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US Patent 10430662 Training machine learning models to detect objects in video data

Patent 10430662 was granted and assigned to GumGum on October, 2019 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Applicant
GumGum
GumGum
Current Assignee
GumGum
GumGum
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10430662
Patent Inventor Names
Cambron Neil Carter10
Jeffrey Benjamin Katz10
Brian Jongmin Kim10
Date of Patent
October 1, 2019
Patent Application Number
15709192
Date Filed
September 19, 2017
Patent Citations
‌
US Patent 10007863 Logo recognition in images and videos
Patent Citations Received
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US Patent 12131536 Video surveillance with neural networks
3
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US Patent 11625874 System and method for intelligently generating digital composites from user-provided graphics
4
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US Patent 11682415 Automatic video tagging
5
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US Patent 11301715 System and method for preparing digital composites for incorporating into digital visual media
6
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US Patent 12002128 Content feedback based on region of view
7
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US Patent 12081617 Networked system for real-time computer-aided augmentation of live input video stream
8
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US Patent 12124509 Automated media analysis for sponsor valuation
9
Patent Primary Examiner
Jon Chang
Jon Chang
Patent abstract

Systems and methods are described for training machine learning models to detect objects in image or video data. A system may select a first sample set of frames from one or more video files. Indications of a location of an object of interest in each of at least two sample frames may be received, then the system may determine the location of the object of interest across a number of intermediary frames using a tracker. Annotation data may be stored identifying the objects of interest in the sample frames, and the annotation data may be used in training a machine learning model to identify the object of interest in subsequently provided image or video data.

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