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Michael D Steffano, 652607 NW Foley Ct, Bend, OR 97703

Michael Steffano Phones & Addresses

1917 SW Troon Ave, Bend, OR 97702   

5104 Beverly Hills Dr, Austin, TX 78731    512-3021469    512-3021574   

Kansas City, MO   

7466 Benbow Dr, Garberville, CA 95542   

Dallas, TX   

5104 Beverly Hills Dr, Austin, TX 78731   

Work

Position: Professional Specialty Occupations

Education

Degree: Associate degree or higher

Mentions for Michael D Steffano

Michael Steffano resumes & CV records

Resumes

Michael Steffano Photo 15

Chief Operating Gorilla At Koncrete Gorilla, Llc

Position:
Chief Operating Gorilla at Koncrete Gorilla, LLC, Managing Partner at Austin Programmers Group, Executive Director & Founder at Birthmarks.com
Location:
Austin, Texas
Industry:
Information Technology and Services
Work:
Koncrete Gorilla, LLC - Austin, Texas Area since Apr 2011
Chief Operating Gorilla
Austin Programmers Group - Austin, Texas Area since Aug 1996
Managing Partner
Birthmarks.com since Nov 1995
Executive Director & Founder
Cgate Health - Austin, TX Sep 2011 - Feb 2012
Director of Integration & Support
Austin Data Storage, LLC Apr 2006 - Apr 2011
President, Co-founder
Occendo, LLC Nov 2008 - Nov 2009
Chief Technology Officer, Co-founder
Viewics 1996 - 2001
Chief Operating Officer, Co-founder
Education:
Southern Methodist University 1978 - 1983
BS, Computer Science, Psychology, Mathematics
Interests:
Motorcycles, yoga, alternative energy, art, religious iconography, martial arts, mountain bike riding, commercial real estate, biotechnology

Publications & IP owners

Us Patents

Real-Time Method Of Digitally Altering A Video Data Stream To Remove Portions Of The Original Image And Substitute Elements To Create A New Image

US Patent:
5764306, Jun 9, 1998
Filed:
Mar 18, 1997
Appl. No.:
8/819921
Inventors:
Michael D. Steffano - Austin TX
Assignee:
The Metaphor Group - Irving TX
International Classification:
H04N 5272
US Classification:
348586
Abstract:
A method that allows the real-time replacement of the designated background portion of an incoming video signal with an alternate background. The method utilizes the actual background image for reference as the basis for determining the background and foreground elements within the image with the end result being comparable to traditional blue-screen processes, such as chroma-key and ultimate technology, but requiring only a personal computer, video camera and the software. In this case, however, the reference background image can be any reasonably static scene with a sufficient and stable light source captured by the camera. The video data stream is modified in real-time by comparisons against the reference background image and is then passed on to its original destination. Multiple signal-noise processing algorithms are applied in real-time against the signal to achieve a visually acceptable matte.

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