Fujifilm North America Corporation

Other

Eastman-kodak Company

Christopher T Asbury

William A Fuss

Nathaniel P Curry

Ryan W Moore

Seymen Ertas

Jason Womer

George Jegadesh

Victor Moudgil

Timothy F Crist

Roger S Gaborski

Peter G Anderson

David G Tilley

A method for generating a digital image collage is provided. The method includes accessing digital images stored in a memory; selecting first, second and third digital images; generating a first aperture in a collage template layout, and populating the first aperture with the first digital image; randomly dividing the first aperture into second and third apertures, populating the second and third apertures with the first and second digital images, respectively; randomly dividing the second aperture into fourth and fifth apertures, populating the third aperture with one of the three digital images, populating the fourth aperture with another of the three digital images, populating the fifth aperture with the remaining digital image, identifying one of the three digital images as a target digital image; and changing the size of the respective aperture associated with the target digital image so that the respective aperture includes a greatest aperture area.

System and method for generating a digital image collage

A method for generating a digital image collage is provided. The method includes displaying a collage template on a user interface, wherein the collage template includes populating a plurality of randomly configured apertures with digital images; assigning a weight to each of the apertures based on an area of the apertures; and selecting a new digital image to add in the layout. In response to the user input command, comparing the weights assigned to the respective apertures in the layout to identify an aperture having the greatest weight among the apertures; randomly dividing the aperture having the greatest weight into two new apertures to change the layout to a different arrangement; and populating the two new apertures and the remaining undivided apertures among the plurality of apertures in the layout with the new selected digital image and the previously selected digital images, thereby generating the digital image collage.

A system and method for generating a digital image collage is provided. The method comprises displaying a user interface comprising a collage template including a layout, and a catalog segment; displaying a plurality of digital images in the catalog segment; generating a first aperture in the layout to establish a first arrangement, and populating the first aperture with the first selected digital image; changing the layout from the first arrangement to a second arrangement, wherein the second arrangement comprises randomly dividing the first aperture into a second aperture and a third aperture, populating the second aperture with the first selected digital image, and populating the third aperture with the second selected digital image thereby generating the digital image collage.

A method for generating and displaying a print product offering including a plurality of digital images is provided. In one aspect the method comprises: generating a group of digital images from the plurality of digital images; classifying each of the digital images within the group based on an image quality parameter that is a predetermined minimum image file size; selecting only the digital images in the group which conform to the image quality parameter; providing a pre-developed electronic image product layout including a plurality of virtual orifices; populating the plurality of virtual orifices with only the digital images which conform to the image quality parameter to provide an image product template design; and displaying the image product template design as the print product offering on a display of the computing device.

Methods, system, and computer-readable medium for automatic generation of image-based print product offering

A system and method for generating and displaying a print product offering including a plurality of digital images is provided. The method comprises: providing a photo lab computing device comprising a memory, wherein a plurality of digital images are stored in the memory; generating a group of digital images from the plurality of digital images; classifying each of the digital images within the group based on at least one image quality parameter; selecting one or more of the digital images in the group which conform to the at least one image quality parameter; generating an image product template design including the digital images which conform to the at least one image quality parameter; and displaying the image product template design as a print product offering.

Computer-implemented methods, computer-readable medium, and computer-implemented system for automatic generation of image-based print product offering

A scoring and weighting system and method for providing print device selection on the basis of product characteristics that are specified for a print product is provided. The system determines the properties of one or more printing devices in relation to the product characteristics. The printing devices have one or more print mediums for providing the print product. A score is derived by determining a status respecting the conformity of the one or more print mediums to the product characteristics and evaluating the one or more printing devices' properties. Associating that score with each of the one or more printing device. Also, associating the print product with a print job and utilizing the score to route the print job to one of the one or more printing devices to produce the print product on one of the one or more print mediums.

System and method for routing and specifying print jobs utilizing product characteristics

Methods and apparatus for constructing a classification weights matrix for a pattern recognition system are provided which enable large system feature sets to be reduced and yield at least the same level of performance achieved using the large feature set. Methods and apparatus are also described for determining (evaluating) the classification efficiency of selected subsets of a given feature set. Further aspects of the invention are directed to: (a) methods and apparatus for constructing reduced element classification weights matrices utilizing a genetic search process to find the subset having a maximum classification efficiency; and (b) pattern recognition systems (including, in particular, character identification systems), which utilize classifiers constructed in accordance with the aforementioned aspects of the invention to actually perform pattern recognition.

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Rochester, NY, United States of America

Christopher T Asbury