Patents by Inventor Ouyang Chao

Ouyang Chao 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).

  • Patent number: 11790533
    Abstract: Improving the accuracy of predicted segmentation masks, including: extracting a ground-truth RGB image buffer and a binary contour image buffer from a ground-truth RGB image container for segmentation training; generating predicted segmentation masks from the ground-truth RGB image buffer; generating second binary contours from the predicted segmentation masks using a particular algorithm; computing a segmentation loss between manually-segmented masks of the ground-truth RGB image buffer and the predicted segmentation masks; computing a contour accuracy loss between contours of the binary contour image buffer and the binary contours of the predicted segmentation masks; computing a total loss as a weighted average of the segmentation loss and the contour accuracy loss; and generating improved binary contours by compensating the contours of the binary contour image buffer with the computed total loss, wherein the improved binary contours are used to improve the accuracy of the predicted segmentation masks.
    Type: Grant
    Filed: February 18, 2021
    Date of Patent: October 17, 2023
    Assignees: Sony Group Corporation, Sony Pictures Entertainment Inc.
    Inventors: Mengyu Chen, Miaoqi Zhu, Yoshikazu Takashima, Ouyang Chao, Daniel De La Rosa, Michael Lafuente, Stephen Shapiro
  • Patent number: 11410319
    Abstract: Methods and systems including: applying a gamma adjustment to frames of an input video with particular values of parameters to generate at least one set of gamma-adjusted frames to generate at least one set of gamma-adjusted frames; applying a segmentation technique to the at least one set of gamma-adjusted frames to generate segmentation masks; applying an optical flow technique to the at least one set of the gamma-adjusted frames to generate optical flow maps; and combining the segmentation masks and the optical flow maps to generate hybrid segmentation masks.
    Type: Grant
    Filed: February 18, 2021
    Date of Patent: August 9, 2022
    Assignees: Sony Group Corporation, Sony Pictures Entertainment, Inc.
    Inventors: Mengyu Chen, Miaoqi Zhu, Yoshikazu Takashima, Ouyang Chao, Daniel De La Rosa, Michael Lafuente, Stephen Shapiro
  • Publication number: 20220005206
    Abstract: Methods and systems including: applying a gamma adjustment to frames of an input video with particular values of parameters to generate at least one set of gamma-adjusted frames to generate at least one set of gamma-adjusted frames; applying a segmentation technique to the at least one set of gamma-adjusted frames to generate segmentation masks; applying an optical flow technique to the at least one set of the gamma-adjusted frames to generate optical flow maps; and combining the segmentation masks and the optical flow maps to generate hybrid segmentation masks.
    Type: Application
    Filed: February 18, 2021
    Publication date: January 6, 2022
    Inventors: Mengyu Chen, Miaoqi Zhu, Yoshikazu Takashima, Ouyang Chao, Daniel De La Rosa, Michael Lafuente, Stephen Shapiro
  • Publication number: 20220005200
    Abstract: Improving the accuracy of predicted segmentation masks, including: extracting a ground-truth RGB image buffer and a binary contour image buffer from a ground-truth RGB image container for segmentation training; generating predicted segmentation masks from the ground-truth RGB image buffer; generating second binary contours from the predicted segmentation masks using a particular algorithm; computing a segmentation loss between manually-segmented masks of the ground-truth RGB image buffer and the predicted segmentation masks; computing a contour accuracy loss between contours of the binary contour image buffer and the binary contours of the predicted segmentation masks; computing a total loss as a weighted average of the segmentation loss and the contour accuracy loss; and generating improved binary contours by compensating the contours of the binary contour image buffer with the computed total loss, wherein the improved binary contours are used to improve the accuracy of the predicted segmentation masks.
    Type: Application
    Filed: February 18, 2021
    Publication date: January 6, 2022
    Inventors: Mengyu Chen, Miaoqi Zhu, Yoshikazu Takashima, Ouyang Chao, Daniel De La Rosa, Michael Lafuente, Stephen Shapiro