Abstract: A graphical user interface for framing a video may include a framing element. Responsive to user interaction with the framing element, a framing of the video at a moment may be determined. The framing of the video may define viewing direction, viewing size, viewing rotation, and/or viewing projection for a viewing window. The framing of the video at the moment may be determined based on how the video is being presented when the user interacted with the framing element.

Abstract: A graphical user interface for trimming a video may include a timeline representation of a duration of the video. A trim duration for the video may be selected based on movement of the timeline representation. The amount of time represented by a portion of the timeline representation may be independent of the duration of the video. The movement of the timeline representation may correspond to moment through the duration of the video at a constant scale regardless of the duration of the video.

Abstract: Methods and systems for detecting and monitoring memory card performance characteristics. A method for detecting memory card performance characteristics includes obtaining at least one memory card performance characteristic from a memory card when the memory card is inserted in an image capture device, determining whether the at least one memory card performance characteristic meets a defined image capture device requirement, and providing an alert when the at least one memory card performance characteristic fails to match the defined image capture device requirement.

Abstract: An image capture device detects a wind whistle using two or more microphones. The image capture device includes a processor that obtains microphone signals from the two or more microphones and measures coherence values between the microphone signals across a frequency band. The frequency band includes frequency bins, and the processor measures a coherence value for each frequency bin. Based on a detection of an elevated coherence value in a frequency bin, the processor determines the presence of a whistle. The processor attenuates the frequency bin based on a determination that the elevated coherence value is above a threshold.

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. The size of the punchout of the video may be changed based on different rotational positions of to provide a view that includes different extents of the captured visual content. The changes in the size of the punchout may simulate changes in zoom of the visual content.

Abstract: An aerial vehicle, comprising: one or more motors, one or more sensors, and a flight sub-system. The one or more sensors configured to detect data. The flight sub-system includes an attitude controller module; a rate controller module; and a compensator module. The compensator module is configured to: determine a maximum RPM of the one or more motors or a maximum torque of the one or more motors; receive a torque vector from the rate controller module; determine a rotational speed of the one or more motors to generate a desired flight orientation based upon the torque vector; and consider sensor data from the one or more sensors to adjust the rotational speed of the one or more motors.

Abstract: An image capture device including a bayonet, an integrated sensor and lens assembly (ISLA), and fasteners. The bayonet includes a mounting flange that connects the bayonet to a first surface the image capture device, a central portion, and connection recesses located within the central portion. The ISLA includes: a forward end that aligns with the connection recesses; a rearward end; internal lenses located within the ISLA and being aligned along an optical axis; and an integrated sensor connected to the rearward end and located along the optical axis. The fasteners extending through the central portion into the forward end of the lens assembly to connect the ISLA to the bayonet.

Abstract: Apparatus and methods for the stitch zone calculation of a generated projection of a spherical image. In one embodiment, a non-transitory computer-readable apparatus comprising a storage apparatus, the storage apparatus comprising instructions configured to, when executed by a processor apparatus, cause a computerized apparatus to identify a stitch line associated with an equatorial area of a plurality of spherical images; re-orient the plurality of spherical images in accordance with the stitch line; and project the re-oriented plurality of spherical images to a selected image projection type.

Abstract: Ultrasonic ranging state management for a UAV is described. A transducer transmits an ultrasonic signal and receives an ultrasonic response thereto using a gain value. A noise floor estimation mechanism determines a noise floor estimate. A state mechanism sets an ultrasonic ranging state used by the transducer to a first ultrasonic ranging state. The transducer transmits an ultrasonic signal and responsively receive an ultrasonic response to the ultrasonic signal using a gain value according to the noise floor estimate. The state mechanism processes the ultrasonic response to determine whether to determine a new noise floor estimate, adjust the gain value used by the transducer, or change the ultrasonic ranging state of the UAV to a second ultrasonic ranging state. The configurations of the first and second ultrasonic ranging states differ as to, for example, power and gain levels used by the transducer to receive ultrasonic responses.

Abstract: Multiple single lens distortion regions and one or more boundary regions may be determined within an image. Individual single lens distortion regions may have pixel displacement defined by a single lens distortion and individual boundary regions may have pixel displacement defined by a blend of at least two lens distortions. Multiple lens distortions may be simulated within the image by shifting pixels of the image input positions to output positions based on locations of pixels within a single lens distortion region and the corresponding single lens distortion or within a boundary region and a blend of corresponding lens distortions.

Abstract: An image capture device may include an optical element through which visual content is captured. The image capture device may detect presence of a drop of liquid on the optical element during capture of the visual content. The image capture device may effectuate removal of the drop of liquid from the optical element.

Abstract: Visual content is captured by an image capture device during a capture duration. The image capture devices experiences motion during the capture duration. The intentionality of the motion of the image capture device is determined based on angular acceleration of the image capture device during the capture duration. A punchout of the visual content is determined based on the intentionality of the motion of the image capture device. The punchout of the visual content is used to generate stabilized visual content.

Abstract: Systems and methods are disclosed for high dynamic range anti-ghosting and fusion. For example, methods may include receiving images from image sensors in a linear domain, each image having different exposures or gains, blending luminance values at each pixel from each of the images to generate a blended image, selecting an useful image based on degree of useful information for a pixel, calculating a distance value from the images for the pixel, locating from a look-up table (LUT) an anti-ghosting weight using the useful image and the distance value for the pixel, proportionally applying the located anti-ghosting weight to the pixel for each of the input images to generate an output image, all being performed in the linear domain, and storing, displaying, or transmitting the output image based on at least the anti-ghosting weight.

Abstract: A video edit may include two videos arranged in a sequence. Motion within the one or both of the videos may be assessed. A transition effect may be selected based on the motion assessed within the video(s), and the video edit may be modified to include the transition effect between the videos. The transition effect may emphasize the motion assessed within the video(s) and/or create continuity of motion during transition between the two videos within the video edit.

Abstract: Methods and apparatus for image processing of spherical content via hardware acceleration components. In one embodiment, an EAC image is subdivided into facets via existing software addressing and written into the memory buffers (normally used for rectilinear cubemaps) in a graphics processing unit (GPU). The EAC facets may be translated, rotated, and/or mirrored so as to align with the expected three-dimensional (3D) coordinate space. The GPU may use existing hardware accelerator logic, parallelization, and/or addressing logic to greatly improve 3D image processing effects (such as a multi-band blend using Gaussian blurs.

Abstract: An image capture device may experience motion while capturing a video. A video clip may be generated from the video. The beginning of the video clip may be identified based on acceleration of the image capture device during capture of the video, while the ending of the video clip may be identified based on speed of the image capture device during capture of the video.

Abstract: Visual content that includes spatial portions is obtained. A determination is made that one of the spatial portions includes a face. Based on the determination, encoding quality parameters for the one of the spatial portions is identified. The encoding quality parameters are obtained by combining a first distortion model related to the obtaining the visual content with a second model that emphasizes the one of the spatial portions The visual content is encoded. The encoding quality parameters are stored, in association with but separate from, the one of the spatial portions. After decoding, the one of the spatial portions are rendered based on the encoding quality parameters. The encoding quality parameters are obtained by combining a first distortion model related to the obtaining the visual content with a second model that emphasizes the one of the spatial portions.