IP Library Granted Patent US 10,565,235
Granted Patent B2
US 10,565,235 · App. 15/132,197 · Granted Feb 18, 2020

Character based media analytics

Inventors: Meghana Bhatt (Aliso Viejo, CA); Rachel Payne (Aliso Viejo, CA); Natasha Mohanty (Aliso Viejo, CA)
Assignee: THE NIELSEN COMPANY (US), LLC
G06F16/288G06F16/43G06F16/435G06F16/44G06F16/7867G06F16/951
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Quick Facts
Patent No.
US 10,565,235
App. No.
15/132,197
Granted
Feb 18, 2020
Kind
B2
Abstract

Techniques for analyzing media content are described. One technique generally comprises performing a regression analysis for characters in a plurality of media content based on user demographics, content outcome measure, and character models. The technique determines an attribute of significance. In some embodiments, the technique selects media content for display that depicts a character having at least a threshold value of the attribute of significance. In some embodiments, the technique displays media analytics for the attribute of significance determined based on a value of the attribute of significance exceeding a threshold significance value.

Claims (54)

1. A computer-implemented method comprising:

accessing a database including a plurality of character identification values associated with a plurality of character models, wherein character models of the plurality of character models characterize respective characters present in respective videos using a plurality of character attributes, and wherein character models of the plurality of character models comprise respective sets of attribute values for the plurality of character attributes;

receiving a request for video content, wherein the request for video content specifies a first attribute search threshold value associated with a first character attribute of the plurality of character attributes and a second attribute search threshold value associated with a second character attribute of the plurality of character attributes, and wherein the first character attribute is a demographic attribute;

selecting a subset of the character identification values from the database based on character models associated with the subset of the character identification values meeting the first attribute search threshold value for the first character attribute and meeting the second attribute search threshold value for the second character attribute;

identifying a video that includes a character identified by the subset of character identification values; and

providing an indication of the video for display.

2. The computer-implemented method of claim 1 , the method further comprising:

displaying a listing of characters identified by the subset of the character identification values.

3. The computer-implemented method of claim 1 , the method further comprising:

determining a plurality of media content based on the plurality of media content including one or more of the characters identified by the subset of the character identification values; and

displaying a listing of the plurality of media content.

4. The computer-implemented method of claim 1 , the method further comprising:

altering rankings of a list of media content based on the selected subset of character identification values.

5. The computer-implemented method of claim 1 , the method further comprising:

preventing a display device from displaying content on the selected subset of character identification values.

6. The computer-implemented method of claim 1 , the method further comprising:

recommending media content for purchase based on the selected subset of character identification values.

7. The computer-implemented method of claim 1 , wherein the second character attribute is a career attribute, a social trait, or an intellectual trait.

8. A non-transitory computer-readable storage medium comprising computer-executable instructions that cause one or more computer processors to perform a set of acts comprising:

accessing a database including a plurality of character identification values associated with a plurality of character models, wherein character models of the plurality of character models characterize respective characters present in respective videos using a plurality of character attributes, and wherein character models of the plurality of character models comprise respective sets of attribute values for the plurality of character attributes;

receiving a request for video content, wherein the request for video content specifies a first attribute search threshold value associated with a first character attribute of the plurality of character attributes and a second attribute search threshold value associated with a second character attribute of the plurality of character attributes, and wherein the first attribute is a demographic attribute;

selecting a subset of the character identification values from the database based on character models associated with the subset of the character identification values meeting the first attribute search threshold value for the first character attribute and meeting the second attribute search threshold value for the second character attribute;

identifying a video that includes a character identified by a character identification value of the subset of character identification values; and

providing an indication of the video for display.

9. The non-transitory computer-readable storage medium of claim 8 , wherein the set of acts further comprise:

displaying a listing of characters identified by the subset of the character identification values.

10. The non-transitory computer-readable storage medium of claim 8 , wherein the set of acts further comprise:

determining a plurality of media content based on the plurality of media content including one or more of the characters identified by the subset of the character identification values; and

displaying a listing of the plurality of media content.

11. The non-transitory computer-readable storage medium of claim 8 , wherein the set of acts further comprise:

altering rankings of a list of media content based on the selected subset of character identification values.

12. The non-transitory computer-readable storage medium of claim 8 , wherein the set of acts further comprise:

preventing a display device from displaying content on the selected subset of character identification values.

13. The non-transitory computer-readable storage medium of claim 8 , wherein the set of acts further comprise:

recommending media content for purchase based on the selected subset of character identification values.

14. An apparatus comprising:

memory; and

one or more computer processors configured to:

access a database including a plurality of character identification values associated with a plurality of character models, wherein character models of the plurality of character models characterize respective characters present in respective videos using a plurality of character attributes, and wherein character models of the plurality of character models comprise respective sets of attribute values for the plurality of character attributes;

receive a request for video content, wherein the request for video content specifies a first attribute search threshold value associated with a first character attribute of the plurality of character attributes and a second attribute search threshold value associated with a second character attribute of the plurality of character attributes, and wherein the first character attribute is a demographic attribute;

select a subset of the character identification values from the database based on character models associated with the subset of the character identification values meeting the first attribute search threshold value for the first attribute and meeting the second attribute search threshold value for the second attribute;

identify a video that includes a character identified by a character identification value of the subset of character identification values; and

provide an indication of the video for display.

15. The apparatus of claim 14 , wherein the one or more computer processors are further configured to:

display a listing of characters identified by the subset of the character identification values.

