Customized generation of highlight show with narrative component

• US 10,536,758 B2
• Filed: 10/07/2015
• Issued: 01/14/2020
• Est. Priority Date: 10/09/2014
• Status: Active Grant

• Current Assignee: STATS LLC (Stats Holdings LLC)
• Original Assignee: Thuuz, Inc.
• Inventors: Packard, Warren Joseph, Kanygin, Dennis, Toor, Jordan, Lythcott-Haims, Dan, Levin, Alan
• Primary Examiner(s): Duffield, Jeremy S
• Application Number:
  US14/877,691
• Publication Number:
  US 20160105708A1
• Time in Patent Office: 1,560 Days
• Field of Search: 725 86, 725 91- 83, 725109, 725114-116
• CPC Class Codes: G11B 27/031 Electronic editing of digitised analogue information signals, e.g. audio or video signals
• CPC Class Codes: G11B 27/034 on discs G11B27/036, G11B27/038 take precedence
• CPC Class Codes: G11B 27/10 Indexing; Addressing; Timing or synchronising; Measuring tape travel
• CPC Class Codes: H04N 21/231 Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers, prioritizing data for deletion
• CPC Class Codes: H04N 21/23109 by placing content in organized collections, e.g. EPG data repository details of retrieval of video data and associated meta data in video databases G06F16/739
• CPC Class Codes: H04N 21/23418 involving operations for analysing video streams, e.g. detecting features or characteristics television picture signal circuitry for scene change detection H04N5/147; filtering for image enhancement G06T5/00; methods or arrangements for recognising scenes G06V20/00; arrangements characterised by components specially adapted for monitoring, identification or recognition of video in broadcast systems H04H60/59
• CPC Class Codes: H04N 21/23424 involving splicing one content stream with another content stream, e.g. for inserting or substituting an advertisement
• CPC Class Codes: H04N 21/23439 for generating different versions
• CPC Class Codes: H04N 21/251 Learning process for intelligent management, e.g. learning user preferences for recommending movies details of learning user preferences for the retrieval of video data in a video database G06F16/739; computer systems using learning methods G06N3/08
• CPC Class Codes: H04N 21/25841 involving the geographical location of the client retrieval from the Internet by querying based on geographical locations G06F16/9537; arrangements for identifying locations of receiving stations in broadcast systems H04H60/51; location of the user terminal in data switching networks H04L67/52; services making use of the location of users or terminals in wireless networks H04W4/02; locating users or terminals in wireless networks H04W64/00
• CPC Class Codes: H04N 21/25883 being end-user demographical data, e.g. age, family status or address arrangements for identifying locations of users in broadcast systems H04H60/52
• CPC Class Codes: H04N 21/25891 being end-user preferences retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/2668 Creating a channel for a dedicated end-user group, e.g. insertion of targeted commercials based on end-user profiles information retrieval from the Internet by querying with filtering and personalisation G06F16/9535; arrangements for replacing or switching information during the broadcast H04H20/10; push services over packet-switching network H04L12/1859; adaptation of message content in packet-switching networks H04L51/063
• CPC Class Codes: H04N 21/278 Content descriptor database or directory service for end-user access details of content or meta data based information retrieval of video data in video databases G06F16/739
• CPC Class Codes: H04N 21/4312 involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations
• CPC Class Codes: H04N 21/44218 Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program methods or arrangements for recognising human body or animal bodies or body parts G06V40/10; methods or arrangements for acquiring or recognising human faces, facial parts, facial sketches, facial expressions G06V40/16; methods or arrangements for recognising movements or behaviour G06V40/20; arrangements for identifying users in broadcast systems H04H60/45
• CPC Class Codes: H04N 21/4667 Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
• CPC Class Codes: H04N 21/6582 Data stored in the client, e.g. viewing habits, hardware capabilities, credit card number arrangements where receivers interact with the broadcast H04H20/38
• CPC Class Codes: H04N 21/84 Generation or processing of descriptive data, e.g. content descriptors systems specially adapted for using meta-information in broadcast systems H04H60/73
• CPC Class Codes: H04N 21/8456 by decomposing the content in the time domain, e.g. in time segments
• CPC Class Codes: H04N 21/8549 : Creating video summaries, e.g. movie trailer retrieval in video databases by using presentations in form of a video summary G06F16/739

Abstract

Customized highlight shows for sporting events, entertainment events, and/or the like, having a narrative component, are generated and presented. The events can be sporting events, entertainment events, and/or the like. For example, in the context of sporting events, a determination is made as to what types of sports, teams, leagues, players, plays, and/or the like are of interest to the user. A customized highlight show is then generated and presented, containing those specific portions of the sporting events that are likely to be of interest, arranged in a manner that is likely to be entertaining and interesting to the user and that presents a cohesive narrative.

