Patents Examined by Mark Roz
  • Patent number: 11417147
    Abstract: The present invention provides an angle interference resistant and occlusion interference resistant fast face recognition method, comprising: first collecting a training set of images which have been detected and cropped, adjusting and expanding the training set, and conducting standardized pre-processing; inputting the same into a constructed neural network for training, and saving a parametric model; adjusting test data to a suitable size and number of channels, and also conducting standardized pre-processing; inputting the same into a prediction network to obtain feature vectors of face images; and determining whether two faces are from the same person by calculating a distance between the feature vectors of the face images.
    Type: Grant
    Filed: December 31, 2018
    Date of Patent: August 16, 2022
    Assignee: SOUTH CHINA UNIVERSITY OF TECHNOLOGY
    Inventors: Han Huang, Di Liu, Zhifeng Hao
  • Patent number: 11410291
    Abstract: A method includes receiving one or more sets of wafer data, identifying one or more primitives from one or more shapes in one or more layers in the one or more sets of wafer data, classifying each of the one or more primitives as a particular primitive type, identifying one or more primitive characteristics for each of the one or more primitives, generating a primitive database of the one or more primitives, generating one or more rules based on the primitive database, receiving one or more sets of design data, applying the one or more rules to the one or more sets of design data to identify one or more critical areas, and generating one or more wafer inspection recipes including the one or more critical areas for an inspection sub-system.
    Type: Grant
    Filed: July 6, 2020
    Date of Patent: August 9, 2022
    Assignee: KLA Corporation
    Inventors: Prasanti Uppaluri, Rajesh Manepalli, Ashok V. Kulkarni, Saibal Banerjee, John Kirkland
  • Patent number: 11403879
    Abstract: A method and for child state analysis, a vehicle, an electronic device, and a storage medium are provided. The method includes: performing face feature extraction on at least one image frame in an obtained video stream; classifying whether a person in the image is a child and at least one state of the person according to face features to obtain a first classification result of whether the person in the image is a child, and a second classification result of the at least one state of the person; outputting the first classification result and the second classification result; and/or outputting prompt information according to the first classification result and the second classification result.
    Type: Grant
    Filed: May 27, 2020
    Date of Patent: August 2, 2022
    Assignee: BEIJING SENSETIME TECHNOLOGY DEVELOPMENT CO., LTD.
    Inventors: Fei Wang, Keyu Chen, Chen Qian
  • Patent number: 11386582
    Abstract: A process for reducing time of transmission for single-band, multiple-band or hyperspectral imagery using Machine Learning based compression is disclosed. The process uses Machine Learning to compress single-band, multiple-band and hyperspectral imagery, thereby decreasing the needed bandwidth and storage-capacity requirements for efficient transmission and data storage. The reduced file size for transmission accelerate the communications and reduces the transmission time. This enhances communications systems where there is a greater need for on or near real-time transmission, such as mission critical applications in national security, aerospace and natural resources.
    Type: Grant
    Filed: February 4, 2020
    Date of Patent: July 12, 2022
    Assignee: MLVX Technologies
    Inventors: Migel Dileepa Tissera, Francis George Doumet
  • Patent number: 11386706
    Abstract: A method for adding biometric authentication training data into databases performed by a biometric authentication data classification device includes: extracting first biometric characteristic information from at least one candidate biometric training data for biometric authentication using an artificial neural network model; calculating an overall similarity between the first biometric characteristic information and second biometric characteristic information extracted from a performance test database of which a biometric authentication performance is lower than a threshold level, the performance test database being selected among performance test databases for the biometric authentication; and adding the at least one candidate biometric training data into one of the biometric authentication training database and the performance test database based on the calculated overall similarity.
    Type: Grant
    Filed: November 30, 2021
    Date of Patent: July 12, 2022
    Assignee: Suprema Inc.
    Inventors: Hyogi Lee, Kideok Lee, Bong Seop Song
  • Patent number: 11382594
    Abstract: Various systems and methods are provided for interventional imaging with remote processing. In one embodiment, a method for an imaging system comprises, during a scan, transmitting data to a remote computing system, controlling the imaging system according to results of remote processing of the data via the remote computing system responsive to receiving the results of the remote processing before a latency deadline, and controlling the imaging system according to results of local processing at the imaging system responsive to receive the results of the remote processing after the latency deadline. In this way, improved or enhanced images may be processed remotely and displayed to a user in real-time during an interventional procedure, and locally-processed images may be displayed if the remote processing is delayed.
    Type: Grant
    Filed: December 31, 2018
    Date of Patent: July 12, 2022
    Assignee: General Electric Company
    Inventors: Francois Kotian, Francisco Sureda
  • Patent number: 11373060
    Abstract: A training method for video stabilization and an image processing device using the same are proposed. The method includes the following steps. An input video including low dynamic range (LDR) images is received. The LDR images are converted to high dynamic range (HDR) images by using a first neural network. A second neural network for video stabilization is trained to generate stabilized HDR images in a time-dependent manner.
