Derivation and quantization of robust non-local characteristics for blind watermarking

• US 20050108543A1
• Filed: 11/12/2004
• Published: 05/19/2005
• Est. Priority Date: 04/24/2001
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Venkatesan, Ramarathnam, Jakubowski, Mariusz H., Mihcak, M. Kivanc
• Granted Patent: US 7,318,157 B2
• Time in Patent Office: Days
• US Class Current: 713/176
• CPC Class Codes: G06F 21/16 Program or content traceability, e.g. by watermarking
• CPC Class Codes: G06T 1/005 Robust watermarking, e.g. average attack or collusion attack resistant
• CPC Class Codes: G06T 2201/0052 Embedding of the watermark in the frequency domain
• CPC Class Codes: G06T 2201/0065 Extraction of an embedded watermark; Reliable detection
• CPC Class Codes: G06T 2201/0083 whereby only watermarked image required at decoder, e.g. source-based, blind, oblivious
• CPC Class Codes: H04L 2463/101 applying security measures for digital rights management data processing systems or methods, specially adapted for commerce, e.g. marketing, shopping, billing, auctions or e-commerce G06Q30/00
• CPC Class Codes: H04L 63/1441 Countermeasures against malicious traffic countermeasures against attacks on cryptographic mechanisms H04L9/002
• CPC Class Codes: H04N 1/32144 embedded in the image data, i.e. enclosed or integrated in the image, e.g. watermark, super-imposed logo or stamp
• CPC Class Codes: H04N 1/32149 Methods relating to embedding, encoding, decoding, detection or retrieval operations
• CPC Class Codes: H04N 1/32154 Transform domain methods H04N1/32309 takes precedence
• CPC Class Codes: H04N 1/3217 using wavelet transforms
• CPC Class Codes: H04N 1/32187 with selective or adaptive application of the additional information, e.g. in selected frequency coefficients
• CPC Class Codes: H04N 1/32277 Compression
• CPC Class Codes: H04N 1/3232 Robust embedding or watermarking
• CPC Class Codes: H04N 1/32341 Blind embedding, i.e. the original image not being known beforehand
• CPC Class Codes: H04N 21/8358 involving watermark protecting executable software by watermarking G06F21/16; image watermarking in general G06T1/0021; watermarks inserted in still images for transmission purposes H04N1/32144; inserting watermarks during video coding H04N19/467
• CPC Class Codes: H04N 2201/3233 of authentication information, e.g. digital signature, watermark
• CPC Class Codes: H04N 2201/327 which are undetectable to the naked eye, e.g. embedded codes

Abstract

An implementation of a technology is described herein for deriving robust non-local characteristics and quantizing such characteristics for blind watermarking of a digital good.

Claims

1. A method facilitating protection of digital signals, the method comprising:

normalizing amplitude of a subject digital signal;

transforming the normalized signal;

partitioning the normalized signal transform into segments;

for one or more segments;

calculating statistics of a segment that are representative of that segment;

quantizing such statistics of a segment to generated a quantized value of that segment;

measuring the distance between such statistics of a segment and the quantized value of that segment;

determining whether a watermark is present in the digital signal based upon the quantized values of the one or more segments.

2. A method as recited in claim 1, wherein measuring the distance comprising using perceptual distortion matrics.

3. A method as recited in claim 1 further comprising:

determining an indication of confidence based upon the measured distances of the measuring;

indicating an indication of confidence.

4. A method as recited in claim 1 further comprising indicating whether a watermark is present.

5. A method as recited in claim 1 further comprising indicating whether a watermark is present, wherein such indication is selected from a group consisting of “

present,”

“

not present,” and

“

unknown.”

6. A method as recited in claim 1, wherein the partitioning comprises pseudorandomly segmenting the normalized signal transform.

7. A method as recited in claim 1, wherein the partitioning comprises pseudorandomly segmenting the normalized signal transform, wherein such segments are adjacent and non-contiguous.

8. A method as recited in claim 1, wherein the transforming comprises finding a low frequency subband.

9. A method as recited in claim 1, wherein the transforming comprises finding a significant frequency subband.

10. A method as recited in claim 1, wherein the statistics of the calculating comprises one or more finite order moments of a segment.

11. A method as recited in claim 1, wherein the determining comprises detecting a watermark via quantization index modulation (QIM) techniques.

12. A computer comprising one or more computer-readable media having computer-executable instructions that, when executed by the computer, perform the method as recited in claim 1.

