Abstract: A video may include a capture of a scene, such as a wide-field of view capture of the scene. Context of the video may be assessed and used to suggest framing of the video. The framing of the video may be presented within a user interface. A user may select, through the user interface, the framing to be used in generating presentation of the video.

Abstract: A video including visual content may be captured by an image capture device in motion. Stabilization performance information for the visual content may be determined. The stabilization performance information may characterize an extent to which desired stabilization is able to be performed using the visual content. The stabilization for the visual content may be changed based on the stabilization performance information.

Abstract: An accessory is attached to an image capture device to augment, change, support, supplement, or modify the operation of the image capture device. Attachment of the accessory to the image capture device is detected by the image capture device, and the image capture device provides information on the attachment of the accessory.

Abstract: Adaptive acquisition control including limited luminance motion blur reduction for image and video acquisition and processing includes obtaining a target gain value and a target exposure duration value by obtaining a current scene luminance value, obtaining a current maximum gain using the current scene luminance value, obtaining a current interpolated gain-exposure duration curve using the current maximum gain and a current angular speed value, and obtaining the target gain value and the target exposure duration value from the current interpolated gain-exposure duration curve in accordance with a current maximum exposure duration. Adaptive acquisition control including limited luminance motion blur reduction for image and video acquisition and processing includes obtaining a frame of a video in accordance with the target scene exposition data and outputting the video.

Abstract: Systems and methods are disclosed for image signal processing. For example, methods may include, receiving an image from an image sensor; storing a sequence of images captured after the image in a buffer; determining an orientation error between the orientation of the image sensor and an orientation setpoint during capture of the image; determining a rotation corresponding to the orientation error based on orientation estimates from the sequence of orientation estimates corresponding to the sequence of images; and invoking an electronic image stabilization module to correct the image to obtain a stabilized image, in which the electronic image stabilization module corrects the image for the rotation corresponding to the orientation error.

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.