Invention Grant
- Patent Title: Automated selection of an optimal image from a series of images
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Application No.: US16239303Application Date: 2019-01-03
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Publication No.: US10909681B2Publication Date: 2021-02-02
- Inventor: Albert Hsiao , Naeim Bahrami , Tara Retson
- Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
- Applicant Address: US CA Oakland
- Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
- Current Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
- Current Assignee Address: US CA Oakland
- Agency: Musick Davison LLP
- Agent Eleanor Musick
- Main IPC: G06T7/00
- 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.
Public/Granted literature
- US20200219262A1 AUTOMATED SELECTION OF AN OPTIMAL IMAGE FROM A SERIES OF IMAGES Public/Granted day:2020-07-09
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