IP Library › Granted Patent US 10,158,912

Granted Patent B2

US 10,158,912 · App. 15/806,918 · Granted Dec 18, 2018

Event-based media playback

Inventors: Alisson Friedrich (Marietta, GA); Kevin Swain (Mableton, GA)

H04N21/44008 H04N21/4728 H04N21/47217

View Patent ↗

Loading inventors, assignments & file history…

Monitor This Case

Get email alerts when status or documents change.

Order Certified Copies

Most orders are placed with the USPTO same day — all within 24 business hours.

Order via The Patent Place →

Pre-filled with this patent's details

Quick Facts

Patent No.: US 10,158,912
App. No.: 15/806,918
Granted: Dec 18, 2018
Kind: B2

External Links

USPTO Patent Center↗ Full Patent PDF↗

Abstract

Particular portions or events of recorded television programming identified as having especially significant or interesting detail may be played-back at normal speed without user input; whereas other portions or events of the recorded television programming may be played-back at greater than normal speed.

Claims (64)

1. A method, comprising:

receiving, by a television receiver, media content;

storing, by the television receiver, the received media content;

processing, by the television receiver, a listing associated with the media content to facilitate playback content at a specified frame rate of only highlights from the media content, the listing comprising:

first time information corresponding to a first event occurring in the playback of the media content, where the first time information comprises:

a first pre-event time prior to occurrence of the first event in the playback of the media content; and

a first post-event time subsequent to the occurrence of the first event in the playback of the media content;

second time information corresponding to a second event occurring in the playback of the media content, where the second time information comprises:

a second pre-event time prior to occurrence of the second event in the playback of the media content; and

a second post-event time subsequent to the occurrence of the second event in the playback of the media content;

the first event and the second event identified as potentially interesting or significant over other portions of the media content based at least in part on differentiating a threshold number of actions attributed to one or more particular groups of individuals;

identifying, by the television receiver, a first position during the playback of the media content associated with the first pre-event time prior to occurrence of the first event;

automatically adjusting, by the television receiver without user input, the playback of the media content to the identified first position, and causing the playback of the media content at the specified frame rate from the identified first position until a subsequent position during the playback that corresponds to the first post-event time;

identifying, by the television receiver, a second position during the playback of the media content associated with the second pre-event time prior to occurrence of the second event; and

automatically adjusting, by the television receiver without user input, the playback of the media content to the identified second position, and causing the playback of the media content at the specified frame rate from the identified second position until a subsequent position during the playback that corresponds to the second post-event time.

2. The method of claim 1 , wherein one or both of the first event and the second event were identified as potentially interesting or significant over other portions of the media content based at least in part on one or more keywords identified in an audio stream of the media content.

3. The method of claim 1 , wherein one or both of the first event and the second event were identified as potentially interesting or significant over other portions of the media content based at least in part on one or more volume and/or inflection aspects identified in an audio stream of the media content.

4. The method of claim 1 , wherein one or both of the first event and the second event were identified as potentially interesting or significant over other portions of the media content based at least in part on particular graphics identified in a video stream of the media content.

5. The method of claim 1 , wherein one or both of the first event and the second event were identified as potentially interesting or significant over other portions of the media content based at least in part on the actions that comprise actions attributed to viewers of the media content that correspond to repeat playbacks of the first event and/or the second event.

6. The method of claim 1 , wherein one or both of the first event and the second event were identified as potentially interesting or significant over other portions of the media content based at least in part on the actions that comprise user inputs via one or more social networks.

7. The method of claim 1 , wherein one or both of the first event and the second event were identified as potentially interesting or significant over other portions of the media content based at least in part on information from a plurality of different types of event marking sources comprising two or more of: a manual marking source; a monitored event marking source; an automated event marking source; and/or a crowdsourcing marking source.

8. A computing system, comprising:

one or more processors; and

a memory communicatively coupled with and readable by the one or more processors and having stored therein processor-readable instructions which, when executed by the one or more processors, cause the one or more processors to:

receive media content;

store the received media content;

process a listing associated with the media content to facilitate playback content at a specified frame rate of only highlights from the media content, the listing comprising:

first time information corresponding to a first event occurring in the playback of the media content, where the first time information comprises:

a first pre-event time prior to occurrence of the first event in the playback of the media content; and

a first post-event time subsequent to the occurrence of the first event in the playback of the media content;

second time information corresponding to a second event occurring in the playback of the media content, where the second time information comprises:

a second pre-event time prior to occurrence of the second event in the playback of the media content; and

a second post-event time subsequent to the occurrence of the second event in the playback of the media content;

identify a first position during the playback of the media content associated with the first pre-event time prior to occurrence of the first event;

automatically adjust, without user input, the playback of the media content to the identified first position, and cause the playback of the media content at the specified frame rate from the identified first position until a subsequent position during the playback that corresponds to the first post-event time;

identify a second position during the playback of the media content associated with the second pre-event time prior to occurrence of the second event; and

automatically adjust, without user input, the playback of the media content to the identified second position, and causing the playback of the media content at the specified frame rate from the identified second position until a subsequent position during the playback that corresponds to the second post-event time.

9. The computing system of claim 8 , wherein one or both of the first event and the second event were identified as potentially interesting or significant over other portions of the media content based at least in part on one or more keywords identified in an audio stream of the media content.

10. The computing system of claim 8 , wherein one or both of the first event and the second event were identified as potentially interesting or significant over other portions of the media content based at least in part on one or more volume and/or inflection aspects identified in an audio stream of the media content.

11. The computing system of claim 8 , wherein one or both of the first event and the second event were identified as potentially interesting or significant over other portions of the media content based at least in part on particular graphics identified in a video stream of the media content.

12. The computing system of claim 8 , wherein one or both of the first event and the second event were identified as potentially interesting or significant over other portions of the media content based at least in part on the actions that comprise actions attributed to viewers of the media content that correspond to repeat playbacks of the first event and/or the second event.

13. The computing system of claim 8 , wherein one or both of the first event and the second event were identified as potentially interesting or significant over other portions of the media content based at least in part on the actions that comprise user inputs via one or more social networks.

14. The computing system of claim 8 , wherein one or both of the first event and the second event were identified as potentially interesting or significant over other portions of the media content based at least in part on information from a plurality of different types of event marking sources comprising two or more of: a manual marking source; a monitored event marking source; an automated event marking source; and/or a crowdsourcing marking source.

15. One or more non-transitory, processor-readable media comprising processor-readable instructions, which, when executed by one or more processing devices, cause the one or more processing devices to: