Patents by Inventor Juri Katkov

Juri Katkov has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Zero-footprint image capture by mobile device
    Patent number: 11948385
    Abstract: A computer-implemented method for image capture by a mobile device, comprising: receiving, by a video capturing application running on a mobile device, a video stream from a camera of the mobile device; identifying a specific frame of the video stream; generating a plurality of hypotheses defining image borders within the specific frame; selecting, by a neural network, a particular hypothesis among the plurality of hypotheses; producing a candidate image by applying the particular hypothesis to the specific frame; determining a value of a quality metric of the candidate image; determining that the value of the quality metric of the candidate image exceeds one or more values of the quality metric of one or more previously processed images extracted from the video stream; wherein the image capture application is a zero-footprint application.
    Type: Grant
    Filed: May 23, 2022
    Date of Patent: April 2, 2024
    Assignee: ABBYY Development Inc.
    Inventors: Ivan Zagaynov, Stepan Lobastov, Juri Katkov, Vasily Shahov, Olga Titova, Ivan Khintsitskiy
  • ZERO-FOOTPRINT IMAGE CAPTURE BY MOBILE DEVICE
    Publication number: 20220284723
    Abstract: A computer-implemented method for image capture by a mobile device, comprising: receiving, by a video capturing application running on a mobile device, a video stream from a camera of the mobile device; identifying a specific frame of the video stream; generating a plurality of hypotheses defining image borders within the specific frame; selecting, by a neural network, a particular hypothesis among the plurality of hypotheses; producing a candidate image by applying the particular hypothesis to the specific frame; determining a value of a quality metric of the candidate image; determining that the value of the quality metric of the candidate image exceeds one or more values of the quality metric of one or more previously processed images extracted from the video stream; wherein the image capture application is a zero-footprint application.
    Type: Application
    Filed: May 23, 2022
    Publication date: September 8, 2022
    Inventors: Ivan Zagaynov, Stepan Lobastov, Juri Katkov, Vasily Shahov, Olga Titova, Ivan Khintsitskiy
  • Zero-footprint image capture by mobile device
    Patent number: 11380117
    Abstract: A computer-implemented method for image capture by a mobile device, comprising: receiving, by a video capturing application running on a mobile device, a video stream from a camera of the mobile device; identifying a specific frame of the video stream; generating a plurality of hypotheses defining image borders within the specific frame; selecting, by a neural network, a particular hypothesis among the plurality of hypotheses; producing a candidate image by applying the particular hypothesis to the specific frame; determining a value of a quality metric of the candidate image; determining that the value of the quality metric of the candidate image exceeds one or more values of the quality metric of one or more previously processed images extracted from the video stream; wherein the image capture application is a zero-footprint application.
    Type: Grant
    Filed: December 29, 2020
    Date of Patent: July 5, 2022
    Assignee: ABBYY Development Inc.
    Inventors: Ivan Zagaynov, Stepan Lobastov, Juri Katkov, Vasily Shahov, Olga Titova, Ivan Khintsitskiy
  • ZERO-FOOTPRINT IMAGE CAPTURE BY MOBILE DEVICE
    Publication number: 20220198188
    Abstract: A computer-implemented method for image capture by a mobile device, comprising: receiving, by a video capturing application running on a mobile device, a video stream from a camera of the mobile device; identifying a specific frame of the video stream; generating a plurality of hypotheses defining image borders within the specific frame; selecting, by a neural network, a particular hypothesis among the plurality of hypotheses; producing a candidate image by applying the particular hypothesis to the specific frame; determining a value of a quality metric of the candidate image; determining that the value of the quality metric of the candidate image exceeds one or more values of the quality metric of one or more previously processed images extracted from the video stream; wherein the image capture application is a zero-footprint application
    Type: Application
    Filed: December 29, 2020
    Publication date: June 23, 2022
    Inventors: Ivan Zagaynov, Stepan Lobastov, Juri Katkov, Vasily Shahov, Olga Titova, Ivan Khintsitskiy