Method and device for monitoring and analyzing signals

• US 8,712,728 B2
• Filed: 03/13/2013
• Issued: 04/29/2014
• Est. Priority Date: 09/07/2000
• Status: Expired due to Fees

• Current Assignee: Wistaria Trading Inc.
• Original Assignee: Blue Spike LLC (Blue Spike, Inc.)
• Inventors: Moskowitz, Scott A., Berry, Mike W.
• Primary Examiner(s): TSAI, CAROL S W
• Application Number:
  US13/802,384
• Publication Number:
  US 20130204899A1
• Time in Patent Office: 412 Days
• Field of Search: 702/182, 704/201, 704/203, 704/211, 704/270, 704/219, 704/500, 704/503, 704/504, 341/155, 341/76, 341/61
• US Class Current: 702/182
• CPC Class Codes: G06F 11/30 Monitoring
• CPC Class Codes: G06F 11/3003 Monitoring arrangements specially adapted to the computing system or computing system component being monitored
• CPC Class Codes: G06F 16/2468 Fuzzy queries
• CPC Class Codes: G06F 16/903 Querying for retrieval from the web G06F16/953
• CPC Class Codes: G10L 17/00 Speaker identification or verification techniques
• CPC Class Codes: H04N 19/00 Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
• CPC Class Codes: Y10S 707/99931 Database or file accessing
• CPC Class Codes: Y10S 707/99932 Access augmentation or optimizing
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching

Abstract

A method and system for monitoring and analyzing at least one signal are disclosed. An abstract of at least one reference signal is generated and stored in a reference database. An abstract of a query signal to be analyzed is then generated so that the abstract of the query signal can be compared to the abstracts stored in the reference database for a match. The method and system may optionally be used to record information about the query signals, the number of matches recorded, and other useful information about the query signals. Moreover, the method by which abstracts are generated can be programmable based upon selectable criteria. The system can also be programmed with error control software so as to avoid the re-occurrence of a query signal that matches more than one signal stored in the reference database.

Claims

1. A method for monitoring and analyzing at least one signal comprising:

creating, using at least one processor of an electronic system, a reference signal abstract of a reference signal;

wherein said reference signal abstract is a data reduced version of said reference signal that is a self-similar representation of said reference signal;

receiving, in said electronic system, at least one query signal to be analyzed;

creating, using said at least one processor of said electronic system, a query signal abstract of said at least one query signal, wherein said query signal abstract is a data reduced version of said query signal that is a self-similar representation of said query signal;

comparing, in said electronic system, said query signal abstract with said reference signal abstract thereby determining whether said query signal abstract matches said reference signal abstract.

2. The method of claim 1 wherein said at least one processor comprises a first processor used for creating said reference signal abstract and a second processor used for creating said query signal abstract.

3. The method of claim 1 wherein said creating said query signal abstract comprises said electronic system using at least one of a hash and a digital signature.

4. The method of claim 1 further comprising:

creating, using at least one processor of a electronic system, a second reference signal abstract of a second reference signal;

wherein said second reference signal abstract is a data reduced version of said second reference signal that is a self-similar representation of said second reference signal;

comparing, in said electronic system, said query signal abstract with said second reference signal abstract, thereby determining whether said query signal abstract matches said second reference signal abstract.

5. The method of claim 4, further comprising changing selected criteria for generating said reference signal abstract from said reference signal.

6. The method of claim 4, wherein said changing is in response to said electronic system determining that a query signal abstract matches one of said reference signal abstract and said second reference signal abstract.

7. The method of claim 1 wherein said creating, using said at least one processor of said electronic system, said reference signal abstract, comprises applying at least one spectral transform to said reference signal.

8. The method of claim 1 wherein said creating, using said at least one processor of said electronic system, said reference signal abstract, comprises analyzing characteristics of each signal in a group of audibly/perceptibly similar signals.

9. The method of claim 8, wherein said group of audibly/perceptibly similar signals are versions of a particular song sung by different artists.

10. The method of claim 8 wherein said reference signal abstract comprises at least some common characteristics of said group.

11. The method of claim 8 wherein said reference signal abstract comprises only at least some characteristics of said group that represent the null case.

12. The method of claim 1 wherein said reference signal is a digital signal representing at least one of an audio signal, a still image, and a video image.

13. The method of claim 1 wherein said reference signal is a digital signal representing an audio signal.

14. The method of claim 1 wherein said reference signal is a digital signal representing a video signal.

15. The method of claim 1 wherein said electronic system is a computerized system.

16. The method of claim 1 further comprising said electronic system counting a number of times a query signal abstract is determined to match said reference signal abstract.

17. The method of claim 16 further comprising said electronic system counting a number of times a query signal abstract that originated from a particular source is determined to match said reference signal abstract.

18. The method of claim 16 wherein said particular source is one of radio broadcast station and an Internet site.

19. The method of claim 1 wherein said creating, using said at least one processor of said electronic system, said reference signal abstract, comprises massive compression of said reference signal.

20. The method of claim 1 wherein said creating, using said at least one processor of said electronic system, said reference signal abstract, comprises compression of said reference signal by a factor of at least ten thousand.

21. The method of claim 1 wherein said creating, using said at least one processor of said electronic system, said reference signal abstract, comprises determining bits having values deemed imperceptible to human senses.

22. The method of claim 1, wherein said creating, using said at least one processor of said electronic system, said reference signal abstract, comprises lossy compression.

23. The method of claim 1, wherein said creating, using said at least one processor of said electronic system, said query signal abstract, comprises lossy compression.

24. The method of claim 8, wherein said group of audibly/perceptibly similar signals are versions of a particular signal.

31. The method of claim 8 wherein said analyzing comprises performing on said reference signal at least one of linear predictive coding;

z-transform analysis;

root mean square analysis; and

signal to peak determination.

25. An electronic system for monitoring and analyzing at least one signal comprising:

at least one processor;

a receiver configured to receive at least one query signal to be analyzed;

wherein said system is configured to use said at least one processor to create a reference signal abstract of a reference signal;

wherein said reference signal abstract is a data reduced version of said reference signal that is a self-similar representation of said reference signal;

wherein said system is configured to use said at least one processor to create a query signal abstract of said at least one query signal, wherein said query signal abstract is a data reduced version of said query signal that is a self-similar representation of said query signal;

wherein said system is programmed to use said at least one processor to electronically compare said query signal abstract with said reference signal abstract, thereby determining whether said query signal abstract matches said reference signal abstract.

26. The system of claim 25 wherein said system is configured to apply at least one spectral transform to said reference signal when creating said reference signal abstract.

27. The system of claim 25 wherein said system is configured to massively compress said reference signal when creating said reference signal abstract.

28. The system of claim 25 wherein said system is configured to use said least one processor and perform lossy compression when creating said reference signal abstract.

29. The system of claim 25 wherein said system is configured to analyze characteristics of each signal in a group of audibly/perceptibly similar signals when creating said reference signal abstract.

30. The system of claim 29, wherein said group of audibly/perceptibly similar signals are versions of a particular signal.