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Charles S Dorner

from Seattle, WA
Age ~43
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Also known as:
Charles S Borner
Related to:
Lisa M Venuto, 45Michael J Venuto, 46Bryan C Dorner, 80Susan K Walthall, 70B W DornerWilliam W Dorner, 53Jeanette W Dorner, 52Celine A Dorner, 77Karl H Walthall, 71
Connected to:
Brian P Dorner, 42Jim Dorner, 61Justin Dornetto, 42Jennifer B Dorney, 56Regina C Dorney, 119Alan M Dornfeld, 69David K Dornfried, 70Cassandra L Dornhecker, 52Christine M Dornhecker, 39Thomas B Dornhofer, 75

Charles Dorner Phones & Addresses

  • Seattle, WA
  • 809 S Warner St, Tacoma, WA 98405
  • 5814 264Th St, Graham, WA 98338 (253) 847-2989

Resumes

Resumes

Charles Dorner Photo 1

Senior Design Technologist - Hcx

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Location:
7600 Doane Dr, Manassas, VA 20109
Industry:
Internet
Work:
Amazon - Seattle, WA since Jul 2012
UX Prototyper / Design Technologist
Creative Educational Experiences Oct 2004 - Nov 2012
President, Director
SiteCrafting Inc Oct 2009 - Jun 2012
Senior Web Application Developer
Feel Good Solutions Nov 2004 - Feb 2010
Sole Proprietor
Starbucks Coffee Company Oct 2006 - Jun 2008
Barista
Education:
Pacific Lutheran University 1998 - 2004
B.S., Mathematics, Computer Science, Music Henry Foss High School 1994 - 1998
Annie Wright Middle School 1992 - 1994
Landmark Education
Skills:
User Interface Design
Leadership
Invention
Human Centered Machine Learning
Vision
Interaction Design
Algorithm Design
Idea Incubation
Technology Synthesis
User Experience
Social Media
Javascript
Patents
Patent Applications
Html
Mysql
Information Architecture
Mobile
Node.js
Java
Public Speaking
Event Planning
Wealth Accumulation
Investments
Mlux
Intuition
Interests:
Economic Empowerment
Education
Environment
Poverty Alleviation
Science and Technology
Disaster and Humanitarian Relief
Human Rights
Animal Welfare
Arts and Culture
Health
Charles Dorner Photo 2

Charles Dorner

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Charles Dorner Photo 3

Visionary, Developer, Trader, Investor, Philanthropist

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Location:
Greater Seattle Area
Industry:
Internet
Charles Dorner Photo 4

Charles Dorner

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Location:
United States

Business Records

Name / Title
Company / Classification
Phones & Addresses
Charles Dorner
President
Feel Good
Computers - Sys Designers & Consult
5814 264Th St E, Graham, WA 98338
(253) 973-8975
Charles Dorner
Principal, President
Feel Good
Custom Computer Programing · Custom Computer Programming Services, Nsk
5814 264 St E, Harbor Heights, WA 98338
(253) 973-8975

Publications

Us Patents

Color-Related Social Networking Recommendations Using Affiliated Colors

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US Patent:
20170270620, Sep 21, 2017
Filed:
Jun 7, 2017
Appl. No.:
15/616797
Inventors:
- Seattle WA, US
Jenny Ann Blackburn - Seattle WA, US
Charles Shearer Dorner - Seattle WA, US
Eva Manolis - Bellevue WA, US
Timothy Andrew Ong - Sammamish WA, US
International Classification:
G06Q 50/00
G06Q 30/06
Abstract:
Systems and methods are provided for generating social networking recommendations. A color preference of a first user may be determined from a color palette of a first image associated with the user and/or a color palette of an item associated with the user. Other users may be identified that have a similar color preference as the first user based at least in part on the determined color preference of the first user. Interactions between the first user and one or more other users having similar color preferences with respect to the first user may be facilitated. A social networking recommendation may be generated with respect to the one or more other users having similar color preferences with respect to the first user.

Browsing Interface For Item Counterparts Having Different Scales And Lengths

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US Patent:
20170262959, Sep 14, 2017
Filed:
Mar 8, 2016
Appl. No.:
15/064484
Inventors:
- Seattle WA, US
Alexander Adrian Hugh Davidson - Seattle WA, US
Charles Shearer Dorner - Seattle WA, US
International Classification:
G06T 3/00
G09G 5/14
G06F 3/0484
G06T 7/00
Abstract:
Features are disclosed for an interface for browsing images of items having different scales and lengths such as clothing. The interface may present two portions of a subject, each portion selected from different data stores of images. The interface may provide a unified view of the portions. For example, a first portion may be taken from an image of the subject wearing a golf shirt and long pants. A second portion may be taken from an image of the subject wearing a long sleeved shirt and shorts. The first portion may show only the golf shirt and the second portion may show only the shorts thereby providing a depiction of what the subject would look like wearing the shirt shown in the first image with the shorts shown in the second image.

