MACHINE-LEARNING MODELS FOR TAGGING VIDEO FRAMES

Patent №

US 11,625,880

Granted

2023-04-11

Filed 2021

Owner

ELECTRONIC ARTS INC.

Lab

AI components

5

ml · nlp · vision · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17171240

According to a first aspect of this specification, there is described a computer-implemented method of tagging video frames. The method comprises generating, using a frame tagging model, a tag for each of a plurality of frames of an animation sequence. The frame tagging model comprises: a first neural network portion configured to process, for each frame of the plurality of frames, a plurality of features associated with the frame and generate an encoded representation for the frame. The frame tagging model further comprises a second neural network portion configured to receive input comprising the encoded representations of each frame and generate output indicative of a tag for each of the plurality of frames.

Machine learningNatural languageVisionKnowledge representationAI hardwareG06T 13/40H04N 21/23418A63F 13/53A63F 13/67G06F 17/18G06N 3/0442G06N 3/045G06N 3/0464+6 more

AI classification

Vision1.00
Machine learning1.00
AI hardware1.00
Natural language0.99
Knowledge representation0.99
Speech0.01
Evolutionary computation0.01
Planning0.00

Ownership

ELECTRONIC ARTS INC.

assignment · 552170147

Assignors

AKHOUNDI, ELAHEH

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

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