Invention Grant
- Patent Title: Using machine learning to detect which part of the screen includes embedded frames of an uploaded video
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Application No.: US16813686Application Date: 2020-03-09
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Publication No.: US11093751B2Publication Date: 2021-08-17
- Inventor: Filip Pavetic , King Hong Thomas Leung , Dmitrii Tochilkin
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Lowenstein Sandler LLP
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62 ; G06K9/32 ; G06N20/00

Abstract:
A system and methods are disclosed for using a trained machine learning model to identify constituent images within composite images. A method may include providing pixel data of a first image as input to the trained machine learning model, obtaining one or more outputs from the trained machine learning model, and extracting, from the one or more outputs, a level of confidence that (i) the first image is a composite image that includes a constituent image, and (ii) at least a portion of the constituent image is in a particular spatial area of the first image.
Public/Granted literature
- US20200210709A1 USING MACHINE LEARNING TO DETECT WHICH PART OF THE SCREEN INCLUDES EMBEDDED FRAMES OF AN UPLOADED VIDEO Public/Granted day:2020-07-02
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