Claims

1. A computer-implemented method for generating a customized highlight show having a narrative, for presentation to a user, comprising:

at a web server, receiving a request for the customized highlight show from a client device and passing the request to an application server;

at a hardware processor of the application server, receiving an electronic signal comprising source content representing at least a portion of at least one sporting event;

at the hardware processor of the application server, determining, based on available metadata, which sport of a plurality of sports is depicted in the source content, wherein each sport in the plurality has a stored play definition, the play definition including criteria for determining play start time and play end time for that sport;

at the hardware processor of the application server, identifying at least one narrative relating to at least a portion of the source content, wherein the at least one narrative provides a coherent story that links a set of segments relating to at least one of a participant, team, story, and play associated with the at least one sporting event;

at the hardware processor of the application server, identifying the play definition for the sport depicted in the source content;

at at least one of the hardware processor of the application server and a hardware processor of an analytical server, based on the identified play definition for the sport depicted in the source content and based on the available metadata, performing an analysis to identify individual plays within the at least one sporting event;

at the hardware processor of at least one of the application server and the analytical server, performing video analysis on a video component of the source content to establish at least one of a suitable start and end time for each identified individual play;

at the hardware processor of at least one of the application server and the analytical server, automatically prioritizing the identified plays based at least in part on the degree to which they support the identified at least one narrative;

at the hardware processor of at least one of the application server and the analytical server, automatically generating a plurality of segments from the representation of the at least one sporting event, each segment having a start time and an end time, and each segment corresponding to at least one of the identified individual plays within the at least one sporting event, wherein, for each generated segment, at least one of the start and end times is selected based on at least one of the established suitable start and end times;

at the hardware processor of at least one of the application server and the analytical server, automatically adjusting at least one of the start and end times of at least one of the segments corresponding to at least one of the selected plays;

at the hardware processor of the application server, automatically generating a customized highlight show for the at least one sporting event, based on the identified and prioritized plays, wherein the customized highlight show comprises at least a subset of the generated segments using at least one of the adjusted start and end times;

transmitting the customized highlight show from the application server to the client device; and

at an output device of the client device, outputting the customized highlight show.

2. The computer-implemented method of claim 1, wherein automatically prioritizing the identified plays comprises:

obtaining auxiliary data describing the identified plays; and

augmenting the source content with the obtained auxiliary data;

and wherein automatically generating a plurality of segments from the representation of the at least one sporting event comprises;

generating highlight segments based on the augmented source content;

selecting highlight segments based on the degree to which they relate to the identified at least one narrative;

tagging the selected highlight segments; and

generating at least one output file comprising a representation of the tagged highlight segments;

and wherein automatically generating the customized highlight show for the at least one sporting event comprises automatically generating the customized highlight show based on the at least one output file.

3. The computer-implemented method of claim 2, wherein obtaining auxiliary data describing the identified plays comprises at least one selected from the group consisting of:

loading play-by-play data;

loading player data;

loading data extracted from a video feed; and

loading data extracted from an audio feed.

4. The computer-implemented method of claim 2, wherein obtaining auxiliary data describing the identified plays comprises:

loading the auxiliary data;

automatically determining whether there are any errors in the loaded data;

responsive to a determination of at least one error, automatically correcting the at least one error;

automatically determining whether there are any inconsistencies in the loaded data; and

responsive to a determination of at least one inconsistency, automatically reconciling the at least one inconsistency.

5. The computer-implemented method of claim 2, wherein augmenting the source content with the obtained auxiliary data comprises:

identifying a plurality of plays represented in the obtained auxiliary data;

for each of the identified plays, automatically matching the identified play to a play within the source content; and

associating a portion of the auxiliary data describing the play with the play within the source content.

6. The computer-implemented method of claim 2, wherein automatically prioritizing the identified plays further comprises:

automatically determining whether there are any discrepancies between the source content and the obtained auxiliary data; and

responsive to a determination that there is at least one discrepancy between the source content and the obtained auxiliary data, automatically reconciling the at least one discrepancy.

7. The computer-implemented method of claim 2, wherein generating highlight segments based on the augmented source content comprises performing at least one selected from the group consisting of:

automatically verifying plays within the augmented source content and storing data describing the identified plays;

automatically identifying possessions within the augmented source content and storing data describing the identified possessions;

automatically identifying sequences within the augmented source content and storing data describing the identified sequences; and

automatically identifying strings within the augmented source content and storing data describing the identified strings.

