Systems and methods for generating time-lapse videos
Video content may be captured by an image capture device during a capture duration. The video content may include video frames that define visual content viewable as a function of progress through a progress length of the video content. Rotational position information may characterize rotational positions of the image capture device during the capture duration. Time-lapse video frames may be determined from the video frames of the video content based on a spatiotemporal metric. The spatiotemporal metric may characterize spatial smoothness and temporal regularity of the time-lapse video frames. The spatial smoothness may be determined based on the rotational positions of the image capture device corresponding to the time-lapse video frames, and the temporal regularity may be determined based on moments corresponding to the time-lapse video frames. Time-lapse video content may be generated based on the time-lapse video frames.
1. A system for generating time-lapse videos, the system comprising:
one or more physical processors configured by machine-readable instructions to:
obtain video information defining video content, the video content captured by an image capture device during a capture duration, the video content having a progress length, the video content including video frames that define visual content viewable as a function of progress through the progress length, the video frames corresponding to moments within the progress length;
obtain rotational position information of the image capture device, the rotational position information characterizing rotational positions of the image capture device during the capture duration;
determine time-lapse video frames from the video frames of the video content based on a spatiotemporal metric, the spatiotemporal metric determined based on a speed pattern of the time-lapse video frames, a desired speed pattern for time-lapse video content, moments corresponding to the time-lapse video frames, angular velocity of the image capture device during capture of the time-lapse video frames, and angular acceleration of the image capture device during capture of the time-lapse video frames; and
generate the time-lapse video content based on the time-lapse video frames.
2. The system of claim 1 , wherein the spatiotemporal metric characterizes spatial smoothness and temporal regularity of the time-lapse video frames, the spatial smoothness determined based on the rotational positions of the image capture device corresponding to the time-lapse video frames and the temporal regularity determined based on the moments corresponding to the time-lapse video frames.
3. The system of claim 2 , wherein the spatial smoothness is determined further based on one or more transformations applied to the time-lapse video frames.
4. The system of claim 2 , wherein the spatiotemporal metric is determined further based on a comparison of the speed pattern of the time-lapse video frames and the desired speed pattern for the time-lapse video content, and differences between the moments corresponding to the time-lapse video frames.
5. The system of claim 2 , wherein the spatiotemporal metric is determined further based on the visual content of the time-lapse video frames, and the spatiotemporal metric further characterizes content characteristics of the time-lapse video frames.
6. The system of claim 5 , wherein the speed pattern of the time-lapse video frames is determined based on the content characteristics of the time-lapse video frames.
7. The system of claim 6 , wherein the speed pattern of the time-lapse video frames includes a speed-up for a sub-set of the time-lapse video frames based on the content characteristics of the sub-set of the time-lapse video frames indicating no highlight event within the sub-set of the time-lapse video frames.
8. The system of claim 1 , wherein the one or more physical processors are, to determine the time-lapse video frames, further configured to:
select a set of video frames of the video content based on the spatiotemporal metric; and
stabilize at least some of the set of video frames.
9. The system of claim 8 , wherein the time-lapse video content is generated based on storage of the set of video frames in a frame selection buffer and a stabilization buffer.
10. The system of claim 1 , wherein the time-lapse video frames are determined further based on a skipping bound.
11. A method for generating time-lapse videos, the method performed by a computing system including one or more processors, the method comprising:
obtaining, by the computing system, video information defining video content, the video content having a progress length, the video content including video frames that define visual content viewable as a function of progress through the progress length, the video frames corresponding to moments within the progress length;
obtaining, by the computing system, rotational position information of the image capture device, the rotational position information characterizing rotational positions of the image capture device during the capture period;
determining, by the computing system, time-lapse video frames from the video frames of the video content based on a spatiotemporal metric, the spatiotemporal metric determined based on a speed pattern of the time-lapse video frames, a desired speed pattern for time-lapse video content, moments corresponding to the time-lapse video frames, angular velocity of the image capture device during capture of the time-lapse video frames, and angular acceleration of the image capture device during capture of the time-lapse video frames; and
generating, by the computing system, the time-lapse video content based on the time-lapse video frames.
12. The method of claim 11 , wherein the spatiotemporal metric characterizes spatial smoothness and temporal regularity of the time-lapse video frames, the spatial smoothness determined based on the rotational positions of the image capture device corresponding to the time-lapse video frames and the temporal regularity determined based on the moments corresponding to the time-lapse video frames.
13. The method of claim 12 , wherein the spatial smoothness is determined further based on one or more transformations applied to the time-lapse video frames.
14. The method of claim 12 , wherein the spatiotemporal metric is determined further based on a comparison of the speed pattern of the time-lapse video frames and the desired speed pattern for the time-lapse video content, and differences between the moments corresponding to the time-lapse video frames.
15. The method of claim 12 , wherein the spatiotemporal metric is determined further based on the visual content of the time-lapse video frames, and the spatiotemporal metric further characterizes content characteristics of the time-lapse video frames.
16. The method of claim 15 , wherein the speed pattern of the time-lapse video frames is determined based on the content characteristics of the time-lapse video frames.
17. The method of claim 16 , wherein the speed pattern of the time-lapse video frames includes a speed-up for a sub-set of the time-lapse video frames based on the content characteristics of the sub-set of the time-lapse video frames indicating no highlight event within the sub-set of the time-lapse video frames.
18. The method of claim 11 , wherein determining the time-lapse video frames includes:
selecting a set of video frames of the video content based on the spatiotemporal metric; and
stabilizing at least some of the set of video frames.
19. The method of claim 18 , wherein the time-lapse video content is generated based on storage of the set of video frames in a frame selection buffer and a stabilization buffer.
20. The method of claim 11 , wherein the time-lapse video frames and the time-lapse video frames are determined further based on a skipping bound.