Patents Examined by Manav Seth
  • Patent number: 12033303
    Abstract: A system for super-sampling digital images detects artifacts in an SRGAN super-sampled image, determines blocks of the image that contribute to the artifacts, and if the artifact-contributing blocks exceed a threshold, discards the SRGAN generated output image in favor of applying a super-sampled image generated by an alternate mechanism, such as a nearest neighbor algorithm.
    Type: Grant
    Filed: February 8, 2022
    Date of Patent: July 9, 2024
    Assignee: KYOCERA DOCUMENT SOLUTIONS, INC.
    Inventor: Sheng Li
  • Patent number: 12028573
    Abstract: The present invention enables detection of a sponsorship credit display in a broadcast program with higher precision. A sponsorship credit display detection device 100 according to the present invention includes: a learning data creation unit 140 that creates, as learning data, from a broadcast program in which the sponsorship credit display has been detected, a still image where the sponsorship credit display is displayed and a still image where the sponsorship credit display is not displayed; a learning unit 150 that uses the learning data created by the learning data creation unit 140 to learn a parameter to be applied to a detection model for detecting a sponsorship credit display in a broadcast program; and a sponsorship credit display detection unit 170 that uses the detection model to which the parameter learned by the learning unit 150 has been applied to detect a sponsorship credit display in a recognition target broadcast program.
    Type: Grant
    Filed: May 13, 2019
    Date of Patent: July 2, 2024
    Assignee: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
    Inventors: Yasunori Oishi, Takahito Kawanishi, Kaoru Hiramatsu, Kunio Kashino
  • Patent number: 12026893
    Abstract: A method implements image background removal. The method includes receiving an image and processing the image using a first color distance threshold to generate a first alpha mask. The method further includes processing the first alpha mask using a cartesian edge threshold and a second color distance threshold to generate a second alpha mask. The method further includes presenting the image combined with the second alpha mask in a combined image.
    Type: Grant
    Filed: March 31, 2023
    Date of Patent: July 2, 2024
    Assignee: Intuit Inc.
    Inventors: Benjamin Nathaniel Leathers, Frank Andrew Vaughan
  • Patent number: 12020417
    Abstract: The present disclosure provides method and system 100 for classifying defects in wafer using wafer defect images, based on deep learning network. Embodiments herein uses synergy between several modalities of the wafer defect images for the classification decision. Further, by adding a mixture of modalities, information may be obtained from different sources such as color image, ICI, the black and white image, to classify the defect image. In addition to mixture of modalities, a reference image may be used for each modality. The reference image of each modality image is provided to deep learning models to concentrate on the defect itself and not on the related underlying lithography of the defect image. Further, the reference image may be provided to the training process of the deep learning models that may significantly reduce the number of labelled images and the training epochs required for convergence of the deep learning model.
    Type: Grant
    Filed: July 18, 2020
    Date of Patent: June 25, 2024
    Assignee: CAMTEK LTD.
    Inventors: Isaac Daniel Buzaglo, Nir Dromi
  • Patent number: 12008750
    Abstract: Currently, there is interest in applying machine learning techniques to analyse digital pathology images automatically. Machine learning techniques often rely on training with a ground-truth image input. The quality and amount of training data determines the quality of the detector, as expressed in the rate of true and false positives, and robustness against variations in the appearance of the input images. The present application proposes to obtain image data of the same sample before and after at least one re-staining step (firstly with a structure-revealing stain, and secondly with a bio marker revealing stain). Sections of the first and second image data having a good registration relationship are chosen, along with the probability of detecting a desired candidate object (such as nucleus) and the probability of the bio marker revealing stain being present annotation data suitable for training a machine learning algorithm on the first and/or the second image data is provided.
