Patents Examined by Tsung-Yin Tsai
  • Patent number: 12131584
    Abstract: An expression recognition method is described that includes acquiring a face image to be recognized, and inputting the face image into N different recognition models arranged in sequence for expression recognition and outputting an actual expression recognition result, the N different recognition models being configured to recognize different target expression types, wherein N is an integer greater than 1.
    Type: Grant
    Filed: March 10, 2021
    Date of Patent: October 29, 2024
    Assignee: BOE TECHNOLOGY GROUP CO., LTD
    Inventors: Yanhong Wu, Guannan Chen, Pablo Navarrete Michelini, Lijie Zhang
  • Patent number: 12125260
    Abstract: A discrete attribute value dataset is obtained that is associated with a plurality of probe spots each assigned a different probe spot barcode. The dataset comprises spatial projections, each comprising images of a biological sample. Each image includes a corresponding plurality of discrete attribute values for the probe spots. Each such value is associated with a probe spot in the plurality of probes spots based on the probe spot barcodes. The dataset is clustered using the discrete attribute values, or dimension reduction components thereof, for a plurality of loci at each respective probe spot across the images of the projections thereby assigning each probe spot to a cluster in a plurality of clusters. Morphological patterns are identified from the spatial arrangement of the probe spots in the various clusters.
    Type: Grant
    Filed: July 20, 2023
    Date of Patent: October 22, 2024
    Assignee: 10X GENOMICS, INC.
    Inventors: Jeffrey Clark Mellen, Jasper Staab, Kevin J. Wu, Neil Ira Weisenfeld, Florian Baumgartner, Brynn Claypoole
  • Patent number: 12118827
    Abstract: An apparatus for detecting mounting behavior of an animal object includes: a memory that stores a program; and a processor that executes the program. The program extracts animal detection information about an animal object detected from the image by inputting the received image into an animal detection model. Also, the program extracts bounding boxes of which a distance between coordinates of central points is smaller than a first set value, bounding boxes of which a difference in rotational angle is smaller than a second set value, and bounding boxes of which a difference between a vector connecting the central points of the extracted bounding boxes and an orientation of each bounding box is smaller than a third set value. If activity information of the animal object is extracted based on an MHI of the image, it is determined that mounting behavior occurs.
    Type: Grant
    Filed: March 23, 2022
    Date of Patent: October 15, 2024
    Assignee: INTFLOW INC.
    Inventors: Kwang Myung Jeon, So Heun Ju
  • Patent number: 12118636
    Abstract: A method, apparatus and computer readable storage to implement an automated system for video surveillance in a casino or other controlled environment. Players in the casino can be automatically scanned and analyzed for whether they are under the legal gambling age or not. When an underage gambler is detected, a casino security employee (or other casino personnel) is notified so they can take the appropriate action. Similarly, players who are excluded from the casino can also be automatically detected and would be ejected when detected.
    Type: Grant
    Filed: June 22, 2020
    Date of Patent: October 15, 2024
    Assignee: NRT Technologies, Inc.
    Inventors: Perry Stasi, Ryan McClellan
  • Patent number: 12112484
    Abstract: There is provided a method for generating a learning model, the method including: acquiring an endoscopic image captured by an endoscope and manipulation information regarding a manipulation of an endoscope operator in each stage of operation of the endoscope by the endoscope operator operating the endoscope; and generating a learning model learned so as to output the manipulation information of a next stage in a case where the endoscopic image and the manipulation information are input, based on training data including the acquired endoscopic image and manipulation information, and the manipulation information of the next stage.
    Type: Grant
    Filed: November 18, 2020
    Date of Patent: October 8, 2024
    Assignee: HOYA CORPORATION
    Inventors: Chihiro Kambe, Kohei Iketani
  • Patent number: 12112500
    Abstract: The present disclosure provides an apparatus for cylindrical convolutional neural network operation, and an apparatus and method for object recognition and viewpoint estimation using the same. The present disclosure uses a cylindrical convolutional network to recognize objects in the image and to determine the viewpoint, which cylindrical convolutional network performs a convolution operation while sliding the input image in the direction of rotation of the cylindrical kernel and extracts a plurality of view-specific feature vectors according to angular unit intervals, to identify and recognize objects, as well as to determine the viewpoint from which the objects were photographed.
    Type: Grant
    Filed: September 8, 2021
    Date of Patent: October 8, 2024
    Assignee: INDUSTRY-ACADEMIC COOPERATION FOUNDATION, YONSEI UNIVERSITY
    Inventors: Kwang Hoon Sohn, Sung Hun Joung
  • Patent number: 12112461
    Abstract: An adaptive image shading correction method and an adaptive image shading system are provided. The method includes: configuring an image capturing device to obtain a current frame; and configuring a processing unit to: divide the current frame into blocks; select block pairs from the blocks, in which each of the block pairs includes an inner block and an outer block; perform a filtering process for each of the block pairs to determine whether a brightness condition, a saturation condition, a hue similarity condition, and a sharpness similarity condition are met; in response to obtaining filtered block pairs, calculate a sum similarity threshold based on hue statistical data, a saturation difference, and a brightness difference; and use filtered blocks with individual thresholds less than the sum similarity threshold to calculate a shadow compensation value to adjust the current frame.
