Systems and methods for generating time-lapse videos

1. A system that generates 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 including a temporal velocity component, a temporal acceleration component, a spatial velocity component, and a spatial acceleration component, the temporal velocity component determined based on a comparison of a speed pattern of the time-lapse video frames and a desired speed pattern for the time-lapse video content, the temporal acceleration component determined based on differences between moments corresponding to the time-lapse video frames, the spatial velocity component determined based on angular velocity of the image capture device during capture of the time-lapse video frames, the spatial acceleration component determined based on angular acceleration of the image capture device during capture of the time-lapse video frames; and

generate time-lapse video content based on the time-lapse video frames, the time-lapse video content including a fewer number of video frames than the video content.

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 1 , wherein the spatiotemporal metric further includes a content component, the content component determined 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.

5. The system of claim 4 , wherein the speed pattern of the time-lapse video frames is determined based on the content characteristics of the time-lapse video frames.

6. The system of claim 5 , 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.

7. 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.

8. The system of claim 7 , 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.

9. The system of claim 1 , wherein the rotational position information is generated by a gyroscope, an accelerometer, or an inertial measurement unit.

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 including a temporal velocity component, a temporal acceleration component, a spatial velocity component, and a spatial acceleration component, the temporal velocity component determined based on a comparison of a speed pattern of the time-lapse video frames and a desired speed pattern for the time-lapse video content, the temporal acceleration component determined based on differences between moments corresponding to the time-lapse video frames, the spatial velocity component determined based on angular velocity of the image capture device during capture of the time-lapse video frames, the spatial acceleration component determined based on angular acceleration of the image capture device during capture of the time-lapse video frames; and

generating, by the computing system, time-lapse video content based on the time-lapse video frames, the time-lapse video content including a fewer number of video frames than the video content.

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 11 , wherein the spatiotemporal metric further includes a content component, the content component determined 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.

15. The method of claim 14 , wherein the speed pattern of the time-lapse video frames is determined based on the content characteristics of the time-lapse video frames.

16. The method of claim 15 , 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.

17. 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.

18. The method of claim 17 , 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.

19. The method of claim 11 , wherein the rotational position information is generated by a gyroscope, an accelerometer, or an inertial measurement unit.

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.