METHOD AND APPARATUS FOR OBJECT IDENTIFICATION WITHIN A MEDIA FILE USING DEVICE IDENTIFICATION

• US 20110243449A1
• Filed: 03/31/2010
• Published: 10/06/2011
• Est. Priority Date: 03/31/2010
• Status: Abandoned Application

• Current Assignee: Nokia Corporation
• Original Assignee: Nokia Corporation
• Inventors: Hannuksela, Miska, Eronen, Antti
• Application Number:
  US12/751,638
• Publication Number:
  US 20110243449A1
• Time in Patent Office: Days
• US Class Current: 382/190
• CPC Class Codes: G06V 20/30 in albums, collections or shared content, e.g. social network photos or video
• CPC Class Codes: G06V 40/16 Human faces, e.g. facial parts, sketches or expressions
• CPC Class Codes: G06V 40/70 Multimodal biometrics, e.g. combining information from different biometric modalities
• CPC Class Codes: G10L 17/00 Speaker identification or verification techniques

Abstract

A method, apparatus, and computer program product are therefore provided for identifying a person or people in a media file by using object recognition and near-field communication to detect nearby devices that may be associated with a person or people featured in the media file. Associating a nearby device with a person or people featured in a media file may add to the confidence level with which a person is identified within a media file using object recognition, which may include facial recognition and/or speaker recognition.

Claims

1. A method comprising:

receiving a first media file;

identifying a first nearby device using near-field communication; and

analyzing the first media file to identify an object within the first media file based on the identification of the first nearby device.

2. The method according to claim 1, wherein the analyzing includes object recognition.

3. The method according to claim 2, wherein the analyzing comprises increasing the likelihood of recognizing a first object associated with the first nearby device.

4. The method according to claim 3, further comprising generating a probability that is based upon the likelihood of the first object being correctly recognized.

5. The method according to claim 2, further comprising associating the first media file with the first object.

6. The method according to claim 1, further comprising:

capturing a second media file; and

identifying a second nearby device using near-field communications;

wherein the analyzing comprises deriving similarity between the first media file and the second media file.

7. The method according to claim 6, wherein the similarity is increased when the first nearby device and the second nearby device are the same or associated with a same object.

8. An apparatus comprising at least one processor and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to:

receive a first media file;

identify a first nearby device using near-field communication means; and

analyze the first media file to identify an object within the first media file based on the identification of the first nearby device.

9. The apparatus according to claim 8, wherein the analyzing includes object recognition.

10. The apparatus according to claim 9, wherein the analyzing comprises increasing the likelihood of recognizing a first object associated with the first nearby device.

11. The apparatus according to claim 10, wherein the apparatus is further caused to generate a probability that is based upon the likelihood of the first object being correctly recognized.

12. The apparatus according to claim 9, wherein the apparatus is further caused to associate the first media file with the first object.

13. The apparatus according to claim 8, wherein the apparatus is further caused to:

capture a second media file; and

identify a second nearby device using near-field communication means;

wherein the analyzing comprises deriving similarity between the first media file and the second media file.

14. The apparatus according to claim 13, wherein the similarity is increased when the first nearby device and the second nearby device are the same or associated with the same object.

15. A computer program product comprising at least one computer-readable storage medium having computer-executable program code instructions stored therein, the computer-executable program code instructions comprising:

program code instructions for receiving a first media file;

program code instructions for identifying a first nearby device using near-field communication means; and

program code instructions for analyzing the first media file, to identify an object within the first media file based on the identification of the first nearby device.

16. The computer program product according to claim 15, wherein the program code instructions for analyzing the first media file include program code instructions for object recognition.

17. The computer program product according to claim 16, wherein the program code instructions for analyzing the first media file comprise increasing the likelihood of recognizing a first object associated with the first nearby device.

18. The computer program product according to claim 17, further comprising program code instructions for generating a probability that is based upon the likelihood of the first object being correctly recognized.

19. The computer program product of claim 15, further comprising program code instructions for capturing a second media file and program code instructions for identifying a second nearby device using near-field communication means;

wherein the analyzing comprises deriving similarity between the first media file and the second media file.

20. The computer program product of claim 19, wherein the similarity is increased when the first nearby device and the second nearby device are the same or associated with the same object.