Abstract:
Systems, methods, and computer readable media to improve image stabilization operations are described. Novel approaches for fusing non- reference images with a pre-selected reference frame in a set of commonly captured images are disclosed. The fusing approach may use a soft transition by using a weighted average for ghost/non-ghost pixels to avoid sudden transition between neighborhood and almost similar pixels. Additionally, the ghost/non-ghost decision can be made based on a set of neighboring pixels rather than independently for each pixel. An alternative approach may involve performing a multi-resolution decomposition of all the captured images, using temporal fusion, spatio-temporal fusion, or combinations thereof, at each level and combining the different levels to generate an output image.
Abstract:
An apparatus, method, and computer-readable medium for motion sensor-based video stabilization. A motion sensor may capture motion data of a video sequence. A controller may compute instantaneous motion of the camera for a current frame of the video sequence and accumulated motion of the camera corresponding to motion of a plurality of frames of the video sequence. The controller may compare the instantaneous motion to a first threshold value, compare the accumulated motion to a second threshold value, and set a video stabilization strength parameter for the current frame based on the results of the comparison. A video stabilization unit may perform video stabilization on the current frame according to the frame's strength parameter.
Abstract:
The present disclosure generally relates to user interface for capturing and managing media (e.g., photo media, video media). In some examples, user interfaces for capturing media (e.g., photo media, video media) are described. In some examples, user interfaces for displaying camera controls and indicators are described. In some examples, user interfaces for adjusting media (e.g., photo media (e.g., a sequence of images, a single image), video media) are described. In some examples, user interfaces for managing the file format of media (e.g., photo, video media) are described. In some examples, user interfaces for storing media (photo media (e.g., a sequences of image, a single still image), video media) are described.
Abstract:
Systems, methods, and computer readable media for stitching or aligning multiple images (or portions of images) to generate a panoramic image are described. In general, techniques are disclosed for using motion data (captured at substantially the same time as image data) to align images rather than performing image analysis and/or registration operations. More particularly, motion data may be used to identify the rotational change between successive images. The identified rotational change, in turn, may be used to calculate a motion vector that describes the change in position between a point in a first image and a corresponding point in a subsequent image. The motion vector may be utilized to align successive images in an image sequence based on the motion data associated with the images.
Abstract:
An apparatus, method, and computer-readable medium for motion sensor-based video stabilization. A motion sensor may capture motion data of a video sequence. A controller may compute average motion data of the camera used to capture the video sequence based on motion data from the motion sensor. The controller may then determine the difference between the actual camera motion and the average camera motion to set a video stabilization strength parameter for the frames in the video sequence. A video stabilization unit may utilize the strength parameter to stabilize the frames in the video sequence.