Jack M Reese

US Patent:

20120200948, Aug 9, 2012

Filed:

Feb 8, 2011

Appl. No.:

13/022813

Inventors:

Jack Reese - Lindon UT, US
Shawn Reid - Orem UT, US

Assignee:

Ancestry.com Operations Inc. - Provo UT

International Classification:

G02B 5/08

US Classification:

359866

Abstract:

Devices, systems, and methods for facilitating the imaging of books are presented. A first transparent plate and a second transparent plate may be positioned at approximately a 45 degree angle to the first transparent plate. A dual-sided mirror may be configured to be positioned substantially parallel with the first transparent plate and to be positioned substantially parallel with the second transparent plate. The first side of the dual-sided mirror may be configured to reflect a first image of a first page of a book, the first image being received by the dual-sided mirror through the first transparent plate. The second side of the dual-sided mirror may be configured to reflect a second image of a second page of the book, the second image being received by the dual-sided mirror through the second transparent plate.

US Patent:

20120248280, Oct 4, 2012

Filed:

Mar 30, 2011

Appl. No.:

13/075565

Inventors:

Jack Reese - Lindon UT, US
Shawn Reid - Orem UT, US

Assignee:

Ancestry.com Operations Inc. - Provo UT

International Classification:

A47B 23/00
B23P 11/00

US Classification:

248448, 29428

Abstract:

Various methods and devices involving reprographic copy stands are described. A reprographic copy stand may include a first support element configured to support a first cover of a book at a first plurality of angles. The reprographic copy stand may also include a second support element configured to support a second configured to support a second cover of the book at a second plurality of angles. The reprographic copy stand may include a platform configured to couple with the first support element at a first plurality of positions and the second support element at a second plurality of positions. The distance between the support elements may be variable according to the position of the first support selected from the first plurality of positions and the position of the second support selected from the second plurality of positions such that a plurality of book binding thicknesses are accommodated by the distance.

US Patent:

20130156344, Jun 20, 2013

Filed:

Dec 14, 2011

Appl. No.:

13/325396

Inventors:

Jack Reese - Lindon UT, US
Shawn Reid - Orem UT, US

Assignee:

Ancestry.com - Provo UT

International Classification:

G06K 9/32

US Classification:

382296

Abstract:

The present invention provides a method of correcting alignment of an image. The method includes identifying an image of a document, and detecting a plurality of lines within the image. The method also includes classifying at least a subset of the plurality of lines as either horizontal or vertical lines, and determining whether a variance exists within a subset of the plurality of lines. Furthermore, the method includes applying a corrective transformation to adjust the image, where the variance within the subset of the plurality of lines is at least partially reduced as compared to the variance prior to the application of the corrective transformation.

US Patent:

20130266215, Oct 10, 2013

Filed:

Apr 5, 2012

Appl. No.:

13/440754

Inventors:

Chris Brookhart - Lehi UT, US
Jack Reese - Lindon UT, US

Assignee:

Ancestry.com Operations, Inc. - Provo UT

International Classification:

G06K 9/68
G06K 9/62

US Classification:

382162, 382218

Abstract:

Undated photos are organized by estimating the date of each photo. The date is estimated by building a model based on a set of reference photos having established dates, and comparing image characteristics of the undated photo to the image characteristics of the reference photos. The photo characteristics can include hues, saturation, intensity, contrast, sharpness and graininess as represented by image pixel data. Once the date of a photo is estimated, it can be tagged with identifying information, such as by using the estimated date to associate the photo with a node in a family tree.

US Patent:

20140064621, Mar 6, 2014

Filed:

Aug 31, 2012

Appl. No.:

13/601111

Inventors:

Jack Reese - Lindon UT, US
Shawn Reid - Orem UT, US
Laryn Brown - Highland UT, US
Randy Hansen - Lindon UT, US
Mark Oswald - Cedar Hills UT, US

Assignee:

Ancestry.com - Provo UT

International Classification:

G06K 9/46

US Classification:

382190

Abstract:

According to one embodiment, a method of linking a document image with indexed data is provided. The method may be performed by providing a document image, which is a digitized document having various information. Indexed data is also provided, which is a record that includes information extracted from the document image or a different document image. The process is further performed by identifying a feature of the indexed data and analyzing the document image to determine whether the feature is present within the information of the digitized document. The feature may be information or a characteristic defined by the information extracted from the document image or the different document image. If the feature is present within the information of the digitized document, a determination is made that the indexed data corresponds with the document image and the indexed data is linked with the document image.

US Patent:

20210150262, May 20, 2021

Filed:

Jan 26, 2021

Appl. No.:

17/158801

Inventors:

- Lehi UT, US
Michael Murdock - Lehi UT, US
Jack Reese - Lindon UT, US
Shawn Reid - Orem UT, US

Assignee:

Ancestry.com Operations Inc. - Lehi UT

International Classification:

G06K 9/62

Abstract:

Systems and methods for classifying historical images. A feature extractor may create feature vectors corresponding to a plurality of images. A first classification of the plurality of images may be performed based on the plurality of feature vectors, which may include assigning a label to each of the plurality of images and assigning a probability for each of the assigned labels. The assigned probability for each of the assigned labels may be related to a statistical confidence that a particular assigned label is correctly assigned to a particular image. A subset of the plurality of images may be displayed to a display device. An input corresponding to replacement of an incorrect label with a corrected label for a certain image may be received from a user. A second classification of the plurality of images based on the input from the user may be performed.

US Patent:

20200410235, Dec 31, 2020

Filed:

Sep 11, 2020

Appl. No.:

17/018611

Inventors:

- Lehi UT, US
Yen-Yun Yu - Murray UT, US
Jiayun Li - Los Angeles CA, US
Jack Reese - Lindon UT, US
Azadeh Moghtaderi - San Francisco CA, US

Assignee:

Ancestry.com Operations Inc. - Lehi UT

International Classification:

G06K 9/00
G06F 17/15
G06N 3/08
G06N 3/04

Abstract:

Embodiments described herein relate generally to a methodology of efficient object classification within a visual medium. The methodology utilizes a first neural network to perform an attention based object localization within a visual medium to generate a visual mask. The visual mask is applied to the visual medium to generate a masked visual medium. The masked visual medium may be then fed into a second neural network to detect and classify objects within the visual medium.

US Patent:

20200097723, Mar 26, 2020

Filed:

Sep 17, 2019

Appl. No.:

16/573180

Inventors:

- Lehi UT, US
Yen-Yun Yu - Murray UT, US
Jiayun Li - Los Angeles CA, US
Jack Reese - Lindon UT, US
Azadeh Moghtaderi - San Francisco CA, US

Assignee:

Ancestry.com Operations Inc. - Lehi UT

International Classification:

G06K 9/00
G06N 3/04
G06N 3/08
G06F 17/15

Abstract:

Embodiments described herein relate generally to a methodology of efficient object classification within a visual medium. The methodology utilizes a first neural network to perform an attention based object localization within a visual medium to generate a visual mask. The visual mask is applied to the visual medium to generate a masked visual medium. The masked visual medium may be then fed into a second neural network to detect and classify objects within the visual medium.