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.

Abstract: A customized highlight sequence depicting multiple events, and based on a user's personal characteristics, interests, and/or preferences, is 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. In at least one embodiment, the amount of time available to the user can be obtained, so that the length of the highlight sequence can be tailored to the available time. A customized highlight sequence 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 to the user and comports with the time restrictions.

Abstract: A customized highlight sequence depicting an event, and based on a user's personal characteristics, interests, and/or preferences, is generated and presented. The event can be a sporting event, entertainment event, 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. In at least one embodiment, the amount of time available to the user can be obtained, so that the length of the highlight sequence can be tailored to the available time. A customized highlight sequence is then generated and presented, containing those specific portions of the sporting event that are likely to be of interest, arranged in a manner that is likely to be entertaining to the user and comports with the time restrictions.

Abstract: A stream of media content is received in a media device. A value is determined in metadata of the media content relating to an indicia of interest in a portion of the media content. A first clip including the portion of the media content is stored based at least in part on the indicia of interest, whereby the first clip is made available for later retrieval.

Abstract: A data processing system automatically generates excitement levels with improved response times using prospective data. One embodiment includes accessing data that provides state information for an event at different times during the event, automatically generating a plurality of excitement levels based on the accessed data, and reporting the generated excitement levels. Each of the excitement levels of the plurality of excitement levels corresponds to a different sample time during the event. For each sample time, the generating of the plurality of excitement levels comprises calculating an excitement level based on accessed data prior in time to the sample time and accessed data subsequent in time to the sample time.

Abstract: A data processing system automatically generates excitement levels with improved response times using prospective data. One embodiment includes accessing data that provides state information for an event at different times during the event, automatically generating a plurality of excitement levels based on the accessed data, and reporting the generated excitement levels. Each of the excitement levels of the plurality of excitement levels corresponds to a different sample time during the event. For each sample time, the generating of the plurality of excitement levels comprises calculating an excitement level based on accessed data prior in time to the sample time and accessed data subsequent in time to the sample time.

Abstract: A live performance is monitored by analyzing an input data stream comprising real-time updates related to the live performance. Different sets of excitement levels, excitement curves, alerts and teasers are generated based on the analysis and reported to a plurality of subscribers using any of a variety of mobile communication and/or computing devices.

Abstract: A live performance is monitored by analyzing an input data stream comprising real-time updates related to the live performance. Different sets of excitement levels, excitement curves, alerts and teasers are generated based on the analysis and reported to a plurality of subscribers using any of a variety of mobile communication and/or computing devices.

Abstract: A method and system to recommend performances based on the performances' excitement-level as determined from events and characteristics associated with the performance and a subscriber's preference is described herein. A subscriber's preference influences the performance type and performance characteristics that are exciting to the subscriber. Recommendations for performances can be sent to the subscriber as a link or direct connection to a location of the online performance. Recommendations of a performance preserve the excitement of the performance by not revealing the score, outcome, or any statistics or commentary that would spoil the natural buildup of excitement from watching the live performance. Performance recommendations may include a start-time and end-time for watching only the exciting portions of the performance.

Abstract: A live performance is monitored by analyzing an input data stream comprising real-time updates related to the live performance. Different sets of excitement levels, excitement curves, alerts and teasers are generated based on the analysis and reported to a plurality of subscribers using any of a variety of mobile communication and/or computing devices.

Abstract: A live performance is monitored by analyzing an input data stream comprising real-time updates related to the live performance. Different sets of excitement levels, excitement curves, alerts and teasers are generated based on the analysis and reported to a plurality of subscribers using any of a variety of mobile communication and/or computing devices.

Abstract: A live performance is monitored by analyzing an input data stream comprising real-time updates related to the live performance. Different sets of excitement levels, excitement curves, alerts and teasers are generated based on the analysis and reported to a plurality of subscribers using any of a variety of mobile communication and/or computing devices.

Abstract: A live performance is monitored by analyzing an input data stream comprising real-time updates related to the live performance. Different sets of excitement levels, excitement curves, alerts and teasers are generated based on the analysis and reported to a plurality of subscribers using any of a variety of mobile communication and/or computing devices.