8. The computer-implemented method of claim 2, wherein selecting highlight segments based on the degree to which they relate to the identified at least one narrative comprises:

automatically determining a narrative bonus for each identified play;

automatically determining segment priorities for the identified plays, based at least in part on the narrative bonuses; and

automatically selecting highlight segments, based on the determined segment priorities.

9. The computer-implemented method of claim 8, wherein selecting highlight segments based on the degree to which they relate to the identified at least one narrative further comprises:

automatically determining a novelty for each of at least a subset of the identified plays;

and wherein selecting highlight segments comprises automatically selecting highlight segments based at least in part on the determined novelty.

10. The computer-implemented method of claim 2, wherein tagging the selected highlight segments comprises:

automatically creating timed tags representing selections of highlight segments for the highlight show; and

automatically adding segment tags to the selected highlight segments.

11. The computer-implemented method of claim 2, wherein generating at least one output file comprises:

automatically creating individual segment profiles;

automatically sorting the segment profiles;

automatically generating a default file containing the sorted segment profiles; and

at a storage device, automatically storing the generated default file.

12. The computer-implemented method of claim 11, wherein generating at least one output file further comprises:

automatically generating at least one customer-specific file format from the default file; and

at the storage device, automatically storing the customer-specific file using the customer-specific file format.

13. The computer-implemented method of claim 1, further comprising:

at the hardware processor of at least one of the application server and the analytical server, automatically determining at least one characteristic of the user;

wherein automatically prioritizing the identified plays comprises automatically prioritizing the identified plays based at least in part on the determined at least one characteristic of the user.

14. The computer-implemented method of claim 13, wherein automatically determining at least one characteristic of the user comprises automatically determining the user'"'"'s affinity for at least one of a team, sport, player, and league.

15. The computer-implemented method of claim 13, wherein automatically determining at least one characteristic of the user comprises automatically determining at least one selected from the group consisting of:

a geographic characteristic;

a demographic characteristic; and

a social network profile.

16. The computer-implemented method of claim 13, wherein automatically prioritizing the identified plays comprises automatically determining priorities based at least in part on excitement level that takes into account at least one determined characteristic of the user.

17. The computer-implemented method of claim 1, wherein automatically prioritizing the identified plays comprises automatically determining priorities based at least in part on a determined excitement level.

18. The computer-implemented method of claim 1, wherein outputting the customized highlight show comprises displaying video of the customized highlight show on a display device of the client device.

19. The computer-implemented method of claim 1, wherein outputting the customized highlight show comprises outputting audio of the customized highlight show on the client device.

20. The computer-implemented method of claim 1, wherein receiving an electronic signal comprising source content representing at least portion of a plurality of events comprises receiving an electronic signal representing at least one selected from the group consisting of:

a live broadcast;

a recorded broadcast;

a video archive;

content from a website;

content from a video-sharing site;

content stored on a server;

content stored on a mobile computing device;

content stored on a camera;

on-demand content;

content stored locally;

content captured by a device associated with the user; and

pre-curated content.

45. The method of claim 1, wherein each sport in the plurality has a stored string definition including criteria for determining whether a series of plays are related to one another and for determining string start time and string end time for that sport, the method further comprising:

at the hardware processor of the application server, identifying the string definition for the sport depicted in the source content; and

at the hardware processor of the application server, based on the identified string definition for the sport depicted in the source content and based on the available metadata, performing an analysis to identify individual strings within the at least one sporting event and to determine start and end times for the individual strings, wherein each string comprises a series of plays that are related to one another;

wherein automatically prioritizing the identified plays comprises automatically prioritizing the identified plays based at least in part on the degree to which they are included in strings that support the identified at least one narrative.

46. The method of claim 1, wherein each sport in the plurality has a stored possession definition including criteria for determining whether one or more plays are part of the same possession and for determining possession start time and possession end time for that sport, the method further comprising:

at the hardware processor of the application server, identifying the possession definition for the sport depicted in the source content; and

at the hardware processor of the application server, based on the identified possession definition for the sport depicted in the source content and based on the available metadata, performing an analysis to identify individual possessions within the at least one sporting event and to determine start and end times for the individual possessions, wherein each possession comprises at least one play;

wherein automatically prioritizing the identified plays comprises automatically prioritizing the identified plays based at least in part on the degree to which they are included in possessions that support the identified at least one narrative.

