The present disclosure provides systems and methods that use and/or generate image files according to a novel microvideo image format. For example, a microvideo can be a file that contains both a still image and a brief video. The microvideo can include multiple tracks, such as, for example, a separate video track, audio track, and/or one or more metadata tracks. As one example track, the microvideo can include a motion data track that stores motion data that can be used (e.g., at file runtime) to stabilize the video frames. A microvideo generation system included in an image capture device can determine a trimming of the video on-the-fly as the image capture device captures the microvideo.

An optical unit may include a movable body, a turning support mechanism turnably supporting the movable body around an optical axis, a gimbal mechanism turnably supporting the turning support mechanism, and a fixed body. The turning support mechanism includes a plate roll fixed to the movable body, a plate holder having a facing part facing the plate roll in the optical axis direction and is turnably supported by the gimbal mechanism, spherical bodies disposed between the plate roll and the facing part, and a magnetic attraction mechanism for generating an attraction force so that the plate roll and the facing part approach each other in the optical axis direction. The magnetic attraction mechanism includes an attraction part provided in one of the plate roll and the plate holder and an attracted part provided in the other, and the attraction part includes a magnet.

An image capturing apparatus that has an image capturing device including polarization elements and sets a proper frame rate according to a situation when acquiring a video using polarization information. The image capturing device an image capturing device including polarization pixels that detect polarization information of a plurality of different directions. The polarization information of the polarization pixels is determined by performing first polarization calculation or second polarization calculation which is smaller in calculation load than the first polarization calculation, on video signals output from the polarization pixels. A polarization-processed image is generated by using the polarization information. The first polarization calculation and the second polarization calculation are switched according to a predetermined timing, a mode, or a result of detecting a predetermined state.

A target image captured from a fisheye lens or other lens with known distortion parameters may be transformed to align it to a reference image. Corresponding features may be detected in the target image and the reference image. The features may be transformed to a spherical coordinate space. In the spherical space, images may be re-pointed or rotated in three dimensions to align all or a subset of the features of the target image to the corresponding features of the reference image. For example, in a sequence of images, background features of the target image in the spherical image space may be aligned to background features of the reference image in the spherical image space to compensate for camera motion while preserving foreground motion. An inverse transformation may then be applied to bring the images back into the original image space.

An apparatus includes a control unit configured to control a pan drive unit or a tilt drive unit to change a capturing direction of a pickup unit, a detection unit configured to detect shaking to the pickup unit, and a determination unit configured to perform determination processing for determining whether or not a turn angle of the pan drive unit or the tilt drive unit is normal, in which in a case where the detection unit detects the shaking, the control unit executes the control of the pan drive unit or the tilt drive unit based on the detected shaking so that the detected shaking is to be reduced, and the determination unit performs the determination processing according to whether or not the control unit executes the control of the pan drive unit or the tilt drive unit based on the detected shaking.

The image blur correction device includes an acceleration sensor, an angular velocity sensor, and a system control unit. The system control unit selects one of rotation axes based on a usage state of a digital camera, and calculates a shift blur amount generated in a direction by rotation of the digital camera around a second axis and a shift blur amount generated in a direction by rotation of the digital camera around a first axis based on distances from the selected rotation axis to the acceleration sensor, angular velocities, and accelerations.

Systems and techniques are provided for processing one or more frames. For example, a process can include obtaining a first plurality of frames associated with a first settings domain from an image capture system, wherein the first plurality of frames is captured prior to obtaining a capture input. The process can include obtaining a reference frame associated with a second settings domain from the image capture system, wherein the reference frame is captured proximate to obtaining the capture input. The process can include obtaining a second plurality of frames associated with the second settings domain from the image capture system, wherein the second plurality of frames is captured after the reference frame. The process can include, based on the reference frame, transforming at least a portion of the first plurality of frames to generate a transformed plurality of frames associated with the second settings domain.

A method, system, apparatus, and/or device for adjusting or removing frames in a set of frames. The method, system, apparatus, and/or device may include: associating a first frame of a set of frames with motion data that is captured approximately contemporaneously with the first frame; when a sampling rate of the motion data is greater than a frame rate of the set of frames, aggregating a first sample of the motion data captured at the first frame and a second sample of the motion data captured between the first frame and a second frame of the set of frames to obtain a movement value; when the movement value does not exceed a first threshold value, accepting the first frame from the set of frames; and when the movement value exceeds the first threshold value, rejecting the first frame from the set of frames.

A camera microcomputer of an imaging device determines a feature region of an object according to information on a moving direction of the object with respect to the imaging device. Then, the camera microcomputer determines a reference region for correcting image blur related to the object on the basis of a motion vector of the object related to the feature region obtained on the basis of a motion between a plurality of images.

A method of de-smearing an image includes capturing image data from an imaging sensor and collecting motion data indicative of motion of the sensor while capturing the image data. The motion data is collected at a higher frequency than an exposure frequency at which the image data is captured. The method includes modeling motion of the sensor based on the motion data, wherein motion is modeled at the higher frequency than the exposure frequency. The method also includes modeling optical blur for the image data, modeling noise for the image data, and forming a de-smeared image as a function of the modeled motion, the modeled blur, and the modeled noise, and the image data captured from the imaging sensor.