    Type: Grant
    Filed: May 25, 2020
    Date of Patent: June 28, 2022
    Assignee: Novatek Microelectronics Corp.
    Inventors: Jen-Huan Hu, Wei-Ting Chen, Yu-Che Hsiao, Shih-Hsiang Lin, Po-Chin Hu, Yu-Tsung Hu, Pei-Yin Chen
  • Patent number: 11354811
    Abstract: A material data collection system allows capturing of material data. For example, the material data collection system may include digital image data for materials. The material data collection system may ensure that captured digital image data is properly aligned, so that material data may be easily recalled for later use, while maintaining the proper alignment for the captured digital image. The material data collection system may include using a capture guide, to provide cues on how to orient a mobile device used with the material data collection system.
    Type: Grant
    Filed: June 20, 2019
    Date of Patent: June 7, 2022
    Assignee: Centric Software, Inc.
    Inventors: Humberto Roa, Rammohan Akula, Fabrice Canonge, Nicholas Fjellberg Swerdlowe, Rohit Ghatol, Grif Von Holst
  • Patent number: 11338102
    Abstract: A method of determining facial metrics of a patient includes: capturing a first image of the patient with an image capturing device positioned in a first known position with the assistance of a positioning device, capturing a second image of the patient with the image capturing device positioned in a second known position different that the first known position with the assistance of the positioning device, and determining facial metrics of the patient by analyzing the first image and the second image.
    Type: Grant
    Filed: December 14, 2018
    Date of Patent: May 24, 2022
    Assignee: Koninklijke Philips N.V.
    Inventors: Peter Chi Fai Ho, Richard Thomas Haibach, Daniel Steed, Robert William Baiko
  • Patent number: 11336904
    Abstract: A video coder includes a processing resource and a non-transitory storage device containing instructions executable by the processing resource to compute a weighted ? frame based on a saliency map and a ? frame. The saliency map is to indicate the relative importance of each pixel in a current frame based on its perceptual significance. The ? frame is to include differences between corresponding pixels in a current frame and a motion predicted frame.
    Type: Grant
    Filed: November 6, 2019
    Date of Patent: May 17, 2022
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Mark Q. Shaw, Jan P. Allebach, Edward J. Delp
  • Patent number: 11336908
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for compressing images using neural networks. One of the methods includes receiving an image; processing the image using an encoder neural network, wherein the encoder neural network is configured to receive the image and to process the image to generate an output defining values of a first number of latent variables that each represent a feature of the image; generating a compressed representation of the image using the output defining the values of the first number of latent variables; and providing the compressed representation of the image for use in generating a reconstruction of the image.
    Type: Grant
    Filed: September 27, 2019
    Date of Patent: May 17, 2022
    Assignee: DeepMind Technologies Limited
    Inventors: Daniel Pieter Wierstra, Karol Gregor, Frederic Olivier Besse
  • Patent number: 11334768
    Abstract: Systems, methods, devices, media, and computer-readable instructions are described for local image tagging and processing in a resource-constrained environment such as a mobile device. In some embodiments, characteristics associated with images are used to determine whether to store content (e.g., images and video clips) as ephemeral content or non-ephemeral content. Based on the determination, the image is stored in a non-ephemeral camera roll storage of the mobile device, or an ephemeral local application storage. Additional storage operations such as encryption or backup copying may additionally be determined and performed based on the analysis of the content. In some embodiments, such images may be indexed, sorted, and searched based on the image tagging operations used to characterize the content.
    Type: Grant
    Filed: November 6, 2019
    Date of Patent: May 17, 2022
    Assignee: Snap Inc.
    Inventor: Jonathan Brody
  • Patent number: 11308402
    Abstract: Artificial intelligence (AI) techniques that map disallowed states and enable access to those states under certain conditions through a search algorithm are disclosed. In other words, scenario boundaries may be crossed by jumping from one scenario that is less desirable or even has no solution to another scenario that is more desirable.
    Type: Grant
    Filed: July 2, 2020
    Date of Patent: April 19, 2022
    Assignee: THE AEROSPACE CORPORATION
    Inventors: Terence Yeoh, Nehal Desai
  • Patent number: 11310532
    Abstract: A method or device for reconstructing image data representative of original image data from decoded image data and parameters obtained from a bitstream is described. The parameters having been processed from the original image data. The method includes checking if parameters are lost, corrupted or not aligned with the decoded image data whose graphics or overlay is added to, when at least one of the parameters is lost, corrupted or not aligned with the decoded image data whose graphics or overlay is added to; selecting a recovery mode according to an information data indicating how the parameters have been processed; and recovering the at least one lost, corrupted or not aligned parameter by applying the selected recovery mode, the reconstruction of image data then taking also into account the recovered parameters.