Browsing Interface For Item Counterparts Having Different Scales And Lengths

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US Patent:
20170262991, Sep 14, 2017
Filed:
Mar 8, 2016
Appl. No.:
15/064490
Inventors:
- Seattle WA, US
Charles Shearer Dorner - Seattle WA, US
Douglas J. Gradt - Seattle WA, US
Jongwoo Lee - Seattle WA, US
Eva Manolis - Bainbridge Island WA, US
Maggie McDowell - Seattle WA, US
Ning Yao - San Jose CA, US
International Classification:
G06T 7/00
G06T 3/00
G06T 3/40
G06T 11/00
Abstract:
Features are disclosed for an automatic segmentation and alignment of images for display via an interface. The images may have different scales and lengths. As such, items shown in the images, such as clothing, may not be depicted in a uniform way. Segmentation of the images into image portions where a portion of an image shows a specific item is described. The segmentation may be achieved using models and/or complex image analysis. To provide a realistic view of the subject when image segments are presented together on an interface, additional alignment of the image segments may be performed. The alignment may be achieved using models and/or complex image analysis.

Automatic Image-Based Recommendations Using A Color Palette

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US Patent:
20170098314, Apr 6, 2017
Filed:
Dec 19, 2016
Appl. No.:
15/384156
Inventors:
- Seattle WA, US
Charles Shearer Dorner - Seattle WA, US
Gonzalo Alberto Ramos - Kirkland WA, US
International Classification:
G06T 11/00
G06K 9/46
Abstract:
Systems and methods are described that recommend images, items, and/or metadata based at least in part on a reference color palette or reference color name. A color name can be converted into a representation of the color name in a color space. The reference color can be used to identify images that contain the reference color. The identified images and associated metadata can be analyzed, sorted and provided as an ordered list of items. Systems and methods are also described that identify items that contain colors affiliated with the reference color. Systems and methods are also described that validate color identifier information in metadata associated with an image. Systems and methods are also described that identify non-color specific keywords associated with the reference color.

Generating Visualizations From Keyword Searches Of Color Palettes

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US Patent:
20150379000, Dec 31, 2015
Filed:
Jun 26, 2014
Appl. No.:
14/315914
Inventors:
- Reno NV, US
Jenny Ann Blackburn - Seattle WA, US
Charles Shearer Dorner - Seattle WA, US
Eva Manolis - Bellevue WA, US
Timothy Andrew Ong - Sammamish WA, US
International Classification:
G06F 17/30
Abstract:
Systems and methods are described herein to generate visualizations associated with color palettes identified from keyword searches. Color palettes may include colors determined by human color preferences. Color palettes may be searched by name or other data associated with the color palettes based at least in part on text or audio data. Visualizations such as mood lighting and/or atmosphere colors may be based at least in part on the searched color palettes.

Automatic Color Validation Of Image Metadata

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US Patent:
20150379001, Dec 31, 2015
Filed:
Jun 26, 2014
Appl. No.:
14/315932
Inventors:
- Reno NV, US
Charles Shearer Dorner - Seattle WA, US
Robert Yuji Haitani - Seattle WA, US
Gonzalo Alberto Ramos - Kirkland WA, US
International Classification:
G06F 17/30
Abstract:
Systems and methods are described that validate color information in metadata associated with an image. Color information associated with images, in metadata, may need to be validated because there may be mistakes in the metadata. Color names associated with colors may be based on human generated data or human surveys. Individual colors may be extracted from images, which may be associated with the color names. Furthermore, the color names may be retrieved from a data store via a fast index color search. The color information in the metadata may be validated against the color names.

Identifying Data From Keyword Searches Of Color Palettes And Keyword Trends

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US Patent:
20150379004, Dec 31, 2015
Filed:
Jun 26, 2014
Appl. No.:
14/315995
Inventors:
- RENO NV, US
Jenny Ann Blackburn - Seattle WA, US
Charles Shearer Dorner - Seattle WA, US
Timothy Andrew Ong - Sammamish WA, US
International Classification:
G06F 17/30
Abstract:
Systems and methods are described herein to determine data associated with keyword searches of color palettes based at least in part on keyword trends. A keyword trend may include popular colors of color palettes associated with the keyword. Color palettes may be searched by name or other data associated with the color palettes. Furthermore, color palettes associated with a keyword may be filtered by color trends and/or keyword trends. The items and/or images associated with the filtered color palettes may be identified and presented to a user.

Automatic Image-Based Recommendations Using A Color Palette

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US Patent:
20150379732, Dec 31, 2015
Filed:
Jun 26, 2014
Appl. No.:
14/316598
Inventors:
- Reno NV, US
Charles Shearer Dorner - Seattle WA, US
Gonzalo Alberto Ramos - Kirkland WA, US
International Classification:
G06T 7/40
G06Q 30/06
G06K 9/46
Abstract:
Systems and methods are described that recommend images, items, and/or metadata based at least in part on a reference color palette or reference color name. A color name can be converted into a representation of the color name in a color space. The reference color can be used to identify images that contain the reference color. The identified images and associated metadata can be analyzed, sorted and provided as an ordered list of items. Systems and methods are also described that identify items that contain colors affiliated with the reference color. Systems and methods are also described that validate color identifier information in metadata associated with an image. Systems and methods are also described that identify non-color specific keywords associated with the reference color.
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Charles S Dorner from Seattle, WA, age ~43 Get Report