Method and system for automatically selecting images from among multiple images

• US 20060259863A1
• Filed: 05/12/2005
• Published: 11/16/2006
• Est. Priority Date: 05/12/2005
• Status: Active Grant

• Current Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Obrador, Pere, Gargi, Ullas
• Granted Patent: US 7,908,558 B2
• Time in Patent Office: Days
• US Class Current: 715/723
• CPC Class Codes: G06F 16/50 of still image data
• CPC Class Codes: G11B 27/034 on discs G11B27/036, G11B27/038 take precedence
• CPC Class Codes: G11B 27/105 of operating discs

Abstract

Exemplary embodiments of the present invention are directed to a method for automatically selecting images, from among multiple images, for sequential display, comprising: establishing a total time for a sequential display of a set of selected images; clustering images into groups; ordering the images based on image quality; and selecting at least one of the images within a selected group based on the image quality and total time for inclusion in the set of selected images

Claims

1. Method for automatically selecting images, from among multiple images, for sequential display, comprising:

establishing a total time for a sequential display of a set of selected images;

clustering images into groups;

ordering the images based on image quality; and

selecting at least one image within a group, based on the image quality of the image and the total time, for inclusion in the set of selected images.

2. Method according to claim 1, comprising:

selecting the at least one image as a function of a characteristic of a group.

3. Method according to claim 2, comprising:

selecting an image as a function of a characteristic representing a temporal extent of a group, and as a function of a number of images already selected from the group.

4. Method according to claim 3, wherein the selecting is performed by dividing a value which is a function of the temporal extent by a value which is a function of the number of images already selected from the group.

5. Method according to claim 4, wherein the value is determined as a relative coverage of images within the group, the relative coverage being determined as a function of a temporal characteristic of images already selected from the group, divided by a histogram of images contained within the group.

6. Method according to claim 1, comprising:

selecting an image from a group as a function of a characteristic of the image quality divided by a value which is a function of a percentage of images already selected from the group.

7. Method according to claim 1, comprising:

establishing a display time with which each selected image will be displayed within the sequential display, and selecting a total number of N of images to be included within the set of selected images.

8. Method according to claim 1, comprising:

continuing the selecting of images until a total number of N images has been selected for inclusion within the set of selected images.

9. Method according to claim 1, comprising:

selecting at least one image from each group for inclusion in the set of selected images.

10. Method according to claim 1, comprising:

selecting no more than a maximum number of images from a group.

11. Method according to claim 1, comprising:

ordering images within all of the groups based on image quality.

12. Method according to claim 1, wherein the ordering includes:

assigning a quality number to each image within at least one of the groups.

13. Method according to claim 12, comprising:

assigning a quality number to all images which are to be ordered.

14. Method according to claim 1, wherein the image quality is determined using at least one of image focus, image lighting characteristics, and image color.

15. Method according to claim 1, wherein the clustering is performed using at least one of a timestamp and a geophysical stamp associated with an image.

16. Method according to claim 1, comprising:

establishing a display time for each selected image as a function of image quality.

17. Method according to claim 1, wherein the set of selected images are selected from among a random group of images identified by a user and/or photograph manager in a processor.

18. Method according to claim 1, wherein the ordering includes establishing a scalable list of the images.

19. System for automatically selecting images, from among multiple images, for sequential display, comprising:

a memory for storing multiple images; and

a processor for automatically clustering images into groups, for ordering the images based on image quality, for selecting at least one of the images within a group based on the image quality and a total time established for a sequential display of a set of selected images, and for storing in the memory an indication of each image contained within the set of selected images.

20. System according to claim 19, comprising:

a user interface for establishing the total time for the sequential display of the set of selected images.

21. System according to claim 19, comprising:

a display for displaying the set of selected images, under control of the processor, within a specified sequence and within the total time.

22. System according to claim 19, wherein the selecting is performed as a function of a characteristic of a group.

23. System according to claim 19, wherein the selecting is performed as a function of a characteristic representing a temporal extent of a group, and as a function of a number of images already selected from the group.

24. System according to claim 23, wherein the selecting is performed by dividing the temporal extent by a value which is a function of the number of images already selected from the group.

25. System according to claim 24, wherein the value is determined as a relative coverage of images within the group, the relative coverage being determined as a function of a temporal characteristic of images already selected from the group, divided by a histogram of images contained within the time-based group.

26. System according to claim 19, wherein the selecting is performed as a function of a characteristic of the image quality divided by a value which is a function of a percentage of images already selected from the group.

27. System according to claim 19, wherein a display time with which each image will be displayed is stored in the memory.

28. System according to claim 19, wherein the processor continues the selecting until a total number N of images has been selected for inclusion within the set of selected images.

29. System according to claim 19, wherein the processor selects at least one image from each group for inclusion in the set of selected images.

30. System according to claim 19, wherein the processor orders images within all of the groups based on image quality.

31. System according to claim 19, wherein the processor assigns a quality number to each image within each of the groups.

32. System according to claim 19, wherein the image quality is determined using at least one of image focus, image lighting characteristics, and image color.

33. System according to claim 19, wherein the clustering is performed using at least one of a timestamp and a geophysical stamp associated with an images.