    Type: Grant
    Filed: August 14, 2019
    Date of Patent: June 11, 2024
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Fei Zuo, Anke Pierik, Reinhold Wimberger-Friedl, Koen De Laat, Marc Van Driel
  • Patent number: 12008765
    Abstract: The present invention makes it possible to estimate, with high precision, a candidate region indicating each of multiple target objects included in an image. A parameter determination unit 11 determines parameters to be used when detecting a boundary line of an image 101 based on a ratio between a density of boundary lines included in an image 101 and a density of boundary lines in a region indicated by region information 102 indicating the region including at least one of the multiple target objects included in the image 101. A boundary line detection unit 12 detects the boundary line in the image 101 using the parameter. For each of the multiple target objects included in the image 101, the region estimation unit 13 estimates the candidate region of the target object based on the detected boundary line.
    Type: Grant
    Filed: August 1, 2019
    Date of Patent: June 11, 2024
    Assignee: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
    Inventors: Yukito Watanabe, Shuhei Tarashima, Takashi Hosono, Jun Shimamura, Tetsuya Kinebuchi
  • Patent number: 12008782
    Abstract: An information processing apparatus according to an embodiment of the present technology includes an output control unit. The output control unit outputs distance information based on an actual distance between a first target object imaged by a first imaging device and a second target object imaged by a second imaging device on the basis of scale information regarding the actual distance, first position information regarding a position and an attitude of the first imaging device, and second position information regarding a position and an attitude of the second imaging device. Accordingly, a distance between two target objects can be easily and accurately measured.
    Type: Grant
    Filed: March 12, 2020
    Date of Patent: June 11, 2024
    Assignee: SONY GROUP CORPORATION
    Inventor: Jun Gomita
  • Patent number: 12002193
    Abstract: A method for processing data captured by an inspection device during inspection of a building or structure, the method comprising: receiving sets of inspection data captured by one or more inspection sensors onboard the inspection device, each set of inspection data being captured from a different region of the building or structure and being suitable for evaluating the condition of the building or structure in the respective region, each set of inspection data being captured at a respective point in time as the inspection device maneuvers relative to the building or structure; receiving sets of 3D data of the inspection device's surroundings, each set of 3D data being captured by one or more depth sensors onboard the inspection device at a respective point in time, wherein each set of 3D data comprises information indicating a distance of the device from one or more surfaces of the building or structure at the time of capture of the set of 3D data; combining the sets of 3D data to obtain a 3D map of the d
    Type: Grant
    Filed: August 26, 2022
    Date of Patent: June 4, 2024
    Assignee: SCOUTDI AS
    Inventors: Kristian Klausen, Øystein Skotheim, Morten Fyhn Amundsen
  • Patent number: 11995742
    Abstract: An image processing apparatus includes a graphical image generator that generates a first graphical image and a second graphical image, and a mode switching unit that switches between a first display mode and a second display mode so that a display displays the first graphical image or the second graphical image. Each graphical image includes a color wheel indicating a two-dimensional color space of hue and saturation and a lightness bar indicating a one-dimensional color space of lightness. In the first graphical image, each position in the color wheel and the lightness bar is indicated by the hue and saturation indicated by that position. In the second graphical image, a distribution of colors included in the color image in the color space of hue and saturation or the color space of lightness is superposed on the color wheel and the lightness bar.
    Type: Grant
    Filed: May 28, 2020
    Date of Patent: May 28, 2024
    Assignee: FANUC CORPORATION
    Inventors: Fumikazu Warashina, Yuutarou Takahashi, Wanfeng Fu
  • Patent number: 11995888
    Abstract: In a method for performing adaptive content classification of a video content item, frames of a video content item are analyzed at a sampling rate for a type of content, wherein the sampling rate dictates a frequency at which frames of the video content item are analyzed. Responsive to identifying content within at least one frame indicative of the type of content, the sampling rate of the frames is increased. Responsive to not identifying content within at least one frame indicative of the type of content, the sampling rate of the frames is decreased. It is determined whether the video content item includes the type of content based on the analyzing the frames.
