METHOD AND APPARATUS FOR CLASSIFICATION OF MEDIA BASED ON METADATA

• US 20150331930A1
• Filed: 05/16/2014
• Published: 11/19/2015
• Est. Priority Date: 05/16/2014
• Status: Abandoned Application

• Current Assignee: HERE Global B.V. (HERE Holding Corporation)
• Original Assignee: HERE Global B.V. (HERE Holding Corporation)
• Inventors: XING, Ye, GUPTA, Vivek, WU, Tao
• Application Number:
  US14/280,146
• Publication Number:
  US 20150331930A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06F 16/54 Browsing; Visualisation therefor
• 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: G06F 16/60 of audio data
• CPC Class Codes: G06F 16/63 Querying
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques

Abstract

An approach is provided for processing and/or facilitating a processing of metadata associated with one or more media items to determine one or more observed values for one or more classification parameters, wherein the one or more classification parameters include, at least in part, a number of captured media items per day, a distance of one or more capture locations from at least one home location, or a combination thereof. The approach involves causing, at least in part, a comparison of the one or more observed values against one or more references values for the one or more classification parameters. The approach also involves causing, at least in part, a classification of the one or more media items as being associated with at least one multi-day event based, at least in part, on the comparison.

Claims

1. A method comprising:

processing and/or facilitating a processing of metadata associated with one or more media items to determine one or more observed values for one or more classification parameters, wherein the one or more classification parameters include, at least in part, a number of captured media items per day, a distance of one or more capture locations from at least one home location, or a combination thereof;

causing, at least in part, a comparison of the one or more observed values against one or more references values for the one or more classification parameters; and

causing, at least in part, a classification of the one or more media items as being associated with at least one multi-day event based, at least in part, on the comparison.

2. A method of claim 1, further comprising:

causing, at least in part, an organizing of the one or more media items into one or more albums based, at least in part, on the classification,

wherein the one or more albums are associated with the at least one multi-day event.

3. A method of claim 2, further comprising:

determining that the one or more media items are not associated with geo-location information; and

causing, at least in part, an inference of the geo-location information based, at least in part, on the classification,

wherein the organizing of the one or more media items is further based, at least in part, on the inference of the geo-location information.

4. A method of claim 1, further comprising:

processing and/or facilitating a processing of behavioral pattern data associated with one or more reference users to determine the one or more reference values, the one or more classification parameters or a combination thereof,

wherein the one or more references are engaged in at least one reference multi-day trip.

5. A method of claim 4, further comprising:

processing and/or facilitating a processing of individual behavioral pattern data associated with at least one user capturing the one or more media items to cause, at least in part, an adaptation of the one or more references values,

wherein the comparison of the one or more observed values, the classification of the one or more media items, or a combination thereof is further based, at least in part, on the adaption of the one or more reference values.

6. A method of claim 5, wherein the individual behavioral pattern data relate, at least in part, to a media capturing behavior, a media organizing behavior, or a combination thereof.

7. A method of claim 1, further comprising:

causing, at least in part, a hierarchical clustering of the one or more media items following the classification of the one or more media items,

wherein the hierarchical clustering is based, at least in part, on one or more contextual parameters; and

wherein the one or more contextual parameters include, at least in part, a geo-location parameter, a temporal parameter, or a combination thereof.

8. A method of claim 7, further comprising:

causing, at least in part, an initiation of the hierarchical clustering when the classification of the one or more media items indicates that the one or more media items is associated with at least one one-day event.

9. A method of claim 1, further comprising:

causing, at least in part, a calculation of one or more statistical metrics based, at least in part, on the one or more observed values, the one or more reference values, or a combination thereof,

wherein the comparison of the one or more observed values, the classification of the one or more media items, or a combination thereof is further based, at least in part, on the one or more statistical metrics; and

wherein the one or more statistical metrics include, at least in part, a standard deviation, a variance, or a combination thereof.

10. A method of claim 1, wherein the classification of the one or more media items further classifies the one or more media items as being associated with one or more sub-events of the at least one multi-day event based, at least in part, on the comparison.

11. An apparatus comprising:

at least one processor; and

at least one memory including computer program code for one or more programs,

the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following,

process and/or facilitate a processing of metadata associated with one or more media items to determine one or more observed values for one or more classification parameters, wherein the one or more classification parameters include, at least in part, a number of captured media items per day, a distance of one or more capture locations from at least one home location, or a combination thereof;

cause, at least in part, a comparison of the one or more observed values against one or more references values for the one or more classification parameters; and

cause, at least in part, a classification of the one or more media items as being associated with at least one multi-day event based, at least in part, on the comparison.

12. An apparatus of claim 11, wherein the apparatus is further caused to:

cause, at least in part, an organizing of the one or more media items into one or more albums based, at least in part, on the classification,

wherein the one or more albums are associated with the at least one multi-day event.

13. An apparatus of claim 12, wherein the apparatus is further caused to:

determine that the one or more media items are not associated with geo-location information; and

cause, at least in part, an inference of the geo-location information based, at least in part, on the classification,

wherein the organizing of the one or more media items is further based, at least in part, on the inference of the geo-location information.

14. An apparatus of claim 11, wherein the apparatus is further caused to:

process and/or facilitate a processing of behavioral pattern data associated with one or more reference users to determine the one or more reference values, the one or more classification parameters or a combination thereof,

wherein the one or more references are engaged in at least one reference multi-day trip.

15. An apparatus of claim 14, wherein the apparatus is further caused to:

process and/or facilitate a processing of individual behavioral pattern data associated with at least one user capturing the one or more media items to cause, at least in part, an adaptation of the one or more references values,

wherein the comparison of the one or more observed values, the classification of the one or more media items, or a combination thereof is further based, at least in part, on the adaption of the one or more reference values.

16. An apparatus of claim 11, wherein the apparatus is further caused to:

cause, at least in part, a hierarchical clustering of the one or more media items following the classification of the one or more media items,

wherein the hierarchical clustering is based, at least in part, on one or more contextual parameters; and

wherein the one or more contextual parameters include, at least in part, a geo-location parameter, a temporal parameter, or a combination thereof.

17. An apparatus of claim 16, wherein the apparatus is further caused to:

cause, at least in part, an initiation of the hierarchical clustering when the classification of the one or more media items indicates that the one or more media items is associated with at least one one-day event.

18. A computer-readable storage medium carrying one or more sequences of one or more instructions which, when executed by one or more processors, cause an apparatus to at least perform the following steps:

process and/or facilitate a processing of metadata associated with one or more media items to determine one or more observed values for one or more classification parameters, wherein the one or more classification parameters include, at least in part, a number of captured media items per day, a distance of one or more capture locations from at least one home location, or a combination thereof;

cause, at least in part, a comparison of the one or more observed values against one or more references values for the one or more classification parameters; and

cause, at least in part, a classification of the one or more media items as being associated with at least one multi-day event based, at least in part, on the comparison.

19. A computer-readable storage medium of claim 18, wherein the apparatus is further caused to:

cause, at least in part, an organizing of the one or more media items into one or more albums based, at least in part, on the classification,

wherein the one or more albums are associated with the at least one multi-day event.

20. A computer-readable storage medium of claim 18, wherein the apparatus is further caused to:

determine that the one or more media items are not associated with geo-location information; and

cause, at least in part, an inference of the geo-location information based, at least in part, on the classification,

wherein the organizing of the one or more media items is further based, at least in part, on the inference of the geo-location information.

21-48. -48. (canceled)