Method, apparatus, and program for classifying images

• US 20030184653A1
• Filed: 03/28/2003
• Published: 10/02/2003
• Est. Priority Date: 03/29/2002
• Status: Abandoned Application

• Current Assignee: Fujifilm Corporation (Fujifilm Holdings Corporation)
• Original Assignee: Fujifilm Corporation (Fujifilm Holdings Corporation)
• Inventors: Ohkubo, Akito
• Application Number:
  US10/400,537
• Publication Number:
  US 20030184653A1
• Time in Patent Office: Days
• US Class Current: 348/207.1
• CPC Class Codes: G06F 16/58 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually

Abstract

Image data sets are classified into an event in which the image data sets were obtained. A user sends the image data sets to an image storage server. Tag information reading means in image classification means reads tag information added to the image data sets. The image classification means reads calendar information describing an event period from information database, and classifies the image data sets into the event based on photography date information described in the tag information and the calendar information, to generate classification information. The classification information is stored in a storage database together with the image data sets and thumbnail image data sets of the image data sets.

Claims

1. An image classification method for classifying image data sets added with accompanying information including information on date and time of photography, the image classification method comprising the steps of:

obtaining the information on the date and time of photography from the image data sets; and

classifying the image data sets into a group or groups corresponding to a predetermined event related to a plurality of dates of photography, based on the information on the date and time of photography.

2. An image classification method as defined in claim 1 further comprising the step of obtaining calendar information that relates the predetermined event to the dates of photography, wherein

the step of classifying the image data sets is the step of classifying the image data sets according to the calendar information in addition to the information on the date and time of photography.

3. An image classification method as defined in claim 2, wherein the step of obtaining the calendar information is the step of obtaining the calendar information that relates the predetermined event to the dates of photography from calendar information storing means that stores a plurality of pieces of calendar information corresponding to a plurality of pieces of accompanying information.

4. An image classification method as defined in claim 3, wherein the step of obtaining the calendar information is the step of obtaining a desired one of the pieces of calendar information from the pieces of calendar information according to the accompanying information added to the image data sets, and the step of classifying the image data sets is the step of classifying the image data sets according to the desired piece of calendar information in addition to the information on the date and time of photography.

5. An image classification method as defined in claim 1, further comprising the step of inferring a time period of the predetermined event based on the accompanying information added to the image data sets, wherein

the step of classifying the image data sets is the step of classifying the image data sets according to a result of inference on the time period in addition to the information on the date and time of photography.

6. An image classification method as defined in claim 1, further comprising the step of classifying the image data sets that have been classified into groups having a hierarchical structure.

7. An image classification method as defined in claim 1, further comprising the step of outputting classification information representing a result of classification of the image data sets.

8. An image classification method as defined in claim 7, further comprising the step of displaying the image data sets in the classification according to the classification information.

9. An image classification apparatus for classifying image data sets added with accompanying information including information on date and time of photography, the image classification apparatus comprising:

photography date/time information obtaining means for obtaining the information on the date and time of photography from the image data sets; and

image classification means for classifying the image data sets into a group or groups corresponding to a predetermined event related to a plurality of dates of photography, based on the information on the date and time of photography.

10. An image classification apparatus as defined in claim 9, wherein the image classification means obtains calendar information that relates the predetermined event to the dates of photography and classifies the image data sets according to the calendar information in addition to the information on the date and time of photography.

11. An image classification apparatus as defined in claim 10 further comprising calendar information storing means for storing a plurality of pieces of calendar information corresponding to a plurality of pieces of accompanying information, wherein

the image classification means obtains the calendar information that relates the predetermined event to the dates of photography from the calendar information storing means.

12. An image classification apparatus as defined in claim 11, wherein the image classification means obtains a desired one of the pieces of calendar information from the pieces of calendar information according to the accompanying information added to the image data sets, and classifies the image data sets according to the desired piece of calendar information in addition to the information the on date and time of photography.

13. An image classification apparatus as defined in claim 9 further comprising event period inference means for inferring a time period of the predetermined event based on the accompanying information added to the image data sets, wherein

the image classification means also classifies the image data sets according to a result of inference on the time period.

14. An image classification apparatus as defined in claim 9, wherein the image classification means further classifies the image data sets that have been classified into groups having a hierarchical structure.

15. An image classification apparatus as defined in claim 9 further comprising output mans for outputting classification information representing a result of classification of the image data sets.

16. An image classification apparatus as defined in claim 15 further comprising display means for displaying the image data sets in the classification according to the classification information.

17. A program that causes a computer to execute an image classification method for classifying image data sets added with accompanying information including information on date and time of photography, the program comprising the steps of:

obtaining the information on the date and time of photography from the image data sets; and

classifying the image data sets into a group or groups corresponding to a predetermined event related to a plurality of dates of photography, based on the information on the date and time of photography.

18. A program as defined in claim 17 further comprising the step of obtaining calendar information that relates the predetermined event to the dates of photography, wherein

the step of classifying the image data sets is the step of classifying the image data sets according to the calendar information in addition to the information on the date and time of photography.

19. A program as defined in claim 18, wherein the step of obtaining the calendar information is the step of obtaining the calendar information that relates the predetermined event to the dates of photography from calendar information storing means that stores a plurality of pieces of calendar information corresponding to a plurality of pieces of accompanying information.

20. A program as defined in claim 19, wherein the step of obtaining the calendar information is the step of obtaining a desired one of the pieces of calendar information from the pieces of calendar information according to the accompanying information added to the image data sets and

the step of classifying the image data sets is the step of classifying the image data sets according to the desired piece of calendar information in addition to the information on the date and time of photography.

21. A program as defined in claim 17 further comprising the step of inferring a time period of the predetermined event based on the accompanying information added to the image data sets, wherein

the step of classifying the image data sets is the step of classifying the image data sets according to a result of inference on the time period in addition to the information on the date and time of photography.

22. A program as defined in claim 17, further comprising the step of classifying the image data sets that have been classified into groups having a hierarchical structure.

23. A program as defined in claim 17, further comprising the step of outputting classification information representing a result of classification of the image data sets.

24. A program as defined in claim 23, further comprising the step of displaying the image data sets in the classification according to the classification information.