    Type: Grant
    Filed: August 3, 2021
    Date of Patent: May 28, 2024
    Assignee: Snap Inc.
    Inventors: Richard Rabbat, Ernestine Fu
  • Patent number: 11995876
    Abstract: PROBLEM To provide a determining system, terminal device, and determining method that can automatically determine various types of indicators. RESOLUTION A determining system determines a status of an indicator where optical properties change under a specific environment, and is provided with: an image acquiring part that acquires an image containing the indicator; a type information acquiring part that acquires information indicating a type of the indicator; a color information acquiring part that acquires color information before change and after change of the indicator corresponding to the type; an extracting part that extracts a first region configured from a color after change of the indicator in the image based on the color information; and the status determining part that determines a shape of the first region extracted by the extracting part and status of the indicator based on a determination status corresponding to the type.
    Type: Grant
    Filed: December 12, 2019
    Date of Patent: May 28, 2024
    Assignee: 3M Innovative Properties Company
    Inventor: Fumio Karasawa
  • Patent number: 11973948
    Abstract: A predetermined context variable is assigned, according to a device, system, or method, to a first bin of a bin sequence obtained by binarizing an adaptive orthogonal transform identifier indicating a mode of adaptive orthogonal transform in image encoding and context encoding is performed for the first bin of the bin sequence. Furthermore, a predetermined context variable is assigned to a first bin of a bin sequence obtained by binarizing an adaptive orthogonal transform identifier indicating a mode of inverse adaptive orthogonal transform in image decoding and context decoding is performed for the first bin of the bin sequence.
    Type: Grant
    Filed: May 8, 2020
    Date of Patent: April 30, 2024
    Assignee: SONY GROUP CORPORATION
    Inventor: Takeshi Tsukuba
  • Patent number: 11963473
    Abstract: Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object. In some examples, a method may include, receiving data representing a policy specifying a type of action for an agricultural object, selecting an emitter with which to perform a type of action for the agricultural object as one of one or more classified subsets, and configuring the agricultural projectile delivery system to activate an emitter to propel an agricultural projectile to intercept the agricultural object.
    Type: Grant
    Filed: December 30, 2022
    Date of Patent: April 23, 2024
    Assignee: Verdant Robotics, Inc.
    Inventors: Gabriel Thurston Sibley, Curtis Dale Garner, Andre Robert Daniel Michelin, Lorenzo Ibarria, Patrick Christopher Leger, Benjamin Rewis, Shi Yan
  • Patent number: 11961305
    Abstract: Systems and methods for tracking the location of a non-destructive inspection (NDI) scanner using scan data converted into images of a target object. Scan images are formed by aggregating successive scan strips acquired using one or two one-dimensional sensor arrays. An image processor computes a change in location of the NDI scanner relative to a previous location based on the respective positions of common features in partially overlapping scan images. The performance of the NDI scanner tracking system is enhanced by: (1) using depth and intensity filtering of the scan image data to differentiate features for improved landmark identification during real-time motion control; and (2) applying a loop-closure technique using scan image data to correct for drift in computed location. The enhancements are used to improve localization, which enables better motion control and coordinate accuracy for NDI scan data.
    Type: Grant
    Filed: September 8, 2021
    Date of Patent: April 16, 2024
    Assignee: The Boeing Company
    Inventors: Walter J. Jarecki, Gregory J. Sweers, Gary E. Georgeson, James J. Troy, Phillip R. Riste, Armando X. Membrila
  • Patent number: 11958112
    Abstract: A three-dimensional (3D) printer includes a nozzle and a camera configured to capture a real image or a real video of a liquid metal while the liquid metal is positioned at least partially within the nozzle. The 3D printer also includes a computing system configured to perform operations. The operations include generating a model of the liquid metal positioned at least partially within the nozzle. The operations also include generating a simulated image or a simulated video of the liquid metal positioned at least partially within the nozzle based at least partially upon the model. The operations also include generating a labeled dataset that comprises the simulated image or the simulated video and a first set of parameters. The operations also include reconstructing the liquid metal in the real image or the real video based at least partially upon the labeled dataset.
