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.

An aerial camera system is disclosed that comprises at least one camera arranged to capture a plurality of successive images. Each camera including at least one respective image sensor, and the field of view of each camera is movable in a substantially transverse direction across a region of the ground. The system also includes a stabilisation assembly associated with each camera that has at least one steering mirror. The steering mirror is controllably movable so as to translate the optical axis of the camera relative to the at least one image sensor in synchronization with image capture, so as to effect stabilisation of an image on the at least one image sensor during image capture as the field of view of the camera moves in a substantially transverse direction across a region of the ground. The system is arranged to control the at least one camera to capture successive images at defined intervals as the field of view of the camera moves in a substantially transverse direction across a region of the ground.

A camera mode to use for capturing an image or video is selected by estimating high dynamic range (HDR), motion, and light intensity with respect to a scene of the image or video to capture. An image capture device includes a HDR estimation unit to detect whether HDR is present in a scene of an image to capture, a motion estimation unit to determine whether motion is detected within the scene, and a light intensity estimation unit to determine whether a scene luminance for the scene meets a threshold. A mode selection unit selects a camera mode to use for capturing the image based on output of the HDR estimation unit, the motion estimation unit, and the light intensity estimation unit. An image sensor captures the image according to the selected camera mode.

Systems and methods for processing one or more images include determining one or more current exposure settings for a current image of a current scene at a current time. One or more motion characteristics associated with an image sensor are determined. Based on the one or more motion characteristics, a location of a portion of the current image to use for determining one or more future exposure settings for the image sensor are determined, the one or more future exposure settings for capturing a future image of a future scene at a future time, the future time being subsequent to the current time. The one or more future exposure settings are determined based on the predicted portion of the current image.

A control apparatus includes a focus detecting unit configured to detect a defocus amount, a continuity determining unit configured to determine a continuity of a focus detection result, a characteristic detecting unit configured to detect characteristics of a main object and of surroundings of the main object, a controlling unit configured to change a parameter relating to a tracking operation based on the characteristics during the tracking operation and a focus adjusting unit configured to perform a focus adjustment based on the defocus amount, the continuity of the focus detection result and the parameter.

An image stabilization apparatus used in an image capturing apparatus that includes a display unit and which causes the display unit to display a still image captured by the image capturing apparatus by following a moving main object comprises a control unit configured to control the display unit so as to extract an area for the main object from an image captured by the image capturing apparatus and to display the extracted area and a calculating unit configured to calculate a motion of the main object based on a blur detected by a first detector which detects the blur of the image capturing apparatus and a motion vector detected by a second detector which detects the motion vector from the image, wherein the control unit changes the area for the main object based on the motion of the main object before the still image is captured.

A method and apparatus for capturing digital video includes displaying a preview of a field of view of the imaging device in a user interface of the imaging device. A sequence of images is captured. A main subject and a background in the sequence of images is determined, wherein the main subject is different than the background. A sequence of modified images for use in a final video is obtained, wherein each modified image is obtained by combining two or more images of the sequence of images such that the main subject in the modified image is blur free and the background is blurred. The sequence of modified images is combined to obtain the final video, which is stored in a memory of the imaging device, and displayed in the user interface.

The method includes in order to generate a composite image: identifying, in the frame of a video stream captured by a camera, a motion characteristic associated with moving objects in a scene while the camera captured a sliding window of the video stream. The method includes for a plurality of frames in the sliding window: controlling, by the processing circuitry, a weight of blending of the frame based on the identified motion characteristic to enable the composite image to be generated according to the controlled weights of blending of the plurality of frames in the sliding window.

Example implementations include a method, apparatus and computer-readable medium for controlling a camera, comprising receiving a video sequence of a scene. The method includes determining one or more scene description metadata in the scene from the video sequence. The method includes identifying one or more scene object types in the scene based on the one or more scene description metadata. The method includes determining one or more rules based on one or both of the scene description metadata or the scene object types, each rule configured to generate an event based on a detected object following a rule-specific pattern of behavior. The method includes applying the one or more rules to operation of the camera.

Disclosed are an electronic device and a method of controlling the same. An electronic device includes: a camera; a sensor module; and a processor, wherein the processor is configured to determine at least one of a movement of the electronic device and a movement of an object in images acquired by the camera, determine, based on the movement of the electronic device or the movement of the object, an output period for light outputted by the sensor module, and determine depth information of the images based on reflected light corresponding to the outputted light received by the camera.