Abstract: Spectacles are disclosed for use in viewing images or videos, and include at least two lenses each having an adjustable optical property and an image capture device associated with the spectacles for receiving a digital image comprising a plurality of digital image channels each containing multiple pixels. The spectacles further include the image capture device for capturing a digital image and a processor for computing a feature vector from pixel values of the digital image channels wherein the feature vector includes information that would indicate whether the image is an anaglyph or a non-anaglyph image.

Abstract: A display system for displaying 2D or 3D images to one or more people is disclosed having a display that presents two or more different images to two or more viewing regions, wherein the different images include 2D or 3D images. The display further includes an image capture device associated with the display for capturing images of the viewing regions; an image analyzer for detecting people in the viewing regions including detecting an indication by at least one person of a 2D or 3D preference; and the image analyzer adjusting at least one of the different images based on the detected people and the preference indication.

Abstract: The age class of a human subject is ascertained in a digital image. The subject has a redeye defect pair; each defect having one or more defect pixels. In the method, two regions of pixels corresponding to the defects are identified. The distance between the regions is measured. A region size is determined, based upon the size of at least one of the regions. An age class is determined from the distance and region size.

Abstract: A method for automatically identifying persons in digital media assets associated with a database of individual user accounts, comprising: providing access to a database of individual user accounts, wherein the database includes connections between the individual user accounts; receiving a digital media asset associated with a first individual user account; analyzing the received digital media asset to detect an unidentified person; designating collections of digital media assets associated with the first individual user account and other connected individual user accounts; training person identifiers for the previously identified persons by analyzing digital media assets containing the previously identified persons; using a processor to identify the detected unidentified person using the trained person identifiers; and associating metadata providing an indication of the one or more identified persons with the received digital media asset.

Abstract: The present disclosure relates to automatically generating a dynamic set of metadata from digitized hardcopy media. The technique includes scanning the image side and non-image side of a plurality of hardcopy media. A dynamic digital metadata record of each of the plurality of hardcopy media is created and used for manipulating each of the plurality of hardcopy media.

Abstract: A method of categorizing the relationship of individuals from a collection of photos taken in multiple sets of events includes: searching the photo collection to identify individuals in the photo collection, determining the gender and age range of the identified individuals; and using the identified individuals, their occurrences and co-occurrences, their gender, and their ages to infer social relationships between the individuals based on a set of rules.

Abstract: A method for associating event times or time periods with digital images in a collection for determining if a digital image is of interest, includes storing a collection of digital images each having an associated capture time; comparing the associated capture time in the collection with a special event time to determine if a digital image in the collection is of interest, wherein the comparing step includes calculation of a special event time associated with a special event based on the calendar time associated with the special event and using such information to perform the comparison step; and associating digital images of interest with the special event.

Abstract: A method for estimating the aesthetic quality of an input digital image comprising using a digital image processor for performing the following: determining one or more vanishing point(s) associated with the input digital image by automatically analyzing the digital image; computing a compositional model from at least the positions of the vanishing point(s); and producing an aesthetic quality parameter for the input digital image responsive to the compositional model, wherein the aesthetic quality parameter is an estimate for the aesthetic quality of the input digital image.

Abstract: A method for measuring a photographer's progress over time toward producing images with a high level of aesthetic quality by assessing the aesthetic quality of a set of digital images captured by the photographer comprising: providing a set of digital images captured by a particular photographer, each digital image having and associated capture times captured by a particular photographer; using a processor to compute an aesthetic quality parameters for each digital image in the set; and producing an indication of the photographer's progress toward producing images with a high level of aesthetic quality using the aesthetic quality parameters for each digital image in the set and the corresponding associated capture times.

Abstract: A method for comparing a plurality of photographers by assessing the aesthetic quality of a set of digital images captured by each photographer comprising: providing a set of digital images captured by each of a plurality of photographers; using a processor to determine an aesthetic quality parameter for each digital image in each of the sets of digital images, wherein the aesthetic quality parameter is an estimate for the aesthetic quality of the digital image; determining an aesthetic quality distribution for each photographer responsive to the aesthetic quality parameters computed for each of the digital images in the photographer's set of digital images; and providing a comparison between the aesthetic quality distributions of the photographers.

