Method and Apparatus for Selecting an Advertisement for Display on a Digital Sign According to an Approaching Object

• US 20130339156A1
• Filed: 04/05/2012
• Published: 12/19/2013
• Est. Priority Date: 04/05/2012
• Status: Abandoned Application

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Ranjan, Abhishek, Sanjay, Addicam V., Malik, Shahzad A., Phadnis, Shweta, Avalos, Jose A.
• Application Number:
  US13/976,367
• Publication Number:
  US 20130339156A1
• Time in Patent Office: Days
• US Class Current: 705/14.66
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute

Abstract

Selecting when to display one of a plurality of advertisements on a digital sign. An embodiment of the invention gathers video analytics data from a plurality of objects that pass by a sensor, and analyze the gathered video analytics data to determine a type for each of the objects. The embodiment then trains advertising models based on the determined types and selects an advertisement from a plurality of advertisements for display on the digital sign based on the trained advertising models.

Claims

1. A method for selecting when to display one of a plurality of advertisements on a digital sign, comprising:

gathering video analytics data from a plurality of objects that pass by a sensor;

analyzing the gathered video analytics data to determine a type for each of the objects;

training advertising models based on the determined types; and

selecting an advertisement from a plurality of advertisements for display on the digital sign based on the trained advertising models.

2. The method of claim 1, wherein one of a plurality of viewers is associated with a respective one of the plurality of objects that pass by the sensor, and wherein selecting the advertisement for display on the digital sign comprises selecting the advertisement for display on the digital sign for viewing by a viewer associated with the object.

3. The method of claim 1, further analyzing the gathered video analytics data for the purpose of determining a feature for each of the objects, and further training advertising models based on the determined features.

4. The method of claim 1, further comprising analyzing the gathered video analytics data to determine a direction of motion for each of the objects, and further training the advertising models based on the direction of motion of the objects.

5. The method of claim 1, further comprising analyzing the gathered video analytics data to determine a speed for each of the objects, and further training the advertising models based on the speed of the objects.

6. The method of claim 1, further comprising receiving advertiser preferences as to which advertisement to display on the digital sign, and wherein selecting the advertisement for display on the digital sign based on the trained advertising models comprises selecting the advertisement for display based on the trained advertising models and the advertiser preferences.

7. The method of claim 1, wherein the video analytics data further comprises one or more of a date and time, a day-of-the-week, a timeslot, and a location.

8. The method of claim 1, further comprising:

receiving advertising data corresponding to the advertisements displayed on the digital sign; and

wherein training advertising models based on the determined types comprises training advertising models based on the determined types and the advertising data.

9. (canceled)

10. A digital advertising system, comprising:

an input to receive a plurality of digital advertisements;

an output via which to transmit the digital advertisements for display on a digital sign module;

a data mining module to couple to the digital sign module to retrieve video analytics data relating to a plurality of objects that pass by a sensor and generate trained advertising models based on the video analytics data according to a data mining algorithm; and

a content management system module coupled to the data mining module to receive the trained advertising models, and to the input to receive the plurality of digital advertisements, the content management system to generate and transmit to the digital sign module a subset of the plurality of advertisements for display based on the trained advertising models and the plurality of digital advertisements.

11. The digital advertising system of claim 10, further comprising an advertisements module coupled to the input to provide the plurality of digital advertisements.

12. The digital advertising system of claim 10 further comprising the digital sign module coupled to the output to receive the digital advertisements, the digital sign module to display the digital advertisements and to capture and transmit to a permanent store the video analytics data.

13. The digital advertising system of claim 12, further comprising the data mining module coupled to the permanent store to retrieve the video analytics data.

14. The digital advertising system of claim 13, wherein the data mining module generates trained advertising models based on the video analytics according to one of a number of well-known data mining algorithms including a Naï

ve Bayes, a Decision Trees, and an Association Rules, data mining algorithm.

15. The digital advertising system of claim 14, wherein the digital sign module comprises a digital sign player module in which to store, and from which to transmit to a digital display screen, the subset of the plurality of advertisements for display.

16. The digital advertising system of claim 10, wherein the input further receives advertiser preferences as to which advertisement to transmit to the digital sign, and wherein the content management system to generate and transmit to the digital sign module a subset of the plurality of advertisements for display based on the trained advertising models, the plurality of digital advertisements, and the advertiser preferences.

17. The digital advertising system of claim 10, wherein the data mining module to couple to the digital sign module to retrieve video analytics data and advertising data corresponding to display of the advertisements transmitted for display to the digital sign, and generate trained advertising models based on the video analytics data and the advertising data according to the data mining algorithm.

18. The digital advertising system of claim 10, wherein the video analytics data comprises one or more object types and features.

20. The digital advertising system of claim 12, wherein the video analytics data further comprises one or more of a date and time, a day-of-the-week, a timeslot, and a location.

19. (canceled)

21. At least one machine readable medium comprising a plurality of instructions that in response to being executed on a computing device, cause the computing device to:

gather video analytics data from a plurality of objects that pass by a sensor;

analyze the gathered video analytics data to determine a type for each of the objects;

train advertising models based on the determined types; and

select an advertisement from a plurality of advertisements for display on the digital sign based on the trained advertising models.

22. The at least one machine readable medium of claim 21, wherein one of a plurality of viewers is associated with a respective one of the plurality of objects that pass by the sensor, and wherein to select the advertisement for display on the digital sign comprises to select the advertisement for display on the digital sign for viewing by a viewer associated with the object.

23. The at least one machine readable medium of claim 21, further to analyze the gathered video analytics data for the purpose of determining a feature for each of the objects, and further to train advertising models based on the determined features.

24. The at least one machine readable medium of claim 21, further comprising to analyze the gathered video analytics data to determine a direction of motion for each of the objects, and further to train the advertising models based on the direction of motion of the objects.

25. The at least one machine readable medium of claim 21, further comprising to analyze the gathered video analytics data to determine a speed for each of the objects, and further to train the advertising models based on the speed of the objects.

26. The at least one machine readable medium of claim 21, further comprising to receive advertiser preferences as to which advertisement to display on the digital sign, and wherein to select the advertisement for display on the digital sign based on the trained advertising models comprises to select the advertisement for display based on the trained advertising models and the advertiser preferences.

27. The at least one machine readable medium of claim 21, further comprising:

to receive advertising data corresponding to the advertisements displayed on the digital sign; and

wherein to train advertising models based on the determined types comprises to train advertising models based on the determined types and the advertising data.

28. (canceled)