13. One or more computer-readable media having computer-executable instructions thereon that, when executed by a computer, perform acts for facilitating protection of digital signals, the acts comprising:

normalizing amplitude of a subject digital signal;

transforming the normalized signal;

partitioning the normalized signal transform into segments;

for one or more segments;

calculating statistics of a segment that are representative of that segment;

quantizing such statistics of a segment to generated a quantized value of that segment;

measuring the distance between such statistics of a segment and the quantized value of that segment;

determining whether a watermark is present in the digital signal based upon the quantized values of the one or more segments.

14. One or more computer-readable media as recited in claim 13, wherein measuring the distance comprising using perceptual distortion matrics.

15. One or more computer-readable media as recited in claim 13 further comprising:

determining an indication of confidence based upon the measured distances of the measuring;

indicating an indication of confidence.

16. One or more computer-readable media as recited in claim 13 further comprising indicating whether a watermark is present.

17. One or more computer-readable media as recited in claim 13 further comprising indicating whether a watermark is present, wherein such indication is selected from a group consisting of “

present,”

“

not present,” and

“

unknown.”

18. One or more computer-readable media as recited in claim 13, wherein the partitioning comprises pseudorandomly segmenting the normalized signal transform.

19. One or more computer-readable media as recited in claim 13, wherein the partitioning comprises pseudorandomly segmenting the normalized signal transform, wherein such segments are adjacent and non-contiguous.

20. A One or more computer-readable media as recited in claim 13, wherein the transforming comprises finding a low frequency subband.

21. One or more computer-readable media as recited in claim 13, wherein the transforming comprises finding a significant frequency subband.

22. One or more computer-readable media as recited in claim 13, wherein the statistics of the calculating comprises one or more finite order moments of a segment.

23. One or more computer-readable media as recited in claim 13, wherein the determining comprises detecting a watermark via quantization index modulation (QIM) techniques.

24. A method facilitating protection of digital signals, the method comprising:

partitioning a subject digital signal into segments;

for one or more segments;

calculating statistics of a segment that are representative of that segment;

quantizing such statistics of a segment to generated a quantized value of that segment;

determining whether a watermark is present in the digital signal based upon the quantized values of the one or more segments.

25. A method as recited in claim 24 further comprising:

normalizing amplitude of the subject digital signal;

transforming the normalized signal.

26. A method as recited in claim 24 further comprising:

for one or more segments, measuring the distance between such statistics of a segment and the quantized value of that segment;

determining an indication of confidence based upon the measured distances of the measuring;

indicating an indication of confidence.

27. A method as recited in claim 24 further comprising indicating whether a watermark is present.

28. A method as recited in claim 24 further comprising indicating whether a watermark is present, wherein such indication is selected from a group consisting of “

present,”

“

not present,” and

“

unknown.”

29. A method as recited in claim 24, wherein the partitioning comprises pseudorandomly segmenting the signal.

30. A method as recited in claim 24, wherein the partitioning comprises pseudorandomly segmenting the signal, wherein such segments are adjacent and non-contiguous.

31. A method as recited in claim 24, wherein the statistics of the calculating comprises one or more finite order moments of a segment.

32. A method as recited in claim 24, wherein the determining comprises detecting a watermark via quantization index modulation (QIM) techniques.

33. A computer comprising one or more computer-readable media having computer-executable instructions that, when executed by the computer, perform the method as recited in claim 24.

34. One or more computer-readable media having computer-executable instructions thereon that, when executed by a computer, perform acts for facilitating protection of digital signals, the acts comprising:

partitioning a subject digital signal into segments;

for one or more segments;

calculating statistics of a segment that are representative of that segment;

quantizing such statistics of a segment to generated a quantized value of that segment;

determining whether a watermark is present in the digital signal based upon the quantized values of the one or more segments.

35. One or more computer-readable media as recited in claim 34 further comprising:

normalizing amplitude of the subject digital signal;

transforming the normalized signal.

36. One or more computer-readable media as recited in claim 34 further comprising:

for one or more segments, measuring the distance between such statistics of a segment and the quantized value of that segment;

determining an indication of confidence based upon the measured distances of the measuring;

indicating an indication of confidence.

37. One or more computer-readable media as recited in claim 34 further comprising indicating whether a watermark is present.

38. One or more computer-readable media as recited in claim 34 further comprising indicating whether a watermark is present, wherein-such indication is selected from a group consisting of “

present,”

“

not present,” and

“

unknown.”

39. One or more computer-readable media as recited in claim 34, wherein the partitioning comprises pseudorandomly segmenting the signal.

40. One or more computer-readable media as recited in claim 34, wherein the partitioning comprises pseudorandomly segmenting the signal, wherein such segments are adjacent and non-contiguous.

41. One or more computer-readable media as recited in claim 34, wherein the statistics of the calculating comprises one or more finite order moments of a segment.

42. One or more computer-readable media as recited in claim 34, wherein the determining comprises detecting a watermark via quantization index modulation (QIM) techniques.