Patents by Inventor Sumegh Roychowdhury

Sumegh Roychowdhury 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).

  • Self-supervised hierarchical event representation learning
    Patent number: 11948358
    Abstract: Systems and methods for video processing are described. Embodiments of the present disclosure generate a plurality of image feature vectors corresponding to a plurality of frames of a video; generate a plurality of low-level event representation vectors based on the plurality of image feature vectors, wherein a number of the low-level event representation vectors is less than a number of the image feature vectors; generate a plurality of high-level event representation vectors based on the plurality of low-level event representation vectors, wherein a number of the high-level event representation vectors is less than the number of the low-level event representation vectors; and identify a plurality of high-level events occurring in the video based on the plurality of high-level event representation vectors.
    Type: Grant
    Filed: November 16, 2021
    Date of Patent: April 2, 2024
    Assignee: ADOBE INC.
    Inventors: Sumegh Roychowdhury, Sumedh A. Sontakke, Mausoom Sarkar, Nikaash Puri, Pinkesh Badjatiya, Milan Aggarwal
  • SELF-SUPERVISED HIERARCHICAL EVENT REPRESENTATION LEARNING
    Publication number: 20230154186
    Abstract: Systems and methods for video processing are described. Embodiments of the present disclosure generate a plurality of image feature vectors corresponding to a plurality of frames of a video; generate a plurality of low-level event representation vectors based on the plurality of image feature vectors, wherein a number of the low-level event representation vectors is less than a number of the image feature vectors; generate a plurality of high-level event representation vectors based on the plurality of low-level event representation vectors, wherein a number of the high-level event representation vectors is less than the number of the low-level event representation vectors; and identify a plurality of high-level events occurring in the video based on the plurality of high-level event representation vectors.
    Type: Application
    Filed: November 16, 2021
    Publication date: May 18, 2023
    Inventors: Sumegh Roychowdhury, Sumedh A. Sontakke, Mausoom Sarkar, Nikaash Puri, Pinkesh Badjatiya, Milan Aggarwal