Abstract: A video may include visual content having a field of view. Extents of the visual content within a viewing window may be presented on an electronic display. For a time point in the video, the video may be framed by positioning the viewing window within the field of view of the visual content. The framing of the video at the time point in the video may be extended to a duration in the video. The extended framing of the video over the duration may be presented within a graphical user interface.

Abstract: Image capture devices and methods may be used to pre-buffer media storage. The pre-buffering method includes recording an image capture segment of a variable bitrate input stream in a circular buffer. The circular buffer includes a number of recordable segments. The method includes recording a next image capture segment in a next adjacent recordable segment of the circular buffer if the next adjacent recordable segment of the predetermined number of recordable segments is available. The method includes overwriting an oldest recordable segment if the next adjacent recordable segment of the predetermined number of recordable segments is not available.

Abstract: Automatic exposure with simulated histograms may include obtaining a noise-blur exposure duration value in accordance with a minimal simulated noise-blur cost value obtained in accordance with simulated noise data and simulated blur data, obtaining a saturation exposure value in accordance with a minimal simulated saturation cost value obtained in accordance with simulated black saturation data and simulated white saturation data, comparing the noise-blur exposure duration value and the saturation exposure value, and obtaining a target gain value and a target exposure duration value based on the comparison, wherein the comparing may include obtaining the target exposure duration value in accordance with a minimal simulated blur-saturation cost value obtained in accordance with the simulated blur data and the simulated black saturation data or in accordance with a minimal simulated noise-saturation cost value obtained in accordance with the simulated noise data and the simulated white saturation data.

Abstract: Systems, apparatus, and methods for augmenting dense depth maps using sparse data. Various embodiments combine single-image depth estimation (SIDE) techniques with structure-from-motion techniques for improved depth accuracy. In some examples, a machine learning (ML) model is used to generate a dense depth map based on one or more frames/images of a video. Structure-from-motion (SfM) analysis is performed on the video to determine depth information from camera movement in the video. The structure-from-motion techniques may generate more accurate data than the ML model, however, the data from the ML model may be denser compared with the SFM depth data. The dense ML model depth map may be augmented by the SFM depth data. Augmentation may include fitting the relative depths determined by the ML model depth map to the absolute depth in the SFM data resulting in more accurate dense depth information.

Abstract: A user may carry a computing device. Communication between the computing device and an image capture device may be used to determine when the image capture device becomes separated from the computing device. When the image capture device becomes separated from the computing device, the operation(s) of the image capture device may be changed to assist the user in locating the image capture device. Information on location of the image capture device may be provided to the user through the computing device to assist the user in locating the image capture device.

Abstract: Multiple punchouts of a video may be presented based on multiple viewing windows. The video may include visual content having a field of view. Multiple viewing windows may be determined for the video, with individual viewing window defining a set of extents of the visual content. Different punchouts of the visual content may be presented based on the different viewing windows. Individual punchout of the visual content may include the set of extents of the visual content defined by corresponding viewing window.

Abstract: Systems, apparatus, and methods for encoding timelapse videos. Timelapse photography involves capturing a sequence of images at set intervals over a period of time and then playing them back at a higher speed. Unfortunately, timelapse photography introduces a variety of problems that conventional photography does not have. Exemplary embodiments capture light information in a power efficient manner and encode them in bulk (a video segment at a time). In some variants, the light information may be stored as raw data; in other variants, the light information may be stored as compressed images. The segment-based encoding has the additional benefit of creating identifiable breakpoints that allow for file access without interfering with the capture; this may be used to check the status of the video mid-recording.

Abstract: An image signal processor accesses raw images from an image sensor. The image signal processor obtains adaptive acquisition control data for the raw images. The adaptive acquisition control data comprises at least one of a luminance value, a contrast value, a gain value, an exposure value, or a white balance value. The image signal processor obtains, in accordance with the adaptive acquisition control data, an indication of whether to use a star trails scene classification for the raw images. The image signal processor transmits, to buffers for storing data in accordance with the raw images, the indication of whether to use the star trails scene classification.

Abstract: Systems, apparatus, and methods for adding post-processing motion blur to video. Conventional post-processing techniques relied on the filmmaker to select and stage their shots. Different motion blur techniques were designed to fix certain types of footage. Vector blur is one technique that “smears” pixel information in the direction of movement. Frame interpolation and stacking attempts to create motion blur by stacking interpolated frames together. Each technique has its own set of limitations. Various embodiments use a combination of motion blur techniques in post-processing for better, more realistic outcomes with faster/more efficient rendering times. In some cases, this may enable adaptive quality post-processing that may be performed in mobile/embedded ecosystems.

Abstract: Systems, apparatus, and methods for super-resolution of non-uniform spatial blur. Non-uniform spatial blur presents unique challenges for conventional neural network processing. Existing implementations attempt to handle super-resolution with a “brute force” optimization. Various embodiments of the present disclosure subdivide the super-resolution function into sub-steps. “Unfolding” super-resolution into smaller closed-form functions allows for operation using generic plug-and-play convolutional neural network (CNN) logic. Additionally, each step can be optimized with its own step-specific hyper parameters to improve performance.

Abstract: Systems and methods are disclosed for sensor prioritization for composite image capture. For example, methods may include selecting an image sensor as a prioritized sensor from among an array of two or more image sensors; determining one or more image processing parameters based on one or more images captured using the prioritized sensor; applying image processing using the one or more image processing parameters to images captured with each image sensor in the array of two or more image sensors to obtain respective processed images for the array of two or more image sensors; and stitching the respective processed images for the array of two or more image sensors to obtain a composite image.

Abstract: A video may be framed using information on the direction of gravity and the direction of north with respect to an image capture device during video capture, information on changes in the orientation of the image capture device during video capture, and information on the direction of motion of the image capture device during video capture. The changes in the orientation of the image capture device may be in an image capture device reference frame, and the direction of motion of the image capture device may be in the earth reference frame. The changes in the orientation of the image capture device and the direction of motion of the image capture device may be merged into a single reference frame using the direction of gravity and the direction of north with respect to the image capture device, and the video may be framed in the single reference frame to include the extents of the video in the direction of the motion of the image capture device during video capture.

Abstract: The present disclosure relates to a helmet including a shell, a housing comprising a front panel and a rear panel that form a chin portion of the shell, an electronic board disposed within the housing, a battery disposed within the housing and coupled to the electronic board, a camera disposed within the housing and coupled to the electronic board and the battery. The camera comprises a lens that extends through the front panel of the housing. The housing is embedded within an external profile shape of the helmet.

Abstract: An image capture device is disclosed that includes: a body; a first integrated sensor-lens assembly (ISLA) that is supported by the body and which is oriented in a first direction; and a second ISLA that is supported by the body and which is oriented in a second direction that is opposite to the first direction. The first ISLA and the second ISLA are each configured in a tilted orientation so as to define first and second stitch distances that are unequal, which inhibits (if not entirely prevents) the inclusion of extraneous objects in the captured content and improves the overall quality of the (spherical) image that is ultimately output (generated) by the image capture device.