47. The method of claim 1, wherein each sport in the plurality has a stored sequence definition including criteria for determining whether one or more plays are part of the same sequence and for determining sequence start time and sequence end time for that sport, the method further comprising:

at the hardware processor of the application server, identifying the sequence definition for the sport depicted in the source content; and

at the hardware processor of the application server, based on the identified sequence definition for the sport depicted in the source content and based on the available metadata, performing an analysis to identify individual sequences within the at least one sporting event and to determine start and end times for the individual sequences, wherein each sequence comprises at least one play;

wherein automatically prioritizing the identified plays comprises automatically prioritizing the identified plays based at least in part on the degree to which they are included in sequences that support the identified at least one narrative.

54. The computer-implemented method of claim 1, further comprising:

at the hardware processor of the application server, determining an available time for the customized highlight show;

and wherein automatically generating a customized highlight show comprises automatically selecting plays so that the customized highlight show is of a length that comports with the determined available time;

and wherein automatically adjusting at least one of the start and end times of at least one of the segments comprises automatically adjusting at least one of the start and end times of at least one of the segments so that the total length of the segments corresponding to the selected plays comports with the determined available time.

21. At least one non-transitory computer-readable medium for generating a customized highlight show having a narrative, for presentation to a user, comprising instructions stored thereon, that when executed by at least one processor, perform the steps of:

at a web server, receiving a request for the customized highlight show from a client device and passing the request to an application server;

at the application server, receiving an electronic signal comprising source content representing at least a portion of at least one sporting event;

at the application server, determining, based on available metadata, which sport of a plurality of sports is depicted in the source content, wherein each sport in the plurality has a stored play definition, the play definition including criteria for determining play start time and play end time for that sport;

at the application server, identifying at least one narrative relating to at least a portion of the source content, wherein the at least one narrative provides a coherent story that links a set of segments relating to at least one of a participant, team, story, and play associated with the at least one sporting event;

at the application server, identifying the play definition for the sport depicted in the source content;

at at least one of the application server and an analytical server, based on the identified play definition for the sport depicted in the source content and based on the available metadata, performing an analysis to identify individual plays within the at least one sporting event;

at at least one of the application server and an analytical server, performing video analysis on a video component of the source content to establish at least one of a suitable start and end time for each identified individual play;

at at least one of the application server and the analytical server, automatically prioritizing the identified plays based at least in part on the degree to which they support the identified at least one narrative;

at at least one of the application server and an analytical server, automatically generating a plurality of segments from the representation of the at least one sporting event, each segment having a start time and an end time, and each segment corresponding to at least one of the identified individual plays within the at least one sporting event, wherein, for each generated segment, at least one of the start and end times is selected based on at least one of the established suitable start and end times;

at at least one of the application server and an analytical server, automatically adjusting at least one of the start and end times of at least one of the segments corresponding to at least one of the selected plays;

at the application server, automatically generating the customized highlight show for the at least one sporting event, based on the identified and prioritized plays, wherein the customized highlight show comprises at least a subset of the generated segments using at least one of the adjusted start and end times;

transmitting the customized highlight show from the application server to the client device; and

causing an output device of the client device to output the customized highlight show.

22. The at least one non-transitory computer-readable medium of claim 21, wherein automatically prioritizing the identified plays comprises:

obtaining auxiliary data describing the identified plays; and

augmenting the source content with the obtained auxiliary data;

and wherein automatically generating a plurality of segments from the representation of the at least one sporting event comprises;

generating highlight segments based on the augmented source content;

selecting highlight segments based on the degree to which they relate to the identified at least one narrative;

tagging the selected highlight segments; and

generating at least one output file comprising a representation of the tagged highlight segments;

and wherein automatically generating the customized highlight show for the at least one sporting event comprises automatically generating a customized highlight show based on the at least one output file.

23. The at least one non-transitory computer-readable medium of claim 22, wherein obtaining auxiliary data describing the identified plays comprises at least one selected from the group consisting of:

loading play-by-play data;

loading player data;

loading data extracted from a video feed; and

loading data extracted from an audio feed.

24. The at least one non-transitory computer-readable medium of claim 22, wherein obtaining auxiliary data describing the identified plays comprises:

loading the auxiliary data;

automatically determining whether there are any errors in the loaded data;

responsive to a determination of at least one error, automatically correcting the at least one error;

automatically determining whether there are any inconsistencies in the loaded data; and

responsive to a determination of at least one inconsistency, automatically reconciling the at least one inconsistency.

25. The at least one non-transitory computer-readable medium of claim 22, wherein generating highlight segments based on the augmented source content comprises performing at least one selected from the group consisting of:

automatically verifying plays within the augmented source content and storing data describing the identified plays;

automatically identifying possessions within the augmented source content and storing data describing the identified possessions;

automatically identifying sequences within the augmented source content and storing data describing the identified sequences; and

automatically identifying strings within the augmented source content and storing data describing the identified strings.

