Abstract: A video may be captured by an image capture device in motion. A horizon-leveled view of the video may be generated by providing a punchout of the video. The punchout of the video may compensate for rotation of the image capture device during capture of the video. The placement of the punchout of the video may be changed based on different rotational positions of to provide a view in which a horizon depicted within the video is leveled.

Abstract: Systems, apparatus, and methods for selectively parsing a live stream for a connected device. GoPro® cameras capture 2 video streams for every recording: a main resolution video (MRV) and a frame aligned low-resolution video (LRV). Currently, the LRV is streamed to other devices for playback in real-time. Unfortunately, not all devices in the mobile ecosystem can keep up with these transfer and playback speeds of the LRV; thus, exemplary embodiments of the present disclosure pick frames from the LRV to provide an IDR-only version that can be replayed with minimal processing burden. As a related issue, operating codecs in parallel at different resolutions can result in misaligned frame structures since each codec independently determines its “group of pictures” (GOP), etc. The described techniques define a frame correspondence that can also be used to improve post-processing at best effort.

Abstract: Systems and methods are disclosed for image signal processing. For example, methods may include receiving an image from an image sensor, detecting, in a linear domain, color fringing areas in the image, correcting detected color fringing areas to obtain a corrected image, performing tone mapping to the corrected image to obtain a tone mapped image and storing, displaying, or transmitting an output image based on at least the tone mapped image.

Abstract: An image capture device may capture content (e.g., visual content, audio content). After the content has been captured, a user may interact with the image capture device to mark the captured content. The content previously captured by the image capture device may be marked (e.g., highlighted, favorited, ranked) without requiring the user to review (e.g., view, listen to) the captured content.

Abstract: A computer accesses a feed of image frames from a camera. The computer determines, based on at least a first image frame from the feed, electronic image stabilization (EIS) data, and internal motion unit (IMU) data, a future image height. The computer enables or disables, for at least a second image frame from the feed, image lines on a sensor of the camera to obtain the determined future image height.

Abstract: Systems, apparatus, and methods for stabilization and blending of exposures. So-called Electronic Image Stabilization (EIS) techniques use image manipulation software to compensate for camera motion. Unfortunately, existing EIS techniques cannot compensate for artifacts introduced by low shutter speed (e.g., blurs). Various embodiments of the present disclosure generate stabilized images from multiple exposures. In one exemplary embodiment, the stabilized exposures are blended using a linear sum of the color data for each pixel of the image. By stabilizing each exposure and linearly summing the light information, the camera shake can be removed, and the scene motion blur can be controlled. The stabilization and blending techniques enable a mathematical emulation of a selected shutter angle from many high-speed exposures.

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 includes a first housing, a second housing, a first integrated sensor-lens assembly (ISLA), and a second ISLA. The second housing is coupled to the first housing to form an internal compartment. The first ISLA includes a first image sensor coupled to a first lens in fixed alignment. The second ISLA includes a second image sensor coupled to a second lens in fixed alignment. The first ISLA is positively statically connected to the first housing, and the second ISLA is coupled to the first housing indirectly via the first ISLA.

Abstract: An image capture apparatus with a first image sensor and lens assembly (first ISLA), a second image sensor and lens assembly (second ISLA); a connector module, and a front connector. The connector module connects the first ISLA and the second ISLA are in a back-to-back configuration. The front connector is connected to the connector module via fasteners that extend into the front connector and the connector module in a direction from the first ISLA towards the second ISLA so that the first ISLA and the second ISLA are connected within the image capture device.

Abstract: A video edit may include one or more segment of a video. A graphical user interface may convey information that indicates video editing decisions made to generate the video edit. The graphical user interface may include a timeline element to represent the length of the video and one or more inclusion elements to visually indicate the segment(s) of the video included in the video edit. The graphical user interface may convey information on the segment(s) of the video that have been automatically included in the video edit and the segment(s) of the video that have been manually included in the video edit.

Abstract: Positions of an image capture device during capture of a video may be transferred to a computing device before the video is transferred to the computing device. The positions of the image capture device may be used to determine a viewing window for the video before the video is obtained. The viewing window may be used to present a stabilized view of the video when the video is obtained. For example, a stabilized view of the video may be presented as the video is streamed to the computing device.

Abstract: An object may be tracked through a video using the sizes of objects depicted in the video. The size of an object to be tracked (tracking object) may be determined using the depiction of the tracking object in a video frame. In a subsequent video frame, an object that has (1) a size that is closest to the tracking size, and (2) a size that differs from the tracking size by less than a threshold amount may be identified to be the tracking object. The tracking size may be updated with the size of the object identified to be the tracking object for use in the next video frame. This enables objects to be tracked simply and quickly by using the sizes of objects. The video frames may be framed for presentation using the positions of the tracking object in the video frames.

Abstract: A coupler (mount) is disclosed that is configured to releasably connect an image capture device and an accessory. The coupler includes a shaft and a lever that is operatively connected to the shaft, and is repositionable between unlocked and locked positions as well as between disengaged and engaged positions. When the coupler is in the unlocked positioned, the image capture device and the accessory are movable in relation to each other, and when the coupler is in the locked positioned, the image capture device and the accessory are fixed in relation to each other. When the coupler is in the disengaged position, the shaft is removable from the image capture device and the accessory, and when the coupler is in the engaged position, the shaft is non-removable from the image capture device and the accessory.