    Type: Grant
    Filed: May 25, 2022
    Date of Patent: October 8, 2024
    Assignee: REALTEK SEMICONDUCTOR CORP.
    Inventors: Sheng-Kai Lin, Min-Chen Hsu, Pao-Chi Yeh, Kai-Wen Lai, Chen-Chieh Yao
  • Patent number: 12100228
    Abstract: An object is to provide a travel environment analysis apparatus that accurately estimates an event occurring outside of a vehicle. A travel environment analysis apparatus includes a gaze point concentration area detector, a gaze point concentration area event estimation unit, and an information output unit. The gaze point concentration area detector sequentially detects a gaze point concentration area that is an area outside of a plurality of vehicles and gazed by occupants of the plurality of vehicles, based on line-of-sight information related to lines of sight of the occupants. The gaze point concentration area event estimation unit estimates, when a new gaze point concentration area which is a gaze point concentration area newly coming up is detected, an event occurring in the new gaze point concentration area. The information output unit outputs information of the new gaze point concentration area and information of the event.
    Type: Grant
    Filed: April 24, 2019
    Date of Patent: September 24, 2024
    Assignee: Mitsubishi Electric Corporation
    Inventors: Mitsuo Shimotani, Tadashi Miyahara, Yoshinori Ueno, Tomohiro Shiino, Kuniyo Ieda
  • Patent number: 12100137
    Abstract: Disclosed is a system for analysis of microscopic image data acquired from biological cells. The system includes a data processing system which is configured to read the image data and determine a plurality of vertices, wherein each of the vertices represents a location of an entity of interest within a region of interest of the image data. The data processing system generates a plurality of graphs, wherein for each of the graphs, the generation of the respective graph includes generating a plurality of edges, wherein each of the edges has two of the plurality of vertices associated therewith. For each of the graphs one or more vertex sets are identified, each of which consisting of one or more of the plurality of vertices. The data processing system further determines, for each of the graphs, a number of the identified vertex sets.
    Type: Grant
    Filed: August 13, 2019
    Date of Patent: September 24, 2024
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Supriyo Chatterjea, Johannes Henricus Maria Korst, Marinus Bastiaan Van Leeuwen, Reinhold Wimberger-Friedl
  • Patent number: 12087454
    Abstract: A classification model for identifying or classifying biological structures depicted in a base image can be generated by training a label generation model and then using the label generation model to train the classification model. The label generation model can be configured to accept co-registered base and informer images, while the classification model can be configured to accept base images. The classification model can output an indication when a biological structure is identified or classified in a base image.
    Type: Grant
    Filed: November 17, 2023
    Date of Patent: September 10, 2024
    Assignee: Aignostics GmbH
    Inventors: Maximilian Alber, Roman Schulte-Sasse, Viktor Matyas, Sharon Ruane, Cornelius Böhm
  • Patent number: 12079311
    Abstract: An AI-enhanced data labeling tool assists a human operator in annotating image data. The tool may use a segmentation model to identify portions to be labeled. Initially, the operator manually annotates portions and once the operator has labeled a sufficient number of portions, a classifier is trained to predict labels for other portions. The predictions generated by the classifier are presented to the operator for approval or modification. The tool may also include an active learning model that recommends portions of the image data for the operator to annotate next. The active learning model may suggest one or more batches of portions based on the extent to which, once labeled, those batches will increase the diversity of the total set of labeled portions.
    Type: Grant
    Filed: January 8, 2021
    Date of Patent: September 3, 2024
    Assignee: Salesforce, Inc.
    Inventors: Carlos Andres Esteva, Douwe Stefan van der Wal
  • Patent number: 12079965
    Abstract: A data noise reduction method and apparatus are provided. In some embodiments, the method includes: obtaining to-be-processed point cloud data; for each of points in the to-be-processed point cloud data, determining a point feature corresponding to the point, the point feature comprising at least one of a spatial distribution difference feature between the point and other points adjacent to the point or a point group distribution feature corresponding to a point group comprising all points in a local space in which the point is located; recognizing a noise point from the to-be-processed point cloud data according to point features corresponding to the points in the to-be-processed point cloud data; and performing noise reduction on the to-be-processed point cloud data according to the recognized noise point.
    Type: Grant
    Filed: February 9, 2022
    Date of Patent: September 3, 2024
    Assignee: BEIJING SANKUAI ONLINE TECHNOLOGY CO., LTD.
    Inventors: Huaxia Xia, Zeyu Zhong, Shenchuan Liu
  • Patent number: 12056871
    Abstract: Systems, methods and computer program products are provided to collect ultrasound (US) data. A processor is configured to acquire the US data along one or more acquisition scan planes. The US data defines a plurality of image frames that have a first image quality. The processor is further configured to apply a generative model to at least one of the US data or plurality of image frames to generate a synthetic scan plane image along a synthetic scan plane. The generative model is defined based on one or more training ultrasound data sets. The synthetic scan plane image has an image quality that is common with the first image quality of the plurality of image frames. The system further comprises a display configured to display the synthetic scan plane image.
