Abstract: A method for representing a video sequence including a time sequence of input video frames, the input video frames including some common scene content that is common to all of the input video frames and some dynamic scene content that changes between at least some of the input video frames. Affine transform are determined to align the common scene content in the input video frames. A common video frame including the common scene content is determined by forming a sparse combination of a first basis functions. A dynamic video frame is determined for each input video frame by forming a sparse combination of a second basis functions, wherein the dynamic video frames can be combined with the respective affine transforms and the common video frame to provide reconstructed video frames.

Abstract: A method for determining a scene boundary location dividing a first scene and a second scene in an input video sequence. The scene boundary location is determined responsive to a merit function value, which is a function of the candidate scene boundary location. The merit function value for a particular candidate scene boundary location is determined by representing the dynamic scene content for the input video frames before and after candidate scene boundary using sparse combinations of a set of basis functions, wherein the sparse combinations of the basis functions are determined by finding a sparse vector of weighting coefficients for each of the basis functions. The weighting coefficients determined for each of the input video frames are combined to determine the merit function value. The candidate scene boundary providing the smallest merit function value is designated to be the scene boundary location.

Abstract: A method of selecting digital images includes using a processor to store the digital images in an electronic storage and retrieval system, forming a corresponding machine-readable code for each stored digital image, the machine-readable code encoding a reference to the storage location of the corresponding digital image in the electronic storage and retrieval system, providing a viewable image that includes a representative image of each digital image in the first collection of digital images in association with its associated machine-readable code, selecting one or more but not all of the digital images by receiving references or photographs of the machine-readable codes and extracting the references from the received photographs, and compiling the digital images corresponding to the received or extracted references into a second image collection.

Abstract: A method for transforming an image expressed in terms of a first image encoding to a second image encoding, includes converting a set of original scene exposure-factor values into corresponding first and second image encoding values. A transform is then derived between the first image encoding values and the second image encoding values. The transform is then applied to an image encoded in said first image encoding. Examples of different encoding that can be transformed include Rec. 709, sRGB and other known image encoding standards. A system for performing such transformations as well as an electronic device that is capable of performing such transformations are also disclosed.

Abstract: The present disclosure relates to a an electronic device such as a digital camera 300 that includes a deletion mode whereby a camera/electronic device user can delete captured images or data files that have already been transferred in order to make room in the electronic device or digital camera memory for capturing further images. In one embodiment a digital camera keep track of which images have already been transferred to an external storage device and presents those to the user as potential images to be deleted. In another embodiment, the user is presented with a “delete all transferred images” which when selected deletes all the captured images that have already been transferred. In still another embodiment, a deletion criteria is used to prioritize which images are deleted first.

Abstract: A digital camera for capturing an image containing the photographer, comprising: an image sensor; an optical system for forming an image of a scene on the image sensor; a processor for processing the output of the image sensor in order to detect the presence of one or more faces in a field of view of the digital camera; a feedback mechanism for providing feedback to the photographer while the photographer is included within the field of view, responsive to detecting at least one face in the field of view, and a means for initiating capture of a digital image of the scene containing the photographer.

Abstract: A method for determining a three-dimensional model of a scene from a collection of digital images, wherein the collection includes a plurality of digital images captured from a variety of camera positions. A set of the digital images from the collection are selected, wherein each digital image contains overlapping scene content with at least one other digital image in the set of digital images, and wherein the set of digital images overlap to cover a contiguous portion of the scene. Pairs of digital images from the set of digital images to determine a camera position for each digital image. A set of target camera positions is determined to provide a set of target digital images having at least a target level of overlapping scene content. The target digital images are analyzed using a three-dimensional reconstruction process to determine a three-dimensional model of the scene.

Abstract: A computing system comprising a processor for identifying two or more individual regions in a digital image that each include a human face, for padding each of the two or more individual regions, and for digitally defining at least one combined padded region that includes the two or more individual padded regions, wherein at least one border of the at least one combined padded region is collinear with a border of one of the individual padded regions.

Abstract: A method and system for automatically creating an image product based on media assets stored in a database. A number of stored digital media files are analyzed to determine their semantic relationship to an event and are classified according to requirements and semantic rules for generating an image product. Rule sets are applied to assets for finding one or more assets that can be include in a story product. The assets, which best meet the requirements and rules of the image product are included.

Abstract: In a camera and method, a scene is captured as an archival image, with the camera set in an initial capture configuration. Then, a plurality of parameters of the scene are evaluated. The parameters are matched to one or more of a plurality of suggested capture configurations to define a suggestion set. User input designating one of the suggested capture configurations of the suggestion set is accepted and the camera is set to the corresponding capture configuration.

