Abstract: A method for extracting textual information from a document containing text characters using a digital image capture device. A plurality of digital images of the document are captured using the digital image capture device. Each of the captured digital images is automatically analyzed using an optical character recognition process to determine extracted textual data. The extracted textual data for the captured digital images are merged to determine the textual information for the document, wherein differences between the extracted textual data for the captured digital images are analyzed to determine the textual information for the document.

Abstract: A digital image capture device, comprising an image sensor and an optical system for capturing digital images, and a program memory storing instructions configured to cause a data processing system to implement a method for extracting textual information from a document containing text characters. The method includes capturing plurality of digital images of the document using the image sensor. Each of the captured digital images is automatically analyzed using an optical character recognition process to determine extracted textual data. The extracted textual data for the captured digital images are merged to determine the textual information for the document, wherein differences between the extracted textual data for the captured digital images are analyzed to determine the textual information for the document.

Abstract: A system including a data processing system, a network interface for communicating over a network, and a program memory storing instructions configured to cause the data processing system to implement a method for extracting textual information from images of a document containing text characters. The method includes receiving a plurality of digital images of the document over the network. Each of the captured digital images is automatically analyzed using an optical character recognition process to determine extracted textual data. The extracted textual data for the captured digital images are merged to determine the textual information for the document, wherein differences between the extracted textual data for the captured digital images are analyzed to determine the textual information for the document.

Abstract: A method for determining an event classification for digital images, comprising: receiving one or more digital images; detecting one or more lit candles within the one or more digital images; using a data processor to automatically determine an event classification responsive to analyzing a spatial arrangement of the detected lit candles in the one or more digital images; and storing metadata in a processor-accessible memory associating the determined event classification with each of the one or more digital images.

Abstract: A method for determining an event classification for digital images, comprising: receiving one or more digital images; detecting one or more man-made light emitting sources within the one or more digital images; using a data processor to automatically determine an event classification responsive to analyzing a spatial arrangement of the detected man-made light emitting sources in the one or more digital images; and storing metadata in a processor-accessible memory associating the determined event classification with each of the one or more digital images.

Abstract: A method of producing a digital stereoscopic image using a processor is disclosed. The method includes providing a plurality of digital image files which include digital images and the time of capture of each image and using time of capture to identify candidate pairs of images. The method further includes using the processor to analyze the image content of the candidate pairs of images to identify at least one image pair that can be used to produce a stereoscopic image; and using an identified image pair to produce the digital stereoscopic image.

Abstract: A method for extracting textual information from a document containing text characters using a digital image capture device. A plurality of digital images of the document are captured using the digital image capture device. Each of the captured digital images is automatically analyzed using an optical character recognition process to determine extracted textual data. The extracted textual data for the captured digital images are merged to determine the textual information for the document, wherein differences between the extracted textual data for the captured digital images are analyzed to determine the textual information for the document.

Abstract: A system including a data processing system, a network interface for communicating over a network, and a program memory storing instructions configured to cause the data processing system to implement a method for extracting textual information from images of a document containing text characters. The method includes receiving a plurality of digital images of the document over the network. Each of the captured digital images is automatically analyzed using an optical character recognition process to determine extracted textual data. The extracted textual data for the captured digital images are merged to determine the textual information for the document, wherein differences between the extracted textual data for the captured digital images are analyzed to determine the textual information for the document.

Abstract: A digital image capture device, comprising an image sensor and an optical system for capturing digital images, and a program memory storing instructions configured to cause a data processing system to implement a method for extracting textual information from a document containing text characters. The method includes capturing plurality of digital images of the document using the image sensor. Each of the captured digital images is automatically analyzed using an optical character recognition process to determine extracted textual data. The extracted textual data for the captured digital images are merged to determine the textual information for the document, wherein differences between the extracted textual data for the captured digital images are analyzed to determine the textual information for the document.

