Abstract: In a method for classifying a sequence of records into events based upon feature values, such as time and/or location, associated with each of the records, feature differences between consecutive records are determined. The feature differences are ranked. A sequence of three or more clusters of feature differences is computed. The clusters are arranged in decreasing order of relative likelihood of respective feature differences representing separations between events. The records can be inclusive of images.

Abstract: In a digital image matching method, reference calibration data associated with one or more reference digital image files is ascertained. The reference digital image files each have reference calibration data that is hidden metadata and can also have public metadata that is readable by a different procedure. A test digital image file is obtained and a data structure capable of holding the reference calibration data is detected in the test digital image file. The presence of second calibration data within the data structure of the test digital image file is determined. If the reference and second calibration data match, then the test digital image file and reference digital image files are from the same digital acquisition device.

Abstract: A batch processing method for enhancing an appearance of a face located in a digital image, where the image is one of a large number of images that are being processed through a batch process, comprises the steps of: (a) providing a script file that identifies one or more original digital images that have been selected for enhancement, wherein the script file includes an instruction for the location of each original digital image; (b) using the instructions in the script file, acquiring an original digital image containing one or more faces; (c) detecting a location of facial feature points in the one or more faces, said facial feature points including points identifying salient features including one or more of skin, eyes, eyebrows, nose, mouth, and hair; (d) using the location of the facial feature points to segment the face into different regions, said different regions including one or more of skin, eyes, eyebrows, nose, mouth, neck and hair regions; (e) determining one or more facially relevant character

Abstract: A method of controlling a printer to print of an image, the printer having a predetermined marking material printed dot size, the method comprising the steps of rasterizing the image and defining halftone super pixels within the image, calculating the average density of the marking material within the super pixels, selecting a pattern for marking the pixels within the super pixels as a function of the printed dot size so as to expand the distribution of printed densities printable by the printer.

Abstract: In an image enhancement method, a regular enhancement function and an aggressiveness parameter are computed using characteristics of a digital image. A first, relatively slow enhancement algorithm is applied to the digital image using the regular enhancement function, when an aggressiveness parameter is in a predetermined high range. A second, relatively fast enhancement algorithm is applied to the digital image using the regular enhancement function, when an aggressiveness parameter is in a predetermined low range. A modified enhancement function is calculated using characteristics of the digital image and is used with a second, relatively fast enhancement algorithm, when the aggressiveness parameter is in a predetermined medium range.

Abstract: A JPEG2000 compressed image is transcoded to a lower bit-rate or lower resolution, or both, without having to decompress the initial JPEG2000 image and then recompress it to a lower bit-rate and/or resolution. Instead, arithmetic decoding is performed only to the nearest higher bit-rate layer, up to the desired resolution, before performing rate-distortion optimization to produce the transcoded image.

Abstract: A system and method for automatic creation of digital image albums. A Page Creator Module utilizes a genetic engine and a layout evaluation module. The genetic engine evolves a group of images to a plurality of album pages, based on certain layout criteria. The evaluation module calculates layout criteria and compares them with user preferences. When an acceptable image/page layout has been generated, the image/page assignments are transferred to an Image Placement Module. The Image Placement Module utilizes a second genetic engine, which evolves various criteria to generate page layouts genetic structures. These structures define the location, scale, and rotation of images placed on a given page. A layout evaluation module calculates and compares these layouts with certain other preferences and page requirements. When a suitable layout has been generated, a final album output is generated, which may be displayed, printed, or otherwise transferred for subsequent utilization.

Abstract: A system and method for automatically altering an image having pixels is disclosed. An image is segmented into regions and various features of the regions are extracted and used to calculate a confidence factor, or belief value, that a particular region is a main subject of the image. The belief values are assembled into a belief map that is used to define how pixel values are to be altered. Various color and appearance values of the pixel are altered in a predetermined way to emphasize the main subject of the image. The emphasis is applied in a binary fashion or as in a gradient of values. Either the main subject can be emphasized, or the secondary or background subjects can be de-emphasized. The system can be implement on a variety of computer systems.

Abstract: In processing a digital image to provide a desired grain appearance, a noise table is formed that represents noise magnitude vs. intensity of the image. A plurality of potential image processing paths are provided. Each path has one or more image transforms. The noise table is modified according to the image transforms in the respective image processing paths to provide a plurality of output noise tables. Noise metrics are generated from each of the output noise tables. The noise metrics each represent the appearance of the image processed by the respective image processing path. An input is then accepted designating one of the paths. The image is processed according to the designated image processing path to provide an output image having desired noise.

Abstract: A film camera has a body enclosing a light-tight film space. A film unit disposed in the film space, includes a filmstrip having a longitudinally extending row of uniform perforations. The perforations each have at least one concavely-curved edge extending in a direction transverse to the filmstrip. The film space is substantially free of skives despite prewinding of the filmstrip in the camera, even if the prewinding is at a high-torque level.

Abstract: A method for improving scene classification of a digital image comprising the steps of: (a) providing an image; (b) systematically recomposing the image to generate an expanded set of images; and (c) using a classifier and the expanded set of images to determine a scene classification for the image, whereby the expanded set of images provides at least one of an improved classifier and an improved classification result.

