Method and system for segmenting and transmitting on-demand live-action video in real-time
A method and system for producing video-segments of a live-action event involving monitoring a live-action event for detection of event-segments, detecting one or more event-triggers with detectors, determining if an event-segment occurred based on the detected event-triggers, and editing one or more video feeds into a video-segment to encompass the event-segment.
1. A method for creating a video-segment from one or more video-feeds of a live-action event, comprising:
monitoring a live-action event for event-segments, wherein the detection of an event-segment includes the steps of
detecting one or more event-triggers with detectors within a predetermined time range, wherein at least one of the detectors comprises a speech-to-text recognition detector that detects as an event-trigger information regarding what is occurring in the live-action event,
receiving external metadata from a source other than the video-feeds and their accompanying information, and
automatically determining when an event-segment occurs by entering said event-triggers and the metadata into a predetermined profile; and
automatically editing said one or more video-feeds into a continuous video that encompasses a plurality of event-segments and that does not exceed a maximum time length, and wherein when the inclusion of all detected event segments in said video-segment would exceed said maximum time length, prioritizing inclusion of said event-segments according to their importance so that said maximum time length is not exceeded.
2. The method of claim 1 , further comprising
determining if the event-state is “on” or “off”;
recording one or more of the one or more video-feeds if the event-state is determined to be “on”.
3. The method of claim 1 , wherein at least one of the detectors comprises a frame-by-frame pattern recognition detector.
4. The method of claim 1 , wherein at least one of the detectors comprise a physical sensor detectors.
5. The method of claim 1 , wherein at least one of the detectors comprises an audio recognition detector.
6. The method of claim 1 , wherein the live-action event is a sporting event, and the external metadata is scoring information.
7. The method of claim 1 , wherein the live-action event is a sporting event, and the external metadata is scoreboard information.
8. The method of claim 1 ,
wherein when said event-triggers include a speech-to-text event-trigger that indicates a contrary conclusion to another event-trigger, applying a weighing factor to the speech-to-text event-trigger that is inversely proportional to the temporal differential between when the speech-to-text event trigger and the other event-triggers were registered.
9. The method of claim 8 , wherein said speech-to-text recognition detector automatically detects as an event-trigger persons participating in the live-action event.
10. The method of claim 8 , wherein said speech-to-text recognition detector automatically detects as an event-trigger statistical information related to what is occurring in the live-action event.
11. A method for delivering a plurality of video-segments from one or more video-feeds of a live-action event to a user device, comprising:
monitoring a live-action event for detection of event-triggers;
creating a plurality of event-segments, each event-segment created by the steps of:
detecting one or more event-triggers with detectors, wherein at least one of the detectors comprises a speech-to-text recognition detector that detects as an event-trigger information regarding what is occurring in the live-action event;
automatically determining if an important event occurred based on the detected event-triggers;
automatically editing said one or more video-feeds into an event-segment to encompass the important event;
wherein each detected event-trigger is assigned a weighted value based upon the detected event trigger;
editing a plurality of event-segments into a continuous video that does not exceed a maximum time length, wherein when the inclusion of all detected event-segments in said video would exceed said maximum time length, prioritizing inclusion of said event-segments according to their importance so that said maximum time length is not exceeded; and
presenting on said user device a selectable representation of said video.
12. The method of claim 11 , wherein the weighted value assigned to each event trigger is based upon the detected event trigger exceeding a predetermined threshold.
13. The method of claim 12 , wherein the weighted value assigned to each event trigger is proportional to the extent to which the detected event trigger exceeded said predetermined threshold.
14. The method of claim 11 , wherein the weighted value assigned to each event trigger is based upon each detector's predetermined relative importance to each other detector.
15. The method of claim 11 , wherein the weighted value assigned to each event trigger is based upon each detector's predetermined relative importance to each other detector that also detects an event trigger within a predetermined range of time.
16. The method of claim 11 , wherein the weighted value assigned to each event trigger is based upon each detected event trigger's predetermined relative importance to each other event trigger.
17. The method of claim 11 , further comprising:
Wherein it is determined if an important event occurred based on an algorithm that is specific to the live action event.
