Patents by Inventor Deepali Arya

Deepali Arya 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: 20240177359
    Abstract: A machine learning (ML) model is trained using pairs of images. Each pair includes an image of a human face and a duplicate of the image with a computer game headset overlaid on the face using computer graphics. The ML model subsequently can be used to receive an image of a gamer wearing a headset and output a full-face image of the gamer for use in, e.g., social network settings related to the game.
    Type: Application
    Filed: November 30, 2022
    Publication date: May 30, 2024
    Inventors: Rathish Krishnan, Deepali Arya, Manoj Srivastava, Seema Kataria
  • Patent number: 11546610
    Abstract: Video stream data is selectively scaled so that sections within regions of interest (ROI) maintain high resolution while areas not within the region of interest are down-scaled to reduce bandwidth cost of transmission. A low compression encoder compresses sections of a video frame corresponding to one or more ROI without motion search or prediction mode decision to generate low-compression section data. The video frame is downscaled and a high compression encoder compresses the resulting downscaled video frame with prediction mode decision to generate high-compression frame data.
    Type: Grant
    Filed: May 6, 2021
    Date of Patent: January 3, 2023
    Assignee: SONY INTERACTIVE ENTERTAINMENT INC.
    Inventors: Eric Hsuming Chen, Hung-Ju Lee, Jason N. Wang, Rathish Krishnan, Deepali Arya
  • Publication number: 20210266571
    Abstract: Video stream data is selectively scaled so that sections within regions of interest (ROI) maintain high resolution while areas not within the region of interest are down-scaled to reduce bandwidth cost of transmission. A low compression encoder compresses sections of a video frame corresponding to one or more ROI without motion search or prediction mode decision to generate low-compression section data. The video frame is downscaled and a high compression encoder compresses the resulting downscaled video frame with prediction mode decision to generate high-compression frame data.
    Type: Application
    Filed: May 6, 2021
    Publication date: August 26, 2021
    Inventors: Eric Hsuming Chen, Hung-Ju Lee, Jason N. Wang, Rathish Krishnan, Deepali Arya
  • Patent number: 11025918
    Abstract: Gaze tracking data is analyzed to determine one or more regions of interest within an image of a video stream. The video stream data is selectively scaled so that sections within the regions of interest maintain high resolution while areas not within the region of interest are down-scaled to reduce bandwidth cost of transmission. A scheme for reduction of motion sickness by reducing the size of the high resolution area is also claimed.
    Type: Grant
    Filed: December 13, 2017
    Date of Patent: June 1, 2021
    Assignee: Sony Interactive Entertainment Inc.
    Inventors: Eric Hsuming Chen, Hung-Ju Lee, Jason N. Wang, Rathish Krishnan, Deepali Arya
  • Publication number: 20180192058
    Abstract: Gaze tracking data is analyzed to determine one or more regions of interest within an image of a video stream. The video stream data is selectively scaled so that sections within the regions of interest maintain high resolution while areas not within the region of interest are down-scaled to reduce bandwidth cost of transmission. A scheme for reduction of motion sickness by reducing the size of the high resolution area is also claimed.
    Type: Application
    Filed: December 13, 2017
    Publication date: July 5, 2018
    Inventors: Eric Hsuming Chen, Hung-Ju Lee, Jason N. Wang, Rathish Krishnan, Deepali Arya