Abstract: A target image is obtained from a cloud database based on reference information associated with a source image that is captured by an image capture device. The target image is blended with the source image to generate a blended image.

Abstract: Systems (490), methods (340), and machine-readable and executable instructions (428) are provided for depth mask assisted video stabilization. Depth mask assisted video stabilization can include creating a first depth mask from a first frame (101, 201) and a second depth mask from a second frame (102, 202) to obtain depth information (342) and defining a first list of feature points (111-1a, 111-2a, 111-3a, 111-4a, 113-1a, 113-2a, 113-3a, 113-4a, 113-5a) from the first frame (101, 201) and a second list of feature points (111-1b, 111-2b, 111-3b, 111-4b, 113-1b, 113-2b, 113-3b, 113-4b, 113-5b) from the second frame (102, 202) (344).

Abstract: A focus lens is moved to a position within a range of focus lens positions. A video frame is captured with the focus lens at that position. The magnification of the first video frame is altered according to a maximum magnification threshold associated with the range of focus lens positions.

Abstract: A lens on an image capture device is illuminated with a known light source. The current light field created by illuminating the lens is measured at an image sensor on the device. In response to detecting that the current light field measurement fails to satisfy a threshold, a notification is provided on the device.

Abstract: Example embodiments disclosed herein relate to an imaging device and method. One example of such an imaging device includes a focus imaging unit and a camera imaging unit. The camera imaging unit is separate from the focus imaging unit and is configured to record an image. The imaging device additionally includes a focusing unit coupled to the focus imaging unit and the camera imaging unit. This focusing unit is configured to adjust a focus position of the focus imaging unit and the camera imaging unit. The imaging device further includes a control unit that is configured to actuate the focusing unit to adjust the focus position of the focus imaging unit and to thereby determine an optimal focus position, and to actuate the focusing unit to adjust the focus position of the camera imaging unit based on the determined optimal focus position.

Abstract: Systems (490), methods (340), and machine-readable and executable instructions (428) are provided for depth mask assisted video stabilization. Depth mask assisted video stabilization can include creating a first depth mask from a first frame (101, 201) and a second depth mask from a second frame (102, 202) to obtain depth information (342) and defining a first list of feature points (111-1a, 111-2a, 111-3a, 111-4a, 113-1a, 113-2a, 113-3a, 113-4a, 113-5a) from the first frame (101, 201) and a second list of feature points (111-1b, 111-2b, 111-3b, 111-4b, 113-1b, 113-2b, 113-3b, 113-4b, 113-5b) from the second frame (102, 202) (344).

Abstract: A device to detect location data, store a first location of the device within metadata of visual media if the location data is available, and store a second location within the metadata of the visual media if the location data is unavailable.

Abstract: Embodiments provide methods, apparatuses, and articles of manufacture for generating frames and changing lens positions based on the analysis of the frames. In one example, a controller coupled to a first camera and a second camera is to change a lens position of the first camera for a second frame based on the identification of a focal target in a frame generated by the second camera.

Abstract: A device to capture visual media, transiently store the visual media on a circular buffer, detect for a trigger from an environment around the device, and store the visual media on a location of a storage component separate from the circular buffer in response to detecting the trigger.

Abstract: A device to detect location data, store a first location of the device within metadata of visual media if the location data is available, and store a second location within the metadata of the visual media if the location data is unavailable.

Abstract: A method is disclosed for capturing one or more images that include a lightning strike using an image capturing device. The method is performed by one or more processors of the image capturing device. The one or more processors automatically capture a plurality of images during a period of time using the lens of the device. Each of the plurality of images is processed to detect a presence of lightning within each image. Each image is processed based, at least part, on two consecutive captured images. Images that have been determined to include the presence of lightning are stored in a memory resource of the image capturing device.

Abstract: Embodiments herein relate to setting a lens position based on focus scores. A plurality of initial positions of a lens are determined. Each of the initial positions may correspond to a position of the lens at which one of a plurality of objects has a highest quality. A focus score may be determined at each of the initial positions for the corresponding object having the highest quality. A final position of the lens between two of the initial positions may be calculated based on the focus scores.

Abstract: A method is disclosed for capturing one or more images that include a lightning strike using an image capturing device. The method is performed by one or more processors of the image capturing device. The one or more processors automatically capture a plurality of images during a period of time using the lens of the device. Each of the plurality of images is processed to detect a presence of lightning within each image. Each image is processed based, at least part, on two consecutive captured images. Images that have been determined to include the presence of lightning are stored in a memory resource of the image capturing device.

Abstract: A device to detect a location of a device, identify an image capture profile associated with the location of the device, and modify a mode of operation on the device based on the image capture profile.

Abstract: Embodiments herein relate to setting a lens position based on focus scores. A plurality of initial positions of a lens are determined. Each of the initial positions may correspond to a position of the lens at which one of a plurality of objects has a highest quality. A focus score may be determined at each of the initial positions for the corresponding object having the highest quality. A final position of the lens between two of the initial positions may be calculated based on the focus scores.

Abstract: Reference data associated with an image capture device is collected while the image capture device is directed toward a scene area. A capture control on the image capture device is automatically adjusted based at least in part on the reference data.

Abstract: A lens on an image capture device is illuminated with a known light source. The current light field created by illuminating the lens is measured at an image sensor on the device. In response to detecting that the current light field measurement fails to satisfy a threshold, a notification is provided on the device.

Abstract: A focus lens is moved to a position within a range of focus lens positions. A video frame is captured with the focus lens at that position. The magnification of the first video frame is altered according to a maximum magnification threshold associated with the range of focus lens positions.

Abstract: Embodiments disclosed herein relate to a camera flash filter. In one embodiment, a processor determines an intensity of light to filter through areas of the flash filter based on the lighting of a scene. The processor may determine a color of light to filter though the areas of the flash filter based on the determined intensity of light to filter through the areas of the flash filter.

Abstract: A machine-implemented method of generating a stabilized video sequence includes receiving an input video sequence captured by an image capture device. The input video sequence includes a plurality of pairs of successive frames. Motion sensor data indicative of motion of the image capture device while the input video sequence was being captured is received. A set of matching features for each pair of successive frames is identified. Global motion features are identified in each set of matching features and qualified based on the motion sensor data. The global motion features are indicative of movement of the image capture device. A stabilized video sequence is generated based on the input video sequence and the identified global motion features.