IP Library Granted Patent US 12,069,336
Granted Patent B2
US 12,069,336 · App. 17/974,492 · Granted Aug 20, 2024

Methods and apparatus to determine audience engagement

Inventors: James Joseph Vitt (Palm Harbor, FL); Timothy Scott Cooper (Tarpon Springs, FL); Douglas Brent Turnbow (Odessa, FL); Troy E. McClellan (Tampa, FL)
Assignee: The Nielsen Company (US), LLC
H04N21/44218H04N21/4667
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Quick Facts
Patent No.
US 12,069,336
App. No.
17/974,492
Granted
Aug 20, 2024
Kind
B2
Abstract

Methods, apparatus, systems, and articles of manufacture are disclosed. An example system includes: interface circuitry; programmable circuitry; and instructions to program the programmable circuitry to: obtain audio of a media presentation; obtain ambient noise in an area associated with the media presentation; determine an intensity of a difference between the audio and the ambient noise; and determine an engagement level of an audience of the media presentation based on a duration the intensity satisfies a threshold value.

Claims (43)

1. A system comprising:

interface circuitry;

a processor; and

a memory storing instructions that, when executed by the processor, cause the system to perform operations comprising:

obtaining audio of a media presentation;

obtaining ambient noise in an area associated with the media presentation;

determining an intensity of a difference between the audio and the ambient noise; and

determining an engagement level of an audience of the media presentation based on a duration of the intensity of the difference between the audio and the ambient noise exceeding a threshold value.

2. The system of claim 1 , wherein the media presentation is a television program displayed on a television, the audio is audio of the television program played through a speaker, and the operations further comprise:

obtaining the audio from a first microphone directed at the speaker; and

obtaining the ambient noise from a second microphone directed at the area associated with the media presentation.

3. The system of claim 1 , wherein the determination of the engagement level is based on an output of a neural network classifier.

4. The system of claim 1 , wherein the operations further comprise: determining that the audience is not engaged when the intensity is greater than the threshold value.

5. The system of claim 1 , wherein the operations further comprise: determining that the audience is engaged when the intensity is less than the threshold value.

6. The system of claim 1 , wherein the engagement level of the audience is inversely proportional to the intensity of the difference between the audio and the ambient noise.

7. The system of claim 1 , wherein the operations further comprise:

determining if an audience member is present based on activity of a meter device.

8. The system of claim 1 , wherein the determination of the engagement level is based on a genre of the audio and at least one of an audio volume change or a channel change.

9. A non-transitory computer readable storage medium having stored thereon program instructions that, upon execution by a processor, cause performance of a set of operations comprising:

obtaining audio of a media presentation;

obtaining ambient noise in an area associated with the media presentation;

determining an intensity of a difference between the audio and the ambient noise; and

determining an engagement level of an audience of the media presentation based on a duration of the intensity of the difference between the audio and the ambient noise exceeding a threshold value.

10. The non-transitory computer readable storage medium of claim 9 , wherein the media presentation is a television program displayed on a television, the audio is audio of the television program played through a speaker, and wherein the operations further comprise:

obtaining the audio from a first microphone directed at the speaker; and

obtaining the ambient noise from a second microphone directed at the area associated with the media presentation.

11. The non-transitory computer readable storage medium of claim 9 , wherein the determination of the engagement level is based on an output of a neural network classifier.

12. The non-transitory computer readable storage medium of claim 9 wherein the operations further comprise: determining that the audience is not engaged when the intensity is greater than the threshold value.

13. The non-transitory computer readable storage medium of claim 9 wherein the operations further comprise: determining that the audience is engaged when the intensity is less than the threshold value.

14. The non-transitory computer readable storage medium of claim 9 , wherein the engagement level of the audience is inversely proportional to the intensity of the difference between the audio and the ambient noise.

15. The non-transitory computer readable storage medium of claim 9 , wherein the operations further comprise:

determining if an audience member is present based on activity of a meter device.

16. The non-transitory computer readable storage medium of claim 9 , wherein the determination of the engagement level is based on a genre of the audio and at least one of an audio volume change or a channel change.

17. A method comprising:

obtaining, by executing an instruction with a processor, audio of a media presentation;

obtaining, by executing an instruction with the processor, ambient noise in an area associated with the media presentation;

determining, by executing an instruction with the processor, an intensity of a difference between the audio and the ambient noise; and

determining, by executing an instruction with the processor, an engagement level of an audience of the media presentation based on a duration of the intensity of the difference between the audio and the ambient noise exceeding a threshold value.

18. The method of claim 17 , wherein the media presentation is a television program displayed on a television, the audio is audio of the television program played through a speaker, and the method further comprises:

obtaining the audio from a first microphone directed at the speaker; and

obtaining the ambient noise from a second microphone directed at the area associated with the media presentation.

19. The method of claim 17 , wherein the determining of the engagement level is based on an output of a neural network classifier.

20. The method of claim 17 , further comprising: determining that the audience is not engaged when the intensity is greater than the threshold value.

Assignments (4)
SECURITY INTEREST Recorded May 8, 2023
From: GRACENOTE DIGITAL VENTURES, LLC; GRACENOTE MEDIA SERVICES, LLC; GRACENOTE, INC.; TNC (US) HOLDINGS, INC.; THE NIELSEN COMPANY (US), LLC
To: ARES CAPITAL CORPORATION
Reel/Frame 063574/0632 →
SECURITY INTEREST Recorded Apr 28, 2023
From: GRACENOTE DIGITAL VENTURES, LLC; GRACENOTE MEDIA SERVICES, LLC; GRACENOTE, INC.; TNC (US) HOLDINGS, INC.; THE NIELSEN COMPANY (US), LLC
To: CITIBANK, N.A.
Reel/Frame 063561/0381 →
SECURITY AGREEMENT Recorded Jan 31, 2023
From: GRACENOTE DIGITAL VENTURES, LLC; GRACENOTE MEDIA SERVICES, LLC; GRACENOTE, INC.; TNC (US) HOLDINGS, INC.; THE NIELSEN COMPANY (US), LLC
To: BANK OF AMERICA, N.A.
Reel/Frame 063560/0547 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 20, 2022
From: VITT, JAMES JOSEPH; COOPER, TIMOTHY SCOTT; TURNBOW, DOUGLAS BRENT; MCCLELLAN, TROY E.
To: THE NIELSEN COMPANY (US), LLC
Reel/Frame 061970/0422 →
Continuity (1)
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