Patents by Inventor Yevgeny Priziment

Yevgeny Priziment 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).

  • Unsupervised image segmentation based on a background likelihood estimation
    Patent number: 10957049
    Abstract: A method for unsupervised image segmentation based on a background likelihood estimation is described herein. The method includes calculating a distance for each pixel in an input image and transforming each distance into a probability of the distance of belonging to a background of an input image or a foreground of the input image. The method also includes transforming each probability into a log likelihood value to form a unary term and minimizing an energy function including the unary term to obtain a set of foreground labels and a set of background labels.
    Type: Grant
    Filed: September 26, 2019
    Date of Patent: March 23, 2021
    Assignee: INTEL CORPORATION
    Inventors: Tzachi Hershkovich, Yevgeny Priziment, Itay Benou
  • VIDEO BACKGROUND ESTIMATION USING SPATIO-TEMPORAL MODELS
    Publication number: 20200402243
    Abstract: Techniques related to video background estimation inclusive of generating a final background picture absent foreground objects based on input video are discussed. Such techniques include generating first and second estimated background pictures using temporal and spatial background picture modeling, respectively, and fusing the first and second estimated background pictures based on first and second confidence maps corresponding to the first and second estimated background pictures to generate the final estimated background picture.
    Type: Application
    Filed: September 3, 2020
    Publication date: December 24, 2020
    Applicant: Intel Corporation
    Inventors: Itay Benou, Yevgeny Priziment, Tzachi Herskovich
  • Unsupervised Image Segmentation Based on a Background Likelihood Estimation
    Publication number: 20200027216
    Abstract: A method for unsupervised image segmentation based on a background likelihood estimation is described herein. The method includes calculating a distance for each pixel in an input image and transforming each distance into a probability of the distance of belonging to a background of an input image or a foreground of the input image. The method also includes transforming each probability into a log likelihood value to form a unary term and minimizing an energy function including the unary term to obtain a set of foreground labels and a set of background labels.
    Type: Application
    Filed: September 26, 2019
    Publication date: January 23, 2020
    Applicant: INTEL CORPORATION
    Inventors: Tzachi Hershkovich, Yevgeny Priziment, Itay Benou