Christopher Stefan Ahlers, Age 42San Francisco, CA

Christopher Ahlers Phones & Addresses

San Francisco, CA

State College, PA

102 Luna Ln, Johnstown, PA 15904 (814) 244-6541

Work

Company: Clean Air Council Address:

Mentions for Christopher Stefan Ahlers

Career records & work history

Lawyers & Attorneys

Christopher Ahlers Photo 1

Christopher Ahlers - Lawyer

Office:
Clean Air Council
Specialties:
Labor and Employment, Environmental Litigation, Environmental Compliance, Business Immigration, Intellectual Property
ISLN:
909892768
Admitted:
1994
University:
Cornell University, B.A., 1990
Law School:
Boston College Law School, J.D., 1993

Publications & IP owners

Us Patents

Method And Apparatus For Document Conversion

US Patent:
2014010, Apr 17, 2014
Filed:
Oct 16, 2012
Appl. No.:
13/653214
Inventors:
- Mountain View CA, US
Kapil Mohan Gupta - Delhi, IN
Michael Casey Brown - San Francisco CA, US
Akash Agrawal - Gurgaon, IN
Christopher S. Ahlers - San Francisco CA, US
Jeba Singh Emmanuel - Tirunelveli, IN
Ujjwal Singh Grover - New Delhi, IN
Assignee:
LINKEDIN CORPORATION - Mountain View CA
International Classification:
G06F 17/00
US Classification:
715201
Abstract:
Method and apparatus for converting a document from a fixed-layout format (e.g., Microsoft Office, Adobe PDF) into a non-fixed layout format (e.g., HTML) portable to different platforms (e.g., desktop computers, tablet computer, smart phones) operating different operating systems (e.g., Microsoft Windows, Apple OS X) and different web browsers (e.g., Microsoft Internet Explorer, Apple Safari, Mozilla FireFox). In one stream, fonts are identified, extracted, and processed to enhance compatibility with the portable format. In another stream, textual content is extracted and processed to enhance compatibility and images are taken of non-textual content. These images are used as backgrounds in the output document, over which the textual content is rendered in the appropriate fonts, with sizing, spacing, positioning and/or other characteristics matching or closely approximating that of the original document. Error detection is applied by comparing images of the original document to corresponding images of the output document, to ensure high fidelity.

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