Patents by Inventor Hariprasad Prayagai Sridharasingan

Hariprasad Prayagai Sridharasingan 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).

  • Systems and methods for image processing
    Patent number: 10095950
    Abstract: Efficient image processing systems and methods for image scene classification and similarity matching are disclosed. The image processing systems encompassed by this disclosure use a deep convolutional neural network to facilitate scene classification by recognizing the context of an image and thereby enabling searches for similar images. These methods and systems are scalable to a large set of images and achieve a higher performance compared to the current state of the art techniques.
    Type: Grant
    Filed: June 2, 2016
    Date of Patent: October 9, 2018
    Assignee: HYPERVERGE INC.
    Inventors: Vignesh Krishnakumar, Hariprasad Prayagai Sridharasingan, Adarsh Amarendra Tadimari, Saivenkatesh A
  • SYSTEMS AND METHODS FOR IMAGE PROCESSING
    Publication number: 20180204062
    Abstract: Efficient image processing systems and methods for image scene classification and similarity matching are disclosed. The image processing systems encompassed by this disclosure use a deep convolutional neural network to facilitate scene classification by recognizing the context of an image and thereby enabling searches for similar images. These methods and systems are scalable to a large set of images and achieve a higher performance compared to the current state of the art techniques.
    Type: Application
    Filed: January 24, 2018
    Publication date: July 19, 2018
    Applicant: HYPERVERGE INC.
    Inventors: Vignesh KRISHNAKUMAR, Hariprasad Prayagai SRIDHARASINGAN, Adarsh Amarendra TADIMARI, Saivenkatesh A.
  • SYSTEMS AND METHODS FOR IMAGE PROCESSING
    Publication number: 20160358024
    Abstract: Efficient image processing systems and methods for image scene classification and similarity matching are disclosed. The image processing systems encompassed by this disclosure use a deep convolutional neural network to facilitate scene classification by recognizing the context of an image and thereby enabling searches for similar images. These methods and systems are scalable to a large set of images and achieve a higher performance compared to the current state of the art techniques.
    Type: Application
    Filed: June 2, 2016
    Publication date: December 8, 2016
    Inventors: Vignesh KRISHNAKUMAR, Hariprasad Prayagai Sridharasingan, Adarsh Amarendra Tadimari, Saivenkatesh A