26. The at least one non-transitory computer-readable medium of claim 22, wherein selecting highlight segments based on the degree to which they relate to the identified at least one narrative comprises:

automatically determining a narrative bonus for each identified play;

automatically determining segment priorities for the identified plays, based at least in part on the narrative bonuses; and

automatically selecting highlight segments, based on the determined segment priorities.

27. The at least one non-transitory computer-readable medium of claim 26, wherein selecting highlight segments based on the degree to which they relate to the identified at least one narrative further comprises:

automatically determining a novelty for each of at least a subset of the identified plays;

and wherein selecting highlight segments comprises automatically selecting highlight segments based at least in part on the determined novelty.

28. The at least one non-transitory computer-readable medium of claim 21, further comprising instructions that, when executed by the at least one processor, perform the step of:

at at least one of the application server and the analytical server, automatically determining at least one characteristic of the user;

wherein automatically prioritizing the identified plays comprises automatically prioritizing the identified plays based at least in part on the determined at least one characteristic of the user.

29. The at least one non-transitory computer-readable medium of claim 28, wherein automatically determining at least one characteristic of the user comprises automatically determining the user'"'"'s affinity for at least one of a team, sport, player, and league.

30. The at least one non-transitory computer-readable medium of claim 21, wherein automatically prioritizing the identified plays comprises automatically determining priorities based at least in part on a determined excitement level.

31. The at least one non-transitory computer-readable medium of claim 21, wherein receiving an electronic signal comprising source content representing at least portion of a plurality of events comprises receiving an electronic signal representing at least one selected from the group consisting of:

a live broadcast;

a recorded broadcast;

a video archive;

content from a website;

content from a video-sharing site;

content stored on a server;

content stored on a mobile computing device;

content stored on a camera;

on-demand content;

content stored locally;

content captured by a device associated with the user; and

pre-curated content.

48. The non-transitory computer-readable medium of claim 21, wherein each sport in the plurality has a stored string definition including criteria for determining whether a series of plays are related to one another and for determining string start time and string end time for that sport, the non-transitory computer-readable medium further comprising instructions that, when executed by the at least one processor, perform the steps of:

identifying the string definition for the sport depicted in the source content; and

based on the identified string definition for the sport depicted in the source content and based on the available metadata, performing an analysis to identify individual strings within the at least one sporting event and to determine start and end times for the individual strings, wherein each string comprises a series of plays that are related to one another;

wherein automatically prioritizing the identified plays comprises automatically prioritizing the identified plays based at least in part on the degree to which they are included in strings that support the identified at least one narrative.

49. The non-transitory computer-readable medium of claim 21, wherein each sport in the plurality has a stored possession definition including criteria for determining whether one or more plays are part of the same possession and for determining possession start time and possession end time for that sport, the non-transitory computer-readable medium further comprising instructions that, when executed by the at least one processor, perform the steps of:

identifying the possession definition for the sport depicted in the source content; and

based on the identified possession definition for the sport depicted in the source content and based on the available metadata, performing an analysis to identify individual possessions within the at least one sporting event and to determine start and end times for the individual possessions, wherein each possession comprises at least one play;

wherein automatically prioritizing the identified plays comprises automatically prioritizing the identified plays based at least in part on the degree to which they are included in possessions that support the identified at least one narrative.

50. The non-transitory computer-readable medium of claim 21, wherein each sport in the plurality has a stored sequence definition including criteria for determining whether one or more plays are part of the same sequence and for determining sequence start time and sequence end time for that sport, the non-transitory computer-readable medium further comprising instructions that, when executed by the at least one processor, perform the steps of:

identifying the sequence definition for the sport depicted in the source content; and

based on the identified sequence definition for the sport depicted in the source content and based on the available metadata, performing an analysis to identify individual sequences within the at least one sporting event and to determine start and end times for the individual sequences, wherein each sequence comprises at least one play;

wherein automatically prioritizing the identified plays comprises automatically prioritizing the identified plays based at least in part on the degree to which they are included in sequences that support the identified at least one narrative.

55. The at least one non-transitory computer-readable medium of claim 21, further comprising instructions that, when executed by the at least one processor, perform the step of:

determining an available time for the customized highlight show;

and wherein automatically generating a customized highlight show comprises automatically selecting plays so that the customized highlight show is of a length that comports with the determined available time;

and wherein automatically adjusting at least one of the start and end times of at least one of the segments comprises automatically adjusting at least one of the start and end times of at least one of the segments so that the total length of the segments corresponding to the selected plays comports with the determined available time.

