Eastman-kodak Company

Intellectual Ventures Fund 83 LLC

Anthony Scalise

Robert B Poetker

Kevin R DeLong

Andrew C Blose

Ronald S Cok

Joseph Anthony Manico

Dale Frederick McIntyre

Andrew Charles Gallagher

Peter O Stubler

Kevin Michael Gobeyn

Robert M Goodwin

Heemin Kwon

Louis J Beato

Patrick Andre Cosgrove

A method of combining an image with an imaging-related product, comprising: providing an image; forming an image-color histogram of spatially-coherent color clusters within the image, the image-color histogram indicating the frequency of occurrence of spatially-coherent related colors in the image; selecting one or more of the image colors having a frequency of occurrence in the image high enough to be visible to an image observer; selecting an imaging-related product having one or more of the selected high-frequency colors within the imaging-related product or having a color complementary to one or more of the selected high-frequency colors within the imaging-related product; and combining the image and the imaging-related product.

Method for combining image and imaging product

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.

Dating images from scanned watermarks

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.

Evaluating subject interests from digital image records

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.

Method for automatically generating a dynamic digital metadata record from digitized hardcopy media

An improved method for cropping a main subject from a digital image is disclosed. A skin color map and face map are independently computed and then blended to produce a revised map. A region map is computed by segmenting the digital image into a plurality of regions. A main subject importance map is calculated from the revised map and the region map. The digital image is cropped based on the main subject map.

Digital image cropping using a blended map

Systems and methods for generating user profiles based at least upon an analysis of image content from digital image records are provided. The image content analysis is performed to identify trends that are used to identify user subject interests. The user subject interests may be incorporated into a user profile that is stored in a processor-accessible memory system.

Image record trend identification for user profiles

A photofinishing image processing operator detects failures in the performance of a scene balance mechanism on a digitized image and enables a photofinisher to interactively correct for such failures before the failed image has been processed and an unacceptable output image printed. Whenever a failed image is identified, one or more reasonably low resolution versions of the image as processed by the scene balance mechanism are displayed to the photofinishing operator, together with a request for image adjustment information that is used to modify or correct the color balance of the image. In response to this user input information, the image processor adjusts color balance parameters of the scene balance mechanism, so that the digitized image processed by the modified scene balance mechanism will yield a print of acceptable color balance quality. This interaction of the photofinishing operator with the image processing system may be accomplished by way of several modes, including displaying differently processed versions of the image, or a single version of the image processed by the scene balance mechanism, together with a question regarding the type of image. The failure detection mechanism preferably employs a non-linear discriminator, such as a neural network.

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Fairport, NY, United States of America

Anthony Scalise