    Type: Grant
    Filed: January 11, 2018
    Date of Patent: April 19, 2022
    Assignee: INTERDIGITAL VC HOLDINGS, INC.
    Inventors: Pierre Andrivon, David Touze, Nicolas Caramelli
  • Patent number: 11308365
    Abstract: An image classification system is provided for determining a likely classification of an image using multiple machine learning models that share a base machine learning model. The image classification system may be a browser-based system on a user computing device that obtains multiple machine learning models over a network from a remote system once, stores the models locally in the image classification system, and uses the models multiple times without needing to subsequently request the machine learning models again from the remote system. The image classification system may therefore determine likely a classification associated with an image by running the machine learning models on a user computing device.
    Type: Grant
    Filed: June 13, 2019
    Date of Patent: April 19, 2022
    Assignee: Expedia, Inc.
    Inventors: Li Wen, Zhanpeng Huo, Jingya Jiang
  • Patent number: 11301982
    Abstract: A method includes identifying a first geometric pattern that failed a design rule check, identifying a second geometric pattern that passed the design rule check, morphing the first geometric pattern based on the second geometric pattern to generate a morphed geometric pattern, wherein the morphed geometric pattern passes the design rule check, and replacing the first geometric pattern with the morphed geometric pattern.
    Type: Grant
    Filed: August 30, 2019
    Date of Patent: April 12, 2022
    Assignee: Intel Corporation
    Inventors: Bikram Baidya, Hale Erten, Allan Gu, John A. Swanson, Vivek K. Singh, Abde Ali Hunaid Kagalwalla, Mengfei Yang-Flint
  • Patent number: 11295120
    Abstract: A method of adapting a display comprises receiving a sequence of a plurality of facial images of a face of at least one user located in front of a display; analyzing the plurality of facial images to detect a hand to face gesture of the user; and updating, according to the hand to face gesture, a dataset documenting a plurality of facial touch event frequencies of a plurality of facial touch events in a plurality of facial locations. Each of the plurality of facial touch events is prompted by one of a plurality of previously captured hand to face gestures of the user. The method further comprises, based on the plurality of facial touch event frequencies, generating a presentation on the display. In response to detection of an impending facial touch, a destruction event may be depicted. A presentation may be also generated showing scoring of multiple persons.
    Type: Grant
    Filed: May 6, 2020
    Date of Patent: April 5, 2022
    Assignee: NEC Corporation Of America
    Inventor: Tsvi Lev
  • Patent number: 11297333
    Abstract: An image coding method of coding an image on a per coding unit basis, the method comprising: applying a frequency transform to luminance data and chrominance data of transform units in the coding unit including predetermined blocks each corresponding to one or more of the transform units; and coding the luminance data and the chrominance data to which the frequency transform has been applied to generate a bitstream in which the luminance data and the chrominance data are grouped on a per predetermined block basis.
    Type: Grant
    Filed: October 18, 2019
    Date of Patent: April 5, 2022
    Assignee: SUN PATENT TRUST
    Inventors: Kengo Terada, Takahiro Nishi, Youji Shibahara, Kyoko Tanikawa, Hisao Sasai, Toshiyasu Sugio, Toru Matsunobu
  • Patent number: 11286310
    Abstract: An apparatus can include a processor that can receive location data from a user device, and store the location data in a user profile data structure also storing facial recognition data. The processor can also receive at least one image, and can identify a location based at least in part on a set of characteristics within the at least one image. The processor can, for each user profile data structure stored in a database, compare location data in that user profile data structure to the location. The processor can, when the location data of the user profile data structure and the location match, conduct facial recognition to determine whether the user associated with the user profile data structure can be identified in the at least one image. The processor can then associate the at least one image with the user profile data structure if the user can be identified.
    Type: Grant
    Filed: May 4, 2020
    Date of Patent: March 29, 2022
    Assignee: 15 SECONDS OF FAME, INC.
    Inventors: Adam Resnick, Ruslan Sabitov, Brett Joshpe
  • Patent number: 11270469
    Abstract: An apparatus for performing artificial intelligence (AI) encoding on an image includes: a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory to: determine a resolution of an original image; when the resolution of the original image is higher than a predetermined value, obtain a first image by performing AI downscaling on the original image via a downscaling deep neural network (DNN); when the resolution of the original image is lower than or equal to the predetermined value, obtain a first image by performing AI one-to-one preprocessing on the original image via a one-to-one preprocessing DNN for upscaling; generate image data by performing first encoding on the first image; and transmit the image data and AI data including information related to the AI downscaling or information related to the AI one-to-one preprocessing.
    Type: Grant
    Filed: May 28, 2021
    Date of Patent: March 8, 2022
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Chaeeun Lee, Jaehwan Kim, Youngo Park