    Type: Grant
    Filed: June 24, 2021
    Date of Patent: April 16, 2024
    Assignee: XEROX CORPORATION
    Inventors: Robert R. Price, Raja Bala, Svyatoslav Korneev, Christoforos Somarakis, Matthew Shreve, Adrian Lew, Palghat Ramesh
  • Patent number: 11954595
    Abstract: Provided is a method, performed by an electronic device, of recognizing an object included in an image, the method including: extracting first object information from a first object included in a first image, obtaining a learning model for generating an image including a second object from the first object information, generating a second image including the second object by inputting the first object information to the learning model, comparing the first image with the second image, and recognizing the first object as the second object in the first image, based on a result of the comparing.
    Type: Grant
    Filed: August 16, 2019
    Date of Patent: April 9, 2024
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Yehoon Kim, Chanwon Seo
  • Patent number: 11948311
    Abstract: A combined physics-based and machine learning framework is used for reconstructing images from k-space data, in which motion artifacts are significantly reduced in the reconstructed images. In general, model-based retrospective motion correction techniques are accelerated using fast machine learning (“ML”) steps, which may be implemented using a trained neural network such as a convolutional neural network. In this way, the confidence of a classical physics-based reconstruction is obtained with the computational benefits of an ML-based network.
    Type: Grant
    Filed: March 26, 2020
    Date of Patent: April 2, 2024
    Assignee: The General Hospital Corporation
    Inventors: Stephen Cauley, Melissa Haskell, Lawrence Wald
  • Patent number: 11947345
    Abstract: System and method for intelligently monitoring the production line that can monitor an inspected object image captured by an image capturing device, thereby allowing an operating station host to provide a labeling module to reinspect a classification decision of a classifier subsystem, to achieve the purpose of verifying the classification decision or checking whether there are missed inspections. In addition, the classifier subsystem can automatically filter out classification decisions with lower reliability to effectively reduce the number of reinspection. Moreover, a group of inspected object images can be analyzed first to obtain image difference features through comparison, which is suitable for insufficient training samples. Furthermore, the labeling module can simultaneously reinspect highly relevant historical classification decisions.
    Type: Grant
    Filed: January 12, 2021
    Date of Patent: April 2, 2024
    Assignee: MEMORENCE AI CO., LTD.
    Inventor: Pai-Heng Hsiao
  • Patent number: 11948388
    Abstract: The present disclosure relates to a user recognition method and a user recognition apparatus using a two-dimensional (2D) electromyogram (EMG) spectrogram image. The user recognition method using a 2D EMG spectrogram image may include (a) acquiring a one-dimensional EMG signal for a user, (b) converting the acquired one-dimensional EMG signal to a 2D EMG spectrogram image including a temporal feature and a frequency feature, and (c) recognizing the user based on the 2D EMG spectrogram image.
    Type: Grant
    Filed: July 22, 2021
    Date of Patent: April 2, 2024
    Assignee: Industry-Academic Cooperation Foundation, Chosun University
    Inventors: Sung Bum Pan, Jae Myung Kim, Gyu Ho Choi
  • Patent number: 11943184
    Abstract: Provided are a device and method for providing a notification message related to content. The method includes: recognizing an action related to at least one object in the image content by applying the image content to a first artificial intelligence model for identifying the action of the at least one object; determining target images for identifying the at least one object in the image content; obtaining identification information of the at least one object in the target images by applying the target images to at least one second artificial intelligence model for identifying the at least one object; and generating the notification message describing the image content by applying, to a third artificial intelligence model, an identification value indicating the action and the identification information of the at least one object.
    Type: Grant
    Filed: February 18, 2022
    Date of Patent: March 26, 2024
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Seohyun Back, Taeho Kil, Kyungsu Kim, Sungjin Kim, Hojin Jung