Character based media analytics

• US 10,565,235 B2
• Filed: 04/18/2016
• Issued: 02/18/2020
• Est. Priority Date: 03/15/2013
• Status: Active Grant

• Current Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Original Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Inventors: Bhatt, Meghana, Payne, Rachel, Mohanty, Natasha
• Primary Examiner(s): Nguyen, Phong H
• Application Number:
  US15/132,197
• Publication Number:
  US 20160306872A1
• Time in Patent Office: 1,401 Days
• Field of Search: 707722, 707736, 707748
• CPC Class Codes: G06F 16/288 Entity relationship models
• CPC Class Codes: G06F 16/43 Querying
• CPC Class Codes: G06F 16/435 Filtering based on additional data, e.g. user or group profiles
• CPC Class Codes: G06F 16/44 Browsing; Visualisation therefor
• CPC Class Codes: G06F 16/7867 using information manually generated, e.g. tags, keywords, comments, title and artist information, manually generated time, location and usage information, user ratings
• CPC Class Codes: G06F 16/787 using geographical or spatial information, e.g. location
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques

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

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.