US2020410242A1PendingUtilityA1
Systems and methods for compiled video generation
Est. expiryDec 21, 2036(~10.4 yrs left)· nominal 20-yr term from priority
G06V 20/49G06V 20/41G11B 27/036G06K 9/00765G06K 9/00718
60
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Claims
Abstract
Systems, methods, and non-transitory computer-readable media can determine one or more source video clips. A plurality of video segments are selected from the one or more source video clips based on video segment selection criteria. A compiled video is generated comprising the plurality of video segments.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A computer-implemented method comprising:
performing, by a computing system, a characteristic analysis technique on media content items associated with a user; identifying, by the computing system, a theme based on a number of the media content items that contain subject matter associated with the theme; selecting, by the computing system, a plurality of segments from the media content items, the plurality of segments containing the subject matter associated with the theme; and generating, by the computing system, a compiled media content item comprising the plurality of segments.
2 . The computer-implemented method of claim 1 , wherein the selecting the plurality of segments from the media content items is based on quality associated with the respective segments.
3 . The computer-implemented method of claim 1 , wherein the characteristic analysis technique comprises analysis of at least one of visual characteristics, audio characteristics, movement characteristics, or social engagement characteristics.
4 . The computer-implemented method of claim 3 , wherein the social engagement characteristics associated with a media content item of the media content items include at least one of a number of viewers or a number of responses associated with the media content item, and the selecting the plurality of segments from the media content items is based on the social engagement characteristics.
5 . The computer-implemented method of claim 1 , wherein the media content items comprise a live broadcast with which viewers can interact in real-time, and the selecting the plurality of segments from the media content items comprises selecting a segment from the live broadcast based on social engagement characteristics associated with the segment.
6 . The computer-implemented method of claim 1 , wherein the performing the characteristic analysis technique on the media content items comprises determining a degree of stillness associated with a media content item of the media content items based on camera movement information associated with the media content item, and the selecting the plurality of segments from the media content items comprises selecting a segment from the media content item based on the camera movement information.
7 . The computer-implemented method of claim 6 , wherein the camera movement information is based on a sensor associated with a camera that captured the media content item.
8 . The computer-implemented method of claim 1 , wherein the selecting the plurality of segments from the media content items comprises ranking the plurality of segments based on results of the characteristic analysis technique.
9 . The computer-implemented method of claim 1 , wherein the selecting the plurality of segments from the media content items comprises selecting the plurality of segments based on at least one of a time of capture or a location of capture associated with a segment of the plurality of segments.
10 . The computer-implemented method of claim 1 , further comprising normalizing at least one of video aspects or audio aspects of the plurality of segments of the compiled media content item.
11 . A system comprising:
at least one processor; and a memory storing instructions that, when executed by the at least one processor, cause the system to perform a method comprising:
performing a characteristic analysis technique on media content items associated with a user;
identifying a theme based on a number of the media content items that contain subject matter associated with the theme;
selecting a plurality of segments from the media content items, the plurality of segments containing the subject matter associated with the theme; and
generating a compiled media content item comprising the plurality of segments.
12 . The system of claim 11 , wherein the selecting the plurality of segments from the media content items is based on quality associated with the respective segments.
13 . The system of claim 11 , wherein the characteristic analysis technique comprises analysis of at least one of visual characteristics, audio characteristics, movement characteristics, or social engagement characteristics.
14 . The system of claim 13 , wherein the social engagement characteristics associated with a media content item of the media content items include at least one of a number of viewers or a number of responses associated with the media content item, and the selecting the plurality of segments from the media content items is based on the social engagement characteristics.
15 . The system of claim 11 , wherein the media content items comprise a live broadcast with which viewers can interact in real-time, and the selecting the plurality of segments from the media content items comprises selecting a segment from the live broadcast based on social engagement characteristics associated with the segment.
16 . A non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of a computing system, cause the computing system to perform a method comprising:
performing a characteristic analysis technique on media content items associated with a user; identifying a theme based on a number of the media content items that contain subject matter associated with the theme; selecting a plurality of segments from the media content items, the plurality of segments containing the subject matter associated with the theme; and generating a compiled media content item comprising the plurality of segments.
17 . The non-transitory computer-readable storage medium of claim 16 , wherein the selecting the plurality of segments from the media content items is based on quality associated with the respective segments.
18 . The non-transitory computer-readable storage medium of claim 16 , wherein the characteristic analysis technique comprises analysis of at least one of visual characteristics, audio characteristics, movement characteristics, or social engagement characteristics.
19 . The non-transitory computer-readable storage medium of claim 18 , wherein the social engagement characteristics associated with a media content item of the media content items include at least one of a number of viewers or a number of responses associated with the media content item, and the selecting the plurality of segments from the media content items is based on the social engagement characteristics.
20 . The non-transitory computer-readable storage medium of claim 16 , wherein the media content items comprise a live broadcast with which viewers can interact in real-time, and the selecting the plurality of segments from the media content items comprises selecting a segment from the live broadcast based on social engagement characteristics associated with the segment.Join the waitlist — get patent alerts
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