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 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.

Abstract: Systems, methods, and machine-readable and executable instructions are provided for filtering image data. Filtering image data can include determining a desired depth of field of an image, determining a distance between a pixel of the image and the desired depth of field. Filtering image data can also include adjusting a contrast of the pixel in proportion to a magnitude of a weight of the pixel, wherein the weight is based on the distance.

Abstract: 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).

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: Example embodiments disclosed herein relate to feature based image registration. Feature based image registration determines correspondence between image features such as points, lines, and contours to align or register a reference or first image and a target or second image. The examples disclosed herein may be used in mobile devices such as cell phones, personal digital assistants, personal computers, cameras, and video recorders.

Abstract: 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).

Abstract: Implementations disclosed herein relate to determining an option based on a reaction to visual media content. In one implementation, a processor determines a user's degree of preference for visual media content and selects an option based on the determined degree of preference. The processor may provide the determined degree of preference.

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: 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 device to calibrate with a 3D viewer, to couple to a display device, and to split a 3D signal to a first 2D signal and a second 2D signal and generate media to be rendered on the display device by merging the first 2D signal and the second 2D signal based on a timing between the device and the 3D viewer.

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 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.

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: 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.

Abstract: A positioning system and method are disclosed. The system includes an external force sensor configured to measure a magnitude of at least one external force acting upon a movable object disposed within a camera and to generate a force signal that is indicative of the magnitude of the at least one external force. The system also includes a positioning motor configured to control a physical location of the movable object in response to a positioning signal. The system further includes a position controller configured to generate the positioning signal at a magnitude that is adjusted in response to the force signal to substantially compensate for the at least one external force in controlling the physical location of the movable object.