Systems and methods for generating time-lapse videos

US12211520B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12211520-B2
Application numberUS-202318364637-A
CountryUS
Kind codeB2
Filing dateAug 3, 2023
Priority dateMay 14, 2018
Publication dateJan 28, 2025
Grant dateJan 28, 2025

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

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.

First claim

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What is claimed is: 1. An image capture device for generating time-lapse videos, the image capture device comprising: a housing; an image sensor carried by the housing and configured to generate an image output signal conveying image information based on light that becomes incident thereon, the image information defining video frames; an optical element carried by the housing and configured to guide light within a field of view to the image sensor; and one or more physical processors configured by machine-readable instructions to: determine time-lapse video frames from the video frames for generation of time-lapse video content, wherein the time-lapse video frames are determined based on regularity and/or consistency in spatial positions of the housing during capture of the video frames and based on regularity and/or consistency in time at which the video frames are captured, wherein determination of the time-lapse video frames from the video frames is limited by a lower skipping bound and an upper skipping bound, the lower skipping bound defining a minimum number of video frames for skipping and the upper skipping bound defining a maximum number of video frames for skipping in the determination of the time-lapse video frames from the video frames, the lower skipping bound and the upper skipping bound establishing a range of the video frames from which next time-lapse video frame is determined, wherein the determination of the time-lapse video frames from the video frames being limited by the lower skipping bound and the upper skipping bound includes the video frames outside the range of video frames not being captured by the image capture device; and generate the time-lapse video content based on the time-lapse video frames. 2. The image capture device of claim 1 , wherein the time-lapse video frames are determined based on regularity and/or consistency in spatial positions of the housing during capture of the video frames to increase spatial smoothness of the time-lapse video frames. 3. The image capture device 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 image capture device of claim 1 , wherein temporal regularity of the time-lapse video frames is determined based on the moments corresponding to the time-lapse video frames, and the time-lapse video frames are determined to respect one or more constraints on the temporal regularity of the time-lapse video frames. 5. The image capture device of claim 4 , wherein the temporal regularity of the time-lapse video frames includes an extent of uniformity in temporal spacing of the moments corresponding to the time-lapse video frames. 6. The image capture device of claim 4 , wherein the temporal regularity of the time-lapse video frames includes an extent of match between perceived speed-up provided by the time-lapse video frames and desired speed-up for the time lapse video content. 7. The image capture device 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; and stabilize at least some of the set of video frames. 8. The image capture device of claim 1 , wherein the time-lapse video content is generated based on storage of one or more sets of video frames in a frame selection buffer and a stabilization buffer. 9. The image capture device of claim 8 , wherein the frame selection buffer includes first memory to store video frames for use in determining the time-lapse video frames and the stabilization buffer includes second memory to store video frames for use in stabilizing the time-lapse video frames. 10. A method for generating time-lapse videos, the method performed by an image capture device, the image capture device including one or more processors, an image sensor, and an optical element, the image sensor configured to generate an image output signal conveying image information based on light that becomes incident thereon, the image information defining video frames, the optical element configured to guide light within a field of view to the image sensor, the method comprising: determining time-lapse video frames from the video frames for generation of time-lapse video content, wherein the time-lapse video frames are determined based on regularity and/or consistency in spatial positions of the image capture device during capture of the video frames and based on regularity and/or consistency in time at which the video frames are captured, wherein determination of the time-lapse video frames from the video frames is limited by a lower skipping bound and an upper skipping bound, the lower skipping bound defining a minimum number of video frames for skipping and the upper skipping bound defining a maximum number of video frames for skipping in the determination of the time-lapse video frames from the video frames, the lower skipping bound and the upper skipping bound establishing a range of the video frames from which next time-lapse video frame is determined, wherein the determination of the time-lapse video frames from the video frames being limited by the lower skipping bound and the upper skipping bound includes the video frames outside the range of video frames not being captured by the image capture device; and generating the time-lapse video content based on the time-lapse video frames. 11. The method of claim 10 , wherein the time-lapse video frames are determined based on regularity and/or consistency in spatial positions of the image capture device during capture of the video frames to increase spatial smoothness of the time-lapse video frames. 12. The method of claim 11 , wherein the spatial smoothness is determined further based on one or more transformations applied to the time-lapse video frames. 13. The method of claim 10 , wherein temporal regularity of the time-lapse video frames is determined based on the moments corresponding to the time-lapse video frames, and the time-lapse video frames are determined to respect one or more constraints on the temporal regularity of the time-lapse video frames. 14. The method of claim 13 , wherein the temporal regularity of the time-lapse video frames includes an extent of uniformity in temporal spacing of the moments corresponding to the time-lapse video frames. 15. The method of claim 13 , wherein the temporal regularity of the time-lapse video frames includes an extent of match between perceived speed-up provided by the time-lapse video frames and desired speed-up for the time lapse video content. 16. The method of claim 10 , wherein determining the time-lapse video frames includes: selecting a set of video frames; and stabilizing at least some of the set of video frames. 17. The method of claim 10 , wherein the time-lapse video content is generated based on storage of one or more sets of video frames in a frame selection buffer and a stabilization buffer. 18. The method of claim 17 , wherein the frame selection buffer includes first memory to store video frames for use in determining the time-lapse video frames and the stabilization buffer includes second memory to store video frames for use in stabilizing the time-lapse video frames. 19. An image capture device for generating time-lapse videos, the image capture device comprising: a housing; an image sensor carried by the housing and configured to generate an image output signal conveying image information based on light that becomes incident thereon, the image informatio

Assignees

Inventors

Classifications

  • based on additional sensors, e.g. acceleration sensors · CPC title

  • performed by a processor, e.g. controlling the readout of an image memory · CPC title

  • Indicating arrangements  {(indicating means incorporated in magazine or cassette G11B23/046 and G11B23/0875; indicating measured values in general G01D)} · CPC title

  • the information being derived from movement of the record carrier, e.g. using tachometer · CPC title

  • Electronic editing of digitised analogue information signals, e.g. audio or video signals · CPC title

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What does patent US12211520B2 cover?
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 de…
Who is the assignee on this patent?
Gopro Inc
What technology area does this patent fall under?
Primary CPC classification G11B27/005. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jan 28 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).