PRINTER IMAGE LOG SYSTEM FOR DOCUMENT GATHERING AND RETENTION

• US 20100253967A1
• Filed: 04/02/2009
• Published: 10/07/2010
• Est. Priority Date: 04/02/2009
• Status: Active Grant

• Current Assignee: Xerox Corporation (Xerox Holdings Corp.)
• Original Assignee: Xerox Corporation (Xerox Holdings Corp.)
• Inventors: Privault, Caroline, Ellefson, Jean M., Reisler, Yeriv Reave, Ciriza, Victor
• Granted Patent: US 8,339,680 B2
• Time in Patent Office: Days
• US Class Current: 358/1.150
• CPC Class Codes: G06F 16/58 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 18/21 Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
• CPC Class Codes: G06F 18/214 Generating training patterns; Bootstrap methods, e.g. bagging or boosting
• CPC Class Codes: G06V 10/70 using pattern recognition or machine learning optical pattern recognition or electronic computations therefor G06V10/88
• CPC Class Codes: H04N 1/00222 details of image data generation or reproduction, e.g. scan-to-email or network printing
• CPC Class Codes: H04N 1/32117 in a separate transmission or protocol signal prior to or subsequent to the image data transmission, e.g. in digital identification signal [DIS], in non standard setup [NSS] or in non standard field [NSF] for mode signalling H04N1/333
• CPC Class Codes: H04N 1/32529 of different type, e.g. internal and external devices
• CPC Class Codes: H04N 2201/3207 of an address
• CPC Class Codes: H04N 2201/3232 of a page, copy or picture number
• CPC Class Codes: H04N 2201/3276 of a customised additional information profile, e.g. a profile specific to a user ID
• CPC Class Codes: H04N 2201/3277 The additional information being stored in the same storage device as the image data

Abstract

A system and method for document image acquisition and retrieval which find application in litigation for responding to discovery requests are disclosed. The method includes automatically acquiring image data and associated records for documents being processed by a plurality of image output devices within an organization and archiving the image data and associated records as image logs for the processed documents. When a request for document production is received by the organization, the image logs (and/or information extracted therefrom) are automatically filtered through at least one classifier trained to return documents responsive to the document request, and documents corresponding to the filtered out image logs are output. One of the filters may be configured for filtering privileged from non-privileged documents.

Claims

1. A method for document image acquisition and retrieval comprising:

automatically acquiring image logs comprising image data and associated records for documents being processed by a plurality of image output devices within an organization;

archiving the image logs for the processed documents in a computer-readable storage medium;

when a request for document production is received by the organization, automatically filtering the image logs, through at least one classifier trained to return documents responsive to the document request; and

outputting responsive documents.

2. The method of claim 1, further comprising performing optical character recognition of the image data to identify textual content of the documents and wherein the image logs filtered in the classification of the documents includes the textual content.

3. The method of claim 1, further comprising identifying duplicate document images and archiving only a single one of the duplicate images which is associated with plural image logs.

4. The method of claim 1, wherein at least one of the image output devices is a multifunction device and wherein for documents processed by scanning, the acquiring of the associated records includes detecting an identity of a person performing the scanning.

5. The method of claim 1, wherein the at least one classifier includes a first classifier trained to return documents responsive to the document request and a second classifier trained to return responsive documents that are privileged.

6. The method of claim 1, wherein the document request is a request for discovery of responsive documents in litigation.

7. The method of claim 1, further comprising identifying features of documents contributing to their classification as responsive or non-responsive.

8. The method of claim 1, wherein the at least one classifier is a binary classifier.

9. The method of claim 1, wherein the automatically acquiring image data includes acquiring the images from the image output device or from a print server communicatively lined to the image output device.

10. The method of claim 1, further comprising automatically forming a collection of all documents returned by at least one of the at least one classifier and certifying them as a whole so that any tampering is detectable.

11. The method of claim 1, wherein the automatic acquiring of image logs for documents being processed by the plurality of image output devices within an organization ensures that image data is acquired for all documents being processed by the organization'"'"'s image processing devices.

12. The method of claim 1, wherein the image log records each include job information and user information.

13. The method of claim 1, wherein the archiving and filtering are preformed at a location outside the control of the organization.

14. The method of claim 1, wherein the automatically acquiring image data precludes acquiring image data resident on a workstation which has not been output for processing by the image output device.

15. A computer program product encoding instructions, which when executed on a computer causes the computer to perform the method of claim 1.

16. A computer implemented system for performing the method of claim 1 comprising software instructions stored in memory for performing the method and at least one processor, in communication with the memory, for executing the instructions.

17. A computer implemented system for document image log acquisition and retrieval comprising:

a capturing component which automatically acquires image data and associated records for documents being processed by a plurality of image output devices;

an archiving component which receives the acquired image data and records from the capturing component and archives image logs comprising the image data and associated records in an associated archive;

a selection component which automatically filters the image logs or information extracted therefrom through at least one classifier trained to return documents responsive to a document request.

18. The system of claim 17, wherein the capturing component includes an OCR processing component which processed the acquired documents to identify textual content and wherein the classifier is configured for being trained on text content of a training set of responsive documents.

19. The system of claim 17, wherein the capturing component, archiving component, and selection component are maintained at a location remote from the image output devices.

20. The method of claim 17, further comprising a watchdog component which allows users to review the archived image logs without modifying or deleting them.

21. A method for document image acquisition and retrieval comprising:

automatically capturing image logs for all documents being printed, copied, scanned, or faxed by any one of a plurality of image output devices within an organization, the image output devices being selected from printers, copiers, scanners, fax machines and multifunction devices;

automatically archiving the captured image logs for at least a predetermined retention period;

when a request for document production is received by the organization, training at least one classifier with a training set of responsive documents and automatically filtering the archived captured image logs or information extracted therefrom through the at least one classifier to generate a set of responsive documents corresponding to filtered ones of the image logs; and

outputting the set of responsive documents.

22. The method of claim 21, wherein the at least one classifier comprises a first binary classifier which identifies the responsive documents and a second binary classifier which identifies privileged ones of the responsive documents.