Abstract: A method of making an image-based product includes providing an image collection having a plurality of digital images, each digital image having an image type; providing one or more image-type distributions, each image-type distribution corresponding to a theme and including a distribution of image types related to the theme; using a processor to automatically compare the image types of the digital images in the image collection to the image types in the image-type distribution; using the processor to automatically determine a match between the image types in the image collection and the image types in the image-type distribution; and selecting a group of digital images from the image collection having a distribution of image types specified by the determined matching image-type distribution. The method further includes assembling the digital images in the selected group of images into an image-based product and causing the construction of the image-based product.

Abstract: A computer implemented method for making a single rendered printable image corresponding to a picture frame. Two or more digital images are arranged on a print sheet according to machine decodable frame-specification information that specifies where two or more image openings in a picture frame are situated. The two or more acquired images are rendered into a single printed page of images having the two or more acquired images located in positions corresponding to the image openings.

Abstract: Access to information related to a digital image record is provided on a data processing device having a display. The digital image record is presented on the display. An indication of user interaction with the displayed digital image record is received. In response to the received indication, a labeled tab is presented on the display. The tab displays or emanates near or from an edge of the displayed digital image record or from an edge of a displayed digital image record container including the digital image record. The tab includes an access point configured to allow a user to access information about a personal social association related to content contained within the digital image record.

Abstract: A method for determining an interest level of a digital image to a particular person. The digital image, or metadata associated with the digital image, is analyzed to designate one or more image elements in the digital image. Familiarity levels of the designated image elements to the particular person are determined. The interest level of the digital image to the particular person is then determined responsive to the determined familiarity levels. In some embodiments the image elements include persons and scene contexts, where digital images containing more familiar persons and less familiar scene contexts correspond to higher interest levels.

Abstract: A system comprising an image display; a digital camera positioned to capture images of persons viewing the image display; and a memory system storing instructions configured to cause a data processing system to implement a method for presenting digital images having a high interest level to a particular person selected from a set of candidate digital images. The method includes using the digital camera to capture an image including a particular person positioned to view the image display. The candidate digital images are analyzed to designate one or more image elements, and familiarity levels of the designated image elements to the particular person are determined. For each candidate digital image, an associated interest level to the particular person is determined responsive to the determined familiarity levels. One or more of the candidate digital images are selected based on the determined interest levels and are presented to the particular person.

Abstract: A method for determining a semantic concept classification for a digital video clip, comprising: receiving an audio-visual dictionary including a plurality of audio-visual grouplets, the audio-visual grouplets including visual background and foreground codewords, audio background and foreground codewords, wherein the codewords in a particular audio-visual grouplet were determined to be correlated with each other; analyzing the digital video clip to determine a set of visual features and a set of audio features; determining similarity scores between the digital video clip and each of the audio-visual grouplets by comparing the set of visual features to any visual background and foreground codewords associated with a particular audio-visual grouplet, and comparing the set of audio features to any audio background and foreground codewords associated with the particular audio-visual grouplet; and determining one or more semantic concept classifications using trained semantic classifiers.

Abstract: A method for storing a pre-designed digital template having a number of digital openings for displaying at least one digital image within each opening. Each opening has stored required image attributes associated with it for finding appropriate images to place in the opening. At least one of the non-primary image files has a satisfactory required image attribute score as computed by the computer system which is based on a required image attribute for an associated opening where an image of the at least one other of the non-primary image files will be displayed. The required image attribute itself is based upon at least one of the image attributes of the primary image file.

Abstract: A computer-implemented method of communicating message data in a frame of data includes transmitting the frame of data across a communication channel. The frame of data includes the message data, a first 8-bit digital control word, and a second 8-bit digital control word. Each control word has a unique bit pattern and is associated with a different time interval that individually indicates where or when the message data begins or began in the frame of data relative to the time interval's associated control word. At least one of the control words and other data are received. At least some of the other data are identified as the message data based upon receipt of at least one of the control words. Only one of the control words needs to be received to identify the message data from the other data.

Abstract: The invention relates to a receiving station (10) comprising a first physical connection port (20) intended for a first host equipment item and at least one second physical connection port (22) intended for at least one second host equipment item, detection means (24, 34) of host equipment connected to the ports, and the means (30) of automatic selection of combined use modes of the resources of the receiving station and/or connected host equipment, controlled by the detection means (24, 34). Application to handheld portable equipment.

Abstract: A method for adapting color appearance of a display (200) for low luminance conditions includes operating a projection (100) to display images on a display surface (30); detecting ambient light conditions and displayed image brightness; determining low luminance conditions based on the detected ambient light conditions and the detected display brightness; determining changes in color appearance to be applied to the displayed images based on the low luminance conditions, a model of photopic vision of the human eye, and a model of mesopic vision of the human eye; and applying the determined changes in the color appearance to image data using an image processor (130) that alters the image data for the projected images.