32. A system for generating a customized highlight show having a narrative, for presentation to a user, comprising:

a web server, configured to receive a request for the customized highlight show from a client device and to pass the request to an application server;

the application server, communicatively coupled to the web server, comprising a hardware processor configured to perform the steps of;

receiving an electronic signal comprising source content representing at least a portion of at least one sporting event;

determining, based on available metadata, which sport of a plurality of sports is depicted in the source content, wherein each sport in the plurality has a stored play definition, the play definition including criteria for determining play start time and play end time for that sport;

identifying at least one narrative relating to at least a portion of the source content, wherein the at least one narrative provides a coherent story that links a set of segments relating to at least one of a participant, team, story, and play associated with the at least one sporting event; and

identifying the play definition for the sport depicted in the source content; and

an analytical server, communicatively coupled to the application server, comprising a hardware processor configured to perform the steps of;

based on the identified play definition for the sport depicted in the source content and based on the available metadata, performing an analysis to identify individual plays within the at least one sporting event;

performing video analysis on a video component of the source content to establish at least one of a suitable start and end time for each identified individual play; and

automatically prioritizing the identified plays based at least in part on the degree to which they support the identified at least one narrative;

wherein the hardware processor of the application server is further configured to perform the steps of;

automatically generating a plurality of segments from the representation of the at least one sporting event, each segment having a start time and an end time, and each segment corresponding to at least one of the identified individual plays within the at least one sporting event, wherein, for each generated segment, at least one of the start and end times is selected based on at least one of the established suitable start and end times;

automatically adjusting at least one of the start and end times of at least one of the segments corresponding to at least one of the selected plays;

automatically generating the customized highlight show for the at least one sporting event, based on the identified and prioritized plays, wherein the customized highlight show comprises at least a subset of the generated segments using at least one of the adjusted start and end times; and

transmitting the customized highlight show from the application server to the client device for output thereon.

33. The system of claim 32, wherein automatically prioritizing the identified plays comprises:

obtaining auxiliary data describing the identified plays; and

augmenting the source content with the obtained auxiliary data;

and wherein automatically generating a plurality of segments from the representation of the at least one sporting event comprises;

generating highlight segments based on the augmented source content;

selecting highlight segments based on the degree to which they relate to the identified at least one narrative;

tagging the selected highlight segments; and

generating at least one output file comprising a representation of the tagged highlight segments;

and wherein automatically generating the customized highlight show for the at least one sporting event comprises automatically generating the customized highlight show based on the at least one output file.

34. The system of claim 33, wherein obtaining auxiliary data describing the identified plays comprises at least one selected from the group consisting of:

loading play-by-play data;

loading player data;

loading data extracted from a video feed;

loading data extracted from an audio feed.

35. The system of claim 33, wherein obtaining auxiliary data describing the identified plays comprises:

loading the auxiliary data;

automatically determining whether there are any errors in the loaded data;

responsive to a determination of at least one error, automatically correcting the at least one error;

automatically determining whether there are any inconsistencies in the loaded data; and

responsive to a determination of at least one inconsistency, automatically reconciling the at least one inconsistency.

36. The system of claim 33, wherein generating highlight segments based on the augmented source content comprises performing at least one selected from the group consisting of:

automatically verifying plays within the augmented source content and storing data describing the identified plays;

automatically identifying possessions within the augmented source content and storing data describing the identified possessions;

automatically identifying sequences within the augmented source content and storing data describing the identified sequences; and

automatically identifying strings within the augmented source content and storing data describing the identified strings.

37. The system of claim 33, wherein selecting highlight segments based on the degree to which they relate to the identified at least one narrative comprises:

automatically determining a narrative bonus for each identified play;

automatically determining segment priorities for the identified plays, based at least in part on the narrative bonuses; and

automatically selecting highlight segments, based on the determined segment priorities.

38. The system of claim 37, wherein selecting highlight segments based on the degree to which they relate to the identified at least one narrative further comprises:

automatically determining a novelty for each of at least a subset of the identified plays;

and wherein selecting highlight segments comprises automatically selecting highlight segments based at least in part on the determined novelty.

39. The system of claim 32, wherein the hardware processor of the analytical server is further configured to automatically determine at least one characteristic of the user;

and wherein automatically prioritizing the identified plays comprises automatically prioritizing the identified plays based at least in part on the determined at least one characteristic of the user.

