公开(公告)号：US20200219262A1

公开(公告)日：2020-07-09

申请号：US16239303

申请日：2019-01-03

Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA

Inventor： Albert Hsiao ,  Naeim Bahrami ,  Tara Retson

IPC: G06T7/00 ,  G06K9/62

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.

公开(公告)号：US10909681B2

公开(公告)日：2021-02-02

申请号：US16239303

申请日：2019-01-03

Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA

Inventor： Albert Hsiao ,  Naeim Bahrami ,  Tara Retson

IPC: G06T7/00 ,  G06K9/62

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.