METHOD AND APPARATUS FOR SELECTING A REPRESENTATIVE IMAGE

• US 20120082378A1
• Filed: 06/08/2010
• Published: 04/05/2012
• Est. Priority Date: 06/15/2009
• Status: Abandoned Application

• Current Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Original Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Inventors: Peters, Marc Andre, Fonseca, Pedro
• Application Number:
  US13/377,841
• Publication Number:
  US 20120082378A1
• Time in Patent Office: Days
• US Class Current: 382/165
• CPC Class Codes: G06F 16/58 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually

Abstract

A method of selecting at least one representative image from a plurality of images, the method comprising the steps of: dividing (201) the plurality of images into clusters according to a predetermined characteristic of the content of the plurality of images; selecting (203) at least one of the clusters based on the number of images in each of the clusters; and selecting (205) at least one image from the selected at least one cluster as the representative image.

Claims

1. A method of selecting at least one representative image from a plurality of images, the method comprising the steps of:

dividing (201) the plurality of images into clusters according to a predetermined characteristic of the content of said plurality of images;

selecting (203) at least one of the clusters based on the number of images in each of the clusters; and

selecting (205) at least one image from said selected at least one cluster as the representative image.

2. A method according to claim 1, wherein the step of selecting at least one cluster comprises the step of:

selecting the cluster having the largest number of images.

3. A method according to claim 2, wherein the step of selecting at least one cluster further comprises the step of:

selecting the cluster having the least amount of variation in said predetermined characteristic.

4. A method according to claim 1, wherein the step of selecting at least one image from said selected at least one cluster comprises the step of selecting one image from said selected at least one cluster as said representative image.

5. A method according to claim 1, wherein the step of dividing a plurality of images into clusters comprises the step of:

clustering images having similar characteristics.

6. A method according to claim 5, wherein the step of clustering images having similar characteristics comprises the step of:

clustering images that are visually similar.

7. A method according to claim 1, wherein the step of dividing a plurality of images into clusters comprises the step of:

clustering images captured at a time within a predetermined time interval.

8. A method according to claim 6, wherein the step of clustering images that are visually similar is preceded by the step of:

clustering images captured at time within a predetermined time interval; and

the step of clustering images that are visually similar comprises the step of;

clustering images of said cluster of images captured at time within a predetermined time interval that are visually similar.

9. A method according to claim 5, wherein the step of clustering images having similar characteristics comprises the step of:

extracting at least one feature from each of said plurality of images;

determining the distance between at least one extracted feature of each of said plurality of images; and

clustering images having a distance below a predetermined threshold.

10. A method according to claim 8, wherein said at least one feature comprises one of luminance;

colour information;

colour distribution features;

texture features.

11. A method according to claim 1, wherein the step of selecting at least one image from said selected at least one cluster as a representative image comprises the step of:

selecting the image closest to a centroid of said selected at least one cluster.

12. A method according to claim 1 wherein the step of selecting at least one image from said selected at least one cluster as a representative image comprises the steps of:

determining the presence of at least one face within each of said images of said selected at least one cluster;

determining the ratio of the number of images which contain at least one face to the number of images that contain no face;

selecting an image having a face if said ratio is greater than or equal to 1 or selecting an image without a face if said ratio is less than to 1.

13. A computer program product comprising a plurality of program code portions for carrying out the method according to claim 1.

14. Apparatus (100) for selecting at least one representative image from a plurality of images, the apparatus (100) comprising:

a divider (105) for dividing the plurality of images into clusters according to a predetermined characteristic of the content of said plurality of images;

a selector (107) for selecting at least one of the clusters based on the number of images in each of the clusters and for selecting at least one image from said selected at least one cluster as the representative image.