    Type: Grant
    Filed: April 27, 2021
    Date of Patent: August 6, 2024
    Assignee: GE Precision Healthcare LLC
    Inventors: Vikram Melapudi, Rahul Venkataramani
  • Patent number: 12055540
    Abstract: A method for providing a viral infection status of at least one cell in a cell sample comprising receiving holographic information (304) of the cell sample obtained by digital holographic microscopy, and determining from the holographic information, the viral infection status (306) of the at least one cell.
    Type: Grant
    Filed: March 15, 2019
    Date of Patent: August 6, 2024
    Assignee: OVIZIO IMAGING SYSTEMS NV/SA
    Inventors: Philip Mathuis, Serge Jooris
  • Patent number: 12056927
    Abstract: A distributed systems and methods for generating composite media including receiving a media context that defines media that is to be generated, the media context including: a definition of a sequence of media segment specifications and, an identification of a set of remote devices. For each media segment specification, a reference segment may be generated and transmitted to at least one remote device. A media segment may be received from each of the remote device, the media segment having been recorded by a camera. Verified media sequences may replace the corresponding reference segment. The media segments may be aggregated and an updated sequence of media segments may be defined. An instance of the media context that includes a subset of the updated sequence of media segments may then be generated.
    Type: Grant
    Filed: May 3, 2023
    Date of Patent: August 6, 2024
    Inventor: Philip Martin Meier
  • Patent number: 12047611
    Abstract: The present technology relates to an image processing apparatus and method that are capable of enhancing encoding efficiency while suppressing a decrease in the efficiency of encoding processing. The image processing apparatus includes an encoding mode setter that sets, in units of coding units having a hierarchical structure, whether a non-compression mode is to be selected as an encoding mode for encoding image data, the non-compression mode being an encoding mode in which the image data is output as encoded data, and an encoder that encodes the image data in units of the coding units in accordance with a mode set by the encoding mode setter. The present disclosure can be applied to, for example, an image processing apparatus.
    Type: Grant
    Filed: July 28, 2023
    Date of Patent: July 23, 2024
    Assignee: SONY GROUP CORPORATION
    Inventor: Kazushi Sato
  • Patent number: 12045063
    Abstract: An illustrative example embodiment of a detector device, which may be useful on an automated vehicle, includes an array of detectors arranged in one dimension. The array includes a plurality of first detectors and a plurality of second detectors. The first detectors respectively have one of the second detectors between the first detector and an adjacent one of the first detectors. The first detectors respectively are spaced from the one of the second detectors by a first distance. The one of the second detectors are respectively spaced from the adjacent one of the first detectors by a second distance that is larger than the first distance. The first detectors are spaced from each other by a third distance that is a sum of the first and second distance. The second detectors are also spaced from each other by the third distance.
    Type: Grant
    Filed: October 20, 2020
    Date of Patent: July 23, 2024
    Assignee: Aptiv Technologies AG
    Inventors: Zhengzheng Li, Carlos Alcalde
  • Patent number: 12045948
    Abstract: An image processing method including obtaining image data. The image data includes a plurality of image data values. The image processing method also includes processing the image data, thereby generating output data. Processing the image data includes applying a convolution operation to the plurality of image data values using a kernel including a plurality of coefficients. Applying the convolution operation includes obtaining a sum of image data values of the plurality of image data values that correspond respectively to coefficients of the plurality of coefficients that each have a common coefficient value. Applying the convolution operation also includes multiplying the sum by the common coefficient value.
    Type: Grant
    Filed: July 28, 2021
    Date of Patent: July 23, 2024
    Assignee: Arm Limited
    Inventors: Maxim Novikov, David Hanwell, Alexis Leonardo Lluis Gomez
  • Patent number: 12033325
    Abstract: A method for image segmentation comprises receiving volumetric image data for an anatomical region and generating a first volumetric patch from the volumetric image data. The method also comprises generating a second volumetric patch from the first volumetric patch by weighting at least one of a plurality of volumetric units in the first volumetric patch and receiving the second volumetric patch as an input to a convolutional neural network. The weighting that at least one of the plurality of volumetric units includes applying a weight based on a foreground structure classification. The method also comprises conducting a down-sampling filter process and conducting an up-sampling filter process within the convolutional neural network.
    Type: Grant
    Filed: April 12, 2023
    Date of Patent: July 9, 2024
    Assignee: INTUITIVE SURGICAL OPERATIONS, INC.
    Inventors: Junning Li, Pechin Chien Pau Lo, Ahmed Taha, Tao Zhao
  • Patent number: 12008077
    Abstract: A method of training an action selection neural network to perform a demonstrated task using a supervised learning technique. The action selection neural network is configured to receive demonstration data comprising actions to perform the task and rewards received for performing the actions. The action selection neural network has auxiliary prediction task neural networks on one or more of its intermediate outputs. The action selection policy neural network is trained using multiple combined losses, concurrently with the auxiliary prediction task neural networks.
    Type: Grant
    Filed: March 13, 2023
    Date of Patent: June 11, 2024
    Assignee: DeepMind Technologies Limited
    Inventor: Todd Andrew Hester