Abstract: An image capture device continuously generates time-lapse video frames to be included within a time-lapse video using a dynamic time-lapse video frame rate, with the value of the dynamic time-lapse video frame rate changing based on activation of a trigger to change the dynamic time-lapse video frame rate. The dynamic time-lapse video frame rate alternates between different values.

Abstract: An image capture device may capture a video. A part of the video may include depiction of an object of interest, and another part of the video may not include depiction of the object of interest. Stabilization of the video may switch between object stabilization and movement stabilization based on whether or not the video depicts the object of interest. The part of the video depicting the object of interest may be stabilized using object stabilization. The part of the video not depicting the object of interest may be stabilized using movement stabilization.

Abstract: A video may be captured by an image capture device. A stabilized view of the video may be generated by using a punchout of the video. The shape and/or size of the punchout may be dynamically changed based on stabilization performance of the video. The shape and/or size of the punchout may be changed when the punchout is moving within the video. The shape and/or size of the punchout may not be changed when the punchout is not moving within the video.

Abstract: An image capture device may capture a video. A part of the video may include depiction of an object of interest, and another part of the video may not include depiction of the object of interest. Stabilization of the video may switch between object stabilization and movement stabilization based on whether or not the video depicts the object of interest. The part of the video depicting the object of interest may be stabilized using object stabilization. The part of the video not depicting the object of interest may be stabilized using movement stabilization.

Abstract: Positions of an image capture device may be used to determine a position-based time-lapse video frame factor. Apparent motion between pairs of images may be used to determine a visual-based time-lapse video frame rate factor. A time-lapse video frame rate for a time-lapse video may be determined based on the position-based time-lapse video frame factor and the visual-based time-lapse video frame rate factor.

Abstract: An image capture device continuously generates time-lapse video frames to be included within a time-lapse video using a dynamic time-lapse video frame rate, with the value of the dynamic time-lapse video frame rate changing based on activation of a trigger to change the dynamic time-lapse video frame rate. The dynamic time-lapse video frame rate alternates between different values.

Abstract: An image capture device may capture visual content during a capture duration. The context of capture of the visual content by the image capture device may be assessed. The context of capture of the visual content by the image capture device may be used to determine values of stabilization parameters for the visual content.

Abstract: Images may be captured by a moving image capture device. A reference image and a background image may be selected from the images. The reference image may include depiction of an object, with the object blocking view of the background. The background image may include depiction of the background blocked by the object in the reference image. An object layer may be generated by segmenting the depiction of the object from the reference image. A background layer may be generated by combining the depiction of the background in the background image with the reference image. The background layer may be blurred and combined with the object layer to generate a panning image.

Abstract: Positions of an image capture device may be used to determine a position-based time-lapse video frame factor. Apparent motion between pairs of images may be used to determine a visual-based time-lapse video frame rate factor. A time-lapse video frame rate for a time-lapse video may be determined based on the position-based time-lapse video frame factor and the visual-based time-lapse video frame rate factor.

Abstract: An image capture device may capture visual content during a capture duration. The context of capture of the visual content by the image capture device may be assessed and used to determine values of stabilization parameters for the visual content.

Abstract: An image capture device may be calibrated using calibration parameters. Optical medium through which the image capture device captures images may be changed. The calibration parameters of the image capture device may be dynamically modified to account for the change in the optical medium. The image capture device may be operated in accordance with the modified calibration parameters to capture images through the optical medium.

Abstract: Positions of an image capture device may be used to determine a position-based time-lapse video frame factor. Apparent motion between pairs of images may be used to determine a visual-based time-lapse video frame rate factor. A time-lapse video frame rate for a time-lapse video may be determined based on the position-based time-lapse video frame factor and the visual-based time-lapse video frame rate factor.

Abstract: An image capture device continuously generates time-lapse video frames to be included within a time-lapse video using a dynamic time-lapse video frame rate, with the value of the dynamic time-lapse video frame rate changing based on activation of a trigger to change the dynamic time-lapse video frame rate. The dynamic time-lapse video frame rate alternates between different values.

Abstract: Methods and systems for denoising. A method for denoising includes receiving an image from an image sensor, denoising the image, in a non-linear domain by a denoiser, by applying a noise map to the image to obtain a denoised image. Training losses for the denoiser are processed in a linear domain. The method includes storing, displaying, or transmitting an output image based on the denoised image.

Abstract: Holistic systems and methods are used for calibrating image capture devices. An image capture device includes a lens, an image sensor, an inertial measurement unit (IMU), and an image signal processor (ISP). The image sensor detects images as frames and the IMU captures motion data. The ISP detects one or more key points on the frames and matches the one or more key points between the frames. The ISP computes one or more calibration parameters. The one or more calibration parameters are based on the matched key points and a model. The model includes an optical component, an IMU component, and a sensor component. The ISP performs a calibration using the calibration parameters.

Abstract: Systems and methods are used for calibrating a time difference between an image signal processor (ISP) and an inertial measurement unit (IMU) of an image capture device. An image capture device includes a lens, an image sensor, an IMU, and an ISP. The image sensor detects images as frames and the IMU captures motion data. The ISP detects one or more key points on the frames and matches the one or more key points between the frames. The ISP computes one or more calibration parameters. The one or more calibration parameters are based on the matched key points and a time difference between the ISP and the IMU. The ISP performs a calibration using the calibration parameters.

Abstract: Positions of an image capture device may be used to estimate a time-lapse video frame rate with which time-lapse video frames are generated. The time-lapse video frame rate may be adjusted based on apparent motion between pairs of generated time-lapse video frames. The adjusted time-lapse video frame rate may be used to generate additional time-lapse video frames.

Abstract: An image capture device continuously generates time-lapse video frames to be included within a time-lapse video using a time-lapse video frame rate, with the value of the time-lapse video frame rate changing based on activation of a trigger to change the time-lapse video frame rate.

Abstract: An image capture device may be calibrated using calibration parameters. Optical medium through which the image capture device captures images may be changed. The calibration parameters of the image capture device may be dynamically modified to account for the change in the optical medium. The image capture device may be operated in accordance with the modified calibration parameters to capture images through the optical medium.

Abstract: Positions of an image capture device may be used to estimate a time-lapse video frame rate with which time-lapse video frames are generated. The time-lapse video frame rate may be adjusted based on apparent motion between pairs of generated time-lapse video frames. The adjusted time-lapse video frame rate may be used to generate additional time-lapse video frames.