Patents by Inventor Sai Harshita Tupili

Sai Harshita Tupili 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).

  • Text and line detection in video encode by using co-sited gradient and variance values
    Patent number: 11490090
    Abstract: Methods and devices are provided for encoding video. By using co-sited gradient and variance values to detect text and line in frames of the video. A processor is configured to receive a plurality of frames of video, determine, for a portion of a frame, a variance of the portion of the frame and a gradient of the portion of the frame and encode, using one of a plurality of different encoding qualities, the portion of the frame based on the gradient and the variance of the portion of the frame. Encoding is performed at both the sub-frame level and frame level. The portion of the frame is classified into one of a plurality of categories based on the gradient and variance and encoded based on the category.
    Type: Grant
    Filed: December 30, 2020
    Date of Patent: November 1, 2022
    Assignee: ATI Technologies ULC
    Inventors: Mehdi Saeedi, Sai Harshita Tupili, Yang Liu, Mingkai Shao, Gabor Sines
  • TEXT AND LINE DETECTION IN VIDEO ENCODE BY USING CO-SITED GRADIENT AND VARIANCE VALUES
    Publication number: 20220210429
    Abstract: Methods and devices are provided for encoding video. By using co-sited gradient and variance values to detect text and line in frames of the video. A processor is configured to receive a plurality of frames of video, determine, for a portion of a frame, a variance of the portion of the frame and a gradient of the portion of the frame and encode, using one of a plurality of different encoding qualities, the portion of the frame based on the gradient and the variance of the portion of the frame. Encoding is performed at both the sub-frame level and frame level. The portion of the frame is classified into one of a plurality of categories based on the gradient and variance and encoded based on the category.
    Type: Application
    Filed: December 30, 2020
    Publication date: June 30, 2022
    Applicant: ATI Technologies ULC
    Inventors: Mehdi Saeedi, Sai Harshita Tupili, Yang Liu, Mingkai Shao, Gabor Sines