Patents by Inventor Kristina Olegovna Rakova

Kristina Olegovna Rakova 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).

  • Occlusion processing for frame rate conversion using deep learning
    Patent number: 11889227
    Abstract: A method for converting a frame rate of an input video is provided. The method includes performing a motion estimation by generating at least one motion field for at least one pair of frames of the input video, wherein the at least one motion field includes a set of motion vectors for each block of a first reference frame of the input video, the set of motion vectors indicating to a second reference frame of the input video, and preparing first data for a predetermined interpolation phase for each block of an interpolated frame, where the first data include at least one parameter for a pre-trained occlusion processing (OcC) convolutional neural network (CNN), the at least one parameter being obtained based on the at least one motion field.
    Type: Grant
    Filed: November 15, 2021
    Date of Patent: January 30, 2024
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Petr Pohl, Sergei Dmitrievich Ilichev, Igor Mironovich Kovliga, Kristina Olegovna Rakova
  • OCCLUSION PROCESSING FOR FRAME RATE CONVERSION USING DEEP LEARNING
    Publication number: 20220109807
    Abstract: A method for converting a frame rate of an input video is provided. The method includes performing a motion estimation by generating at least one motion field for at least one pair of frames of the input video, wherein the at least one motion field includes a set of motion vectors for each block of a first reference frame of the input video, the set of motion vectors indicating to a second reference frame of the input video, and preparing first data for a predetermined interpolation phase for each block of an interpolated frame, where the first data include at least one parameter for a pre-trained occlusion processing (OcC) convolutional neural network (CNN), the at least one parameter being obtained based on the at least one motion field.
    Type: Application
    Filed: November 15, 2021
    Publication date: April 7, 2022
    Applicant: Samsung Electronics Co., Ltd.
    Inventors: Petr Pohl, Sergei Dmitrievich Ilichev, Igor Mironovich Kovliga, Kristina Olegovna Rakova