System and Method for Matching Targeted Advertisements for Video Content Delivery

• US 20110185381A1
• Filed: 12/01/2010
• Published: 07/28/2011
• Est. Priority Date: 01/28/2010
• Status: Active Grant

• Current Assignee: Futurewei Technologies Incorporated (Huawei Investment & Holding Co., Ltd.)
• Original Assignee: Futurewei Technologies Incorporated (Huawei Investment & Holding Co., Ltd.)
• Inventors: Huang, Yu, Zhang, Dong-Qing, Wang, Shu, Wang, Qi, Yu, Hong Heather
• Granted Patent: US 9,473,828 B2
• Time in Patent Office: Days
• US Class Current: 725/32
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: H04N 21/23424 involving splicing one content stream with another content stream, e.g. for inserting or substituting an advertisement
• CPC Class Codes: H04N 21/25891 being end-user preferences retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/4756 for rating content, e.g. scoring a recommended movie
• CPC Class Codes: H04N 21/6582 Data stored in the client, e.g. viewing habits, hardware capabilities, credit card number arrangements where receivers interact with the broadcast H04H20/38
• CPC Class Codes: H04N 21/84 Generation or processing of descriptive data, e.g. content descriptors systems specially adapted for using meta-information in broadcast systems H04H60/73
• CPC Class Codes: H04N 21/8456 by decomposing the content in the time domain, e.g. in time segments

Abstract

In accordance with an embodiment, a method of matching video content to advertising content includes electronically receiving a video content metadata from a content provider, and matching the video content metadata to advertising content metadata of a global list of advertisements. The video content metadata corresponds to video content being sent to a user device and includes at least one keyword. Furthermore, the advertising content metadata corresponds to advertising content and includes at least one keyword. Matching the video content metadata to advertising content metadata includes comparing the at least one keyword of the video content metadata to the at least one keyword of the advertising content metadata.

Claims

1. A method of matching video content to advertising content, the method comprising:

electronically receiving a video content metadata from a content provider, the video content metadata corresponding to video content being sent to a user device; and

matching the video content metadata to advertising content metadata of a global list of advertisements, the advertising content metadata corresponding to advertising content, wherein

the video content metadata comprises at least one keyword,

the advertising content metadata comprises at least one keyword, and

matching the video content metadata to advertising content metadata comprises comparing the at least one keyword of the video content metadata to the at least one keyword of the advertising content metadata.

2. The method of claim 1, wherein matching the video content metadata to the advertising content metadata comprises:

incrementing a match metric based on the comparing;

comparing the incremented match to a predetermined threshold; and

if the increment match exceeds the predetermined threshold, add the advertising content to a first table of advertisements.

3. The method of claim 1, wherein matching the video content metadata to advertising content metadata further comprises using a lexical database to match keywords.

4. The method of claim 1, wherein

the video content metadata further comprises a first synopsis comprising a written description of the video content;

the advertising content metadata further comprises a second synopsis comprising a written description of the advertising content; and

matching the video content metadata to advertising content metadata further comprises comparing words of the first synopsis with words of the second synopsis, comparing comprising using a lexical database to match similar words.

5. The method of claim 1, wherein:

the video content comprises a plurality of video segments;

each video segment is associated with at least one keyword; and

matching the video content metadata further comprising matching the video content metadata to the advertising content metadata on a segment by segment basis.

6. A method of matching video content to advertising content, the method comprising:

electronically receiving video content metadata from a content provider, the video content metadata corresponding to video content being sent to a user device;

matching the video content metadata to advertising content metadata of a global list of advertisements, the advertising content metadata corresponding to advertising content, wherein the video content metadata comprises a first category taken from an ontological structure, and the advertising content metadata comprises a second category taken from the ontological structure, wherein matching the video content metadata to the advertising content metadata further comprises comparing the first category to the second category; and

generating a first list of advertisements based on the matching.

7. The method of claim 6, wherein

the ontological structure comprises a first plurality of top level categories;

and

at least one of the first plurality of top level categories comprises a second plurality of subcategories.

