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Methods for surveying dissemination of proprietary empirical data
RE40919 Methods for surveying dissemination of proprietary empirical data

Patent Drawings:
Inventor: Rhoads
Date Issued: September 22, 2009
Application: 10/766,750
Filed: January 27, 2004
Inventors: Rhoads; Geoffrey B. (West Linn, OR)
Assignee: Digimarc Corporation (Beaverton, OR)
Primary Examiner: Couso; Jose L
Assistant Examiner:
Attorney Or Agent:
U.S. Class: 382/232; 382/100; 386/E5.004; 704/E19.009; 707/E17.112
Field Of Search: 382/100; 382/232; 382/284; 358/3.28; 713/176; 380/54; 380/57; 380/201; 380/203; 380/210; 380/252; 380/287
International Class: H04K 1/00
U.S Patent Documents:
Foreign Patent Documents: 3806411; 058 482; 372 601; 411 232; 441 702; 493 091; 551 016; 581 317; 581 317; 605 208; 629 972; 649 074; 650 146; 705 025; 2063018; 2067871; 2196167; 2204984; 4-248771; 05/242217; 8-30759; WO89/08915; WO93/25038; WO95/10835; WO95/14289; WO95/20291; WO96/26494; WO96/27259
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Abstract: An automated system checks networked computers, such as computers on the internet, for watermarked audio, video, or image data. A report listing the location of such audio, video or image data is generated, and provided to the proprietor(s) thereof identified by the watermark information.
Claim: I claim:

1. A method for surveying distribution of proprietary empirical data sets, such as audio, image, or video data, on computer sites accessible via the internet, comprising: automaticallydownloading data, including empirical data sets, from a plurality of computer sites over the internet; for each of a plurality of empirical data sets obtained by said downloading operation, automatically screening same to identify the potential presenceof identification data steganographically encoded therein; for each of a plurality of empirical data sets screened by said screening operation, discerning identification data, if any, steganographically encoded therein; and generating a reportidentifying steganographically encoded empirical data sets identified by the foregoing steps, and the site from which each was downloaded; wherein there is calibration data steganographically encoded within at least one empirical data set, saidcalibration data having one or more known properties facilitating identification thereof during the discerning step; the method including identifying the calibration data within the empirical data set and using data obtained thereby to aid in discerningthe identification data from the empirical data set; wherein the empirical data set has been corrupted since being encoded, said corruption including a process selected from the group consisting of: misregistration and scaling of the empirical data set; the method further including using said data to compensate for said corruption, wherein the identification data can nonetheless be recovered from the empirical data set notwithstanding said corruption.

2. The method of claim 1 which includes providing a master code signal, and using said code signal is discerning said steganographically encoded identification data from said screened empirical data sets.

3. The method of claim 2 in which said master code signal has the appearance of unpatterned snow if represented in .[.the.]. .Iadd.a .Iaddend.pixel domain.

4. The method of claim 1 in which said discerning of identification data from said downloaded empirical data is accomplished without previous knowledge of the audio, image, or video information represented thereby.

5. The method of claim 1 which includes identifying proprietors of empirical data sets by reference to identification data steganographically discerned therefrom, and reporting to said proprietors the sites from which their empirical data setswere downloaded.

6. The method of claim 5 in which said identification data includes information in addition to data identifying said proprietor, and the method includes providing said additional data to said proprietors.

7. The method of claim 5 in which said identification data is a serial number index into a registry database containing names and contact information for proprietors identified by said identification data.

8. The method of claim 1 in which the empirical data sets include image data, and the method includes: converting said image data to pixel form, if not already in said form; and performing a plurality of statistical analyses on said pixel formimage data to discern the identification data therefrom.

9. The method of claim 8 in which each statistical analysis includes analyzing a collection of spaced apart pixels to decode a single, first bit of the identification data therefrom, said analysis to decode the first bit encompassing not justsaid spaced apart pixels, but also pixels adjacent thereto, said adjacent pixels not being encoded with said first bit.

10. A method for surveying distribution of proprietary empirical data sets on computer sites accessible via the internet, comprising: providing a master code signal useful for detecting steganographic coding within empirical data sets; automatically downloading data, including empirical data sets, from a plurality of computer sites over the internet; for each of a plurality of empirical data sets obtained by said downloading operation, discerning certain identification data, if any,steganographically encoded therein, said discerning employing said master code signal as a decoding key; and generating a report identifying steganographically encoded empirical data sets identified by the foregoing steps, and the site from which eachwas downloaded; wherein there is calibration data steganographically encoded within at least one empirical data set, said calibration data having one or more known properties facilitating identification thereof during the discerning step; the methodincluding identifying the calibration data within the empirical data set and using data obtained thereby to aid in discerning the identification data from the empirical data set; wherein the empirical data set has been corrupted since being encoded,said corruption including a process selected from the group consisting of: misregistration and scaling of the empirical data set; the method further including using said data to compensate for said corruption, wherein the identification data cannonetheless be recovered from the empirical data set notwithstanding said corruption.

11. The method of claim 10 which includes automatically screening each of a plurality of said empirical data sets obtained by said downloading operation, to identify the potential presence of identification data steganographically encodedtherein and, for those data sets that pass said screening process, discerning identification data, if any, steganographically encoded therein.

12. The method of claim 10 in which said master code signal has the appearance of unpatterned snow if represented in .[.the.]. .Iadd.a .Iaddend.pixel domain.

13. The method of claim 10 in which said discerning of identification data from said downloaded empirical data is accomplished without previous knowledge of the audio, image, or video information represented thereby.

14. The method of claim 10 which includes identifying proprietors of empirical data sets by reference to identification data steganographically discerned therefrom, and reporting to said proprietors the sites from which their empirical datasets were downloaded.

15. The method of claim 14 in which said identification data includes information in addition to data identifying said proprietor, and the method includes providing said additional data to said proprietors.

16. The method of claim 14 in which said identification data is a serial number index into a registry database containing names and contact information for proprietors identified by said identification data.

17. The method of claim 10 in which the empirical data sets include image data, and the method includes: converting said image data to pixel form, if not already in said form; and performing a plurality of statistical analyses on said pixelform image data to discern the identification data therefrom.

18. The method of claim 17 in which each statistical analysis includes analyzing a collection of spaced apart pixels to decode a single, first bit of the identification data therefrom, said analysis to decode the first bit encompassing not justsaid spaced apart pixels, but also pixels adjacent thereto, said adjacent pixels not being encoded with said first bit.
Description:
 
 
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