Patents by Inventor Sushma VENKATESH

Sushma VENKATESH 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).

  • Detection of manipulated images
    Patent number: 11450152
    Abstract: An apparatus for detecting morphed or averaged images, wherein the morphed or averaged images are synthetically generated images including information from two or more different source images corresponding to two or more subjects. The apparatus may include a feature extraction module for receiving an input image and outputting a set of descriptor feature(s) characteristic of the image and a classifier module configured to allocate the input image either to a first class indicating that the image has been morphed or averaged or a second class indicating that it has not been morphed or averaged, based on the descriptor feature(s). The feature extraction module may include a plurality of neural networks providing complementary descriptor feature(s) to the classifier module. The apparatus further may include a fusion module for combining descriptor feature data from each neural network and transmitting the fused feature data to the classifier module.
    Type: Grant
    Filed: June 29, 2018
    Date of Patent: September 20, 2022
    Assignee: NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY (NTNU)
    Inventors: Raghavendra Ramachandra, Kiran Bylappa Raja, Sushma Venkatesh, Christoph Busch
  • DETECTION OF MANIPULATED IMAGES
    Publication number: 20200175290
    Abstract: An apparatus for detecting morphed or averaged images, wherein the morphed or averaged images are synthetically generated images including information from two or more different source images corresponding to two or more subjects. The apparatus may include a feature extraction module for receiving an input image and outputting a set of descriptor feature(s) characteristic of the image and a classifier module configured to allocate the input image either to a first class indicating that the image has been morphed or averaged or a second class indicating that it has not been morphed or averaged, based on the descriptor feature(s). The feature extraction module may include a plurality of neural networks providing complementary descriptor feature(s) to the classifier module. The apparatus further may include a fusion module for combining descriptor feature data from each neural network and transmitting the fused feature data to the classifier module.
    Type: Application
    Filed: June 29, 2018
    Publication date: June 4, 2020
    Inventors: Kiran Bylappa RAJA, Raghavendra RAMACHANDRA, Sushma VENKATESH, Christoph BUSCH