Abstract: A method for video filtering of an input video sequence by utilizing joint motion and noise estimation includes the steps of: (a) generating a motion-compensated video sequence from the input video sequence and a plurality of estimated motion fields; (b) spatiotemporally filtering the motion compensated video sequence, thereby producing a filtered, motion-compensated video sequence; (c) estimating a standard deviation from the difference between the input video sequence and the filtered, motion-compensated video sequence, thereby producing an estimated standard deviation; (d) estimating a scale factor from the difference between the input video sequence and the motion compensated video sequence; and (e) iterating through steps (a) to (d) using the scale factor previously obtained from step (d) to generate the motion-compensated video sequence in step (a) and using the estimated standard deviation previously obtained from step (c) to perform the filtering in step (b) until the value of the noise level approach

Abstract: A method for structuring video by probabilistic merging of video segments includes the steps of obtaining a plurality of frames of unstructured video; generating video segments from the unstructured video by detecting shot boundaries based on color dissimilarity between consecutive frames; extracting a feature set by processing pairs of segments for visual dissimilarity and their temporal relationship, thereby generating an inter-segment visual dissimilarity feature and an inter-segment temporal relationship feature; and merging video segments with a merging criterion that applies a probabilistic analysis to the feature set, thereby generating a merging sequence representing the video structure. The probabilistic analysis follows a Bayesian formulation and the merging sequence is represented in a hierarchical tree structure.

Abstract: A method of characterizing a display having a plurality of color channels includes the steps of visually characterizing the nonlinearities of the display; determining luminance ratios of the color channels using heterochromatic photometry; determining the chromaticities of the color channels using a neutral identification process; and calculating a colorimetric mixing matrix for the display by combining the luminance ratios of the color channels with the chromaticities of the color channels.

Abstract: A method for analyzing a digital image channel comprising the steps of providing a digital image channel, extracting a signal from the digital image channel, and using the extracted signal to determine whether the digital image channel is an interpolated digital image channel or a non-interpolated digital image channel. More specifically, the extracted signal comprises a signal related to differences between the values of neighboring pixels of the digital image channel, and the periodicity of the extracted signal is analyzed by computing a Fourier Transform signal of the extracted signal and looking for peaks in the Fourier Transform signal.

Abstract: A method for detecting a geometrically transformed copy of content in at least a portion of an image, comprises the steps of: (a) providing first and second digital images; (b) searching for objects of interest within each digital image; (c) identifying pairs of corresponding objects of interest in the digital images, wherein each pair of corresponding objects of interest comprises a located object of interest in the first digital image and a corresponding located object of interest in the second digital image that corresponds to the located object of interest in the first image; (d) locating feature points on each located object of interest in each digital image; (e) matching feature points on the located object of interest in the first digital image to the feature points on the corresponding object of interest in the second digital image, thereby generating a set of correspondence points for each image; (f) determining parameters of a geometric transformation that maps the set of correspondence points in th

Abstract: An electronic imaging system for capturing an image of a scene includes an optical system for producing an optical image of the scene, an imaging sensor having a surface in optical communication with the optical system, and a plurality of imaging elements distributed on the surface of the imaging sensor according to a distribution representable by a nonlinear function in which the relative density of the distributed imaging elements is greater toward the center of the sensor. Such a distribution provides physical coordinates for the imaging elements corresponding to a projection of the scene onto a non-planar surface, thereby compensating for perspective distortion of the scene onto the non-planar surface and alleviating the need to perform geometric warping of the images after they have been captured.

Abstract: Wavelet-based denoising is provided to an image. A corrected reference image is acquired and stored. A test image is adjusted using a selected gain setting such that the mean pixel value of the adjusted test image matches the mean pixel value of the reference image. The adjusted image is decomposed into sub-bands using a wavelet transformation. Thresholding is applied to a selected sub-band with a selected threshold setting. An inverse wavelet transformation is then applied to the sub-bands to provide a denoised image. This process is repeated such that each sub-band is tested with multiple threshold settings. The denoised images are analyzed to locate a threshold setting that is approximately optimal for each sub-band. This process is repeated for multiple light settings. A gain-threshold map is constructed by mapping each selected gain setting to the approximately optimal threshold settings for each sub-band at the selected gain setting.

Abstract: A batch processing method for enhancing an appearance of a face located in a digital image, where the image is one of a large number of images that are being processed through a batch process, comprises the steps of: (a) providing a script file that identifies one or more original digital images that have been selected for enhancement, wherein the script file includes an instruction for the location of each original digital image; (b) using the instructions in the script file, acquiring an original digital image containing one or more faces; (c) detecting a location of facial feature points in the one or more faces, said facial feature points including points identifying salient features including one or more of skin, eyes, eyebrows, nose, mouth, and hair; (d) using the location of the facial feature points to segment the face into different regions, said different regions including one or more of skin, eyes, eyebrows, nose, mouth, neck and hair regions; (e) determining one or more facially relevant character

Abstract: A flash camera has a single-piece shutter-opening/closing and shutter-flash synchronization driver that translates in one direction to pivot a pair of shutter blades away from one another and simultaneously push a movable switch contact of a normally open shutter-flash synchronization switch to close the switch. Then, the movable switch contact is spring-urged to move the switch contact to reopen the shutter-flash synchronization switch and push the single-piece driver in a reverse direction to move the blades towards one another. Movement of the blades away from and towards one another uncovers and recovers an exposure aperture to take a picture.