16. The apparatus of claim 14 , wherein the one or more computer processors are further configured to:

determine a plurality of media content based on the plurality of media content including one or more of the characters identified by the subset of the character identification values; and

display a listing of the plurality of media content.

17. The apparatus of claim 14 , wherein the one or more computer processors are further configured to:

alter rankings of a list of media content based on the selected subset of character identification values.

18. The apparatus of claim 14 , wherein the one or more computer processors are further configured to:

prevent a display device from displaying content on the selected subset of character identification values.

19. The apparatus of claim 14 , wherein the one or more computer processors are further configured to:

recommend media content for purchase based on the selected subset of character identification values.

Assignments (9)
RELEASE (REEL 054066 / FRAME 0064) Recorded May 11, 2023
From: CITIBANK, N.A.
To: A. C. NIELSEN COMPANY, LLC; EXELATE, INC.; GRACENOTE, INC.; GRACENOTE MEDIA SERVICES, LLC; THE NIELSEN COMPANY (US), LLC; NETRATINGS, LLC
Reel/Frame 063605/0001 →
RELEASE (REEL 053473 / FRAME 0001) Recorded May 11, 2023
From: CITIBANK, N.A.
To: A. C. NIELSEN COMPANY, LLC; EXELATE, INC.; GRACENOTE, INC.; GRACENOTE MEDIA SERVICES, LLC; THE NIELSEN COMPANY (US), LLC; NETRATINGS, LLC
Reel/Frame 063603/0001 →
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 →
CORRECTIVE ASSIGNMENT TO CORRECT THE PATENTS LISTED ON SCHEDULE 1 RECORDED ON 6-9-2020 PREVIOUSLY RECORDED ON REEL 053473 FRAME 0001. ASSIGNOR(S) HEREBY CONFIRMS THE SUPPLEMENTAL IP SECURITY AGREEMENT. Recorded Oct 7, 2020
From: A.C. NIELSEN (ARGENTINA) S.A.; A.C. NIELSEN COMPANY, LLC; ACN HOLDINGS INC.; ACNIELSEN CORPORATION; ACNIELSEN ERATINGS.COM; AFFINNOVA, INC.; ART HOLDING, L.L.C.; ATHENIAN LEASING CORPORATION; CZT/ACN TRADEMARKS, L.L.C.; EXELATE, INC.; GRACENOTE, INC.; GRACENOTE DIGITAL VENTURES, LLC; GRACENOTE MEDIA SERVICES, LLC; NETRATINGS, LLC; NIELSEN AUDIO, INC.; NIELSEN CONSUMER INSIGHTS, INC.; NIELSEN CONSUMER NEUROSCIENCE, INC.; NIELSEN FINANCE CO.; NIELSEN FINANCE LLC; NIELSEN INTERNATIONAL HOLDINGS, INC.; NIELSEN MOBILE, LLC; NMR INVESTING I, INC.; TCG DIVESTITURE INC.; TNC (US) HOLDINGS, INC.; THE NIELSEN COMPANY (US), LLC; VIZU CORPORATION; VNU MARKETING INFORMATION, INC.; NMR LICENSING ASSOCIATES, L.P.; NIELSEN HOLDING AND FINANCE B.V.; THE NIELSEN COMPANY B.V.; VNU INTERNATIONAL B.V.
To: CITIBANK, N.A
Reel/Frame 054066/0064 →
SUPPLEMENTAL SECURITY AGREEMENT Recorded Jun 9, 2020
From: A. C. NIELSEN COMPANY, LLC; ACN HOLDINGS INC.; ACNIELSEN CORPORATION; ACNIELSEN ERATINGS.COM; AFFINNOVA, INC.; ART HOLDING, L.L.C.; ATHENIAN LEASING CORPORATION; CZT/ACN TRADEMARKS, L.L.C.; EXELATE, INC.; GRACENOTE, INC.; GRACENOTE DIGITAL VENTURES, LLC; GRACENOTE MEDIA SERVICES, LLC; NETRATINGS, LLC; NIELSEN AUDIO, INC.; NIELSEN CONSUMER INSIGHTS, INC.; NIELSEN CONSUMER NEUROSCIENCE, INC.; NIELSEN FINANCE CO.; NIELSEN FINANCE LLC; NIELSEN INTERNATIONAL HOLDINGS, INC.; NIELSEN MOBILE, LLC; NIELSEN UK FINANCE I, LLC; NMR INVESTING I, INC.; TCG DIVESTITURE INC.; TNC (US) HOLDINGS, INC.; THE NIELSEN COMPANY (US), LLC; VIZU CORPORATION; VNU MARKETING INFORMATION, INC.; NMR LICENSING ASSOCIATES, L.P.; NIELSEN HOLDING AND FINANCE B.V.; THE NIELSEN COMPANY B.V.; VNU INTERNATIONAL B.V.
To: CITIBANK, N.A.
Reel/Frame 053473/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 15, 2018
From: FEM, INC.
To: THE NIELSEN COMPANY (US), LLC
Reel/Frame 046097/0665 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 26, 2016
From: BHATT, MEGHANA; PAYNE, RACHEL; MOHANTY, NATASHA
To: FEM, INC.
Reel/Frame 038388/0338 →
Continuity (6)
Continuation 14636067 · Mar 2, 2015
Continuation 14466882 · Aug 22, 2014
Continuation 14065332 · Oct 28, 2013
Continuation 13844125 · Mar 15, 2013
Provisional Application 61947990 · Mar 4, 2014
Related Publication 20160306872A1 · Oct 20, 2016