MACHINE LEARNING MODELS FOR IDENTIFYING SPORTS TEAMS DEPICTED IN IMAGE OR VIDEO DATA

Patent №

US 10,417,499

Granted

2019-09-17

Filed 2017

Owner

GUMGUM, INC.

Lab

AI components

4

ml · vision · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15709168

Systems and methods are described for identifying at least one sports team depicted in media content, such as image or video data. Features of the media content may be provided as input to a first set of classification models that are each trained to identify at least one type of scene associated with one or more sports, then features of the media content may be provided to a second set of classification models trained to identify at least one object associated with one or more sports. Once a sport depicted in the media content is determined based on the first and second set of classification models, the system may determine a team depicted in the media content based at least in part by comparing aspects of the media content to stored data associated with various teams that play the identified sport.

Machine learningVisionKnowledge representationAI hardwareG06F 16/783G06F 16/7837G06N 3/045G06N 3/0464G06N 3/08G06N 3/09G06Q 30/0242G06Q 30/0273+36 more

AI classification

Vision1.00
Machine learning0.97
AI hardware0.76
Knowledge representation0.52
Planning0.07
Natural language0.00
Speech0.00
Evolutionary computation0.00

Ownership

GUMGUM, INC.

assignment · 446930315

Assignors

KATZ, JEFFREY BENJAMIN, CARTER, CAMBRON NEIL, KIM, BRIAN JONGMIN

On an employer assignment, the assignors are typically the inventors.

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