Charles Etta Parker

US Patent:

8396304, Mar 12, 2013

Filed:

Jun 30, 2010

Appl. No.:

12/826805

Inventors:

Andrew C. Blose - Penfield NY, US
Andrew C. Gallagher - Fairport NY, US
Joseph A. Manico - Rochester NY, US
Charles L. Parker - Rochester NY, US

Assignee:

Eastman Kodak Company - Rochester NY

International Classification:

G06K 9/72

US Classification:

382229, 382180

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.

US Patent:

8531482, Sep 10, 2013

Filed:

Jun 25, 2010

Appl. No.:

12/823197

Inventors:

Andrew C. Blose - Penfield NY, US
Andrew C. Gallagher - Fairport NY, US
Joseph A. Manico - Rochester NY, US
Charles L. Parker - Rochester NY, US

Assignee:

Eastman Kodak Company - Rochester NY

International Classification:

G09G 5/00

US Classification:

345629, 345581, 345619, 345636, 345660

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.

US Patent:

20110270813, Nov 3, 2011

Filed:

Apr 29, 2010

Appl. No.:

12/769975

Inventors:

Ronald S. Cok - Rochester NY, US
Kenneth A. Parulski - Rochester NY, US
Timothy L. Nichols - Spencerport NY, US
Charles Parker - Rochester NY, US
Bryan D. Morgan - Ramona CA, US
Daniel L. Ahlberg - Pleasanton CA, US
Manish Sharma - Fremont CA, US

International Classification:

G06F 17/30

US Classification:

707705, 707E17107

Abstract:

A computer or computer system stores digital images, user personalization profiles, and image usage profiles. The image usage profiles contain information identifying how often and by what user a digital image was viewed, shared, printed or otherwise used by a user. The user personalization profiles include information identifying the digital images that are viewed, shared, printed or otherwise used by a user. The system automatically generates and stores a preferred product or service associated with a user personalization profile based on the information in the user profile and on information in an image usage profile.

US Patent:

20110270947, Nov 3, 2011

Filed:

Apr 29, 2010

Appl. No.:

12/769954

Inventors:

Ronald S. Cok - Rochester NY, US
Kenneth A. Parulski - Rochester NY, US
Timothy L. Nichols - Spencerport NY, US
Charles L. Parker - Rochester NY, US
Bryan D. Morgan - Ramona CA, US
Daniel L. Ahlberg - Pleasanton CA, US
Manish Sharma - Fremont CA, US

International Classification:

G06F 15/16

US Classification:

709217

Abstract:

A method for creating image products and services for users connected to and in communication with a server through a computer network. User personalization profiles are generated and stored for each of the users and each personalization profile contains personal preferences for the plurality of users. Digital images are received from the plurality of client computers and are stored in a storage system on the digital image server. In response to a particular user selecting an image product or service using a stored digital image, the server automatically provides over the network a customized offering of a second product or service to the particular user. The offering is customized in response to at least one of the image usage profiles and in response to at least one of the user personalization profiles.

US Patent:

20140056432, Feb 27, 2014

Filed:

Aug 22, 2012

Appl. No.:

13/591489

Inventors:

Alexander C. Loui - Penfield NY, US
Wei Jiang - Fairport NY, US
Kevin Michael Gobeyn - Rochester NY, US
Charles Parker - Corvallis OR, US

International Classification:

H04R 29/00

US Classification:

381 56

Abstract:

A method for determining a semantic concept associated with an audio signal captured using an audio sensor. A data processor is used to automatically analyze the audio signal using a plurality of semantic concept detectors to determine corresponding preliminary semantic concept detection values, each semantic concept detector being adapted to detect a particular semantic concept. The preliminary semantic concept detection values are analyzed using a joint likelihood model based on predetermined pair-wise likelihoods that particular pairs of semantic concepts co-occur to determine updated semantic concept detection values. One or more semantic concepts are determined based on the updated semantic concept detection values. The semantic concept detectors and the joint likelihood model are trained together with a joint training process using training audio signals, at least some of which are known to be associated with a plurality of semantic concepts.

US Patent:

20140058982, Feb 27, 2014

Filed:

Aug 22, 2012

Appl. No.:

13/591472

Inventors:

Alexander C. Loui - Penfield NY, US
Wei Jiang - Fairport NY, US
Kevin Michael Gobeyn - Rochester NY, US
Charles Parker - Corvallis OR, US

International Classification:

G06F 15/18

US Classification:

706 12

Abstract:

A method for controlling a device responsive to an audio signal captured using an audio sensor. A data processor is used to automatically analyze the audio signal using a plurality of semantic concept detectors to determine corresponding preliminary semantic concept detection values, each semantic concept detector being adapted to detect a particular semantic concept. The preliminary semantic concept detection values are analyzed using a joint likelihood model based on predetermined pair-wise likelihoods that particular pairs of semantic concepts co-occur to determine updated semantic concept detection values. One or more semantic concepts are determined based on the updated semantic concept detection values, and the device is controlled responsive to identified semantic concepts. The semantic concept detectors and the joint likelihood model are trained together with a joint training process using training audio signals, at least some of which are known to be associated with a plurality of semantic concepts.

US Patent:

20150331943, Nov 19, 2015

Filed:

Jul 28, 2015

Appl. No.:

14/810812

Inventors:

- Rochester NY, US
Dhiraj Joshi - Rochester NY, US
Charles Parker - Rochester NY, US

Assignee:

KODAK ALARIS INC. - Rochester NY

International Classification:

G06F 17/30

Abstract:

A method for automatically selecting thematically representative music is disclosed. A processor is used for using a theme-related keyword to search a keyword-indexed video repository to retrieve videos associated with the theme-related keyword; analyzing the retrieved videos to select videos with music; and extracting music tracks and features from the selected videos. The method further includes selecting representative music related to the theme from the extracted music tracks using the extracted features; and storing the selected representative music in a processor accessible memory.