Systems and methods for collecting information from digital media files

• US 9,286,340 B2
• Filed: 07/19/2013
• Issued: 03/15/2016
• Est. Priority Date: 06/14/2013
• Status: Active Grant

• Current Assignee: Sogidia AG
• Original Assignee: Sogidia AG
• Inventors: Schlomka, Norman, Conway, Michael
• Primary Examiner(s): Ly, Anh
• Application Number:
  US13/946,208
• Publication Number:
  US 20140372372A1
• Time in Patent Office: 970 Days
• Field of Search: 707/609, 707/634, 707/E17.005, 707/769, 707/749, 707/600, 707/709, 707/E17.014, 707/E17.033, 707/E17.002, 707/E17.044, 707/E17.108, 707/E17.032, 705/26, 705/22, 705/25, 705/7, 705/39, 705/52, 705/27.2, 705/26.1, 705/26.7, 705/347, 705/303, 705/319, 705/400, 705/14.66, 705/14.7, 705/14.49, 705/14.53, 705/14.25, 705/14.39, 705/14.4, 705/14.36, 705/7.32, 705/27.1, 709/204, 709/200, 709/206, 709/224, 709/203, 709/219, 709/218, 709/217, 709/230, 709/231, 709/223, 715/762, 715/745, 715/230, 455/550.1, 382/118, 382/103, 718/102
• US Class Current: 1/1
• CPC Class Codes: G06F 16/23 Updating
• CPC Class Codes: G06F 16/435 Filtering based on additional data, e.g. user or group profiles

Abstract

Systems and methods for collecting information from digital media files. More specifically, a collection module may be used to communicate with a social networking system and analyze the digital media files associated with a user profile. The collection module may generate media-based profile information based on media content and/or location, time and date data extracted from the digital media files. The media-based profile information may be incorporated into the user profile information and used by the social networking system for various purposes.

Claims

1. A method comprising:

accessing, using a computing device comprising one or more programmable processers, a user profile associated with a user, the user profile comprising profile information and at least one digital media file;

extracting, using the computing device, media content from each digital media file;

generating, using the computing device, a suspected content for each digital media file based on the media content of each digital media file;

determining, using the computing device, a set of potential interests for each digital media file based on the suspected content of each digital media file, wherein each set of potential interests includes a plurality of potential interests;

generating, using the computing device, media-based profile information based on the sets of potential interests of the digital media files, wherein the media-based profile information includes potential interests from the sets of potential interests associated with the user, wherein generating media based profile information further comprises;

calculating, using a computing device, a confidence interval for each potential interest determined based on how many times the potential interest occurs in the set of potential interests for each digital media file, and

generating, using a computing device, media-based profile information from the potential interests using the confidence interval;

incorporating, using the computing device, the media-based profile information into the user profile; and

storing the user profile with the media-based profile information in a non-transitory computer-readable medium.

2. The method of claim 1 wherein determining a set of potential interests further comprises accessing, using the computing device, a data repository, wherein the data repository contains information correlating the suspected content with potential interests.

3. The method of claim 2 further comprising organizing the information in the data repository into different categories of potential interests based on a scope of the potential interests.

4. The method of claim 1 wherein calculating a confidence interval for each potential interest is additionally based on the profile information in the user profile.

5. The method of claim 1 wherein extracting media content from each digital file further comprises extracting location, time and date data from each digital media file.

6. The method of claim 5 wherein determining a set of potential interests further comprises;

determining a geographic location and event corresponding to the location, time and date data by using the computing device to access a data repository;

determining the set of potential interests based on the geographic location and event by using the computing device to access the data repository; and

wherein the data repository contains information correlating

     1) location, time and date data with geographic locations and events; and

     2) geographic locations and events with the sets of potential interests.

7. A system comprising:

a social networking system which includes a plurality of user profiles, the user profiles including profile information and at least one digital media file;

at least one programmable processor adapted to execute a collection module;

a data repository which includes information correlating suspected content with potential interests;

wherein the collection module is adapted to receive digital media files from the social networking system;

wherein the collection module is adapted to analyze the digital media files to determine a suspected content for each of the digital media files;

wherein the collection module is adapted to access the data repository to determine a set of potential interests based on the suspected content of the digital media file for each of the digital media files;

wherein the collection module is adapted to analyze the sets of potential interests to generate media-based profile information by;

calculating, using a computing device, a confidence interval for each potential interest determined based on how many times the potential interest occurs in the set of potential interests for each digital media file, and

generating, using a computing device, media-based profile information from the potential interests using the confidence interval;

wherein the collection module is adapted to incorporate the media-based profile information into the user profile; and

a non-transitory computer-readable medium adapted to store the user profile with the media-based profile information.

8. The system of claim 7 further comprising:

wherein the collection module is adapted to analyze the digital media files to determine location, time and date data for each of the digital media files; and

wherein the collection module is adapted to access the data repository to determine a set of potential interests based on the location, time and date data for each of the digital media files.

9. The system of claim 7 wherein the confidence interval for each potential interest is additionally calculated based on the profile information in the user profile.

10. The system of claim 7 wherein the data repository further includes information correlating 1) location, time and date data with geographic locations and events;

and

     2) geographic locations and events with potential interests.

11. The system of claim 7 wherein the data repository further includes potential interests organized into different categories based on a scope of the potential interests.

12. A non-transitory computer-readable storage article having computer-executable instructions stored thereon comprising a collection module, wherein the computer-executable instructions cause at least one programmable processor to:

receive digital media files from a user profile;

analyze the digital media files to determine a suspected content for each of the digital media files;

access a data repository to determine a set of potential interests based on the suspected content of the digital media files for each of the digital media files;

analyze the sets of potential interests to generate media-based profile information, wherein generating media based profile information comprises;

calculating a confidence interval for each potential interest determined based on how many times the potential interest occurs in the set of potential interests for each digital media file, and

generating media-based profile information from the potential interests using the confidence interval;

incorporate the media-based profile information into the user profile; and

store the user profile with the media-based profile information in a non-transitory computer-readable medium.

13. The article of claim 12 wherein the data repository further includes potential interests organized into different categories based on a scope of the potential interests.

14. The article of claim 12 further comprising executable instructions to cause the collection module to:

analyze the digital media files to determine location, time and date data for each of the digital media files; and

access a data repository to determine a set of potential interests based on the location, time and date data for each of the digital media files.