AUTOMATIC STORY CREATION USING SEMANTIC CLASSIFIERS FOR IMAGES AND ASSOCIATED META DATA

• US 20080306995A1
• Filed: 06/05/2007
• Published: 12/11/2008
• Est. Priority Date: 06/05/2007
• Status: Abandoned Application

• Current Assignee: Eastman Kodak Company
• Original Assignee: Intellectual Ventures Fund 83 LLC (Intellectual Ventures LLC)
• Inventors: Wood, Mark D., Costello, Kathleen M., Poetker, Robert B., Newell, Catherine D.
• Application Number:
  US11/758,358
• Publication Number:
  US 20080306995A1
• Time in Patent Office: Days
• US Class Current: 707/104.1
• CPC Class Codes: G06F 16/51 Indexing; Data structures therefor; Storage structures
• 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: G11B 27/034 on discs G11B27/036, G11B27/038 take precedence
• CPC Class Codes: G11B 27/28 by using information signals recorded by the same method as the main recording G11B27/22 takes precedence

Abstract

A method and system for automatically creating an image product based on assets stored in a user database. A number of stored digital media files are analyzed to determine their semantic relationship to an event and are classified according to requirements and semantic rules for generating the image product. These requirements and rules refine the association between the assets and the event for which the image product is generated. The assets which best meet the requirements and rules of the image product are ranked and the highest ranking ones are included in the image product.

Claims

1. A method for automatically creating an image product comprising the steps of:

obtaining a plurality of digital media files associated with an event;

automatically classifying the event based on analyzing said plurality of digital media files;

automatically determining an output product based upon analyzing said digital media files; and

automatically selecting appropriate ones of said digital media files in accordance with requirements of said output product.

2. The method according to claim 1 wherein the requirements include a time duration for presentation of the media files.

3. The method according to claim 1 wherein the requirements include quality characteristics of the media files.

4. The method according to claim 1, wherein said step of automatically selecting appropriate ones of said digital media files further comprises the steps of:

obtaining a list of image characteristics associated with the event;

automatically determining which of the plurality of digital media files meet at least one predefined rule;

automatically ranking said digital media files that match said rules in accordance with the quality of said digital media files;

automatically compiling said digital media files having the highest ranking quality and meeting said predefined rule; and

automatically generating said image product using said compiled digital media files.

5. The method according to claim 4, wherein said at least one predetermined rule comprises requiring that a person, place, time, or geographic location associated with said event appears in the digital media file.

6. The method according to claim 4, wherein the step of automatically generating said image product further includes the step of arranging the media files on a visual background.

7. The method according to claim 4, wherein the step of automatically generating said image product further includes the step of calculating available time or space for the media files and calculating time or space required by the media files.

8. The method according to claim 4, wherein the step of automatically generating said image product further includes the step of storing the image product on a portable storage medium.

9. The method according to claim 4, wherein the step of automatically generating said image product further includes the step of transmitting the image product to a display device over a network.

10. The method according to claim 1, further comprising producing a second image product, comprising the steps of:

automatically determining a reoccurrence of said event;

automatically identifying a second plurality of digital media files relating to said reoccurrence of said event;

automatically determining an output product based on analyzing said second plurality of digital media files; and

automatically selecting an appropriate number of digital media files from said second set that coincides with the requirements of said second output product.

11. The method according to claim 10 wherein the reoccurrence is a weekly, monthly, or annual anniversary.

12. The method according to claim 1 wherein said digital media files, each include an associated image or video segment.

13. A method for automatically creating an image product comprising the steps of:

automatically analyzing a plurality of digital media files so as to obtain associated meta data and derived meta data with respect to said plurality of digital media files;

automatically determining the occurrence and number of occurrences of substantial similar meta data elements among said digital media files;

automatically grouping said digital media files based on the number of times a particular meta data element occurs among said plurality of digital media files;

automatically determining the classification associated with the most occurring meta data elements; and

automatically creating a digital media output product utilizing classifications associated with the most frequently occurring meta data elements incorporated therein.

14. A method according to claim 13, wherein said associated meta data and derived meta date is obtained using semantic searching that includes information related to a requester of said image product.

15. A method according to claim 14, wherein the classifications are hierarchical in construction with each classification consisting of one or more sub-classes, and wherein each sub-class in addition to selecting a specified multimedia digital file, selects a specified property/characteristic of said digital media file, wherein the total number of digital media files obtained are limited by a further sub-class which is either a constant or a computed value.

16. A program storage device readable by a computer system, tangibly embodying a program of instructions executable by the computer system to perform method steps for generating an image product, said method steps comprising:

detecting an image product trigger;

locating a plurality of digital media files associated with an event associated with the product trigger;

automatically classifying the plurality of digital media files based on analyzing metadata associated therewith;

automatically selecting ones of the plurality of digital media files based on the classifying step;

ranking the selected ones of the digital media files;

selecting a product format based upon the event associated with the product trigger; and

generating an image product based on the selected product format including the ranked digital media files.

17. The program storage device of claim 16, wherein the product trigger is uploading a plurality of digital media files to the computer system.

18. The program storage device of claim 16, wherein the product trigger is a date flagged on a calendar of the computer system.

19. The program storage device of claim 16, wherein the ranking step further comprises the step of calculating an image value index.

20. The program storage device of claim 16, wherein the step of generating an image product further comprises the step of including only a best ranked subset of the ranked digital media files.