Patents by Inventor Sumohana S. Channappayya

Sumohana S. Channappayya 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).

  • Automated system and method of retaining images based on a user's feedback on image quality
    Patent number: 10607326
    Abstract: An automated system and method for retaining images in a smart phone are disclosed. The system may then determine a no-reference quality score of the image using a PIQUE module. The PIQUE module utilizes block level features of the image to determine the no-reference quality score. The system may present the image and the no-reference quality score to the user and accept a feedback towards quality of the image. The system may utilize a supervised learning model for continually learning a user's perception of quality of the image, the no-reference quality score determined by the PIQUE module, and the user feedback. Based on the learning, the supervised learning model may adapt the no-reference quality score and successively the image may either be retained or isolated for deletion, based on the adapted quality score and a predefined threshold range.
    Type: Grant
    Filed: October 5, 2017
    Date of Patent: March 31, 2020
    Assignee: Uurmi Systems PVT LTD
    Inventors: Shanti Swarup Medasani, Sumohana S Channappayya, Venkatanath Neeluri, Maruthi Chandrasekhar Bhatlapenumarti
  • AUTOMATED SYSTEM AND METHOD OF RETAINING IMAGES BASED ON A USER'S FEEDBACK ON IMAGE QUALITY
    Publication number: 20190108627
    Abstract: An automated system and method for retaining images in a smart phone are disclosed. The system may then determine a no-reference quality score of the image using a PIQUE module. The PIQUE module utilizes block level features of the image to determine the no-reference quality score. The system may present the image and the no-reference quality score to the user and accept a feedback towards quality of the image. The system may utilize a supervised learning model for continually learning a user's perception of quality of the image, the no-reference quality score determined by the PIQUE module, and the user feedback. Based on the learning, the supervised learning model may adapt the no-reference quality score and successively the image may either be retained or isolated for deletion, based on the adapted quality score and a predefined threshold range.
    Type: Application
    Filed: October 5, 2017
    Publication date: April 11, 2019
    Applicant: Uurmi Systems PVT. LTD.
    Inventors: Shanti Swarup Medasani, Sumohana S. Channappayya, Venkatanath Neeluri, Maruthi Chandrasekhar Bhatlapenumarti