Abstract: An image capture device that includes a housing; a heat generating component enclosed by internal surfaces of the housing; and a first heatsink and a second heatsink that are each simultaneously and thermally connected with the heat generating component. One or both of the first and second heatsinks positioned on an external surface of the housing.

Abstract: A lens adapter is attached to an image capture device to lower the profile of the image capture device when mounted to a mounting device. The lens adapter includes a lens that refracts light incident from an outer lens of the lens adapter into collimated light. The lens adapter includes an optical device that alters the direction of the collimated light and directs the collimated light to an image capture device lens assembly.

Abstract: An image capture device including: heat generating devices, one or more batteries, and a sensor heat spreader. The heat generating devices generate a thermal load. The sensor heat spreader is in thermal communication with one or more of the heat generating devices and extends from the one or more of the heat generating devices to the one or more batteries so that all or a portion of the thermal load is transferred to the one or more batteries.

Abstract: The present disclosure relates to methods and systems for providing alerts to a helmet user. A method includes determining a current location of the user, determining a transit area and a transit direction of the user based on the current location, retrieving records of transit alerts based on the transit area of the user, selecting relevant transit alerts from the records of transit alerts based on the transit direction of the user, and alerting the user of the relevant transit alerts.

Abstract: A video may be captured by an image capture device in motion. A stabilized view of the video may be generated by providing a punchout of the video. The punchout of the video may compensate for rotation of the image capture device during capture of the video. Different field of view punchouts, such as wide field of view punchout and linear field of view punchout, may be used to stabilize the video. Different field of view punchouts may provide different stabilization margins to stabilize the video. The video may be stabilized by switching between different field of view punchouts based on the amount of stabilization margin needed to stabilize the video.

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 includes a lens barrel disposed in a body of the image capture device and an adjustable lens module coupled to the lens barrel. The adjustable lens module includes a housing, an external ring, an internal ring, and an internal movable barrel. The external ring is coupled to the housing and configured to rotate about an optical axis. The internal ring is coupled to the housing and configured to rotate about the optical axis based upon rotation of the external ring about the optical axis. The internal movable barrel includes a movable internal lens, is coupled to the internal ring, and is configured to move axially along the optical axis based upon rotation of the internal ring.

Abstract: An image capture device captures video frames using a capture rate. The image capture device performs face detection on the video frames using a face detection rate slower than the capture rate. Temporal filtering is applied to determine the positions and sizes of the faces within the video frames in which face detection has not been performed. Tracking filtering is applied to determine the positions and sizes of the faces within the video frames in which face detection has failed. One or more of the faces within the video frames are blurred, and the blurred video frames are transmitted to a computing device.

Abstract: Methods and apparatus for post-processing in-camera stabilized video. Embodiments of the present disclosure reconstruct and re-stabilize an in-camera stabilized video to provide for improved stabilization (e.g., a wider crop, etc.). In-camera sensor data may be stored and used to re-calculate orientation metadata in post-production. In-camera stabilization provides several benefits (e.g., the ability to share stabilized videos from the camera without additional post-processing as well as reduced file sizes of the shared videos). Camera-aware post-processing can reuse portions of the in-camera stabilized videos while providing additional benefits (e.g., the ability to regenerate the original captured videos in post-production and re-stabilize the videos). Camera-aware post-processing can also improve orientation metadata and remove sensor error. The disclosed techniques also enable assisted optical flow-based stabilization using the refined metadata.

Abstract: Modular lens assemblies and mounting systems are disclosed. A modular lens assembly includes a removable portion and a fixed portion. The removable portion includes a first lens stack configured to produce a near-collimated ray path or a collimated ray path. The fixed portion includes a second lens stack configured to receive the near-collimated ray path or the collimated ray path from the removable portion. The modular lens assembly may be implemented in an image capture device. An image sensor of the image capture device is positioned at an end of the modular lens assembly. The image sensor is configured to capture images based on light incident on the image sensor through the first lens stack and the second lens stack such that the light incident on an outer lens of the first lens stack is refracted through the second lens stack to the image sensor.

Abstract: An image capture device may include an electronic display. A graphical user interface may be presented on the electronic display. The graphical user interface may provide a dynamic view of the settings of the image capture device. Settings shown within the graphical user interface may dynamically change to show the available settings of the image capture device.

Abstract: An image capture apparatus may include an image sensor, a motion sensor, and an auto-exposure unit. The auto-exposure unit may obtain an input image captured during an exposure interval and corresponding motion data indicating motion of the image capture apparatus during the exposure interval. The auto-exposure unit may obtain image information-amount data for the input image. The auto-exposure unit may obtain derivative information-amount data based on the information-amount data and a candidate exposure adjustment. The auto-exposure unit may obtain an information-amount maximizing exposure interval based on the information-amount data and the derivative information-amount data. The image capture apparats may control the image sensor to obtain a subsequent input image signal representing a subsequent input image captured during the information-amount maximizing exposure interval, and output or store information representing the subsequent input image.

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: 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: 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.