Patents by Inventor Lawrence Frederick Arnstein

Lawrence Frederick Arnstein 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).

  • Publication number: 20240119699
    Abstract: In one embodiment, a method includes receiving an input video comprising a plurality of image frames including an object of interest. Based on the plurality of image frames, a motion associated with the object of interest is determined, and the plurality of image frames are classified using a machine-learning model to identify one of the plurality of image frames that indicates a moment of perception of the determined motion.
    Type: Application
    Filed: October 11, 2023
    Publication date: April 11, 2024
    Inventors: Hessam BAGHERINEZHAD, Carlo Eduardo Cabanero DEL MUNDO, Anish Jnyaneshwar PRABHU, Peter ZATLOUKAL, Lawrence Frederick ARNSTEIN
  • Patent number: 11816876
    Abstract: In one embodiment, a method includes receiving an input video comprising a plurality of image frames including an object of interest. Based on the plurality of image frames, a motion associated with the object of interest is determined, and the plurality of image frames are classified using a machine-learning model to identify one of the plurality of image frames that indicates detection of the determined motion.
    Type: Grant
    Filed: May 3, 2021
    Date of Patent: November 14, 2023
    Assignee: Apple Inc.
    Inventors: Hessam Bagherinezhad, Carlo Eduardo Cabanero Del Mundo, Anish Jnyaneshwar Prabhu, Peter Zatloukal, Lawrence Frederick Arnstein
  • Publication number: 20210272292
    Abstract: In one embodiment, a method includes receiving an input video comprising a plurality of image frames including an object of interest. Based on the plurality of image frames, a motion associated with the object of interest is determined, and the plurality of image frames are classified using a machine-learning model to identify one of the plurality of image frames that indicates detection of the determined motion.
    Type: Application
    Filed: May 3, 2021
    Publication date: September 2, 2021
    Inventors: Hessam BAGHERINEZHAD, Carlo Eduardo Cabanero DEL MUNDO, Anish Jnyaneshwar PRABHU, Peter ZATLOUKAL, Lawrence Frederick ARNSTEIN
  • Patent number: 10997730
    Abstract: In one embodiment, a method includes receiving a machine-learning model trained to detect a specified motion using multiple videos, wherein each video has at least one frame labeled as a moment of perception of the specified motion, identifying an object-of-interest depicted in an input video, detecting a motion of the object-of-interest, determining that the detected motion is the specified motion, and classifying one of the frames of the input video as the moment of perception of the specified motion.
    Type: Grant
    Filed: August 21, 2019
    Date of Patent: May 4, 2021
    Assignee: Xnor.AI, Inc.
    Inventors: Hessam Bagherinezhad, Carlo Eduardo Cabanero del Mundo, Anish Jnyaneshwar Prabhu, Peter Zatloukal, Lawrence Frederick Arnstein
  • Publication number: 20210056709
    Abstract: In one embodiment, a method includes receiving a machine-learning model trained to detect a specified motion using multiple videos, wherein each video has at least one frame labeled as a moment of perception of the specified motion, identifying an object-of-interest depicted in an input video, detecting a motion of the object-of-interest, determining that the detected motion is the specified motion, and classifying one of the frames of the input video as the moment of perception of the specified motion.
    Type: Application
    Filed: August 21, 2019
    Publication date: February 25, 2021
    Inventors: Hessam Bagherinezhad, Carlo Eduardo Cabanero del Mundo, Anish Jnyaneshwar Prabhu, Peter Zatloukal, Lawrence Frederick Arnstein