Method and Apparatus for Video Search and Delivery

• US 20110099195A1
• Filed: 10/22/2010
• Published: 04/28/2011
• Est. Priority Date: 10/22/2009
• Status: Abandoned Application

• Current Assignee: Zeicast Pte., Ltd.
• Original Assignee: Zeicast Pte., Ltd.
• Inventors: Ramakrishnan, Thyagarajapuram S., Patwardhan, Chintamani
• Application Number:
  US12/910,319
• Publication Number:
  US 20110099195A1
• Time in Patent Office: Days
• US Class Current: 707/769
• CPC Class Codes: G06F 16/738 Presentation of query results
• CPC Class Codes: G06F 16/7867 using information manually generated, e.g. tags, keywords, comments, title and artist information, manually generated time, location and usage information, user ratings

Abstract

The embodiments herein disclose a comprehensive system and process of archiving, indexing, searching, delivering, ‘personalization and sharing’ of sports video content over the Internet. The method comprises steps of providing search friendly sports video content, said method comprising steps of identifying logical events and segmenting said one or more videos into a plurality of video segments based on pre-defined criteria; generating quantitative and qualitative meta data for said video segments; storing said video segments along with said quantitative and qualitative meta data; receiving a query from a user with one or more keywords; analyzing said query from said user to extract meta data for searching relevant video segments; obtaining relevant video segments based on said generated meta data from said keywords of said query; presenting said relevant video segments as a result set.

Claims

1. A method of providing search friendly sports video content, said method comprising:

identifying logical events and segmenting said one or more videos into a plurality of video segments based on pre-defined criteria;

generating quantitative and qualitative meta data for said video segments;

storing said video segments along with said quantitative and qualitative meta data;

receiving a query from a user with one or more keywords;

analyzing said query from said user to extract meta data for searching relevant video segments;

obtaining relevant video segments based on said generated meta data from said keywords of said query; and

presenting said relevant video segments as a result set.

2. The method as in claim 1, wherein said method further comprises of sorting said relevant video segments based on at least said keywords, said meta data, and preferences of said user before presenting said relevant video segments.

3. The method as in claim 1, wherein the step of generating quantitative and qualitative meta data further comprises of:

analyzing said video segments to extract quantitative and qualitative meta data;

obtaining quantitative meta data related to game of said video from at least one external source for quantitative meta data;

associating quantitative meta data from said at least one external source for quantitative meta data with relevant video segments by matching said quantitative meta data obtained by said analysis and said meta data obtained from said at least one external source for quantitative meta data;

obtaining qualitative meta data related to game of said video from at least one external source for qualitative meta data; and

associating qualitative meta data from said at least one external source for qualitative meta data with relevant video segments by matching said qualitative meta data obtained by said analysis and said meta data obtained from said at least one external source for qualitative meta data.

4. The method as in claim 1, wherein said video content is related to the sport of cricket.

5. The method as in claim 4, wherein meta data information is information about at least one of outcome of a game, team involved in a game, winning team, match status, game type, tournament name, stroke type, delivery type, dismissal type, outcome type, player specialization, run tally, runs, run rate, striker statistics, non striker statistics, bowler statistics, balls, extras, batsman ranking, bowler ranking, types of runs scored by batsman, number of runs given by bowler, number of wides, number of no-balls, number of overs, number of maidens, number of wickets taken by bowler.

6. The method as in claim 1, wherein said analysis is performed by performing at least one of text parsing, OCR analysis, and audio analysis.

7. A method of generating quantitative and qualitative meta data for a sports video, said method comprising:

identifying logical events and segmenting said video into a plurality of video segments based on pre-defined criteria;

analyzing said video segments to extract quantitative and qualitative meta data;

obtaining quantitative meta data related to game of said video from at least one external source for quantitative meta data;

associating quantitative meta data from said at least one external source for quantitative meta data with relevant video segments by matching said quantitative meta data obtained by said analysis and said meta data obtained from said at least one external source for quantitative meta data;

obtaining qualitative meta data related to game of said video from at least one external source for qualitative meta data; and

associating qualitative meta data from said at least one external source for qualitative meta data with relevant video segments by matching said qualitative meta data obtained by said analysis and said meta data obtained from said at least one external source for qualitative meta data.

8. The method as in claim 7, wherein said method further comprises of storing said video segments, and associated quantitative meta and qualitative meta in at least one database.

9. The method as in claim 7, wherein said video is a live stream of an event.

10. The method as in claim 7, wherein said video is an archived video.

11. The method as in claim 7, wherein said method further comprises of validating quantitative and qualitative meta data associated with said video segments of said video manually.

12. The method as in claim 7, wherein said video is related to the sport of cricket.

13. The method as in claim 12, wherein meta data information is information about at least one of outcome of a game, team involved in a game, winning team, match status, game type, tournament name, stroke type, delivery type, dismissal type, outcome type, player specialization, run tally, runs, run rate, striker statistics, non striker statistics, bowler statistics, balls, extras, batsman ranking, bowler ranking, types of runs scored by batsman, number of runs given by bowler, number of wides, number of no-balls, number of overs, number of maidens, number of wickets taken by bowler.

14. The method as in claim 7, wherein said analysis is performed by performing at least one of text parsing, OCR analysis, and audio analysis.

15. A method of delivering sport video segment search results based on a query from a user, said method comprising:

receiving a query from a user with one or more keywords;

analyzing said query from said user to extract meta data for searching relevant video segments;

obtaining relevant video segments based on said generated meta data from said keywords of said query; and

presenting said relevant video segments as a result set.

