform with respect to the at least one image-acquiring device during the image acquisition.
    Type: Grant
    Filed: April 3, 2020
    Date of Patent: February 20, 2024
    Assignee: SAFRAN
    Inventors: Héléna Vorobieva, Sylvaine Picard
  • Patent number: 11908175
    Abstract: A method of training an image recognition model includes: generating a virtual dynamic vision sensor (DVS) image using a virtual simulator; generating label information including information about a correct answer to a result of recognition of the DVS image by the image recognition model, with respect to the DVS image; and training the image recognition model by modifying the image recognition model so that a difference between the result of recognition of the DVS image by the image recognition model and the label information is reduced.
    Type: Grant
    Filed: March 11, 2022
    Date of Patent: February 20, 2024
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Seowoo Jang, Sangung Yi
  • Patent number: 11900335
    Abstract: A method of determining one or more damage states of one or more auxiliary parts of a damaged vehicle, the vehicle comprising a plurality of normalized parts and at least some of the normalized parts further comprising one or more auxiliary parts. The method includes receiving one or more images of the vehicle, using a plurality of classifiers, each determining at least one classification of damage to the vehicle, each said classification being determined for each of a plurality of normalized parts of the vehicle, determining one or more classifications for the plurality of auxiliary parts using one or more trained models, wherein each classification comprises at least one indication of damage to at least one auxiliary part and outputting the determined damage states of the one or more auxiliary parts.
    Type: Grant
    Filed: February 1, 2022
    Date of Patent: February 13, 2024
    Assignee: Tractable Limited
    Inventors: Razvan Ranca, Marcel Horstmann, Bjorn Mattsson, Janto Oellrich, Yih Kai Teh, Ken Chatfield, Franziska Kirschner, Rusen Aktas, Laurent Decamp, Mathieu Ayel, Julia Peyre, Shaun Trill, Crystal Van Oosterom, Stephen Hardwick