Abstract: A method for detecting, scaling, and positioning handwritten information from hardcopy media, the method includes the steps of digitizing the media and detecting handwritten information; analyzing the media to determine an available location in the digitized image for placement; determining the orientation of the media and handwritten information; and orienting, scaling, and positioning the detected handwritten information. The method further includes storing or using the digitized image side with the handwritten information.

Abstract: A method for producing a slide show video from a collection of hardcopy media, the method includes digitizing the media and detecting handwritten information and estimating the age of the media; determining an order of presentation for the slide show video based on the detected handwritten information and estimated ages; and producing a slide show video from the hardcopy media using the determined order of presentation.

Abstract: A method for determining an event classification for digital images, comprising: receiving one or more digital images; detecting one or more man-made light emitting sources within the one or more digital images; using a data processor to automatically determine an event classification responsive to analyzing a spatial arrangement of the detected man-made light emitting sources in the one or more digital images; and storing metadata in a processor-accessible memory associating the determined event classification with each of the one or more digital images.

Abstract: A method for determining an event classification for digital images, comprising: receiving one or more digital images; detecting one or more lit candles within the one or more digital images; using a data processor to automatically determine an event classification responsive to analyzing a spatial arrangement of the detected lit candles in the one or more digital images; and storing metadata in a processor-accessible memory associating the determined event classification with each of the one or more digital images.

Abstract: A method for determining an event classification for a set of related digital images, comprising: receiving a set of related digital images; detecting one or more man-made light emitting sources within at least one of the digital images; using a data processor to automatically determine an event classification responsive to analyzing a spatial arrangement of the detected man-made light emitting sources in the one or more digital images; and storing metadata in a processor-accessible memory associating the determined event classification with each of the digital images in the set of digital images.

Abstract: A method for estimating a personal appeal of a candidate individual to an observer, comprising: designating a set of proxy individuals; providing one or more digital images for each proxy individual; determining personal appeal values of each proxy individual to the observer; providing one or more digital images for the candidate individual; determining image similarity metrics between the digital images for the candidate individual and the digital images for each proxy individual; determining similarity values between the candidate individual and each proxy individual responsive to the determined image similarity metrics; and estimating the personal appeal of the candidate individual to the observer by determining a weighted combination of the personal appeal values for the proxy individuals, wherein the weighted combination uses weighting coefficients that are determined responsive to the similarity values between the candidate individual and the corresponding proxy individual.

Abstract: An appeal estimation system for estimating a personal appeal of a candidate individual to an observer including a digital image capture device and a soft-copy display.

Abstract: Pre-image-acquisition information is obtained by a digital camera and transmitted to a system external to the digital camera. The system is configured to provide image-acquisition settings to the digital camera. In this regard, the digital camera receives the image-acquisition settings from the external system and performs an image-acquisition sequence based at least upon the received image-acquisition settings. Accordingly, the determination of image-acquisition settings can be performed remotely from the digital camera, where data-processing resources can greatly exceed those within the digital camera.

Abstract: A method for dating photographic prints comprising scanning a front side of a photographic print forming an image scan; scanning a back side of the photographic print forming a back scan; defining a database of photographic print watermarks, each photographic print watermark comprising a representation of a watermark pattern and an associated date range; analyzing the back scan using a cross-correlation process between the back scan and the watermark patterns in the database of photographic print watermarks to identify a matching photographic print watermark; determining a date range for the image scan responsive to the identified matching photographic print watermark; and associating the determined date range with the image scan.

Abstract: The present invention is directed to systems and methods that provide enhanced eye safety for image projection systems. In particular, the instant invention provides enhanced eye safety for long throw laser projection systems.

Abstract: A method of evaluating a user subject interest is based at least upon an analysis of a user's collection of digital image records and is implemented at least in part by a data processing system. The method receives a defined user subject interest, receives a set of content requirements associated with the defined user-subject-interest, and identifies a set of digital image records from the collection of digital image records each having image characteristics in accord with the content requirements. A subject-interest trait associated with the defined user-subject-interest is evaluated based at least upon an analysis of the set of digital image records or characteristics thereof. The subject-interest trait is associated with the defined user-subject-interest in a processor-accessible memory.