Andrew C Gallagher

US Patent:

7683962, Mar 23, 2010

Filed:

Mar 9, 2007

Appl. No.:

11/684036

Inventors:

John N. Border - Walworth NY, US
Amy D. Enge - Spencerport NY, US
Efrain O. Morales - Rochester NY, US
Bruce H. Pillman - Rochester NY, US
Keith A. Jacoby - Rochester NY, US
Russell J. Palum - Rochester NY, US
Andrew C. Gallagher - Pittsburgh PA, US

Assignee:

Eastman Kodak Company - Rochester NY

International Classification:

H04N 5/232
G03B 13/00
G03B 13/34

US Classification:

348348, 348345, 396100

Abstract:

An electronic camera for producing an output image of a scene from a captured image signal includes a first imaging stage comprising a first image sensor for generating a first sensor output and a first lens for forming a first image of the scene on the first image sensor, and a second imaging stage comprising a second image sensor for generating a second sensor output and a second lens for forming a second image of the scene on the second image sensor, where the lenses have different focal lengths. A processing stage uses the sensor output from one of the imaging stages as the captured image signal and uses the images from both imaging stages to generate a range map identifying distances to the different portions of the scene.

US Patent:

7860320, Dec 28, 2010

Filed:

Jun 26, 2006

Appl. No.:

11/426468

Inventors:

Jiebo Luo - Pittsford NY, US
Andrew C. Gallagher - Pittsburgh PA, US

Assignee:

Eastman Kodak Company - Rochester NY

International Classification:

G06K 9/70

US Classification:

382227

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.

US Patent:

7982909, Jul 19, 2011

Filed:

Aug 29, 2006

Appl. No.:

11/511798

Inventors:

Louis J. Beato - Rochester NY, US
Anthony Scalise - Fairport NY, US
Joseph A. Manico - Rochester NY, US
Andrew C. Gallagher - Pittsburgh PA, US

Assignee:

Eastman Kodak Company - Rochester NY

International Classification:

G06K 15/00
G06F 3/12
H04N 5/76

US Classification:

358 19, 358 116, 358 328, 358474, 3482312

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.

US Patent:

8315463, Nov 20, 2012

Filed:

Nov 14, 2006

Appl. No.:

11/559544

Inventors:

Andrew C. Gallagher - Pittsburgh PA, US
Alexander C. Loui - Penfield NY, US
Cathleen D. Cerosaletti - Rochester NY, US
Stacie L. Hibino - San Jose CA, US
Madirakshi Das - Rochester NC, US
Peter O. Stubler - Rochester NY, US

Assignee:

Eastman Kodak Company - Rochester NY

International Classification:

G06K 9/46
G06K 9/00

US Classification:

382190

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.

US Patent:

20080002864, Jan 3, 2008

Filed:

Jun 29, 2006

Appl. No.:

11/427352

Inventors:

Madirakshi Das - Rochester NY, US
Andrew C. Gallagher - Pittsburgh PA, US
Alexander C. Loui - Penfield NY, US

International Classification:

G06K 9/00
G06K 9/34

US Classification:

382118, 382173

Abstract:

A method of identifying a particular background feature in a digital image, and using such feature to identify images in a collection of digital images that are of interest, includes using the digital image for determining one or more background region(s), with the rest of the image region being the non-background region; analyzing the background region(s) to determine one or more features which are suitable for searching the collection; and using the one or more features to search the collection and identifying those digital images in the collection that have the one or more features.

US Patent:

20080208791, Aug 28, 2008

Filed:

Feb 27, 2007

Appl. No.:

11/679420

Inventors:

Madirakshi Das - Rochester NY, US
Peter O. Stubler - Rochester NY, US
Alexander C. Loui - Penfield NY, US
Andrew C. Gallagher - Pittsburgh PA, US

International Classification:

G06F 17/30

US Classification:

707 1

Abstract:

A method is disclosed for retrieving images relevant to an example image from among a plurality of stored images, each of the stored images being associated with metadata of different types, including retrieving set(s) of images from the stored image(s) for each different type of metadata that are based on similarities of the metadata of each different type with the example image; displaying the retrieved set(s) of image(s) organized according to each different type of metadata; and the user selecting one or more particular set(s) of retrieved image(s).

US Patent:

20190147105, May 16, 2019

Filed:

Nov 15, 2017

Appl. No.:

15/813978

Inventors:

- Mountain View CA, US
Michael Nechyba - Pittsburgh PA, US
Andrew C. Gallagher - Mountain View CA, US
Utsav Prabhu - Pittsburgh PA, US

International Classification:

G06F 17/30
G06N 3/08

Abstract:

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for partitioning videos. In one aspect, a method includes obtaining a partition of a video into one or more shots. Features are generated for each shot, including visual features and audio features. The generated features for each shot are provided as input to a partitioning neural network that is configured to process the generated features to generate a partitioning neural network output. The partition of the video into one or more chapters is determined based on the partitioning neural network output, where a chapter is a sequence of consecutive shots that are determined to be taken at one or more locations that are semantically related.