Abstract:
A cloud video system selectively uploads a high-resolution video and instructs one or more client devices to perform distributed processing on the high-resolution video. A client device registers high-resolution videos accessed by the client device from a camera communicatively coupled to the client device. A portion of interest within a low-resolution video transcoded from the high-resolution video is selected. A task list is generated specifying the selected portion of the high-resolution video and at least one task to perform on the portion of the high-resolution video. Commands are transmitted to prompt the client device to perform the at least one task on the specified portion of the high-resolution video according to the task list. The specified portion of the high-resolution video is modified according to the task list and uploaded to the cloud. Example tasks include transcoding, applying edits, extracting metadata, and generating highlight tags.
Abstract:
A pair of cameras having an overlapping field of view is aligned based on images captured by image sensors of the pair of cameras. A pixel shift is identified between the images. Based on the identified pixel shift, a calibration is applied to one or both of the pair of cameras. To determine the pixel shift, the camera applies correlation methods including edge matching. Calibrating the pair of cameras may include adjusting a read window on an image sensor. The pixel shift can also be used to determine a time lag, which can be used to synchronize subsequent image captures.
Abstract:
An image sensor of a camera system captures an image over an image capture interval of time, and waits a blanking interval of time before capturing an additional image. The captured image is provided to a frame controller, and is buffered until an image signal processor accesses the captured image. The image signal processor processes the accessed image over an image processing interval of time, producing a processed image. The image processing interval of time is selected to be greater than the image capture interval of time, but less than the sum of the image capture interval of time and the blanking interval of time. By reducing the image capture interval of time but maintaining an image processing interval of time, rolling shutter artifacts are beneficially reduced without increasing the processing resources or power required by the image signal processor to process the image.
Abstract:
Video and corresponding metadata is accessed. Events of interest within the video are identified based on the corresponding metadata, and best scenes are identified based on the identified events of interest. A video summary can be generated including one or more of the identified best scenes. The video summary can be generated using a video summary template with slots corresponding to video clips selected from among sets of candidate video clips. Best scenes can also be identified by receiving an indication of an event of interest within video from a user during the capture of the video. Metadata patterns representing activities identified within video clips can be identified within other videos, which can subsequently be associated with the identified activities.
Abstract:
A pair of cameras having an overlapping field of view is aligned based on images captured by image sensors of the pair of cameras. A pixel shift is identified between the images. Based on the identified pixel shift, a calibration is applied to one or both of the pair of cameras. To determine the pixel shift, the camera applies correlation methods including edge matching. Calibrating the pair of cameras may include adjusting a read window on an image sensor. The pixel shift can also be used to determine a time lag, which can be used to synchronize subsequent image captures.