METHOD AND APPARATUS FOR SEGMENTING AND SUMMARIZING MEDIA CONTENT

• US 20110208722A1
• Filed: 02/23/2010
• Published: 08/25/2011
• Est. Priority Date: 02/23/2010
• Status: Active Grant

• Current Assignee: WSOU Investments, LLC (WSOU Holdings, LLC)
• Original Assignee: Nokia Corporation
• Inventors: Hannuksela, Miska
• Granted Patent: US 8,489,600 B2
• Time in Patent Office: Days
• US Class Current: 707/723
• CPC Class Codes: G06F 16/41 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/487 using geographical or spatial information, e.g. location
• CPC Class Codes: G06F 16/489 using time information
• CPC Class Codes: G11B 27/034 on discs G11B27/036, G11B27/038 take precedence
• CPC Class Codes: G11B 27/28 by using information signals recorded by the same method as the main recording G11B27/22 takes precedence
• CPC Class Codes: H04N 21/8456 by decomposing the content in the time domain, e.g. in time segments

Abstract

An approach is provided for increasing content relevancy to user search queries by segmenting and summarizing media content. A probabilistic tag application segments a first media content item into at least a first segment and a second segment, associates a first keyword with the first segment, and assigns to the first keyword a first probability value indicating relevance of the first keyword to the first segment. Thereafter, the probabilistic tag application includes the first segment in a search result, in response to a search query including the first keyword.

Claims

1. A method comprising:

segmenting a first media content item into at least a first segment and a second segment;

associating a first keyword with the first segment;

assigning to the first keyword a first probability value indicating relevance of the first keyword to the first segment; and

in response to a search query including the first keyword, including the first segment in a search result.

2. A method of claim 1, further comprising:

in response to a user selection of the search result, increasing the first probability value.

3. A method of claim 1, wherein at least one of the associating and the assigning is based upon at least one of metadata of the first media content item, content analysis on the first media content item, and user inputs.

4. A method of claim 1, further comprising:

assigning to the first keyword a second probability value indicating relevance of the first keyword to the second segment;

selecting a higher probability between the first probability value and the second probability value; and

creating a first summary of the first media content item associated with the first keyword by including one of the first and second segments with the higher probability value into the first summary.

5. A method of claim 1, further comprising:

segmenting a second media content item into at least a third segment and a fourth segment, the second media content item being associated with the first media content item by at least one common originating characteristic;

associating the first keyword with the third segment;

assigning to the first keyword a third probability value indicating relevance of the first keyword to the third segment; and

creating a second summary of the first media content item and the second media content item associated with the first keyword based upon the first probability value and the third probability value.

6. A method of claim 5, wherein the at least one common originating characteristic includes at least one of:

originating from an identical event, being captured approximately at an identical location, being captured approximately at an identical time, being captured by an identical person or entity, and being semantically similar.

7. A method of claim 5, further comprising:

identifying that the first segment and the third segment represent substantially identical content;

selecting a higher probability between the first probability value and the third probability value; and

including one of the first and third segments with the higher probability value into the second summary thereby creating the second summary.

8. An apparatus comprising:

at least one processor; and

at least one memory including computer program code,

wherein 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;

segment a first media content item into at least a first segment and a second segment,

associate a first keyword with the first segment,

assign to the first keyword a first probability value indicating relevance of the first keyword to the first segment, and

in response to a search query including the first keyword, include the first segment in a search result.

9. An apparatus of claim 8, wherein the apparatus is further caused to:

in response to a user selection of the search result, increase the first probability value.

10. An apparatus of claim 8, wherein at least one of the associating and the assigning is based upon at least one of metadata of the first media content item, content analysis on the first media content item, and user inputs.

11. An apparatus of claim 8, wherein the apparatus is further caused to:

assign to the first keyword a second probability value indicating relevance of the first keyword to the second segment,

select a higher probability between the first probability value and the second probability value, and

create a first summary of the first media content item associated with the first keyword by including one of the first and second segments with the higher probability value into the first summary.

12. An apparatus of claim 8, wherein the apparatus is further caused to:

segment a second media content item into at least a third segment and a fourth segment, the second media content item being associated with the first media content item by at least one common originating characteristic,

associate the first keyword with the third segment,

assign to the first keyword a third probability value indicating relevance of the first keyword to the third segment, and

create a second summary of the first media content item and the second media content item associated with the first keyword based upon the first probability value and the third probability value.

13. An apparatus of claim 12, wherein the at least one common originating characteristic includes at least one of:

originating from an identical event, being captured approximately at an identical location, being captured approximately at an identical time, being captured by an identical person or entity, and being semantically similar.

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

identify that the first segment and the third have segment represent substantially identical content,

select a higher probability between the first probability value and the third probability value, and

include one of the first and third segments with the higher probability value into the second summary thereby creating the second summary.

15. An apparatus of claim 8, wherein the apparatus is within a user terminal or a server.

16. An apparatus comprising:

at least one processor; and

at least one memory including computer program code,

wherein 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;

receive a first media content item, a first segmentation indicating at least a first segment and a second segment of the first media content item, a first keyword associated with the first segment, and a first probability value indicating relevance of the first keyword to the first segment,

in response to a search query including the first keyword, include the first segment in a search result, and

in response to a user selection of the search result, increase the first probability value.

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

assign to the first keyword a second probability value indicating relevance of the first keyword to the second segment,

select a higher probability between the first probability value and the second probability value, and

create a first summary of the first media content item associated with the first keyword by including one of the first and second segments with the higher probability value into the first summary.

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

segment a second media content item into at least a third segment and a fourth segment, the second media content item being associated with the first media content item by at least one common originating characteristic,

associate the first keyword with the third segment,

assign to the first keyword a third probability value indicating relevance of the first keyword to the third segment, and

create a second summary of the first media content item and the second media content item associated with the first keyword based upon the first probability value and the third probability value.

19. An apparatus of claim 18, wherein the at least one common originating characteristic includes at least one of:

originating from an identical event, being captured approximately at an identical location, being captured approximately at an identical time, being captured by an identical person or entity, and being semantically similar.

20. An apparatus of claim 18, wherein the apparatus is further caused to:

identify that the first segment and the third have segment represent substantially identical content, select a higher probability between the first probability value and the third probability value, and include one of the first and third segments with the higher probability value into the second summary thereby creating the second summary.