16. The method as in claim 15, wherein said method further comprises of sorting said relevant video segments based on at least said keywords, said meta data, and preferences of said user before presenting said relevant video segments.

17. The method as in claim 15, wherein said method further comprises of merging said relevant video segments before presenting to said user.

18. The method as in claim 17, wherein said method further comprises of inserting relevant advertisement segments between relevant video segments.

19. The method as in claim 15, wherein said method further comprises of playing said relevant video segments in sequential order automatically.

20. The method as in claim 19, wherein said method further comprises of including relevant advertisement segments between relevant video segments.

21. The method as in claim 15, wherein said method further comprising user adding at least one of said relevant video segments to an existing reel for further use.

22. The method as in claim 15, wherein said method further comprising:

creating a new reel by said user; and

adding at least one of said relevant video segments to said new reel for further use by said user.

23. The method as in claim 15, wherein said method further comprising presenting said relevant video segments in a comparative mode wherein relevant segments are played in parallel.

24. The method as in claim 15, wherein said method further comprising the step of limiting the time duration of said video segments of said result set to a duration specified by said user by selecting most relevant video segments that fit into said time duration based on at least one of said meta data generated and preferences of said user.

25. The method as in claim 15, wherein said sport is cricket.

26. The method as in claim 25, wherein meta data information is information about at least one of outcome of a game, team involved in a game, winning team, match status, game type, tournament name, stroke type, delivery type, dismissal type, outcome type, player specialization, run tally, runs, run rate, striker statistics, non striker statistics, bowler statistics, balls, extras, batsman ranking, bowler ranking, types of runs scored by batsman, number of runs given by bowler, number of wides, number of no-balls, number of overs, number of maidens, number of wickets taken by bowler.

27. A method of delivering a personalized highlights segment of a game, said method comprising:

receiving a query from a user with one or more keywords related to a game;

analyzing said query from said user to extract meta data for searching relevant video segments related to said game;

obtaining relevant video segments based on said generated meta data from said keywords of said query; and

presenting said relevant video segments as a highlights package for said game.

28. The method as in claim 27, wherein said method further comprises of merging said relevant video segments before presenting to said user.

29. The method as in claim 28, wherein said method further comprises of inserting relevant advertisement segments between relevant video segments.

30. The method as in claim 27, wherein said method further comprises of playing said relevant video segments in sequential order automatically.

31. The method as in claim 30, wherein said method further comprises of including relevant advertisement segments between relevant video segments.

32. The method as in claim 27, wherein said method further comprising user adding at least one of said relevant video segments to an existing reel for further use.

33. The method as in claim 27, wherein said method further comprising:

creating a new reel by said user; and

adding at least one of said relevant video segments to said new reel for further use by said user.

34. The method as in claim 27, wherein said method further comprising the step of limiting the time duration of said video segments of said result set to a duration specified by said user by selecting most relevant video segments that fit into said time duration based on at least one of said meta data generated and preferences of said user.

35. The method as in claim 27, wherein said game is a game of cricket.

36. The method as in claim 35, wherein meta data information is information about at least one of outcome of a game, team involved in a game, winning team, match status, game type, tournament name, stroke type, delivery type, dismissal type, outcome type, player specialization, run tally, runs, run rate, striker statistics, non striker statistics, bowler statistics, balls, extras, batsman ranking, bowler ranking, types of runs scored by batsman, number of runs given by bowler, number of wides, number of no-balls, number of overs, number of maidens, number of wickets taken by bowler.

37. A system for providing search friendly sports video content, said system comprising at least one means for:

identifying logical events and segmenting said one or more videos into a plurality of video segments based on pre-defined criteria;

generating quantitative and qualitative meta data for said video segments;

storing said video segments along with said quantitative and qualitative meta data;

receiving a query from a user with one or more keywords;

analyzing said query from said user to extract meta data for searching relevant video segments;

obtaining relevant video segments based on said generated meta data from said keywords of said query; and

presenting said relevant video segments as a result set.

38. A system for generating quantitative and qualitative meta data for a sports video, said system comprising at least one means for:

identifying logical events and segmenting said video into a plurality of video segments based on pre-defined criteria;

analyzing said video segments to extract quantitative and qualitative meta data;

obtaining quantitative meta data related to game of said video from at least one external source for quantitative meta data;

associating quantitative meta data from said at least one external source for quantitative meta data with relevant video segments by matching said quantitative meta data obtained by said analysis and said meta data obtained from said at least one external source for quantitative meta data;

obtaining qualitative meta data related to game of said video from at least one external source for qualitative meta data; and

associating qualitative meta data from said at least one external source for qualitative meta data with relevant video segments by matching said qualitative meta data obtained by said analysis and said meta data obtained from said at least one external source for qualitative meta data.

39. A system for delivering sport video segment search results based on a query from a user, said system comprising at least one means for:

receiving a query from a user with one or more keywords;

analyzing said query from said user to extract meta data for searching relevant video segments;

obtaining relevant video segments based on said generated meta data from said keywords of said query; and

presenting said relevant video segments as a result set.

40. A system for delivering a personalized highlights segment of a game, said system comprising at least one means for:

receiving a query from a user with one or more keywords related to a game;

analyzing said query from said user to extract meta data for searching relevant video segments related to said game;

obtaining relevant video segments based on said generated meta data from said keywords of said query; and

presenting said relevant video segments as a highlights package for said game.