40. The system of claim 39, wherein automatically determining at least one characteristic of the user comprises automatically determining the user'"'"'s affinity for at least one of a team, sport, player, and league.

41. The system of claim 32, wherein automatically prioritizing the identified plays comprises automatically determining priorities based at least in part on a determined excitement level.

42. The system of claim 32, wherein transmitting the customized highlight show from the application server to the client device comprises transmitting the customized highlight show from the application server to the client device for display on a display device configured to display video of the customized highlight show.

43. The system of claim 32, wherein transmitting the customized highlight show from the application server to the client device comprises transmitting the customized highlight show from the application server to the client device for output on an audio device configured to output audio of the customized highlight show.

44. The system of claim 32, wherein receiving an electronic signal comprising source content representing at least portion of a plurality of events comprises receiving an electronic signal representing at least one selected from the group consisting of:

a live broadcast;

a recorded broadcast;

a video archive;

content from a website;

content from a video-sharing site;

content stored on a server;

content stored on a mobile computing device;

content stored on a camera;

on-demand content;

content stored locally;

content captured by a device associated with the user; and

pre-curated content.

51. The system of claim 32, wherein each sport in the plurality has a stored string definition including criteria for determining whether a series of plays are related to one another and for determining string start time and string end time for that sport, and wherein the hardware processor is further configured to perform the steps of:

identifying the string definition for the sport depicted in the source content; and

based on the identified string definition for the sport depicted in the source content and based on the available metadata, performing an analysis to identify individual strings within the at least one sporting event and to determine start and end times for the individual strings, wherein each string comprises a series of plays that are related to one another;

and wherein automatically prioritizing the identified plays comprises automatically prioritizing the identified plays based at least in part on the degree to which they are included in strings that support the identified at least one narrative.

52. The system of claim 32, wherein each sport in the plurality has a stored possession definition including criteria for determining whether one or more plays are part of the same possession and for determining possession start time and possession end time for that sport, and wherein the hardware processor is further configured to perform the steps of:

identifying the possession definition for the sport depicted in the source content; and

based on the identified possession definition for the sport depicted in the source content and based on the available metadata, performing an analysis to identify individual possessions within the at least one sporting event and to determine start and end times for the individual possessions, wherein each possession comprises at least one play;

and wherein automatically prioritizing the identified plays comprises automatically prioritizing the identified plays based at least in part on the degree to which they are included in possessions that support the identified at least one narrative.

53. The system of claim 32, wherein each sport in the plurality has a stored sequence definition including criteria for determining whether one or more plays are part of the same sequence and for determining sequence start time and sequence end time for that sport, and wherein the hardware processor is further configured to perform the steps of:

identifying the sequence definition for the sport depicted in the source content; and

based on the identified sequence definition for the sport depicted in the source content and based on the available metadata, performing an analysis to identify individual sequences within the at least one sporting event and to determine start and end times for the individual sequences, wherein each sequence comprises at least one play;

and wherein automatically prioritizing the identified plays comprises automatically prioritizing the identified plays based at least in part on the degree to which they are included in sequences that support the identified at least one narrative.

56. The system of claim 32, wherein the web server is further configured to determine an available time for the customized highlight show;

and wherein automatically generating a customized highlight show comprises automatically selecting plays so that the customized highlight show is of a length that comports with the determined available time;

and wherein automatically adjusting at least one of the start and end times of at least one of the segments comprises automatically adjusting at least one of the start and end times of at least one of the segments so that the total length of the segments corresponding to the selected plays comports with the determined available time.

57. A computer-implemented method for generating a customized highlight show having a narrative, for presentation to a user, comprising:

at a web server, receiving a request for the customized highlight show from a client device and passing the request to an application server;

at a hardware processor of the application server, receiving an electronic signal comprising source content representing at least a portion of at least one sporting event;

at the hardware processor of the application server, determining, based on available metadata, which sport of a plurality of sports is depicted in the source content, wherein each sport in the plurality has a stored play definition, the play definition including criteria for determining play start time and play end time for that sport;

at the hardware processor of the application server, identifying at least one narrative relating to at least a portion of the source content, wherein the at least one narrative provides a coherent story that links a set of segments relating to at least one of a participant, team, story, and play associated with the at least one sporting event;

at the hardware processor of the application server, identifying the play definition for the sport depicted in the source content;

at at least one of the hardware processor of the application server and a hardware processor of an analytical server, based on the identified play definition for the sport depicted in the source content and based on the available metadata, performing an analysis to identify individual plays within the at least one sporting event;

at the hardware processor of at least one of the application server and the analytical server, performing video analysis on a video component of the source content to establish at least one of a suitable start and end time for each identified individual play, wherein the video analysis comprises analysis of a video component representing a game clock;