18. The method of claim 11 , wherein said algorithm is based upon the result of an operation, acted on one or more of the weighted values, being less than a predetermined value.
19. The method of claim 11 , wherein said algorithm is based upon the result of an operation, acted on one or more of the weighted values, falling with a range of predetermined values.
20. The method of claim 11 , wherein said algorithm is based upon the result of an operation, acted on one or more of the weighted values, being greater than a predetermined value.
21. The method of claim 11 , further comprising:
recording the time that each event-trigger is detected;
determining when the important event occurred based on the recorded times of each detected event trigger.
22. The method of claim 21 , wherein it is determined when the important event occurred based upon the recorded times of each event trigger that all fall within a predetermined range of time.
23. The method of claim 22 , wherein one or more video feeds are edited into an event-segment to encompass the important event based on when it is determined that the important event occurred.
24. The method of claim 21 , wherein one or more video feeds are edited into a video-segment to encompass the important event based on the event triggers used to determine whether the important event occurred.
25. A method for creating a mini-event from one or more video-feeds of a live-action sporting event, comprising:
monitoring the live-action event for detection of event-segments, wherein the detection of an event-segment includes the steps of;
detecting one or more event-triggers with detectors, wherein at least one of the detectors comprises a speech-to-text recognition detector that detects as an event-trigger information regarding what is occurring in the live-action event;
automatically determining if event-segment occurred based on the detected event-triggers by entering them into a predetermined profile;
automatically editing said one or more video-feeds into a video-segment to encompass said event-segment: and
automatically editing a plurality of video-segments into a continuous video mini-event that is shorter in duration than the live-action sporting event, that satisfys at least one criteria and does not exceed a maximum time length, wherein when inclusion of all detected video-segments would exceed said maximum time length, prioritizing inclusion of said video-segments according to their importance so that said maximum time length is not exceeded.
26. The method of claim 25 , wherein the plurality of video-segments are edited together chronologically, and wherein only a subset of the video-segments are included in the mini-event.
27. The method of claim 25 , wherein the plurality of video-segments each satisfy a pre-determined criteria explicitly designated by a user.
28. The method of claim 26 , wherein the live action event is a sporting event and the criteria is events related to at least one particular player.
29. The method of claim 26 , wherein the plurality of video-segments each satisfy a pre-determined criteria determined without user input based upon a user's prior explicit behavior.
30. The method of claim 25 , further comprising:
automatically editing together video-segments with video data that does not comprise a video segment.
31. The method of claim 30 , further comprising,
wherein inclusion of non-video-segment video data with a series of video-segments is automatically determined based upon pre-determined mappings between certain important events and certain non-video-segment video data.
32. The method of claim 30 , further comprising,
wherein inclusion of non-video-segment video data with a series of video-segments is automatically determined based upon pre-determined mappings between certain information garnered from detected event-triggers and certain non-video-segment video data.
33. The method of claim 31 , further comprising:
automatically determining exclusion of certain non-video-segment video data in the series of video-segments based upon a pre-determined relative importance of assigned to the mappings.
34. The method of claim 25 , further comprising:
automatically editing together video-segments with audio data that does not comprise a video segment.
35. The method of claim 34 , further comprising,
wherein inclusion of non-video-segment video data with a series of video-segments is automatically determined based upon by pre-determined mappings between certain important events and certain non-video-segment audio data.
36. The method of claim 34 , further comprising,
wherein inclusion of non-video-segment video data with a series of video-segments is automatically determined based upon by pre-determined mappings between certain information garnered from detected event-triggers and certain non-video-segment audio data.
37. The method of claim 35 , further comprising:
automatically determining exclusion of certain non-video-segment audio data in the series of video-segments based upon a pre-determined relative importance assigned to the mappings.
38. The method of claim 25 , further comprising:
editing a plurality of video-segments into another video-segment that will not exceed a predetermined time period.
39. The method of claim 38 , further comprising:
automatically determining exclusion of certain video-segments into the series of video- segments based upon a pre-determined relative importance assigned to certain important events.