IP Library › Granted Patent US 9,224,390
Granted Patent B2
US 9,224,390 · App. 11/967,151 · Granted Dec 29, 2015

Coordinated deep tagging of media content with community chat postings

Inventors: Christopher S. Alkov (Austin, TX); Travis M. Grigsby (Austin, TX); Ruthie D. Lyle (Durham, NC); Lisa A. Seacat (San Francisco, CA)
Assignee: International Business Machines Corporation
G10L15/1822G06F17/30873
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Quick Facts
Patent No.
US 9,224,390
App. No.
11/967,151
Granted
Dec 29, 2015
Kind
B2
Abstract

Embodiments of the present invention address deficiencies of the art in respect to deep tagging of media content and provide a method, system and computer program product for coordinating deep tagging of media content with chat postings. In an embodiment of the invention, a method for coordinating deep tagging of media content with chat postings can be provided. The method can include monitoring a group chat of participants co-browsing media content, identifying a token in the group chat appearing a threshold number of times within a temporal window, and creating a deep tag in the media content in association with a portion of the media content played back concurrently with the temporal window.

Claims (48)

1. A method for coordinating deep tagging of media content with chat postings, the method comprising:

monitoring a group chat of participants co-browsing media content;

identifying a token in the group chat appearing a threshold number of times within a temporal window; and,

applying the token as a deep tag in the media content in association with a portion of the media content played back concurrently with the temporal window.

2. The method of claim 1 , further comprising:

tracking a number of participants contributing token;

linking the number with the deep tag; and,

rendering a tag cloud for the deep tag in association with the portion of the media content according to the linked number.

3. The method of claim 1 , further comprising filtering a set of tokens from the group chat relating to articles of speech.

4. The method of claim 1 , further comprising

filtering a set of tokens from the group chat relating to undesirable speech selected from the group consisting of foul language, sexually explicit language and offensive language.

5. The method of claim 1 , further comprising

creating a broad tag in connection with the token when the token has been contributed a threshold number of times indicating widespread usage.

6. The method of claim 1 , further comprising

displaying to each of the participants a listing of deep tags applied to a portion of the media content being played back to provide cues for word usage in the group chat.

7. The method of claim 1 , further comprising

speech recognizing audibly detectable user reactions to the media content to produce the token mapped to the audibly detectable user reactions.

8. The method of claim 1 , wherein

the identifying the token comprises identifying similar tokens in the group chat.

9. A co-browsing data processing system comprising:

a media content server configured to stream media content to different clients over a computer communications network;

a chat server configured to host a group chat amongst the clients; and

social deep tagging logic comprising program code configured to monitor the group chat,

identify a token in the group chat appearing a threshold number of times within a temporal window, and

apply the token as a deep tag in the media content in association with a portion of the media content played back concurrently with the temporal window.

10. The system of claim 9 , wherein

the media content is audio.

11. The system of claim 9 , wherein

the media content is video.

12. A computer program product comprising a computer usable storage medium having stored therein computer usable program code for coordinating deep tagging of media content with chat postings, wherein the medium is not a signal, the computer usable program code, which when executed by a computer hardware device, causes the computer hardware device to perform

monitoring a group chat of participants co-browsing media content;

identifying a token in the group chat appearing a threshold number of times within a temporal window; and

applying the token as a deep tag in the media content in association with a portion of the media content played back concurrently with the temporal window.

13. The computer program product of claim 12 , further comprising:

tracking a number of participants contributing token;

linking the number with the deep tag; and,

rendering a tag cloud for the deep tag in association with the portion of the media content according to the linked number.

14. The computer program product of claim 12 , wherein the computer usable program code further causes the computer hardware device to perform

filtering a set of tokens from the group chat relating to articles of speech.

15. The computer program product of claim 12 , wherein the computer usable program code further causes the computer hardware device to perform

filtering a set of tokens from the group chat relating to undesirable speech selected from the group consisting of foul language, sexually explicit language and offensive language.

16. The computer program product of claim 12 , further comprising

creating a broad tag in connection with the token when the token has been contributed a threshold number of times indicating widespread usage.

17. The computer program product of claim 12 , wherein the computer usable program code further causes the computer hardware device to perform

displaying to each of the participants a listing of deep tags applied to a portion of the media content being played back to provide cues for word usage in the group chat.

18. The computer program product of claim 12 , wherein the computer usable program code further causes the computer hardware device to perform

speech recognizing audibly detectable user reactions to the media content to produce the token mapped to the audibly detectable user reactions.

19. The computer program product of claim 12 , wherein the identifying the token comprises identifying similar tokens in the group chat.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 30, 2007
From: ALKOV, CHRISTOPHER S.; GRIGSBY, TRAVIS M.; LYLE, RUTHIE D.; SEACAT, LISA A.
To: INTERNATIONAL BUSINESS MACHINES CORPORATION
Reel/Frame 020303/0888 →
Continuity (1)
Related Publication 20090172150A1 · Jul 2, 2009