Hewlett-packard Development Company, L.P.

Shane D Voss

Jason E Yost

Robert Paul Cazier

John Mick

Oscar A Zuniga

Robb Cazier

Andrew Clark Goris

Wilfred Francis Brake

Kevin J Matherson

Alan P Lemke

Tanvir Islam

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.

Image blending based on image reference information

Systems (), methods (), and machine-readable and executable instructions () are provided for depth mask assisted video stabilization. Depth mask assisted video stabilization can include creating a first depth mask from a first frame () and a second depth mask from a second frame () to obtain depth information () and defining a first list of feature points (---------) from the first frame () and a second list of feature points (---------) from the second frame () (). Depth mask assisted video stabilization can also include comparing feature points from the first list of feature points (------) with feature points from the second list of feature points (------) to find a number of common feature point pairs (--), (--), (--), (--), (--), (--), (--), (--), (--)) () and creating a number of motion matrices from the common feature point pairs ((--), (--), (--), (--), (--), (--), (--), (--), (--)) (). Depth mask assisted video stabilization can also include including the motion matrices in a correction matrix () and applying the inverse of the correction matrix to the second frame () to perform video stabilization ().

Depth mask assisted video stabilization

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.

Altering focus lens magnification in a video frame

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.

Blemish detection and notification in an image capture device

A method of stabilizing a subject of interest in captured video includes identifying the subject of interest within a crop window and establishing a first subject bounding window that includes the subject of interest. The method continues with refraining from substantially changing the first subject bounding window while the subject of interest moves within the first subject bounding window and establishing a second subject bounding window within the crop window that includes the subject of interest when the subject of interest exits the first subject bounding window.

Stabilizing a subject of interest in captured video

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.

Second camera for finding focal target in poorly exposed region of frame taken by first camera

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.

Automatically capturing images that include lightning

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.

Storing a location within metadata of visual media

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.

Lens position based on focus scores of objects

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.

Mode of operation based on image capture profile

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.

Automatic adjustment of capture parameters based on reference data

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.

Generating a stabilized video sequence based on motion sensor data

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.

Camera flash filter

A readout frequency of a sensor of a digital image capturing device is set based on a frequency of alternating current (AC) mains so that a readout period of the sensor of the digital image capturing device is not an integer multiple of a flicker period. The flicker period is equal to half of a period of the AC mains. A first image frame and a second image frame are captured using the sensor of the digital image capturing device. The second image frame is captured later in time than the first image frame. Whether flicker has occurred in the first and second image frames due to a periodic fluctuation of light emitted by a light source powered by the AC mains is detected by comparing a brightness of an area of the first image frame to a brightness of a corresponding area of the second image frame.

Detection of flicker within captured imaged frames

Example embodiments disclosed herein relate to image stabilization. Image stabilization includes techniques used to reduce jitter associated with the motion of a camera. Image stabilization can compensate for pan and tilt (angular movement, equivalent to yaw and pitch) of a camera or other imaging device. Image stabilization can be used in still and video cameras, including those found in mobile devices such as cell phones and personal digital assistants (PDAs).

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Fort Collins, CO, United States of America

Shane D Voss