Classifying Segments of Media Content Using Closed Captioning

Patent №

US 11,736,744

Granted

2023-08-22

Filed 2022

Owner

GRACENOTE, INC.

Lab

AI components

3

ml · nlp · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17861112

In one aspect, an example method includes (i) retrieving, from a text index, closed captioning repetition data for a segment of a sequence of media content; (ii) generating features using the closed captioning repetition data; (iii) providing the features as input to a classification model, wherein the classification model is configured to output classification data indicative of a likelihood of the features being characteristic of a program segment; (iv) obtaining the classification data output by the classification model; (v) determining a prediction of whether the segment is a program segment using the classification data; and (vi) storing the prediction for the segment in a database.

Machine learningNatural languageAI hardwareG11B 27/322H04N 21/23418G06F 40/20G11B 27/34H04N 21/26603H04N 21/84H04N 21/8456G06V 20/41+1 more

AI classification

Natural language1.00
Machine learning1.00
AI hardware0.78
Vision0.37
Speech0.21
Planning0.01
Knowledge representation0.00
Evolutionary computation0.00

Ownership

GRACENOTE, INC.

assignment · 604660930

Assignors

VARTAKAVI, ANEESH, BALASURIYA, LAKSHIKA, KO, CHIN-TING

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

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