at the hardware processor of at least one of the application server and the analytical server, automatically prioritizing the identified plays based at least in part on the degree to which they support the identified at least one narrative;

at the hardware processor of at least one of the application server and the analytical server, automatically generating a plurality of segments from the representation of the at least one sporting event, each segment having a start time and an end time, and each segment corresponding to at least one of the identified individual plays within the at least one sporting event, wherein, for each generated segment, at least one of the start and end times is selected based on at least one of the established suitable start and end times;

at the hardware processor of the application server, automatically generating a customized highlight show for the at least one sporting event, based on the identified and prioritized plays, wherein the customized highlight show comprises at least a subset of the generated segments;

transmitting the customized highlight show from the application server to the client device; and

at an output device of the client device, outputting the customized highlight show.

58. At least one non-transitory computer-readable medium for generating a customized highlight show having a narrative, for presentation to a user, comprising instructions stored thereon, that when executed by at least one processor, perform the steps of:

at a web server, receiving a request for the customized highlight show from a client device and passing the request to an application server;

at the application server, receiving an electronic signal comprising source content representing at least a portion of at least one sporting event;

at the application server, determining, based on available metadata, which sport of a plurality of sports is depicted in the source content, wherein each sport in the plurality has a stored play definition, the play definition including criteria for determining play start time and play end time for that sport;

at the application server, identifying at least one narrative relating to at least a portion of the source content, wherein the at least one narrative provides a coherent story that links a set of segments relating to at least one of a participant, team, story, and play associated with the at least one sporting event;

at the application server, identifying the play definition for the sport depicted in the source content;

at at least one of the application server and an analytical server, based on the identified play definition for the sport depicted in the source content and based on the available metadata, performing an analysis to identify individual plays within the at least one sporting event;

at at least one of the application server and an analytical server, performing video analysis on a video component of the source content to establish at least one of a suitable start and end time for each identified individual play, wherein the video analysis comprises analysis of a video component representing a game clock;

at at least one of the application server and the analytical server, automatically prioritizing the identified plays based at least in part on the degree to which they support the identified at least one narrative;

at at least one of the application server and an analytical server, automatically generating a plurality of segments from the representation of the at least one sporting event, each segment having a start time and an end time, and each segment corresponding to at least one of the identified individual plays within the at least one sporting event, wherein, for each generated segment, at least one of the start and end times is selected based on at least one of the established suitable start and end times;

at the application server, automatically generating the customized highlight show for the at least one sporting event, based on the identified and prioritized plays, wherein the customized highlight show comprises at least a subset of the generated segments;

transmitting the customized highlight show from the application server to the client device; and

causing an output device of the client device to output the customized highlight show.

59. A system for generating a customized highlight show having a narrative, for presentation to a user, comprising:

a web server, configured to receive a request for the customized highlight show from a client device and to pass the request to an application server;

the application server, communicatively coupled to the web server, comprising a hardware processor configured to perform the steps of;

receiving an electronic signal comprising source content representing at least a portion of at least one sporting event;

determining, based on available metadata, which sport of a plurality of sports is depicted in the source content, wherein each sport in the plurality has a stored play definition, the play definition including criteria for determining play start time and play end time for that sport;

identifying at least one narrative relating to at least a portion of the source content, wherein the at least one narrative provides a coherent story that links a set of segments relating to at least one of a participant, team, story, and play associated with the at least one sporting event; and

identifying the play definition for the sport depicted in the source content;

an analytical server, communicatively coupled to the application server, comprising a hardware processor configured to perform the steps of;

based on the identified play definition for the sport depicted in the source content and based on the available metadata, performing an analysis to identify individual plays within the at least one sporting event;

performing video analysis on a video component of the source content to establish at least one of a suitable start and end time for each identified individual play, wherein the video analysis comprises analysis of a video component representing a game clock; and

automatically prioritizing the identified plays based at least in part on the degree to which they support the identified at least one narrative;

wherein the hardware processor of the application server is further configured to perform the steps of;

automatically generating a plurality of segments from the representation of the at least one sporting event, each segment having a start time and an end time, and each segment corresponding to at least one of the identified individual plays within the at least one sporting event, wherein, for each generated segment, at least one of the start and end times is selected based on at least one of the established suitable start and end times;

automatically generating the customized highlight show for the at least one sporting event, based on the identified and prioritized plays, wherein the customized highlight show comprises at least a subset of the generated segments; and

transmitting the customized highlight show from the application server to the client device for output thereon.