8. The method of claim 7, wherein the first plurality of top level categories comprises a combined object and participation category, the combined object and participation category comprising subcategories pertaining to live and inanimate objects.

9. The method of claim 7, wherein the first plurality of top level categories comprises a process category, the process category comprising human event driven subcategories.

10. The method of claim 6, wherein at least one category taken from the ontological structure is applied to a local portion of the video content.

16. The system of claim 6, wherein:

the video content comprises a plurality of video segments;

matching the video content metadata further comprising matching the video content metadata to the advertising content metadata on a segment by segment basis.

11. A system for matching video content to advertising content, the system comprising:

a metadata matcher matching video content metadata to advertising content metadata of a global list of advertisements, the advertising content metadata corresponding to the advertising content, and the video content metadata corresponding to the video content, wherein

the video content metadata comprises at least one keyword,

the advertising content metadata comprises at least one keyword, and

the metadata matcher matches the video content metadata to advertising content metadata by comparing the at least one keyword of the video content metadata to the at least one keyword of the advertising content metadata.

12. The system of claim 11, wherein the metadata matcher matches the video content metadata to the advertising content metadata by incrementing a match metric based on the comparing, comparing the incremented match to a predetermined threshold;

and if the increment match exceeds the predetermined threshold, add the advertising content to a first table of advertisements.

13. The system of claim 11, wherein the metadata matcher matches the video content metadata to advertising content metadata by using a lexical database to match keywords.

14. The system of claim 11, further comprising a communications adaptor that receives video content metadata from a content provider, the video content metadata corresponding to video content being sent to a user device.

15. The system of claim 11, wherein

the video content metadata further comprises a first synopsis comprising a written description of the video content;

the advertising content metadata further comprises a second synopsis comprising a written description of the advertising content; and

the metadata matcher further matches the video content metadata to advertising content metadata by comparing words of the first synopsis with words of the second synopsis, comparing comprising using a lexical database to match similar words.

17. A non-transitory computer readable medium with an executable program stored thereon, wherein the program instructs a microprocessor to perform the following steps:

matching video content metadata to advertising content metadata of a global list of advertisements, the video content metadata corresponding to video content, wherein

the video content metadata comprises at least one keyword,

the advertising content metadata comprises at least one keyword, and

the step of matching the video content metadata to advertising content metadata comprises comparing the at least one keyword of the video content metadata to the at least one keyword of the advertising content metadata.

18. The non-transitory computer readable medium of claim 17, wherein the step of matching the video content metadata to the advertising content metadata further comprises:

incrementing a match metric based on the comparing;

comparing the incremented match to a predetermined threshold; and

if the increment match exceeds the predetermined threshold, add the advertising content to a first table of advertisements.

19. The non-transitory computer readable medium of claim 17, wherein matching the video content metadata to advertising content metadata further comprises using a lexical database to match keywords.

20. The non-transitory computer readable medium of claim 17, wherein:

the video content metadata comprises a first category taken from an ontological structure;

the advertising content metadata comprises a second category taken from the ontological structure; and

wherein the step of matching the video content metadata to the advertising content metadata further comprises comparing the first category to the second category.

21. The non-transitory computer readable medium of claim 20, wherein:

the ontological structure comprises a first plurality of top level categories; and

at least one of the first plurality of top level categories comprises a second plurality of subcategories.

22. The non-transitory computer readable medium of claim 17, wherein

the video content metadata further comprises a first synopsis comprising a written description of the video content;

the advertising content metadata further comprises a second synopsis comprising a written description of the advertising content; and

the step of matching the video content metadata to advertising content metadata further comprises comparing words of the first synopsis with words of the second synopsis, comparing comprising using a lexical database to match similar words.

23. The non-transitory computer readable medium of claim 17, wherein the program further instructs the microprocessor to perform a step of electronically receiving video content metadata from a content provider, the video content metadata corresponding to video content being sent to a user device.

24. The non-transitory computer readable medium of claim 17, wherein:

the video content comprises a plurality of video segments;

the step of matching the video content metadata further comprises matching the video content metadata to the advertising content metadata on a segment by segment basis.