Abstract: A system and method for adjusting perspective and disparity in a stereoscopic image pair using range information includes receiving the stereoscopic image pair representing a scene; identifying range information associated with the stereoscopic image pair and including distances of pixels in the scene from a reference location; generating a cluster map based at least upon an analysis of the range information and the stereoscopic images, the cluster map grouping pixels of the stereoscopic images by their distances from a viewpoint; identifying objects and background in the stereoscopic images based at least upon an analysis of the cluster map and the stereoscopic images; generating a new stereoscopic image pair at least by adjusting perspective and disparity of the object and the background in the stereoscopic image pair, the adjusting occurring based at least upon an analysis of the range information; and storing the new generated stereoscopic image pair in a processor-accessible memory system.

Abstract: A digital camera comprises an image sensor for providing initial sensor image data and final sensor image data; a lens for exposing the image of a scene onto the image sensor; an exposure control system for adjusting an exposure level of a final image on the image sensor in response to a scene type; and a processor for processing the initial sensor image data to select one of a plurality of scene types, and to process the final sensor image data in response to the scene type.

Abstract: A digital video capture system for capturing a digital video sequence and for producing a corresponding video summary, comprising: an image sensor; an optical system; a processor, a softcopy display and a means for providing a user with an option to view either a stored digital video sequence or a video summary on the softcopy display. The processor performs the steps of: capturing a digital video sequence; automatically analyzing the digital video sequence at the time the digital video sequence is captured to determine one or more feature values; compressing the digital video sequence; storing the compressed digital video sequence; automatically analyzing the feature values to identify one or more key video snippets, assembling the key video snippets to form a video summary; and storing a representation of the video summary.

Abstract: A method for capturing an image, comprising: providing a switchable imaging apparatus including a display screen having a first display state and a second transparent state, an optical beam deflector switchable between a first non-deflecting state and a second deflecting state, a camera positioned in a location peripheral to the display screen, and a controller; setting the switchable imaging apparatus to the image capture mode by using the controller to set the display screen to the second transparent state and the optical beam deflector to the second deflecting state; using the camera to capture an image of the scene; setting the switchable imaging apparatus to the image display mode by using the controller to set the display screen to the first display state and the optical beam deflector to the first non-deflecting state; and displaying an image on the display screen.

Abstract: A method of using an image capture device to identify range information for objects in a scene includes providing an image capture device having an image sensor, at least two coded apertures, and a lens; storing in a memory a set of blur parameters derived from range calibration data for each coded aperture; capturing images of the scene having a plurality of objects using each of the coded apertures; providing a set of deblurred images using the captured images from each coded aperture and each of the blur parameters from the stored set; and using the set of deblurred images to determine the range information for the objects in the scene.

Abstract: A method for forming a video summary for a digital video sequence. The method includes capturing a digital video sequence with a digital video capture device, wherein the digital video sequence includes a plurality of video frames. At least one of the video frames in the digital video sequence is analyzed at the time the digital video sequence is captured to determine one or more feature values. The digital video sequence; is compressed and stored in a processor-accessible memory. The feature values are analyzed, without decompressing the stored compressed digital video sequence, to identify one or more key video snippets, each key video snippet corresponding to a set of video frames from the digital video sequence. The key video snippets are assembled to form a video summary which is stored in a processor-accessible memory.

Abstract: A system for automatically selecting a template and a number of secondary images for display with a primary preselected image based on analyzing the primary image's attribute information and comparing the template's required image attributes and secondary image's attribute information. The attribute information is used to evaluate and arithmetically score a compatibility of the images and template so that a best compatibility fit can be obtained when displaying the image.

Abstract: A method for producing an image template having one or more openings for displaying images. The openings as well as the images are each associated with a season. The images are automatically analyzed to determine which season they most likely depict. Images are then selected to be placed in a template opening designated for a particular season. This method can be used to automate calendar production.

Abstract: A computer system having a processor and a memory for generating and storing a list of elements that are searched for in digital images. Occurrences of the elements in the images are indicative of a calendar season and, optionally, with a calendar month or another kind of season. The elements include weight values for indicating how strongly the element is associated with a season. The computer system automatically calculates a season determination value for each of the digital images and automatically selects images for use in a seasonal image product.

Abstract: A method of accessing an image database containing location data and determining one or more clusters of the digital images based on their location data. A hotspot location is determined for representing the cluster of the digital images and the results are stored for later access. The computer is connected to a network and receives data from a device including data identifying a current location. After determining that the device is within a selected notification distance from the hotspot location, a notification is transmitted over the network.

Abstract: A method of displaying a video of a scene on a display with reduced motion blur includes: providing the video of a scene having first subframes that have a first input rate and second subframes that have a second input rate, wherein the first subframes correspond to a first region of the display and the second subframes correspond to a second region of the display; and selectively providing the first and second subframes to corresponding regions in the display, and providing the first region of the display with a first update rate and the second region of the display with a second update rate, wherein the first update rate is greater than the second update rate, so that the displayed image has reduced motion blur.