Abstract: A method of detecting and correcting camera rotation in a digital camera, that includes the steps of: capturing a digital image to provide a captured digital image; and analyzing the captured digital image to detect a set of lines. The set of lines are used to determine a rotation angle of the captured digital image; and the captured digital image is modified based on the rotation angle, before storing the modified digital image.

Abstract: A method of classifying regions in a digital image or video captured by an image capture device includes providing a geographic location determining device associated with the image capture device; using the location determining device to measure the image capture location at substantially the time that the digital image or video was captured; and classifying regions in the captured digital image or video into one or more classes based on the image-capture location.

Abstract: A method of processing a digital image captured by a camera includes providing an ambient air measuring device associated with the camera; using the ambient air measuring device to measure air attributes at substantially the time the digital image was captured; determining a transform for modifying the digital image from the measured air attributes; and applying the transform to the digital image to produce an improved digital image.

Abstract: A method of adjusting exposure of a digital camera based on range information, including a digital camera capturing a first digital image at a selected exposure of a scene having objects; providing range information having two or more range values indicating the distance from the digital camera to objects in the scene; using the range information and pixel values of the captured digital image to determine an exposure adjustment amount for the selected exposure; and applying the exposure adjustment amount to the digital image to produce a second digital image with adjusted exposure.

Abstract: A method for associating event times or time periods with digital images in a collection for determining if a digital image is of interest, includes storing a collection of digital images each having an associated capture time; comparing the associated capture time in the collection with a special event time to determine if a digital image in the collection is of interest, wherein the comparing step includes calculation of a special event time associated with a special event based on the calendar time associated with the special event and using such information to perform the comparison step; and associating digital images of interest with the special event.

Abstract: A method for extracting an object out of each image in a group of digital images that contain the object, includes providing a group of digital images, each containing the object with a background; selecting a seed image from the group of digital images, and displaying the seed image to a user; the user providing at least one marking for the seed image, which corresponds to a subset of pixels in the seed image that indicates whether the set of pixels belongs to a part of object of interest or a part of the background; producing from the seed image and the marking a statistical model that can be used for separating the object of interest from the background in the group of images; and applying the statistical model to each image in the group of digital images to produce a cutout of the object of interest from each digital image.

Abstract: In a method and system for detecting digital image compositing, a first artifact is detected in an uncompressed digital image. The first artifact is characteristic of an earlier compression of the digital image with a predetermined compression algorithm. An interpolation marker in the image is evaluated to provide interpolation results. During the evaluating, a second artifact of the compression algorithm is counteracted. The image is classified responsive to the interpolation results. The first artifact can be a blocking artifact and the second artifact and interpolation marker can be different periodicities in the image.

Abstract: A method of searching through a collection of images, includes providing a list of individuals of interest and features associated with such individuals; detecting people in the collection images; determining the likelihood(s) for each listed individual of appearing in each collection image in response to the detected people and the features associated with the listed individuals; and selecting in response to the determined likelihood(s) a number of collection images such that each individual from the list appears in the selected number of collection images.

Abstract: A method of determining the geographic location of a hardcopy medium having an image side and a non-image side, includes scanning a hardcopy medium to produce a scanned digital image; scanning the non-image side of the hardcopy medium; detecting a location feature from the scan of the non-image side of the hardcopy medium; using the location feature to determine the geographic location of the scanned digital image; and storing the determined geographic location of the scanned digital image.

Abstract: A method of categorizing a social relationship between individuals in a collection of images to suggest a possible course of action, includes searching the collection to identify individuals and determining their genders and their age ranges; using the gender, and age ranges of the identifies individuals to infer at least one social relationship between them; and using at least one inferred social relationship to suggest a possible course of action.