Abstract: The invention relates generally to the field of digital image processing, and in particular to a method for associating and viewing related video and still images. In particular, the present invention is directed to methods for associating and/or viewing digital content records comprising ordering a first set of digital content records and the second set of digital content records based upon information associated with each of the digital content records.

Abstract: A system (10) for two-dimensional (2-D) or three-dimensional (3-D) display of images includes a projector (100) for projecting the images; a processor (20) for determining whether to project 2-D or 3-D images; glasses (30) for viewing the 3-D images; a first transmitter (22) for synchronizing the projector with the glasses for viewing 3-D images; a switch (34) in the glasses to detect whether the glasses are on or off; a second transmitter (36) in the glasses for transmitting on/off position information; a receiver (24) for receiving switch position information from the second transmitter; wherein the receiver sends the on/off information to the processor; and wherein the processor switches the projector to project 2-D when the glasses are off.

Abstract: A method for determining an estimated clutter level of an input digital image based on an inequality index. The inequality index is determined by analyzing the input digital image to determine a set of image features. The image features are associated with a set of designated reference features, and the inequality index is determined based on the statistical variation of the reference features. A set of scene content features relating to spatial structures or semantic content of the input digital image is determined by analyzing the input digital image. The estimated clutter is determined responsive to the inequality index and the scene content features.

Abstract: A method for determining an estimated clutter level of an input digital image based on an inequality index. The inequality index is determined by partitioning the input digital image into small sub-images and analyzing the sub-images to determine a set of image features. The image features are associated with a set of designated reference features, and the inequality index is determined based on the statistical variation of the reference features. The inequality index is compared to a predefined threshold to classify the input digital image as a rich-content image or a low-content image. For rich-content images, the estimated clutter level is determined responsive to a set of scene content features relating to spatial structures or semantic content of the input digital image is determined by analyzing the input digital image. For low-content images, the estimated clutter level is determined responsive to an overall luminance level.

Abstract: A method for determining an estimated clutter level of an input digital image based on an inequality index. The inequality index is determined by analyzing the input digital image to determine a set of image features. The image features are associated with a set of designated reference features, and the inequality index is determined based on the statistical variation of the reference features. A set of scene content features relating to spatial structures or semantic content of the input digital image is determined by analyzing the input digital image. The estimated clutter is determined responsive to the inequality index and the scene content features.

Abstract: A method for determining an estimated clutter level of an input digital image based on an inequality index. The inequality index is determined by partitioning the input digital image into small sub-images and analyzing the sub-images to determine a set of image features. The image features are associated with a set of designated reference features, and the inequality index is determined based on the statistical variation of the reference features. The inequality index is compared to a predefined threshold to classify the input digital image as a rich-content image or a low-content image. For rich-content images, the estimated clutter level is determined responsive to a set of scene content features relating to spatial structures or semantic content of the input digital image is determined by analyzing the input digital image. For low-content images, the estimated clutter level is determined responsive to an overall luminance level.

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 of organizing an image collection includes detecting faces in the image collection, extracting features from the detected faces, determining a set of unique faces by analyzing the extracted features, wherein each face in the set of unique faces is believed to be from a different person than the other faces in the set; and displaying the unique faces to a user.

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: The invention relates generally to the field of digital image processing, and in particular to a method for associating and viewing related video and still images. In particular, the present invention is directed to methods for associating and/or viewing digital content records comprising ordering a first set of digital content records and the second set of digital content records based upon information associated with each of the digital content records.

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 for display of stereoscopic images defines at least first and second unequal subsets of viewers and provides at least the first subset of viewers with a first decoding device for viewing displayed stereoscopic images. From a single display apparatus, separate images are displayed for each eye of at least the first and second subsets of viewers in a repeated sequence of displaying the image for the first eye of all viewers during a first time interval; displaying the image for the second eye of the first subset of viewers during a second time interval; and displaying the image for the second eye of the second subset of viewers during a third time interval. The first, second, and third time intervals are non-overlapping.

Abstract: A method for image presentation are provided, in which at least one theme for image presentation is obtained; at least one set of images is acquired for presentation in association with each theme; and a presentation area image is generated for presentation on a display with a plurality of separate presentation objects in the presentation area image; an image value for each of the acquired images is determined; an emphasis score is determined for each of the acquired images. The presentation area image is presented with one of the acquired images in each of the presentation objects; and the presentation objects are animated by moving the presentation objects relative to each other in a manner that attracts more attention to presentation objects that are used to present images having a higher emphasis score than presentation objects that are used to simultaneously present images having a lower emphasis score.

Abstract: An image-record subject is identified for a plurality of image records in an image collection. Then, a sampling change-metric related to a changing characteristic of the image-record subject is identified, and sampling of at least a portion of the image collection occurs at least according to the sampling change-metric to obtain one or more image records for the subset. Information pertaining to results of the sampling step is stored in a computer-accessible memory system.

Abstract: A method is provided for customizing scene content, according to a user or a cluster of users, for a given stereoscopic display, including obtaining customization information about the user; obtaining a scene disparity map for a pair of given stereo images and/or a three-dimensional (3D) computer graphic model; and determining an aim disparity range for the user. The method of the present invention also generates a customized disparity map and/or rendering conditions for a three-dimensional (3D) computer graphic model correlating with the user's fusing capability of the given stereoscopic display; and renders or re-renders the stereo images for subsequent display.

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 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 system (10) for two-dimensional (2-D) or three-dimensional (3-D) display of images includes a projector (100) for projecting the images; a processor (20) for determining whether to project 2-D or 3-D images; glasses (30) for viewing the 3-D images; a first transmitter (22) for synchronizing the projector with the glasses for viewing 3-D images; a switch (34) in the glasses to detect whether the glasses are on or off; a second transmitter (36) in the glasses for transmitting on/off position information; a receiver (24) for receiving switch position information from the second transmitter; wherein the receiver sends the on/off information to the processor; and wherein the processor switches the projector to project 2-D when the glasses are off.

Abstract: The invention relates generally to the field of digital image processing, and in particular to a method for associating and viewing related video and still images. In particular, the present invention is directed to methods for associating and/or viewing digital content records comprising ordering a first set of digital content records and the second set of digital content records based upon information associated with each of the digital content records.