Patents by Inventor Naeim Bahrami

Naeim Bahrami 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 selection of an optimal image from a series of images
    Patent number: 10909681
    Abstract: A method for identification of an optimal image within a sequence of image frames includes inputting the sequence of images into a computer processor configured for executing a plurality of neural networks and applying a sliding window to the image sequence to identify a plurality of image frame windows. The image frame windows are processed using a first neural network trained to classify the image frames according to identified spatial features. The image frame windows are also processed using a second neural network trained to classify the image frames according to identified serial features. The results of each classification are concatenated to separate each of the image frame windows into one of two classes, one class containing the optimal image. An output is generated to display image frame windows classification as including the optimal image.
    Type: Grant
    Filed: January 3, 2019
    Date of Patent: February 2, 2021
    Assignee: The Regents of the University of California
    Inventors: Albert Hsiao, Naeim Bahrami, Tara Retson
  • AUTOMATED SELECTION OF AN OPTIMAL IMAGE FROM A SERIES OF IMAGES
    Publication number: 20200219262
    Abstract: A method for identification of an optimal image within a sequence of image frames includes inputting the sequence of images into a computer processor configured for executing a plurality of neural networks and applying a sliding window to the image sequence to identify a plurality of image frame windows. The image frame windows are processed using a first neural network trained to classify the image frames according to identified spatial features. The image frame windows are also processed using a second neural network trained to classify the image frames according to identified serial features. The results of each classification are concatenated to separate each of the image frame windows into one of two classes, one class containing the optimal image. An output is generated to display image frame windows classification as including the optimal image.
    Type: Application
    Filed: January 3, 2019
    Publication date: July 9, 2020
    Inventors: Albert Hsiao, Naeim Bahrami, Tara Retson