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:
Traditionally, time-lapse videos are constructed from images captured at time intervals called "temporal points of interests" or "temporal POIs." Disclosed herein are systems and methods of constructing improved, motion-stabilized time-lapse videos using temporal points of interest and image similarity comparisons. According to some embodiments, a "burst" of images may be captured, centered around the aforementioned temporal points of interest. Then, each burst sequence of images may be analyzed, e.g., by performing an image similarity comparison between each image in the burst sequence and the image selected at the previous temporal point of interest. Selecting the image from a given burst that is most similar to the previous selected image, while minimizing the amount of motion with the previous selected image, allows the system to improve the quality of the resultant time-lapse video by discarding "outlier" or other undesirable images captured in the burst sequence and motion stabilizing the selected image.