SYSTEM AND METHOD FOR CLASSIFYING LIVE MEDIA TAGS INTO TYPES

• US 20120072845A1
• Filed: 09/21/2010
• Published: 03/22/2012
• Est. Priority Date: 09/21/2010
• Status: Abandoned Application

• Current Assignee: Avaya Incorporated
• Original Assignee: Avaya Incorporated
• Inventors: JOHN, Ajita, Kelkar, Shreeharsh, Seligmann, Doree Duncan
• Application Number:
  US12/887,248
• Publication Number:
  US 20120072845A1
• Time in Patent Office: Days
• US Class Current: 715/738
• CPC Class Codes: G06F 16/48 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually

Abstract

Disclosed herein are systems, methods, and non-transitory computer-readable storage media for classifying a live media tag into a type. A system configured to practice the method receives a group of tags generated in real time and associated with at least a portion of a live media event, identifies a tag type for at least one tag in the group of tags, and classifies the at least one tag as the tag type. Tag types can include system-defined types, user-entered types, categories, media categories, and text labels. More than one user can generate tags for the media event via more than one tagging platform. The system can further identify the tag type by sending to a user a list of suggested tag types, receiving from the user a selection of a suggested tag type from the list, and identifying the tag type as the suggested tag type.

Claims

1. A method of classifying a live media tag into a type, the method comprising:

receiving a group of tags generated in real time and associated with at least a portion of a live media event;

identifying a tag type for at least one tag in the group of tags; and

classifying the at least one tag as the tag type.

2. The method of claim 1, wherein the tag type is at least one of a system-defined type, a user-entered type, a category, a media category, and a text label.

3. The method of claim 1, wherein the group of tags is generated in real time by a plurality of users.

4. The method of claim 3, wherein the group of tags is generated via a plurality of tagging platforms.

5. The method of claim 1, wherein identifying and classifying are performed based on additional user input.

6. The method of claim 1, wherein identifying the tag type further comprises:

sending to a user a list of suggested tag types for the at least one tag in the group of tags;

receiving from the user a selection of a suggested tag type from the list of suggested tag types; and

identifying the tag type as the suggested tag type.

7. The method of claim 1, wherein identifying the tag type is based on at least one of tag content, tag context, tag metadata, an associated position in the media content, and similarity of the at least one tag to other tags.

8. The method of claim 7, wherein identifying the tag type is further based on a tag type likelihood.

9. The method of claim 1, further comprising:

receiving a tag type criterion;

filtering the group of tags based on their respective tag types to yield a filtered group of tags; and

outputting the filtered group of tags.

10. The method of claim 1, further comprising:

preparing a summary of at least part of the live media event based on at least part of the group of tags and their respective tag types; and

displaying the summary to a user.

11. The method of claim 10, wherein displaying the summary to the user further comprises simultaneously playing back the at least part of the live media event and the at least part of the group of tags and their respective tag types.

12. The method of claim 1, further comprising:

adjusting how the at least one tag is associated with the live media event based on the tag type.

13. The method of claim 12, wherein adjusting how the at least one tag is associated with the live media event comprises at least one of moving a start point of the at least one tag, moving an end point of the at least one tag, changing a duration of the at least one tag, and updating at least part of metadata associated with the at least one tag.

14. The method of claim 1, further comprising classifying the at least one tag as more than one tag type.

15. The method of claim 1, wherein classifying the at least one tag as the tag type triggers an automated action based on the tag type.

16. A system for classifying a live media tag into a type, the system comprising:

a processor;

a first module configured to control the processor to receive, from a user, a tag associated with a live media event;

a second module configured to control the processor to transmit the tag to a tag server;

a third module configured to control the processor to receive from the tag server at least one suggested tag type for the tag;

a fourth module configured to control the processor to display the at least one suggested tag type to the user.

17. The system of claim 16, further comprising:

a fifth module configured to control the processor to receive, from the user, a selected tag type from the at least one suggested tag type; and

a sixth module configured to assign the selected tag type to the tag.

18. The system of claim 16,

19. A non-transitory computer-readable storage medium storing instructions which, when executed by a computing device, cause the computing device to classify a live media tag under a tag type, the instructions comprising:

receiving a group of tags generated in real time and associated with at least a portion of a live media event;

identifying a tag type for at least one tag in the group of tags; and

classifying the at least one tag as the tag type.

20. The non-transitory computer-readable storage medium of claim 19, the instructions further comprising:

preparing a summary of at least part of the live media event based on at least part of the group of tags and their respective tag types; and

displaying the summary to a user.