Patents by Inventor Eytan Kats

Eytan Kats 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).

  • Neural network based patch blending for immersive video
    Patent number: 10819968
    Abstract: Embodiments are generally directed to neural network based patch blending for immersive video. An embodiment of a system includes one or more processor cores; a memory to store data for images in immersive video; and a neural network training framework. The neural network training framework is to generate a trained neural network for blending of a view of an object with patches generated for one or more detected occlusions for the object.
    Type: Grant
    Filed: July 31, 2018
    Date of Patent: October 27, 2020
    Assignee: INTEL CORPORATION
    Inventors: Ben Raziel, Asaf Shiloni, Gilad Bauman, Jill Boyce, Tzach Ashkenazi, Ilan Beer, Eytan Kats
  • VIDEO PROCESSING MECHANISM
    Publication number: 20200045344
    Abstract: An apparatus to facilitate processing video bit stream data is disclosed. The apparatus includes one or more processors to receive point cloud data included in the video bit stream data to be projected into two or more angles and encode multiple projections for a point cloud point upon a determination that the point cloud point will be included in patches in two or more of the multiple projections.
    Type: Application
    Filed: July 31, 2018
    Publication date: February 6, 2020
    Applicant: Intel Corporation
    Inventors: Jill Boyce, Atsuo Kuwahara, Tzach Ashkenazi, Ilan Beer, Eytan Kats, Prasoonkumar Surti, Kai Xiao, Jeffrey Tripp, Narayan Biswal, Jason Tanner, Nilesh Shah, Yi-Jen Chiu, Mayuresh M. Varerkar, Maria Bortman, Jonathan Distler, Itay Kaufman
  • NEURAL NETWORK BASED PATCH BLENDING FOR IMMERSIVE VIDEO
    Publication number: 20200045289
    Abstract: Embodiments are generally directed to neural network based patch blending for immersive video. An embodiment of a system includes one or more processor cores; a memory to store data for images in immersive video; and a neural network training framework. The neural network training framework is to generate a trained neural network for blending of a view of an object with patches generated for one or more detected occlusions for the object.
    Type: Application
    Filed: July 31, 2018
    Publication date: February 6, 2020
    Applicant: Intel Corporation
    Inventors: Ben Raziel, Asaf Shiloni, Gilad Bauman, Jill Boyce, Tzach Ashkenazi, Ilan Beer, Eytan Kats