METHOD AND APPARATUS FOR ANALYZING AND INTERRELATING VIDEO DATA

• US 20100235314A1
• Filed: 12/29/2009
• Published: 09/16/2010
• Est. Priority Date: 02/12/2009
• Status: Abandoned Application

• Current Assignee: Decisive Analytics Corporation
• Original Assignee: Decisive Analytics Corporation
• Inventors: Nolan, James J., Frymire, Mark E., David, Andrew F.
• Application Number:
  US12/648,978
• Publication Number:
  US 20100235314A1
• Time in Patent Office: Days
• US Class Current: 706/52
• CPC Class Codes: G06F 16/337 Profile generation, learning or modification
• CPC Class Codes: G06F 16/358 Browsing; Visualisation therefor
• CPC Class Codes: G06F 16/685 using automatically derived transcript of audio data, e.g. lyrics speech recognition G10L15/00
• CPC Class Codes: G06F 16/7844 using original textual content or text extracted from visual content or transcript of audio data
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

A method for automatically organizing data into themes including the steps of retrieving electronic video data from at least one video data source, separating the electronic video data into discrete packages based on the content of the data, converting speech data in the electronic video data into text data, storing the text data in a temporary storage medium, querying the text data from a temporary storage medium using a computer-based query language, identifying themes within the text data using a computer program including an statistical probability based algorithm.

Claims

1. A method for automatically organizing data into themes, the method comprising the steps of:

retrieving electronic data from at least one data source;

separating the electronic data into discrete packages based on the content of the data;

converting speech data in the electronic data into text data, wherein the speech data and the text data are in the same language;

storing the text data in a temporary storage medium;

querying the text data from a temporary storage medium using a computer-based query language;

identifying themes within the text data using a computer program including an statistical probability based algorithm; and

,

organizing the text data into the identified themes based on the content of the data.

2. The method of claim 1 wherein the electronic data is electronic audio data.

3. The method of claim 1 wherein the electronic data is electronic video data.

4. The method of claim 1 wherein the electronic data is in a non-English language, and wherein the step of converting speech data in the discrete packages into text data further comprises translating the non-English language text data into English language text data.

5. The method of claim 4 wherein the electronic data is a non-English language video news feed.

6. The method of claim 5 further comprising:

displaying (1) the non-English language video news feed, (2) the converted non-English language text data, (3) the translated English language text data, and (4) at least one keyword of interest based upon the content of the non-English language video news feed.

7. The method of claim 4 further comprising the step of:

storing the electronic data and the translated text data in a computer database; and

querying the computer database to retrieve the electronic video data and the translated text data.

8. The method of claim 1 further comprising the steps of:

tracking themes over a time period;

identifying themes that are at least one of emerging, increasing, or declining; and

characterizing the themes based on the level of threat the themes represent.

9. The method of claim 1 further comprising the step of:

identifying a plurality of entities that are collaborating on the same theme; and

determining the roles and relationships between the plurality of entities, including the affinity between the plurality of entities.

10. The method of claim 1 further comprising the steps of:

storing the electronic data and the converted text data in a computer database;

querying the computer database to retrieve the electronic data and the converted text data.

11. The method of claim 1 further comprising the step of:

identifying and predicting the probability of a future event.

12. The method of claim 1 further comprising the step of:

analyzing the queried text data and posting the analysis on a computer database.

13. The method of claim 1 wherein the same data is organized into a plurality of different themes.

14. The method of claim 1 further comprising the step of:

determining the amount a discrete set of data that is organized into a report contributed to a specific theme.

15. A method for automatically organizing data into themes, the method comprising the steps of:

retrieving electronic video data from at least one non-English video data source;

separating the electronic video data into discrete packages based on the content of the data;

converting speech data in the discrete packages into text data, wherein the speech data and the text data are in the same non-English language;

translating the non-English text data into English text data;

storing the electronic video data and the translated text data in a computer database;

storing the translated text data in a temporary storage medium;

querying the text data in the storage medium using a computer-based query language;

identifying themes within the text data stored in the storage medium using a computer program including a statistical probability based algorithm;

characterizing the themes based on the level of threat each theme represents;

organizing the text data stored in the storage medium into the identified themes based on the content of the data;

determining the amount a discrete set of data contributed to a specific theme;

identifying themes that are at least one of emerging, increasing, or declining;

identifying a plurality of entities that are collaborating on the same theme;

determining the roles and relationships between the plurality of entities, including the affinity between the plurality of entities;

identifying and predicting the probability of a future event;

querying the computer database to retrieve the electronic video data and the translated text data.

16. A computer-based analysis system comprising:

electronic data from at least one electronic data source;

a separator device for separating the electronic data into discrete packages based upon the content of the data;

a convertor device for converting speech data within the discrete packages into text data, wherein the speech data and the text data are in the same language;

a temporary storage medium for storing the text data;

a computer-based query language tool for querying the data in the storage medium;

a computer program including a statistical probability based algorithm for;

(1) identifying themes within the data stored in the storage medium, (2) identifying a plurality of entities that are collaborating on the same theme, (3) determining the roles and relationships between the plurality of entities, and (4) identifying and predicting the probability of a future event;

a computer database for storing the output from the computer program.

17. The computer-based system of claim 16 wherein the electronic data is at least one of a video news feed or an audio news feed.

18. The computer-based system of claim 16 wherein the electronic data is non-English language video news feed.

19. The computer-based system of claim 18 further comprising:

a translator device that translates the non-English language text data into English language text data.

20. The computer-based system of claim 19 further comprising:

a video display device that displays (1) the non-English language video news feed, (2) the converted non-English language text data, (3) the translated English language text data, and (4) at least one keyword of interest based upon the content of the non-English language video news feed.