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.: US15444054Application Date: 2017-02-27
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Publication No.: US10586111B2Publication Date: 2020-03-10
- Inventor: Filip Pavetic , King Hong Thomas Leung , Dmitrii Tochilkin
- Applicant: Google Inc.
- 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: G06K9/62
- IPC: G06K9/62 ; G06K9/00 ; G06K9/32 ; G06N20/00

Abstract:
A system and methods are disclosed for training a machine learning model to identify constituent images within composite images. In one implementation, a composite image is generated, where the composite image comprises a first portion containing pixel data of a first constituent image, and a second portion containing pixel data of a second constituent image. A first training input comprising pixel data of the composite image and a first target output for the first training input are generated, where the first target output identifies a position of the first portion within the composite image. The training data is provided to train the machine learning model on (i) a set of training inputs comprising the first training input and (ii) a set of target outputs comprising the first target output.
Public/Granted literature
- US20180204065A1 USING MACHINE LEARNING TO DETECT WHICH PART OF THE SCREEN INCLUDES EMBEDDED FRAMES OF AN UPLOADED VIDEO Public/Granted day:2018-07-19
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