Digital watermarking and fingerprinting including synchronization, layering, version control, and compressed embedding

• US 20060280246A1
• Filed: 03/23/2006
• Published: 12/14/2006
• Est. Priority Date: 01/22/2002
• Status: Active Grant

• Current Assignee: Digimarc Corporation
• Original Assignee: Digimarc Corporation
• Inventors: Rhoads, Geoffrey B., Alattar, Adnan M.
• Granted Patent: US 8,150,096 B2
• Time in Patent Office: Days
• US Class Current: 375/240.150
• CPC Class Codes: G06T 1/0064 Geometric transfor invariant watermarking, e.g. affine transform invariant
• CPC Class Codes: G06T 1/0071 using multiple or alternating watermarks
• CPC Class Codes: G06T 1/0085 Time domain based watermarking, e.g. watermarks spread over several images
• CPC Class Codes: G06T 2201/0051 Embedding of the watermark in the spatial domain
• CPC Class Codes: G06T 2201/0052 Embedding of the watermark in the frequency domain
• CPC Class Codes: G06T 2201/0061 Embedding of the watermark in each block of the image, e.g. segmented watermarking
• CPC Class Codes: G06T 2201/0065 Extraction of an embedded watermark; Reliable detection
• CPC Class Codes: G06T 2201/0601 whereby calibration information is embedded in the watermark, e.g. a grid, a scale, a list of transformations

Abstract

This disclosure describes several video watermarking and fingerprinting enhancements. These enhancements include synchronizing watermark detectors with one-dimensional calibration signals, layering digital watermarks, watermarks for version control, compressed domain watermarking, watermarking of video object layers, key channel watermark embedding for video, robust fingerprinting of video and watermarking of scalable video.

Claims

1-39. -39. (canceled)

40. A method for video watermarking in scalable video comprising:

generating a digital watermark signal;

mapping the digital watermark signal to sample locations at different resolutions in the scalable video; and

repeatedly embedding a digital watermark in the video at the different resolutions.

41. The method of claim 40 wherein the different resolutions are different spatial resolutions.

42. The method of claim 40 wherein the different resolutions are different temporal resolutions.

43. The method of claim 40 wherein the different resolutions are different temporal and spatial resolutions.

44. A tangible medium on which is stored instructions for performing the method of claim 40.

45. A method of video fingerprinting comprising:

computing statistics for video frames;

forming a fingerprint of the video as a change in the statistics over the video frames.

46. The method of claim 45 wherein the statistics comprise averages.

47. The method of claim 46 wherein the averages comprise luminance averages.

48. The method of claim 45 wherein the statistics comprise variances.

49. The method of claim 45 wherein a calibration signal is used to align the video before computing the fingerprint.

50. The method of claim 49 wherein the calibration signal comprises an embedded digital watermark in the video.

51. The method of claim 45 including using the fingerprint to look up related information in a database.

52. A tangible medium having instructions for performing the method of claim 45.

53. A method for detecting a digital watermark in a compressed video signal comprising:

parsing the compressed video signal to extract DCT coefficients; and

performing a combined inverse DCT and watermark demodulation operation on the DCT coefficients.

54. A tangible medium on which is stored instructions for performing the method of claim 53.

55. The method of claim 53 wherein the combined inverse DCT and watermark demodulation operation produces estimates of an error correction coded message;

and

performing error correction decoding on the estimates.

56-59. -59. (canceled)

60. A method of video fingerprinting comprising:

computing values representing motion between different portions of the video; and

forming a fingerprint to identify the video utilizing data associated with at least the values.

61. A method of video fingerprinting comprising:

computing values associated with luminance for a first video portion;

computing values associated with luminance for a second video portion;

determining changes in luminance between the first video portion and the second video portion; and

formiing a fingerprint to identify the video based at least in part on data associated with the changes.